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60 Key Data Scientist Jobs Hiring Near You

RIT Solutions

Sr. Data Scientist

Manhattan, NY

Key Responsibilities Data Science Execution: * Deliver data science projects aligned with business objectives. * Plan and implement key data science initiatives in a timely manner. * Implement parts ...

Key Cyber Solutions

Data Scientist

Richmond, VA · On-site +1

Company Description Key Cyber Solutions (KCS) is a leading enterprise IT consulting firm that ... As a Data Scientist at Key Cyber Solutions, your primary responsibility will be to analyze and ...

Menlo Ventures

Senior Data Scientist

San Francisco, CA · On-site

$123.20 - $218/hr

Shape the direction of key data science areas for 2020 - usage forecasting, product analytics, user behavior, and funnel analysis. * Work closely with Product Management, Sales, Customer Success and ...

Bart and Associates, Inc

AI Data Scientist

Ashburn, VA · On-site

This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and ...

Bart & Associates

AI Data Scientist

Ashburn, VA · On-site

This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and ...

B&A

AI Data Scientist

Ashburn, VA

This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and ...

HyrUS Inc.

Data Scientist

Saint Louis, MO · On-site

Key responsibilities include: • Addresses business problems by applying advanced analytics ... into data science / artificial intelligence solutions aligned to business goals that deliver ...

Daikin

Data Scientist 1

Waller, TX · On-site

The Data Scientist role links business strategy to enterprise data by transforming structured and ... key data points to enable data-driven decisions .  * Collect and provide quantitative and ...

New

Daikin

Data Scientist 1

Waller, TX · On-site

The Data Scientist role links business strategy to enterprise data by transforming structured and ... key data points to enable data-driven decisions .  * Collect and provide quantitative and ...

New

Daikin

Data Scientist 1

Waller, TX · On-site

The Data Scientist role links business strategy to enterprise data by transforming structured and ... key data points to enable data-driven decisions . * Collect and provide quantitative and ...

New

Partiful

Data Scientist

New York, NY · On-site

$165K - $190K/yr

Make key data decisions across the company * Analyze large and complex datasets to derive ... A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a ...

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Associate Fraud Risk Data Scientist

Employee Timesheet Entry Portal

San Jose, CA • On-site, Remote

$70K - $70K/yr

Contractor

Re-posted 22 days ago

Job description

  • Our client is seeking a talented, enthusiastic, and dedicated professional to join their Fraud Risk Data Science Team within our Risk Data & AI Innovation Organization. The incumbent will drive critical projects focused on fraud detection, risk analysis, and loss mitigation. We seek a strategic-minded data scientist who can make substantial, actionable impacts using AI and analytics to drive fraud risk management excellence.
  • The ideal candidate will have 2-6 years of experience in machine learning, AI, data science, and risk analytics, with a strong background in eCommerce, online payments, user trust, risk, fraud, or product abuse investigations. They will hold a Bachelor's or Master's degree in Data Science, Analytics, Mathematics, Statistics, Data Mining, or a related field, or possess equivalent practical experience.
  • The role demands expertise in statistics and data science methods to solve complex business challenges. Proficiency in SQL, Python, AWS, Excel, and key data science libraries is essential. Candidates must also demonstrate strong skills in data visualization, particularly Tableau, and be comfortable working with large datasets. Experience with LLMs and AI tools for risk use cases is considered a valuable asset.
  • Responsibilities include designing, developing, and implementing machine learning and AI models to detect and mitigate fraud. The Associate will collaborate with stakeholders and cross-functional teams to deploy scalable, real-time fraud solutions. They will monitor model performance, refine AI tools, and support AI transformation initiatives within risk management.
  • The candidate will also be responsible for creating dashboards and visualizations to track key performance indicators, clearly communicating complex analytical insights to technical experts and business leaders alike. Comfort with ambiguity and a results-driven approach to data science projects are key to success.
  • This hybrid role is based in the San Jose area, with remote consideration if local candidates are unavailable. It is a contract position covering multiple leaves over one year, with potential for extension based on business needs and performance. Work hours are Monday to Friday, Pacific Time.
  • Candidates will undergo multiple Zoom interviews, including an SQL assessment in the first round. Strong SQL proficiency and prior experience applying data science to fraud mitigation remain critical selection criteria.

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