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Build AI/ML tools and predictive analytics for U.S. national security at Fort Meade, turning raw intelligence data into decision-ready insights using Python, R, SQL, Power BI, and Tableau.
Design and deploy AI-driven fraud detection and risk models for a fintech company, analyzing transaction data and collaborating with cross-functional teams.
Data scientist in Grab’s OmniCommerce team runs A/B tests, builds dashboards, and analyzes customer and merchant behavior to guide product decisions for deals, reservations, loyalty, and CRM.
Senior Data Scientist at Deloitte’s SFL Scientific team designs and deploys AI/ML models for clients, solving complex problems in areas like healthcare, autonomous systems, and consumer products using Python, PyTorch, and cloud platforms.
Data science intern applies Python and Power BI to automate compliance, risk, and governance testing for a clean-energy company, building dashboards and analytics to support audits and controls.
Senior Data Scientist in Zurich builds predictive models and AI-driven insights for consumer intelligence, blending advanced analytics with business strategy using Python, R, and machine learning.
Build and deploy advanced statistical models and AI-driven analytics to optimize commercial strategies for rare disease therapies, using Python, Snowflake, and healthcare data while ensuring compliance and interpretability.
Job Title AI/ML Data Scientist - Sales Forecasting Job Description Job Responsibilities: Demand Forecasting: Design, build, and deploy scalable demand forecasting models (time-series, ML-based) to predict product…
Leads a team of data scientists to design and execute growth marketing measurement strategies for a global travel company, using advanced analytics and causal inference to optimize cross-channel performance.
Data Scientist at a global materials company enabling advanced electronics, building ML models and analytics to improve manufacturing, quality, and operations using Python/R and cloud tools.
Build and optimize cloud-based data infrastructure for machine learning and analytics at a global financial data provider, using Python, ML frameworks, and AWS.
Builds financial forecasting models and dashboards to guide budgeting, scenario planning, and executive decisions using Python, SQL, and BI tools.
Lead a team of data scientists to deliver AI-driven marketing analytics for CPG, retail, and ecommerce clients, focusing on ROI, pricing, and demand forecasting using Python, SQL, and agentic AI.
Designs predictive models and data pipelines to analyze voter behavior and political trends using Python, R, SQL, and AI tools for a right-of-center research firm.
Reviews and audits machine learning models and risk practices across Capital One, using Python, AWS, and Spark to ensure compliance and drive improvements in financial decision-making.
Designs and builds Python-based financial risk models and libraries for a major exchange group, turning raw market data into risk metrics used in clearing and settlement systems.
Design and deploy AI/ML models and analytics tools to improve HR and corporate systems at a large investment management firm, using Python and cloud platforms.
Senior Data Science Engineer at DraftKings builds and deploys sports models and pricing engines in Python to enhance the Sportsbook platform, using statistical and ML techniques.
Build and validate machine-learning models for financial-crime detection and transaction monitoring at a large European bank’s analytics hub in Bucharest.
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