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<h3>Job Description</h3>
Job DescriptionData Analysis - AI Training RoleAbout our client
 Our client is a leading force in advancing safer, smarter AI technology. Their work has been featured in Forbes, The New York Times, and other major outlets for pioneering high-quality, human-verified data that powers today’s top AI systems. 
 They have built a global community of expert contributors and have paid more than $500 million to professionals all over the world who help train, test, and improve next-generation AI models. 
Why join this team?
<ul>
<li>Earn up to $50/hr, paid weekly.</li>
<li>Payments via PayPal or AirTM.</li>
<li>No contracts, no 9-to-5 - you control your schedule.</li>
<li>Most experts work 5-10 hours/week, with the option to work up to 40 hours from home.</li>
<li>Join a global community of experts contributing to advanced AI tools.</li>
<li>Free access to the Model Playground to interact with leading LLMs.</li>
</ul>
Requirements
<ul>
<li>Bachelor’s degree or higher in a quantitative, technical, or business discipline (e.g., Statistics, Mathematics, Data Science, Operations Research, Computer Science, Engineering, Economics, Finance, or similar).</li>
<li>2+ years of experience in an analyst, consultant, or research role involving quantitative analysis, modeling, or forecasting.</li>
<li>Demonstrated experience working with datasets end-to-end: sourcing, cleaning, analyzing, and deriving insights.</li>
<li>Proficiency with data analysis tools such as Python, R, SQL, or similar, and familiarity with visualization methods.</li>
<li>Strong problem-solving skills, attention to detail, and ability to clearly explain results to non-technical audiences.</li>
</ul>
What you’ll do
<ul>
<li>Support the training of generative AI models by applying advanced analytical skills.</li>
<li>Find and source open datasets relevant to business and research needs.</li>
<li>Clean, transform, and prepare data for analysis and modeling.</li>
<li>Build statistical or forecasting models to extract meaningful insights.</li>
<li>Communicate findings clearly, emphasizing implications and actionable recommendations.</li>
</ul>
Apply now and join the top 1% of data analyst experts worldwide to shape the future of AI.

Data Analysis

<h3>Job Description</h3>
Job DescriptionCompany Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description 
Visa USA Inc., a Visa Inc. company, needs a Staff Data Scientist (multiple openings) in Washington, DC to:
<ul>
<li>Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting and presenting modeling and analytical results to non-technical audience.</li>
<li>Conducting research using latest and emerging modeling technologies and tools to solve new fraud detection business problems like merchant acceptance fraud detection and/or improve existing production models’ performance for fraud related business context.</li>
<li>Improving the modeling process through MLOps and automation to drive efficiency and effectiveness.</li>
<li>Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production.</li>
<li>Managing model risks in line with Visa Model Risk Management requirements.</li>
<li>Conducting modeling analysis to address internal and external clients’ questions and requests.</li>
<li>Position reports to the Washington, DC office and may allow for partial telecommuting.</li>
</ul>
Qualifications 
Basic Qualifications:
<ul>
<li>Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics or related field and 6 years of experience in the job offered or in a Data Scientist or Data Analyst-related occupation.</li>
<li>Position requires the following:
<ul>
<li>Developing predictive models using Machine learning or Statistical Modeling (e.g. XGBoost).</li>
<li>Scripting in Python, Unix or Linux.</li>
<li>Using SQL for extracting and aggregating data.</li>
<li>Experience with Hadoop or related big data query engine such as PySpark or Scala Spark.</li>
<li>Experience with Model Risk Management.</li>
</ul>
</li>
</ul>
 Additional Information 
Worksite:Washington, DC
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Travel Requirements:&nbsp;This position does not require travel.
Mental/Physical Requirements:&nbsp;This position will be performed in an office setting.&nbsp; The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer.&nbsp; Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.&nbsp; Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,872.00 USD to $232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.&nbsp;

Staff Data Scientist

<h3>Job Description</h3>
Job DescriptionJob Description: Short Description: Client is looking for a senior Power BI/SQL Developers with extensive experience in designing and developing reports using PowerBI and creating complex SQL queries. Complete Description: The Developer will be a member of the DevOps team that will be implementing a new comprehensive child welfare information system (CCWIS). The candidate must have excellent communication skills, both written and verbal. The candidate will work closely with social workers and system developers to identify contributing factors to data quality issues and design processes to eliminate them. The candidate will also be a critical resource for overseeing data conversion from the legacy system to its new system according to the project schedule. Responsibilities: Conduct analysis of data maintained in multiple different sources and identify processes to validate the information. Coordinate the client data management governance structure, perform required analysis task and support client staff in implementing recommendations. Gather and translate business requirements into detailed, production-level technical specifications, creating robust data models, data analysis features and enhancements. Collect requirements for reports from program staff, prototype reports and work with other vendors to deploy reports using the client 365Dynamics platform. Write complex data joins to establish data measures across multiple tables. Modify existing reports and/or develop new reports by analyzing databases, data sources, and structures for the benefit of Users. Perform QA analysis on reports for accuracy and reports meets the intended business needs. Manage Azure Data Services including Synapse/Synapse Links, Azure SQL Pool, Data lake Deployment of reports Minimum Education/Certification Requirements: Bachelors degree in IT or related field or equivalent experience Skills Matrix Bachelors degree in IT or related field or equivalent experience Hands on Report Development and SQL Query Software Development Lifecycle experience 11-15 yrs. MS Office/PowerPoint experience Hands-on skill developing complex reports using PowerBI Azure Data Services Experience Agile Process Environment PL/SQL hands on experience BUSINESS INTELLIGENCE (CLOUD BASE) 
Flexible work from home options available.

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