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<h1 dir="ltr">Summary</h1>
Deadline to apply: Sunday 12 May 2024 (23:59 London time)
Description: We are looking for a passionate and skilled writer to join our team on a permanent basis. The ideal candidate will bring excellent writing skills for a general audience, arguments and narratives built around trusted data, and an ability to drive a clear and exciting agenda in their area of work. This role offers the opportunity to work within a dynamic and supportive team environment, focusing on writing that reaches a wide, influential audience.
Contract type: Full-time, flexible hours.
Compensation: £55,000 to £65,000 per year for candidates living in the UK (approximately $69,000–$81,000). For international candidates, rates are adjusted. Candidates with exceptional experience may be considered for more senior positions.
Location: Our offices are in Oxford, United Kingdom, but many people in our team work remotely. We welcome applications from international candidates, though working hours should partly overlap with core UK working hours to facilitate effective collaboration with our team.

<h1 dir="ltr">About this role</h1>
Joining Our World in Data as a writer is a fantastic opportunity for someone passionate about making complex global issues understandable and relevant to a broad audience. This role is central to our mission of presenting research and data to improve the public's understanding and awareness of the world’s largest problems and their possible solutions.
We are looking for candidates who are comfortable writing about a range of the issues we cover at Our World in Data. You could focus on poverty and inequality, health, demography, or any of the <a href="https://ourworldindata.org/#all-topics" target="_blank">other topics we cover</a>. The ideal candidate has core expertise on some of our topics but can write on a range of topics beyond their core expertise. We welcome applications from writers of any background that links to these areas.
Joining Our World in Data gives a writer a platform to explain some of the world’s most pressing problems to a large and influential global audience. Our pages have been viewed 800 million times in the last 5 years, from every country in the world. Our users include journalists, policymakers, academics, teachers, and many others. Our articles and charts are cited thousands of times per year in major academic journals and some of the largest media publications in the world, including The Economist, BBC, New York Times, Washington Post, The Guardian, and many non-English media outlets. Policymakers and investors often rely on our work in decision-making.
This position is, in essence, a cross-over between research and journalism. Our writers have several goals in their work: they strive to write articles that stay relevant for a long period of time, by relying on data that gets regularly updated by our data team. Secondly, they work with data scientists to build up-to-date interactive visualizations that users can explore for themselves.
To thrive in this role, you’ll need to be an excellent writer and have good quantitative skills; you’ll need to understand complex research, be able to interpret large global datasets on a broad range of topics, and find a way to communicate these findings to a general audience clearly. Overcoming the “curse of knowledge” — ensuring that our data and research are accessible and engaging to those without existing knowledge of the topic — is crucial. Concepts need to be explained clearly to non-experts, avoiding jargon.
One of the most appealing aspects of this role is the opportunity to concentrate on your writing. Most research or journalist roles require you to dedicate much of your time to work other than writing — it requires you to dedicate time to administrative tasks, funding applications, data cleaning, or the promotion of the work. We’ve built a talented team of data scientists, designers, software engineers, product managers, and communications specialists who handle all these things to support the work of others. As a writer, you can dedicate your energy and creativity to what you do best: writing.
<h2 dir="ltr">Key responsibilities</h2>
<ul>
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Writing clear, engaging, and insightful articles on various aspects of the topics we cover, to make complex data and research findings accessible to a non-specialist audience.
</li>
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Collaborating closely with data scientists to produce relevant data and interactive visualizations presenting evidence on the topics you are writing about.
</li>
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Working with our editorial team to identify and prioritize topics to cover. You will be instrumental in setting the agenda for the topics you cover, ensuring they are relevant, impactful, and aligned with our mission.
</li>
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Participating in our editorial process by providing constructive feedback on colleagues’ drafts.
</li>
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Engaging in strategic discussions about the data and research we want to cover, the development of our website and tools, and how we engage with users.
</li>
</ul>
<h1 dir="ltr"></h1>
<h1 dir="ltr">What we’re looking for</h1>
<h2 dir="ltr">Required skills and experience</h2>
<ul>
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Proven track record of clear, engaging, and informative public writing for a general audience, that relies on solid data and builds on the relevant research literature.
</li>
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Good understanding of statistics and excellent ability to interpret and critique data sources. Comfortable working with data visualizations.
</li>
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Ability to develop a clear and exciting agenda for the area under your responsibility based on a strong and well-informed sense of what our audience needs to know and what data is required.
</li>
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Willingness and ability to write across a broad range of topics.
</li>
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Strong interest in global issues and a commitment to the values and <a href="https://ourworldindata.org/problems-and-progress" target="_blank">mission</a> of Our World in Data.
</li>
</ul>
<h2 dir="ltr">Skills and experience that will set you apart</h2>
<ul>
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Experience in producing clear and engaging data visualizations.
</li>
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Proven track record of engaging with audiences through social media, public speaking, or writing for high-impact publications.
</li>
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Experience with giving feedback to other writers.
</li>
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Ability to develop content ideas and editorial strategies relevant to our mission and resonate with our audience.
</li>
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Skills in data analysis and statistical programming.
</li>
</ul>
<h2 dir="ltr">Personal characteristics we look for</h2>
<ul>
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Ability to analyze information critically and change your mind based on evidence.
</li>
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Openness to editorial feedback and an iterative writing process.
</li>
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A high degree of initiative and ability to work independently on projects from conception to completion.
</li>
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Natural curiosity and desire to learn in-depth about a diverse range of topics.
</li>
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Drive to present information in engaging and creative ways.
</li>
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Ability to understand and consider diverse perspectives, particularly when discussing sensitive or complex global issues.
</li>
</ul>
<h1 dir="ltr"></h1>
<h1 dir="ltr">How to apply</h1>
Please complete <a href="https://forms.gle/2osM4MqumSJ7pZnZ7" target="_blank">this form</a> (<a href="https://forms.gle/2osM4MqumSJ7pZnZ7" target="_blank">https://forms.gle/2osM4MqumSJ7pZnZ7</a>) to apply (you will need a Google account). For longer answers, we recommend you prepare them in a separate document and copy them to the form before submitting.
The form will ask you for the following:
<ul>
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Your CV/resume.
</li>
</ul>
<ul>
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Tell us why you want to work for Our World in Data and why you think you’re the right person for this job (maximum 3,000 characters).
</li>
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Links to social media profiles that you use to promote your public writing (if you have any). This can include a blog or Substack.
</li>
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Links to several pieces (up to 4) of your own public writing for a general audience. We strongly recommend that at least one of these pieces was published in English (i.e., not a translation). This is a crucial part of our selection criteria, so select articles that are your best work.
</li>
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Give a short description of three articles that you think should be on Our World in Data, but are not yet there (maximum 3,000 characters).
</li>
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Write a Data Insight of your choice on a given indicator (maximum 100 characters for the title and 700 characters for the text of the insight).
</li>
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Where you came across this job ad so that we can track the effectiveness of our advertising efforts.
</li>
</ul>
We’ll aim to inform you about the status of your application within 2 weeks of the deadline. We expect a large volume of applications and will not be able to offer individual feedback at this stage.
Please also read <a href="https://drive.google.com/file/d/1VcgeJZyMUx1DeNpZTTlvevbLPTpwLTAf/view?usp=sharing" target="_blank">our privacy notice</a> regarding the personal data we collect from you during this hiring process.
If you have any questions about this role, get in touch at <a href="mailto:jobs@ourworldindata.org" target="_blank">jobs@ourworldindata.org</a>; please use the subject line “Writer position 2024” as this will ensure that your email is routed properly.
<h2 dir="ltr">Expected timeline</h2>
<ul>
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After the deadline has closed, we aim to review and respond to all applications within 2 weeks.
</li>
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Successful candidates will progress to the first testing stage. This will involve a few exercises focusing on key insights on global development, and a short data exercise.
</li>
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A smaller pool of candidates will progress to the second testing stage. This stage will be paid. It will involve writing an Our World in Data-style article on a particular topic and improving it based on feedback from our editors.
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Final candidates will progress to interviews with various members of the team.
</li>
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We expect to complete this process within 8 weeks of the application deadline.
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We would like the successful candidate to start working with us in the third quarter of 2024, although we can be flexible for exceptional candidates.
</li>
</ul>
<h1 dir="ltr"></h1>
<h1 dir="ltr">About us</h1>
Our World in Data is produced through a close collaboration between academic researchers, writers, data scientists, web developers, and designers.
Research and data are crucial to making progress against the large problems the world is facing and building a better future. At Our World in Data, we are building a publishing platform to make research and data on the world’s largest problems accessible and understandable.
The world’s problems are diverse: <a href="https://ourworldindata.org/poverty" target="_blank">global poverty</a>, <a href="https://ourworldindata.org/co2-and-other-greenhouse-gas-emissions" target="_blank">greenhouse gas emissions</a>, <a href="https://ourworldindata.org/child-mortality" target="_blank">child mortality</a>,<a href="https://ourworldindata.org/mental-health" target="_blank"> mental health</a>, and <a href="https://ourworldindata.org/#all-topics" target="_blank">many more</a>. Our World in Data readers concerned about these problems should be able to rely on our compilation of research, our database, and our visualizations to understand them clearly and learn how it is possible to make progress against them.
<h2 dir="ltr">About our team and work environment</h2>
<ul>
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You will work in our Data and Research Team (~8 people) and report to the Head of Data &amp; Research.
</li>
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You will have flexibility around your hours within a full-time load. Ideally, candidates will partly overlap with core UK working hours to facilitate effective collaboration with our team but allowances can be made for exceptional candidates.
</li>
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We have a very positive team culture. To meet your colleagues across all teams, we organize weekly activities to get you in contact with everyone across our remote team — from meeting for virtual “tea” to discussing big ideas.
</li>
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Our full team meets in person at least once a year. For those based in the UK, there is a concentrated group of team members in the Oxford/London area who regularly meet in person.
</li>
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The overall team at Our World In Data is welcoming, supportive, and high-trust. We’re bound together by our common mission and the enjoyment we get from doing excellent work with talented colleagues.
</li>
</ul>
<h2 dir="ltr">Diversity and inclusion</h2>
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Remote work has allowed us to build a team of fascinating colleagues from a wide range of countries and backgrounds, a diversity we’d like to nurture and encourage.
</li>
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We are committed to fostering an inclusive environment and strongly encourage candidates from all backgrounds to apply.
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Our flexible hours make balancing care and other responsibilities easier to manage than many traditional roles.
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If you are excited about this role but are unsure about whether you’re the right fit, we encourage you to apply. We’re also happy to answer any questions by email at <a href="mailto:jobs@ourworldindata.org" target="_blank">jobs@ourworldindata.org</a>.
</li>
</ul>

Writer

<h3>Job Description</h3>
Data ScientistThis is an exciting opportunity to join a growing global company in the cloud-based software industry. This is a hybrid position. We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain. Responsibilities:
<ul>
<li>Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.</li>
<li>Utilize data analysis to design and implement fraud strategies</li>
<li>Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.</li>
<li>Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.</li>
<li>Development of dashboard and visualizations to track KPI of fraud strategies implemented</li>
</ul>
Requirements:
<ul>
<li>2+ years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse</li>
<li>Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience</li>
<li>Experience using statistics and data science to solve complex business problems</li>
<li>Proficiency in SQL, Python, Excel including key data science libraries</li>
<li>Proficiency in data visualization including Tableau</li>
<li>Experience working with large datasets</li>
<li>Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.</li>
<li>Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes</li>
<li>Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.</li>
<li>Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies</li>
</ul>
Pay Rate:
<ul>
<li>$50-$70/hour</li>
</ul>

Data Scientist

<h3>Job Description</h3>
Salary: 
WWCM has an opening for an experienced Data Scientist. The Data Scientist will be responsible for supporting cyberpsychology initiatives involving the impacts of human factors, cognitive vulnerabilities and the ability to adequately protect critical systems and sensitive information from cyber-attacks. Data serves to facilitate and support improved future-state software design, development and implementation methods. 
Responsibilities: 
<ul>
<li>Studies data to answer research questions and solve problems</li>
<li>Collects, cleans, manages and analyzes data</li>
<li>Designs algorithms, uses programming languages and creates data visualizations</li>
<li>Collaborate with colleagues in other departments to improve business outcomes</li>
<li>Identify and mine reliable internal and external data sources</li>
<li>Design custom tools to optimize data mining, cleaning, validation and analysis tasks</li>
<li>Develop and apply custom data models and algorithms to data sets</li>
<li>Develop tools and testing models to ensure data accuracy</li>
<li>Create and present reports that detail your findings, recommendations and solutions</li>
</ul>
Qualifications:
<ul>
<li>U.S. Citizenship and must have the ability to obtain a TOP SECRET clearance</li>
<li>Requires skills in programming, data mining, big data analytics</li>
<li>Minimum of 5 years of experience working in the scientific industry</li>
<li>Bachelor’s degree in data science, computer science, math, statistics, physics, biology, chemistry or electrical engineering</li>
<li>Minimum of 5 years of experience using C, C++, Java, JavaScript, Python, R, SQL</li>
<li>5 years using platforms such as MapReduce, Hadoop, Hive, MySQL, R, SAS</li>
<li>Experience with business intelligence and data analytics tools such as Tableau</li>
<li>Proficient technical writing and public speaking skills</li>
<li>Familiarity with machine learning techniques and when they should be used</li>
<li>Familiarity with statistical and data mining techniques and when it is appropriate to use them</li>
<li>Strong problem-solving skills</li>
</ul>
Desired:
<ul>
<li>Masters or PhD degree in data science, computer science, math, statistics, physics, biology, chemistry or electrical engineering</li>
<li>Strong math, modeling, statistics, analytical and problem-solving skill sets</li>
<li>Knowledge of SAFe Agile and Software Development frameworks</li>
</ul>

<h3>Job Description</h3>
RESEARCH ASSISTANT I
Job description 
Research assistant position in biomarker and drug discovery for neurological illnesses:
The Roskamp Institute, Inc., is devoted to understanding the causes of, and finding the cures for, neuropsychiatric and neurodegenerative disorders. 
The Institute utilizes a broad range of scientific approaches to investigate Alzheimer’s disease, Traumatic Brain Injury, Gulf War Illness, Post Traumatic Stress Disorder and Red Tide. 
Scientists at The Roskamp Institute, Inc., are funded by the National Institutes of Health, the Department of Defense, the Veteran’s Administration, and public-private partnerships. 
The Roskamp Institute Inc’s multi-national scientist team has expertise in a wide range of disciplines including Immunology, Molecular and Cellular Biology, Biochemistry, Molecular Genetics, Proteomics, Lipidomics, Metabolomics, Genomics, Mass Spectrometry, Pathology and Chemistry. 
The Institute offers a variety of opportunities for a career in science which includes basic and applied research as well as translational research in molecular biology and systems biology.
Where we are: The Roskamp Institute, Inc., is located in sunny Sarasota which is a tropical beach paradise located on the Gulf of Mexico in Florida. 
Sarasota was chosen as America's Best Small City by CNN/Money Magazine due to the combination of a small-town atmosphere with big city amenities such as shopping/outlet malls, 5-star restaurants, opera and theaters. 
Sarasota averages 361 days of sunshine a year, and boasts 35 miles of beachfront, including Siesta Key Beach, which has some of the whitest and finest sand in the world and has been ranked at the number one beach in the United States.
Main Activities/Responsibilities: 
Under supervision, the candidate will conduct experiments related to ongoing studies of molecular and cellular neurobiology, in developmental or aged related brain disorders. 
Candidates will ideally have experience in: 
- Molecular biology, 
- Cell biology and immunology, 
- Performing cell culture studies, 
- Enzyme assays and antibody based protein analysis.
Examples of Job Requirements: 
- Performing basic molecular cell biology experiments (i.e. western blot analysis, ELISA, cell culture, immunohistochemistry and flow-cytometry studies): 
- Characterizing laboratory models of different disorders. 
- Follows protocols through a series of related detailed steps or processes. 
- Recording and analyzing data. 
- Maintains a daily updated laboratory notebook. 
- Maintains clean laboratory equipment and/or work area to ensure a safe and efficient work environment. 
- Performs literature research. 
- Presenting results to senior/other research staff. 
- Orders laboratory supplies. 
- Prepares stock solutions and buffers. 
- Contributes data/findings for use in reports, documents or oral/written presentation. 
- Prepare materials for submission to granting agencies. 
- Interacts in a collaborative manner with other team members to accomplish organizational goals. 
Qualifications: - B.S. or B.A. degree in biological sciences or related disciplines is preferred.
- Excellent verbal and written communication skills.
- Excellent inter-personal skills.
- Ability to interact with individuals with varying levels of experience and background while working closely with supervisors, colleagues, and other research assistants. 
Willingness to learn new techniques, multitasking skills and time flexibility to meet grant/report deadlines. 
Physical requirements - Positions in the class typically require climbing, balancing, stooping, kneeling, crouching, crawling, reaching, standing, walking, pushing, pulling, lifting, grasping, feeling, talking, hearing, seeing and repetitive motions. 
Medium work: exerting up to 50 pounds of force occasionally, and/or up to 20 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects·
Incumbents may be subjected to moving mechanical parts, electrical currents, fumes, odors, dusts, gases, poor ventilation, chemicals, and oil. 
Job Type: Full-time Schedule: 8-hour shift Monday to Friday Ability to commute/relocate: Sarasota, FL 34243: Reliably commute or planning to relocate before starting work.
(Preferred) Experience: Research: 1 year. 
(Preferred) Work Location: In person.

RESEARCH ASSISTANT I

<h3>Job Description</h3>
Job Title: Fraud Strategy Data Scientist Location: San Jose, CAJOB DESCRIPTION:We are looking for a talented, enthusiastic, and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. We'd love to chat if you have:
<ul>
<li>Minimum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.</li>
<li>Bachelor's degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience</li>
<li>Experience using statistics and data science to solve complex business problems.</li>
<li>Proficiency in SQL, Python, Excel including key data science libraries.</li>
<li>Proficiency in data visualization including Tableau.</li>
<li>Experience working with large datasets.</li>
<li>Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.</li>
<li>Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes.</li>
<li>Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.</li>
<li>Desirable to have experience or aptitude solving problems related to risk using data science and analytics.</li>
<li>Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies</li>
</ul>
Key Job Functions:
<ul>
<li>Design rules to detect/mitigate fraud.</li>
<li>Develop python scripts and models that support strategies.</li>
<li>Investigate novel/large cases.</li>
<li>Identify root cause.</li>
<li>Set strategy for different risk types.</li>
<li>Work with product/engineering to improve control capabilities.</li>
<li>Develop and present strategies and guide execution.</li>
</ul>
Expected Outcome in 6-12 months:
<ul>
<li>Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.</li>
<li>Utilize data analysis to design and implement fraud strategies.</li>
<li>Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.</li>
<li>Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.</li>
<li>Development of dashboard and visualizations to track KPI of fraud strategies implemented.</li>
</ul>
Preferred Skills:
<ul>
<li>Data analytics and models</li>
<li>Rule development</li>
<li>Dashboard Creation</li>
<li>Project Management</li>
<li>Strong Communication</li>
</ul>

Fraud Strategy Data Scientist - San Jose, CA

<h3>Job Description</h3>
Job Title: Credit Strategy Data Scientist Location: San Jose, CAJOB DESCRIPTION:We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain.Key Job Functions:
<ul>
<li>Design rules to detect/mitigate loss.</li>
<li>Investigate novel/large cases.</li>
<li>Identify root cause.</li>
<li>Set strategy for different risk types.</li>
<li>Work with product/engineering to improvement control capabilities.</li>
<li>Develop and present strategies and guide execution.</li>
<li>Drive results that maximize eligible customers while controlling losses.</li>
<li>Professional Experience/Background to be successful in this role:</li>
<li>Minimum 2 years of experience in risk analytics, data analysis, or data science within</li>
<li>the Fintech or online payments industry.</li>
<li>Bachelor's degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.</li>
<li>Experience using statistics and data science to solve complex business problems.</li>
<li>Proficiency in SQL, Python, Excel including key data science libraries.</li>
<li>Experience working with large datasets.</li>
<li>Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.</li>
<li>Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes.</li>
<li>Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.</li>
<li>Desirable to have experience or aptitude solving problems related to risk using data science and analytics.</li>
</ul>
Bonus: Experience with AWS, payment rule systems, and knowledge of credit products.Expected Outcome in 6-12 months:
<ul>
<li>Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers.</li>
<li>Utilize data analysis to design and implement credit strategie. </li>
<li>Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns.</li>
<li>Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers.</li>
<li>Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.</li>
<li>Development of dashboard and visualizations to track KPI of credit strategies implemented.</li>
</ul>
Preferred Skills:
<ul>
<li>Data analytics</li>
<li>Rule development</li>
<li>Dashboard Creation</li>
<li>Project Management</li>
<li>Strong Communication</li>
</ul>

Credit Strategy Data Scientist - San Jose, CA

<h3>Job Description</h3>
Your growth opportunity
As a Survey Technician you will work closely with experienced survey professionals to gain practical on-the-job experience and understanding of KLJ standards.
<ul>
<li> Assists in gathering field data and general surveying under direction of a Survey Crew Chief </li>
<li>Assists with boundary corner recovery and setting corners, field measurements for topographic, boundary and construction surveys, writing stakes and setting hubs, and clears brush for surveys </li>
<li>Maintain and prepare equipment for the day Perform daily jobsite safety inspections </li>
<li>Ensure compliance with KLJ quality standards </li>
<li>Utilize effective written and oral communication </li>
</ul>
What you’re responsible for
<ul>
<li>Basic understanding of survey methodology and equipment </li>
<li>Follows instructions provided regarding scope of services, budgets and timelines </li>
<li>Perform daily jobsite safety inspections </li>
<li>Develop skills necessary for meeting daily survey crew requirements </li>
</ul>
What you’ll need
<ul>
<li>High School diploma or equivalent </li>
<li>Must have a valid driver’s license and be able to operate motorized vehicles </li>
</ul>
Preferences: 
<ul>
<li>Enrolled in a Civil technology degree </li>
<li>Previous survey field experience </li>
<li>Surveying and construction staking/layout experience </li>
</ul>
Physical Requirements
The physical demands described represent those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities. The employee is regularly required to: 
<ul>
<li>Sit, stand, walk, stoop, kneel, crouch, and crawl </li>
<li>Use hands to finger, handle, or feel objects, tools, or controls; and reach with hands and arms </li>
<li>Talk or hear and communicate clearly </li>
</ul>
The employee must: 
<ul>
<li>Be able to walk on uneven terrain up to ten miles per day </li>
<li>Frequently lift and move up to 50 pounds and occasionally lift and move up to 75 pounds </li>
</ul>
Specific vision abilities required by this job include close vision, color vision, depth perception, and the ability to adjust focus. 
What Else You Need to Know
This job description is not meant to be all-inclusive or restrictive and other duties may be assigned. It is a description of the job as presently defined, and is subject at any time to revision. This document is intended to describe the general nature and level of work being performed by individuals assigned to this classification. This is not to be construed as an exhaustive list of all responsibilities, duties, and skills required. Individuals may be required to perform duties outside of their normal responsibilities, as needed. 
At KLJ, we love engineering, moving forward, and bringing ideas to life. Our work is more than a project, it's a long-term solution for the communities in which we live and work. We are committed to providing an exceptional experience to our customers – every project, every time. We reimagine what projects can be through innovative planning, design, and support of infrastructure projects of all shapes and sizes. Join our team and reimagine what your career can be. We have a vested interest in the personal, financial, and professional goals of our employees. We offer a competitive full suite benefit package including health, dental, vision, and life insurance, performance bonus program, 401k, and employee stock ownership program. The options available for the 2021 plan year are described at <a href="http://www.kljeng.com/careers/benefits" target="_blank">www.kljeng.com/careers/benefits</a>.
Applicants must be authorized to work in the US, without employer-sponsorship. KLJ does not sponsor individuals for employment-based visas and does not participate in any OPT training program. 
KLJ will not be partnering with third-party recruiters on this position. Please review our third-party recruiting policy at <a href="http://www.kljeng.com/careers" target="_blank">www.kljeng.com/careers</a>.
Position will be posted until filled. 
Who we are
 Here at KLJ, we are Safe, Inclusive, Learners, Performers and Owners. We care that you get home safely. Every person, every idea, and every voice matters. We encourage personal and professional growth. We celebrate performance. As a 100% employee-owned firm, your decisions and efforts will help shape OUR great company. 
Why work at KLJ
KLJ Engineering might be just the company you have been looking for. We are that perfect size – not so big that you become a number, not so small that our resources are limited. Here, you can be you, in all your engineering, surveying, planning and scientist glory. Just as you are. We embrace how much you love engineering, because we love it too. We love it when a road curves just right, when we see a familiar water tower on our drive home, or when we consider the fiber in the ground connects us to our friends and family. If you are looking to join a great firm, with amazing technical talent, we know just the place, here at KLJ.

Survey Technician

<h3>Job Description</h3>
Who we are
 Here at KLJ, we are Safe, Inclusive, Learners, Performers and Owners. We care that you get home safely. Every person, every idea, and every voice matters. We encourage personal and professional growth. We celebrate performance. As a 100% employee-owned firm, your decisions and efforts will help shape OUR great company. 
Why work at KLJ
KLJ Engineering might be just the company you have been looking for. We are that perfect size – not so big that you become a number, not so small that our resources are limited. Here, you can be you, in all your engineering, surveying, planning and scientist glory. Just as you are. We embrace how much you love engineering, because we love it too. We love it when a road curves just right, when we see a familiar water tower on our drive home, or when we consider the fiber in the ground connects us to our friends and family. If you are looking to join a great firm, with amazing technical talent, we know just the place, here at KLJ.
 Your growth opportunity
As a Survey Technician you will work closely with experienced survey professionals to gain practical on-the-job experience and understanding of KLJ standards.
<ul>
<li> Assists in gathering field data and general surveying under direction of a Survey Crew Chief </li>
<li>Assists with boundary corner recovery and setting corners, field measurements for topographic, boundary and construction surveys, writing stakes and setting hubs, and clears brush for surveys </li>
<li>Maintain and prepare equipment for the day Perform daily jobsite safety inspections </li>
<li>Ensure compliance with KLJ quality standards </li>
<li>Utilize effective written and oral communication </li>
</ul>
What you’re responsible for
<ul>
<li>Basic understanding of survey methodology and equipment </li>
<li>Follows instructions provided regarding scope of services, budgets and timelines </li>
<li>Perform daily jobsite safety inspections </li>
<li>Develop skills necessary for meeting daily survey crew requirements </li>
</ul>
What you’ll need
<ul>
<li>High School diploma or equivalent </li>
<li>Must have a valid driver’s license and be able to operate motorized vehicles </li>
</ul>
Preferences: 
<ul>
<li>Enrolled in a Civil technology degree </li>
<li>Previous survey field experience </li>
<li>Surveying and construction staking/layout experience </li>
</ul>
Physical Requirements
The physical demands described represent those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities. The employee is regularly required to: 
<ul>
<li>Sit, stand, walk, stoop, kneel, crouch, and crawl </li>
<li>Use hands to finger, handle, or feel objects, tools, or controls; and reach with hands and arms </li>
<li>Talk or hear and communicate clearly </li>
</ul>
The employee must: 
<ul>
<li>Be able to walk on uneven terrain up to ten miles per day </li>
<li>Frequently lift and move up to 50 pounds and occasionally lift and move up to 75 pounds </li>
</ul>
Specific vision abilities required by this job include close vision, color vision, depth perception, and the ability to adjust focus. 
What Else You Need to Know
This job description is not meant to be all-inclusive or restrictive and other duties may be assigned. It is a description of the job as presently defined, and is subject at any time to revision. This document is intended to describe the general nature and level of work being performed by individuals assigned to this classification. This is not to be construed as an exhaustive list of all responsibilities, duties, and skills required. Individuals may be required to perform duties outside of their normal responsibilities, as needed. 
At KLJ, we love engineering, moving forward, and bringing ideas to life. Our work is more than a project, it's a long-term solution for the communities in which we live and work. We are committed to providing an exceptional experience to our customers – every project, every time. We reimagine what projects can be through innovative planning, design, and support of infrastructure projects of all shapes and sizes. Join our team and reimagine what your career can be. We have a vested interest in the personal, financial, and professional goals of our employees. We offer a competitive full suite benefit package including health, dental, vision, and life insurance, performance bonus program, 401k, and employee stock ownership program. The options available for the 2024 plan year are described at <a href="http://www.kljeng.com/careers/benefits" target="_blank">www.kljeng.com/careers/benefits</a>.
Applicants must be authorized to work in the US, without employer-sponsorship. KLJ does not sponsor individuals for employment-based visas and does not participate in any OPT training program. 
KLJ will not be partnering with third-party recruiters on this position. Please review our third-party recruiting policy at <a href="http://www.kljeng.com/careers" target="_blank">www.kljeng.com/careers</a>.
Position will be posted until filled.

<h3>Job Description</h3>
Are you a Senior Data Scientist who is ready for a new challenge that will launch your career to the next level?
<ul>
<li>Tired of being treated like a company drone?</li>
<li>Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?</li>
<li>Our engineers were certainly tired of the same. </li>
</ul>
At GliaCell our slogan is “We make It happen”.
<ul>
<li>We will immerse you in the latest technologies.</li>
<li>We will develop and support your own personalized training program to continue your individual growth. </li>
<li>We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers. </li>
</ul>
Culture isn’t something you need to talk about…if it just exists. 
If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you.
We Make It Happen!
GliaCell Technologies focuses on Software &amp; System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. 
GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.
We Offer:
<ul>
<li>Long term job security</li>
<li>Competitive salaries &amp; bonus opportunities</li>
<li>Challenging work you are passionate about</li>
<li>Ability to work with some amazingly talented people</li>
</ul>
Job Description:
GliaCell is seeking a Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.
Key Requirements:
To be considered for this position you must have the following:
<ul>
<li>Possess an active or rein-statable TS/SCI with Polygraph security clearance</li>
<li>U.S. Citizenship.</li>
<li>Possess software development skills</li>
<li>Work well independently as well as on a team. </li>
<li>Strong communication skills. </li>
</ul>
Key Skills:
<ul>
<li>Experience with adversary defeat, mission management, metrics, and data visualization</li>
<li>Experience compiling various data sources via computer scripting, statistical analysis, data modeling, etc.</li>
<li>Need someone who understands very large networks, telcos, and can use DS skills to make sense of large data sets</li>
</ul>
Location: Annapolis Junction, MD area
Salary: Based on Education, Years of Experience, Skill, and Abilities 
Check Out Our Benefits:
<ul>
<li>Paid Time Off</li>
<li>Medical, Dental &amp; Vision Benefits</li>
<li>Life &amp; Disability Insurance</li>
<li>Tuition, Training &amp; Certification Reimbursement</li>
<li>401K Contribution</li>
<li>Employee Referral Bonus Program</li>
<li>Equipment Reimbursement</li>
<li>Team Engagement &amp; Outings</li>
<li>Swag</li>
</ul>
…And more!
Learn more about GliaCell Technologies: <a href="https://gliacelltechnologies.applytojob.com/apply/" target="_blank">https://gliacelltechnologies.applytojob.com/apply/</a>
To apply for this position, respond to this job posting and attach an updated resume for us to review. 
GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Senior Data Scientist

11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep LearningManager, Data Scientist, Fraud
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. We prevent fraud at many steps of a customer journey, from the application to spending and payments, using real-time models. We care very deeply about doing things the right way, automating, and innovating to improve the customer experience and prevent fraud.
In this role, you will:
Utilize Deep Learning and Sequence Modelling techniques to build Fraud models
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Pytorch, Tensorflow and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
At least 2 years’ experience in open source programming languages for large scale data analysis
At least 2 years’ experience with machine learning
At least 2 years’ experience with relational databases
Preferred Qualifications:
At least 1 year of experience working with AWS
At least 2 years’ experience building advanced Deep Learning architectures (for example: RNN’s, CNN’s, Transformers)
At least 2 years’ experience with Pytorch, Tensorflow or other Deep Learning frameworks
At least 4 years’ experience in Python, Scala, or R for large scale data analysis
At least 4 years’ experience with machine learning
At least 4 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data ScienceCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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