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BIDS Executive Director (0379U) Job 66626 - Berkeley Institute for Data Science (BIDS) About Berkeley 
At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.
The University of California, Berkeley, is one of the world's leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world.
We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our <a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=https://chancellor.berkeley.edu/guiding-values-and-principles" target="_blank">Guiding Values and Principles</a>, our <a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=https://diversity.berkeley.edu/principles-community" target="_blank">Principles of Community</a>, and <a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=https://strategicplan.berkeley.edu/" target="_blank">our Strategic Plan</a><a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=https://strategicplan.berkeley.edu" target="_blank">.</a>
At UC Berkeley, we believe that learning is a fundamental part of working, and our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. To find out more about how you can grow your career at UC Berkeley, visit <a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=https://hr.berkeley.edu/grow" target="_blank">grow.berkeley.edu</a>.
 Departmental Overview 
The Berkeley Institute for Data Science (BIDS - <a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=https://bids.berkeley.edu" target="_blank">https://bids.berkeley.edu</a>) was founded in 2013 to build on Berkeley's strength in data science with a multidisciplinary emphasis. BIDS aims to facilitate and enhance the development and application of cutting-edge data science techniques in the biological, physical, social and engineering sciences. Today, BIDS is part of the new College of Computing, Data Science and Society (CDSS), where it serves as a hub for interdisciplinary research, tool development, and exchange of ideas between methodologies in computing, statistics and AI. BIDS connects with domain experts from across the entire disciplinary spectrum on campus, and hosts collaborations with local and national partners, including Lawrence Berkeley National Lab and NASA in the unique intellectual ecosystem of Berkeley. 
As CDSS further advances UC Berkeley's eminence in Data Science research and education, BIDS is entering a new era. It will serve as a central hub connecting scholars on campus, as well as reaching out to other Berkeley institutions including LBNL, the Simons Laufer Mathematical Sciences Institute, the Space Sciences Laboratory, the International Computer Science Institute, and the SkyDeck Startup Incubator. BIDS' expertise in open source tool development and open science makes it an ideal place to be a home for communities of practice around open knowledge, at a time when both open source software is becoming the norm for research computing, and when open science ideas become part of national science policies across multiple agencies. From this perspective, BIDS will help scholars from different fields to find shared needs, interests and ideas and build new collaborations. 
BIDS also aims to foster conversations regarding the role of Science and Society in the development of new tools and systems for AI. As a discipline-neutral environment, it will provide open space for emerging work ranging from the representation of scientific knowledge in AI models and the use of AI as a scientific instrument, to explorations with social scientists and humanists of questions at the intersection of the human experience, our social context and the role of AI in our lives.
The Executive Director will take a leadership role in managing and developing the Institute's research programs and representing these programs to outside organizations. Under the direction of the BIDS faculty director, the ED will develop the vision and corresponding agenda to achieve the Institute's objectives. The incumbent will oversee all elements of program administration, facilitate collaborations among multiple research groups from across the campus as well as with partner organizations, and provide leadership in identifying outreach services. The Executive Director will work under the direction of the Institute's academic leadership to formulate strategic goals and objectives, direct long-term planning, and develop policies and procedures, and raise funding from external sources. This individual will be considered a subject matter expert on campus and is recognized as an expert externally in the field.
All applicants are strongly encouraged to visit the BIDS website for a detailed description of various initiatives and programs, and to read the BIDS faculty director's vision for the coming years: <a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=https://bit.ly/bids24-director-vision" target="_blank">https://bit.ly/bids24-director-vision</a>.
 Application Review Date 
The First Review Date for this job is: 5/15/24 - Open Until Filled 
 Responsibilities 
30% 
<ul>
<li>Manages major research program components in coordination with BIDS Faculty leadership and oversees execution of additional BIDS programs once funded.</li>
<li>Coordinates varied and competing requirements associated with managing an innovative program in a university environment. Manages the Institute's facilities and budgets, supervises staff, and oversees the administrative, operational, and technical operations of the Institute.</li>
</ul>
25% 
<ul>
<li>Working with the BIDS Executive Committee, develops and executes strategy for financing and program activities in pursuit of the BIDS vision, and ensuring ongoing sustainability. </li>
<li>Seeks funding and opportunities for mission-aligned research programs. Represents the Institute to internal and external audiences. </li>
<li>Works with key partners in the College to develop industrial and academic membership programs as appropriate. </li>
<li>Explores and fosters opportunities for knowledge transfer of research results to government sponsors, industry partners, and international organizations. </li>
<li>Works with faculty leadership to build programs around open source and open science on campus, and establishes partnerships with other suitable stakeholders on campus and beyond (e.g. the Library, LBNL or other UC campuses) on these activities, building common policies and practices as appropriate.</li>
</ul>
15% 
<ul>
<li>Works with the Faculty Director to develop strategic goals, objectives and directions of the Institute, to identify opportunities and recommend Institute resource allocations, and partner institution agreements.</li>
<li>Acts as a point of contact between the Institute sponsors , and Institute researchers and program organizers.</li>
<li>Communicates with partner institutions to coordinate joint programs and activities and implement best practices, as appropriate.</li>
</ul>
10% 
<ul>
<li>Develops ideas and options for faculty review and decision, and develops and implements research programs that reflect faculty interests. </li>
<li>Participates in assessment of program effectiveness, and recommends changes to program content, policies and strategic goals accordingly.</li>
</ul>
10% 
<ul>
<li>Works with Communications/Program Manager to develop public relations and other materials for external audiences.</li>
</ul>
5% 
<ul>
<li>Develops and maintains liaisons with the external advisory board. </li>
<li>Represents the program to governing boards, outside agencies, and the public.</li>
</ul>
5% 
<ul>
<li>Serves on committees representing the Institute and participates in professional conferences, seminars and workshops relating to Professional Development.</li>
</ul>
 Required Qualifications 
<ul>
<li>Management and leadership experience in academic and/or government agencies and/or industry.</li>
<li>Expertise in administrative, operational, budgetary, human resources, and financial principles and practices.</li>
<li>Expert ability to work with dynamic and diverse group of researchers (faculty, staff, students), sponsors, and external collaborators. </li>
<li>Excellent understanding of and appreciation for data science approaches and innovations AND the needs, goals and deadline pressures under which academic scientists across the disciplines get their work done.</li>
<li>Excellent oral and written communication and negotiation skills, including political acumen, social perceptiveness, and an understanding of different cultures and social norms.</li>
<li>Demonstrated expertise with program building within academic institutions. </li>
<li>Demonstrated expertise in building collaborations between academia and/or industry organizations.</li>
<li>Demonstrated experience working with communities in any aspect of open science/open knowledge in research environments.</li>
<li>Expert fundraising and business development experience.</li>
</ul>
 Preferred Qualifications 
<ul>
<li>Advanced degree in related area and / or equivalent experience / training.</li>
<li>Terminal degree in a related field preferred (PhD, JD, MD, etc.).</li>
</ul>
 Salary &amp; Benefits 
For information on the comprehensive benefits package offered by the University, please visit the University of California's <a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=http://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html" target="_blank">Compensation &amp; Benefits</a> website.
Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. 
<ul>
<li>Classification: ACAD PRG MGT OFCR 5 (0379)</li>
<li>Anticipated hiring range: $117,000 - $197,000 </li>
<li>UCB salary range: $117,000 - $226,000</li>
</ul>
The salary offer to the final candidate will take into consideration their experience and salary equity with current UC Berkeley employees working in a similar roles.
 Conviction History Background 
This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.
 Equal Employment Opportunity 
The University of California 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, disability, or protected veteran status. For more information about your rights as an applicant, please see the <a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=https://www.eeoc.gov/poster" target="_blank">U.S. Equal Employment Opportunity Commission</a> poster.
For the complete University of California nondiscrimination and affirmative action policy, please see the University of California <a href="https://apptrkr.com/get_redirect.php?id=5184681&amp;targetURL=http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct" target="_blank">Discrimination, Harassment, and Affirmative Action in the Workplace</a> policy.
To apply, visit <a href="https://apptrkr.com/5184681" target="_blank">https://careerspub.universityofcalifornia.edu/psp/ucb/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&amp;Action=U&amp;FOCUS=Applicant&amp;SiteId=21&amp;JobOpeningId=66626&amp;PostingSeq=1</a>
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BIDS Executive Director (0379U) Job 66626 - Berkeley Institute for Data Science (BIDS)

<h3>Job Description</h3>
Responsibilities: 
<ul>
<li>Create NLP applications for medical data.</li>
<li>Develop databases for NLP entities.</li>
<li>Apply text representation techniques.</li>
<li>Evaluate and train models.</li>
<li>Architect end-to-end Java solutions.</li>
<li>Implement NLP algorithms and tools.</li>
<li>Conduct statistical analysis.</li>
<li>Expand ML frameworks for NLP.</li>
</ul>
Requirements: 
<ul>
<li>Experience in Clinical NLP.</li>
<li>Proficient in Java programming.</li>
<li>In-depth knowledge of healthcare domains.</li>
<li>Familiarity with ontology tools.</li>
<li>Demonstrated success as an NLP Engineer.</li>
<li>Competency in Python and SQL.</li>
<li>Exposure to ML frameworks.</li>
<li>Strong analytical abilities.</li>
</ul>

This is a remote position.

Data Scientist

<h3>Job Description</h3>
Data Scientist (NYC, LA, SF or Seattle) Onsite Hybrid role - 3 days a week
We are seeking a highly motivated and talented Senior Data Scientist to join our team of experts in developing and maintaining recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps. As a member of our team, you will play a pivotal role in shaping the future of our streaming services by applying state-of-the-art machine learning methods to meet strategic product personalization goals.
 Algorithm Development and Maintenance: o Utilize cutting-edge machine learning techniques to develop and enhance algorithms for personalization, recommendation, and predictive systems. o Take ownership of maintaining and optimizing algorithms deployed in production environments. o Serve as the point person for explaining methodologies to both technical and non-technical teams, fostering clear communication. Analysis and Algorithm Optimization: o Conduct in-depth analysis of user interactions within our apps and user profiles to drive improvements in key personalization metrics. o Collaborate with data scientists and engineers to refine algorithms and enhance their performance continually. MVP Development: o Innovate and develop machine learning products that can be used for new production features or by downstream production algorithms. o Work closely with cross-functional teams to prototype and operationalize personalization solutions. Development Best Practices: o Maintain and establish best practices for algorithm development, testing, and deployment, ensuring high-quality code and efficient processes. Collaboration with Product and Business Stakeholders: o Identify and define new personalization opportunities by collaborating with product and business stakeholders. o Collaborate with other data teams to improve data collection, experimentation, and analysis methods.
Required Qualifications: 7+ years of analytical experience 5+ years of experience developing machine learning models and performing data analysis with Python and tensor-based model development frameworks (e.g. PyTorch, Tensorflow) 5+ years writing production-level, scalable code (e.g. Python, Scala) 5+ years of experience developing algorithms for deployment to production systems In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings for recommendation engines In-depth understanding of the latest in natural language processing techniques and contextualized word embedding models Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark Familiarity with data exploration and data visualization tools like Tableau, Looker, etc. Understanding of statistical concepts (e.g., hypothesis testing, regression analysis) Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate Strong written and verbal communication skills Ability to explain how models are used and algorithms behave to both technical and non-technical audiences
Additional Preferred Qualifications: MS or PhD in computer science, data science, statistics, math, or related quantitative field Production experience with developing content recommendation algorithms at scale Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment Experience with graph-based data workflows such as Apache Airflow Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases such as Snowflake Familiarity with automated deployment, AWS infrastructure, Docker or similar containers
Flexible work from home options available.

<h3>Job Description</h3>

Clearance Level Required:
Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph. 
Location:
Northern Virginia
The Mission: 
Square Peg Technologies is looking for data scientists who enjoy leveraging large sets of data to tell stories. In this role, you will apply modern machine and deep learning approaches to import, clean, transform and model data that supports our nation's core intelligence decision-makers. You will be responsible for designing or presenting conclusions gained from analyzing data using statistical tools like Tableau, Python, R and others.
Basic Qualifications
<ul>
<li>Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products</li>
<li>Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries</li>
<li>Research and devise innovative statistical models for data analysis</li>
<li>Communicate findings to all stakeholders</li>
<li>Enable smarter business processes—and implement analytics for meaningful insights</li>
<li>Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables</li>
<li>Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy</li>
<li>Analyze data for trends and patterns, and Interpret data with a clear objective in mind</li>
<li>Implement analytical models into production by collaborating with software developers and machine learning engineers.</li>
</ul>
Preferred Qualifications
<ul>
<li>Bachelor’s degree in statistics, applied mathematics, or related discipline</li>
<li>2+ years experience in data science</li>
<li>Proficiency in data mining, mathematics, and statistical analysis</li>
<li>Advanced pattern recognition and predictive modeling experience</li>
<li>Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)</li>
<li>Master’s degree in stats, applied math, or related discipline</li>
</ul>
Square Peg Technologies Company Information 
Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering, and data management. Our mission is to develop and integrate cutting-edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person’s contribution, celebrate wins together, and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top-notch benefits including a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. 
At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward-leaning and eager to engage with customers, academia, and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA, and other prominent government agencies.

<h3>Job Description</h3>
Duties: We are looking for a highly motivated Principal Software Engineer to help us build cutting edge analysis, visualization and compute pipelines for analyzing sequencer data. The job requires advanced python expertise and data science skills, in addition to solid computer science skills. You will be involved in architecting, developing and optimizing the data analysis algorithms, pipelines, and visualization.Responsibilities Analyze existing software and develop requirements, prototype and execute new architectures, software algorithm, design improvements Collaborate with scientists and other engineering groups to understand their software requirement and propose solutions and lead them to completion Write clean, maintainable, documented code using best engineering practices in the industry (design patterns, TDD, peer review, CI, automated testing etc.). Prepare documentation and participate in design reviews. Guide contractors and vendors for development and ensure quality of deliverables. Provide technical leadership in software development and mentor junior developers. Monitor work to ensure quality, and continuously promote Quality First Time. Provide technical direction and feedback to others.Skills: Highly conversant with numpy, pandas, matplotlib and other similar data analysis and visualization libraries. Deep experience with distributing and cloud computing in scientific domain. Good knowledge of deep learning and experience working with tensorflow. Development Essentials: JIRA, Git, Jenkins, Docker, python package management, Collaborative Traits: Good communication skills, team player, work under tight deadlines, good mentoringEngineering Traits: Attention to detail, problem solving, debugging, optimization and analytical skillsEducation: Minimum QualificationBachelor's degree in Computer Science or Engineering or related technical discipline 8 years of experience in developing scientific applications in Python, C, or C++.

<h3>Job Description</h3>
Position Data Scientist 
Duration Longterm Contract Location Hartford, CT 
 Essential Skills:
<ul>
<li>Strong Python Programming experience</li>
<li>Python, Design for GenAI</li>
<li>Experience with LLM orchestration Lang chain is a must.</li>
<li>Strong experience with AWS cloud.</li>
<li>Experience with building scalable serverless application (real-time / batch) on AWS stack (Lambda + step function)</li>
<li>Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools.</li>
<li>Experience with AWS OpenSearch, DynamoDB, SageMaker, API Gateways, ECS/Docker is a plus.</li>
<li>Experience in customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking.</li>
<li>Experience in embedding models, ANN/KNN, vector stores, database optimization, performance tuning, Retry/Circuit breaker (TPM/RPM).Extensive programming experience with Python.</li>
<li>Basic understanding of Natural Language Processing, and Deep Learning</li>
</ul>

Data Scientist-

<h3>Job Description</h3>
Scope of Position

This role will be responsible for being the SME for leveraging Azure and other applications to help build out various analytical models for key leaders to make better real-time decisions as trends change. This role will start with known projects &amp; priorities and ultimately transition into a role where top AI opportunities to leverage and drive actionable insights are derived from a collaborative effort between various stakeholders.

Ideal candidate: This person should have proven experience in the ability of taking high-level OKRs (Objectives and Key Results), breaking each down into specific actionable deliverables determining effort and timeline to achieve each objective while not sacrificing overall integrity towards each OKR. To be successful in this role, they will need to be intellectually curious, constantly questioning the way things are done constructively while thriving on change that improves results as our department is tasked with Continuous Improvement.

Overview of Intelligence Department: The Intelligence Department is tasked with the KSI of Continuous Improvement by leveraging both data and analytical tools to provide actionable insights to key stakeholders and steering the Analytical Strategy of the company. It also plays a critical support role to various other departments, working very closely with Technology, Finance, FP&amp;A collaborating &amp; coordinating where required. It also works cross-functionally with other departments as required such as Store Operations, Donations &amp; Logistics, Marketing, People &amp; Culture, Online, Wholesale, and Asset Management. This department currently consists of two main teams: Data &amp; Analytics

Responsibilities

Big projects in the 1st 12 months:

<ul>
<li>Build automated forecasts with a high level of accuracy to be used by various departments and other analytical solutions in the business that can be and is adjusted easily as critical variable change.</li>
<li>Design &amp; Develop scenario models to be used in each planning activity where key leaders can manipulate operational variables impacting each forecast allowing for understanding the cause &amp; effect of each decision where these decisions can be recorded and tracked leading to better decisions in the future.</li>
</ul>

Qualifications

<ul>
<li>5+ years of overall experience in an analytical or data role, including 3+ years of experience in data modeling and forecasting across various organizations and/or industries ideally containing a data science certification from a reputable organization.</li>
<li>Demonstrated motivation and a good work ethic under minimal supervision.</li>
<li>Proficient in Statistics and Probability.</li>
<li>Proficiency in programming languages like Python and/or R.</li>
<li>Proficiency with SQL and working with databases.</li>
<li>Experience with machine learning algorithms and deploying models in production.</li>
<li>Experience with large data sets.</li>
<li>Experience creating, refining &amp; managing processes end-to-end.</li>
<li>Effective written and oral communication skills.</li>
<li>High level of business acumen.</li>
<li>Strong analytical, critical thinking, and problem-solving skills.</li>
<li>Proficiency in the English language, verbal and written format.</li>
</ul>

<h3>Job Description</h3>
Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Data Scientist for our client in the Retail domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately.
Duration: 12+ Months Contract
Location: Irving, TX
Role: Data Scientist
Primary Skills: Amazon Web Services (AWS)
Role Description: As a Data Scientist you must have at least 5+ years of experience. You’ll be joining a multidisciplinary team of product managers, marketers, designers and engineers who research and innovate on latest technology to create awesome digital products that millions of people will experience every day.
You will be responsible for prototyping machine learning algorithms and architecting machine learning systems that improve customer experience, enable innovative user experiences, and increase store revenue.
Key Responsibilities:
- Research, prototype, and develop algorithms and solutions to solve problems across retail.
- Work with tabular customer and transaction data to produce insights and analysis.
- Stay up to date with emerging technologies and learn new techniques/libraries/frameworks.
- Build and deploy algorithms and statistical solutions into production ready systems.
- Deliver on time with a high bar on quality of research, innovation, and engineering.
Basic Qualifications:
- Strong knowledge of the fundamentals of statistics and machine learning theories.
- 2+ years of experience developing ML systems in cloud environments (AWS/Azure), preferably Databricks.
- 2+ years of hands-on experience with machine learning tools and libraries (scikit-learn, TensorFlow/Keras, PyTorch, Huggingface, AWS Sagemaker and/or Databricks etc.)
- 2+ years of experience building data engineering pipelines and performing exploratory data analysis on large datasets.
- 1+ years of experience building and deploying software/models to production.
- Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience.
Preferred Qualifications:
- PhD in Statistics, AI, or Machine Learning (or) MS in Statistics, AI, or Machine Learning with 2 years or more of industry experience.
- Experience working on Databricks platform for ML solutioning, deployments and data engineering is a plus.
- Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance.
- Published research or Patents in machine learning, system design or data engineering.
- Impact on the AI community through conference presentations, blog posts or open-source contributions.
Education: Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent
Experience: Minimum 5+ years of experience
Relocation: This position will not cover relocation expenses
Travel: No
Local Preferred: Yes
Note: Must be able to work on a W2 basis (No C2C)
Recruiter Name: Vibha Shukla
Recruiter Phone: 412.684.6308
Equal Employment Opportunity

<h3>Job Description</h3>
Data Scientist
Introduction Censeo Consulting is seeking a Data Scientist to support our client at the General Services Administration (GSA). We are looking for an experienced individual with strong knowledge of SQL, AWS Cloud Services, Mongo DB MQL, and exceptional ability to problem-solve abstract issues based on client needs. In the role you will have opportunities to work with Big Data, supporting the synthesis and understanding of Billions of Dollars and Millions of rows of data for the client. Some key responsibilities will include:
<ul>
<li>Identify, clean, and normalize Transactional Data Reporting (TDR) data, Contractor Payment Reporting Module (CPRM) and other data sets.</li>
<li>Build data models that standardize the structure and relationships of Sales Reporting Portal (SRP) data with other key data sets across the enterprise that can be used by multiple portfolios.</li>
<li>Create business requirements for DX and Contract Acquisition Life-cycle Management (CALM) implementation.</li>
</ul>
Required Qualifications
<ul>
<li>3+ years of experience in a Data Science role and a (BS/MS/PhD) in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Computer Science, or another strong quantitative field is required.</li>
<li>High proficiency with Python in a variety of settings.</li>
<li>High proficiency with PySpark or Scala within a Spark environment to manipulate data and draw insights from large data sets.</li>
<li>Strong problem-solving and communications skills and ability to work with clients to understand their needs and develop unique solutions utilizing data science expertise.</li>
<li>Proficiency in using Amazon Web Services (AWS), Amazon Simple Storage Service (Amazon S3), Amazon EMR (previously called Amazon Elastic MapReduce), and Redshift.</li>
<li>Proficiency in AWS Cloud Services and SQL.</li>
<li>The ability and desire to work independently and structure work based on client requirements.</li>
<li>Experience using GitHub for version control and understanding of modern coding standards and commitment to building sustainable code.</li>
<li>Strong understanding of core statistical concepts: mean, median, mode, regression analysis, sampling theory, hypothesis testing, etc.</li>
<li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li>
<li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.</li>
<li>Collaboration skills to work with clients and interdisciplinary teams to comprehend the customer experience, define relevant qualitative and quantitative measurements, uncover actionable insights, and identify opportunities for gaining and retaining clients.</li>
</ul>
Additional Preferred Experience
<ul>
<li>Ability to produce high quality figures and graphs and ability to interact with Tableau.</li>
<li>Proficiency with Alation and MongoDB MQL.</li>
<li>Knowledge and experience with Large Language Models.</li>
<li>Ability to make sense of and scale outcomes from qualitative and quantitative data through data analytics, coding and process automation.</li>
<li>Scale data-driven business outcomes through user feedback, data analytics, coding and process automation of qualitative and quantitative data.</li>
<li>Work experience in collaborating with developers and communicating with technical team members to implement backlog of product or customer experience improvements.</li>
<li>Experience with garnering customer and employee feedback for large organizations incorporating industry standards while following federal regulations and policies.</li>
<li>Demonstrated outcomes and accomplishments for using data (including unstructured data sets) and processes to lead new transformation efforts for customer experience.</li>
</ul>
Position Responsibilities:
<ul>
<li>Review and analyze transactional data to determine its usability for Contract Awarded Labor Categories (CALC+) and Price Point Plus Portal (4P).</li>
<li>Establish data quality standards and controls for quality assurance.</li>
<li>Mine and analyze data from databases and quantitative analysis to drive optimization and improvement of product development, marketing techniques, and business strategies.</li>
<li>Develop custom data models and enrichment pipelines to apply to data sets.  E.g. employ data algorithms.</li>
<li>Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.</li>
<li>Coordinate with different functional teams to implement models and monitor outcomes.</li>
<li>Develop processes and tools to monitor and analyze model performance and data accuracy.</li>
<li>Assess the effectiveness and accuracy of new data sources and data gathering techniques, e.g. Bureau of Labor Statistics (BLS) data.</li>
<li>Create and contribute to data intelligence, measurement, and key metrics. Maintain data evidence standards with user research and unstructured data sets. Be an active contributor to FAS Data Evidence Governance Board activities.</li>
<li>Use algorithms to drive outcomes removing unconscious bias and protecting data ethically.</li>
</ul>
About The Role and Project  
Data scientist support currently provides MAS data modeling that standardizes the structure and relationships of SRP data with other key data sets across the enterprise that can be used by multiple portfolios. Additional data scientist support is needed for data management and data quality enhancement activities aligned to the FSS19 Phase 3 Modernization project as well as similar activities focused on implementing the FAS Contract Data Strategy (CDS). This work will include:
<ul>
<li>Engaging with Domain Stewards to ensure initial metadata provided for data sources is complete, coordinating with Domain Stewards to periodically update for new requirements and/or new data elements, and support Domain Stewards in updating metadata in Alation data catalog as required.</li>
<li>Providing direct support for FAS data governance and data architecture in integrating data sources into FAS processes, standards and data catalog including assessing the alignment of FSS19 data/reports to systems receiving data/report feeds and to EDA data sources.</li>
<li>Providing recommendations on compulsory metadata requirements and updates to data catalog structure/workflows to maintain FAS data model</li>
<li>Conducting a metadata quality assessment of all FAS data assets in the EDA data catalog.</li>
<li>Communicating with the FAS community on the status of data governance processes/procedures and availability of data within AWS S3 data lake and EDW. Maintain awareness of all data ingestion progress and priorities as well as the status of all data sources</li>
</ul>
The Company
Censeo Consulting Group is a top Washington D.C. based management consulting firm dedicated to helping public sector and non-profit clients build operational excellence, deliver better outcomes, and lower cost. We take a personalized approach to strategic consulting to solve our clients’ most complex problems and build operational excellence that transforms their organizations, allowing them to better deliver on their public and social missions. 
At Censeo, our award-winning culture means you’ll join a tight-knit community of 50 brilliant and passionate colleagues. We are advocates for a better functioning public sector, and we’re also good friends who know the names of each other’s dogs. Our philosophy is horizontal, not hierarchical, and our open-door policy encourages a culture of entrepreneurship at all levels. We share successes, make decisions together, and foster an environment for those with passion and initiative to lead. Our colleagues bring their own unique personalities to work every day and use them to help shape our growing firm in ways that reach far beyond client projects. 
The Fine Print:
<ul>
<li>Expected travel 0-10%; may increase based on business needs</li>
<li>This is an exempt, full-time position</li>
<li>Location: Washington D.C. area with Hybrid/Remote flexibility</li>
</ul>
Censeo offers a competitive compensation and benefits package, including paid vacation and sick leave, flexible and remote work opportunities, and tuition and training reimbursement. More information on our benefits and perks can be found at: <a href="https://www.censeoconsulting.com/about/join-us/" target="_blank">https://www.censeoconsulting.com/about/join-us/</a>.  
Censeo is an equal opportunity employer. We are committed to providing equal opportunity to all applicants and employees in full compliance with all applicable state and federal laws prohibiting discrimination on the basis of race, color, age, gender, religion, national origin, disability, protected veteran status, or any other class protected by applicable state or federal law.
Join Our Award-Winning Culture! Our passion wins awards. But don’t just take it from us… 
<ul>
<li>2023 Vault #9 Best Consulting Firm for Work/Life Balance </li>
<li>2023 Vault #23 Best Consulting Firm for Overall Diversity</li>
<li>2023 Management Consulted #3 Best Boutique Firms in Washington DC</li>
<li>2022 Vault #41 Best Overall Consulting Firm to Work For</li>
<li>2020 Vault #21 Best Boutique Consulting Firm </li>
<li>2019 Ivy Exec #7 Best Boutique Consulting Firm </li>
<li>2018 Consulting Magazine Best Small Firms to Work For  </li>
<li>2017 Vault #12 Best Boutique Consulting Firm </li>
<li>2016 Forbes Best Management Consulting Firms in America </li>
<li>2015 Washington Business Journal’s Philanthropy List </li>
</ul>
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<h3>Job Description</h3>
Job Description
Strong knowledge and technical expertise in standards and technologies to support complex business analysis, data gathering and evaluation, data pipeline and data model design, development, testing and implementation. - Databases: Oracle, MS SQL Server, Azure PostgreSQL, Denodo - SQL: design and develop complex SQL queries, stored procedures, views, or to tune existing ones for optimal performance - Programming: Python, R - Azure Cloud - Azure Databricks - ETL Tools: Azure Data Factory, IBM DataStage etc. - Data presentation: MS Power BI Excellent communication and interpersonal skills
Experience Preferred
Minimum of five (5) years of recent, full-time paid experience as a Data Scientist carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management. At least three (3) of the five (5) years were in a lead position. Three (3) years of experience with Azure Databricks database and analytics platform.
Education Preferred
A bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
Professional Certification such as Certified Analytics Professional (CAP), Databricks Data Engineer, Databricks ML Engineer, Azure Data Scientist Associate, DASCA’s Senior or Principal Data Scientist Certification etc.
Additional Information
Candidates must be California residents only. The position will be 100% telework.

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