Develop scalable internal data products and actionable insights to drive advertiser growth and business strategy. Build tools, dashboards, and statistical frameworks to evaluate business investment and incrementality.
Remote Jobs & Work From Home Opportunities (755)
Search = Data Scientist
Leads and mentors a team of data scientists and analysts to deliver high-quality AI/ML solutions for healthcare applications. Balances team management and strategic resource allocation with active technical development, spending approximately 50% of the time coding.
Drive product and growth decisions by combining product analytics, experimentation, and applied ML modelling to optimize the acquisition funnel and member experience. Collaborate with leadership and cross-functional teams to develop metrics and predictive models that influence company strategy and long-term retention.
Data Scientist / ML Engineer
INNOCV Solutions S.L.U.
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Full Time
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5 Weeks Ago
INNOCV Solutions S.L.U.
Design and maintain scalable data pipelines using PySpark and develop optimized Machine Learning models for predictive analytics. Integrate these models into production environments using MLOps best practices and AWS services.
Senior Data Scientist Manager - Games Product and Platform
Netflix
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Full Time
·
5 Weeks Ago
Netflix
Lead a team of Data Scientists and Analytics Engineers to drive the data strategy, measurement, and experimentation for Netflix Games product and platform experiences. You will collaborate with product managers to track game-adjacent features and provide insights that shape the overall games portfolio strategy.
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Lead the design and deployment of advanced ML, forecasting, and GenAI solutions to optimize financial planning and strategic decision-making. Partner with Finance leadership to translate business questions into technical problems and mentor other data scientists.
Partner with higher education stakeholders to transform business questions into AI/ML solutions, predictive models, and interactive dashboards. Develop and maintain data pipelines and machine learning models to support institutional decision-making and student success.
Test and enhance marketing strategies across various distribution channels to expand the direct marketing portfolio. Design and implement A/B tests and machine learning models to measure and drive incremental profit impact.
Lead the development and deployment of machine learning models to power personalized digital experiences and recommendation systems. Collaborate with cross-functional partners to translate business requirements into technical solutions and mentor junior data scientists.
Develop state-of-the-art AI and machine learning models to support risk strategies and mitigate financial risk. Collaborate with ML Engineers to deploy these models into the decision engine and optimize risk prevention rules.
The Senior Data Scientist will translate data into actionable insights to shape AI-driven product decisions and prioritize initiatives based on ROI. They will collaborate with product managers and ML engineers to define success metrics and measure the real-world impact of AI features.
The role involves analyzing datasets to inform AI-driven product decisions and prioritizing initiatives based on ROI. You will collaborate with ML engineers and product managers to define success metrics and measure the impact of deployed AI features.
Develop analytical and machine learning models to create measurable business value. Collaborate with diverse teams to craft impactful data-driven solutions across the full analytical lifecycle.
Design and execute advanced analytical and machine learning solutions while linking technical decisions to business objectives. Mentor mid and junior engineers to ensure technical excellence and drive high-quality decision-making across cross-functional groups.
Design and build curated data structures, including vector stores, feature stores, and graph databases, to support AI and ML applications. Lead data discovery efforts to identify trends in lending and account-opening data to inform business and AI use cases.
Build and scale predictive models for credit decisioning, risk management, and fraud prevention. Collaborate with cross-functional teams to translate business needs into data-driven solutions and optimize production model performance.
Engineer Zoom's Revenue Intelligence Engine to transform telemetry data into actionable insights for customer growth and retention. This includes building scalable ML systems for lead scoring and churn prediction while collaborating with Product and Data Engineering teams.
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Design and implement technical machine learning solutions and data workflows to support cybersecurity defense. Develop automation for security tools and create high-visibility reporting dashboards for cybersecurity data.
The role involves architecting novel analytic methods and machine learning algorithms to support cybersecurity defense and data-driven insights. Responsibilities include developing data workflows, automating security tool management, and creating high-visibility dashboards for cybersecurity reporting.
Deliver end-to-end data science projects from exploration and modeling to deployment and performance tracking. Collaborate with stakeholders to translate business opportunities into data-driven solutions and support presales activities.
The role involves cleaning and preprocessing client data to iteratively compute features and tune machine learning models. You will collaborate with key stakeholders and cross-functional teams to deliver best-in-class risk prevention solutions.
Design and develop machine learning models for real-time personalization and recommendation systems in an iGaming environment. Deploy and optimize ML pipelines using Airflow to improve user engagement and business performance across multiple clients.
Lead the strategy and technical execution of marketing intelligence to optimize B2B and B2C growth. Define long-term technical roadmaps and build measurement frameworks to quantify the incremental impact of marketing spend.
Own the data science strategy for RC Capital by building underwriting and fraud detection systems from the ground up. Partner with Product and Engineering to integrate risk signals into customer flows and internal decisioning engines.
Senior Data Scientist
Nordic Healthcare Group (NHG)
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Full Time
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6 Weeks Ago
Nordic Healthcare Group (NHG)
The Senior Data Scientist designs and builds advanced analytics engines using machine learning, data mining, and information retrieval techniques. They collaborate with business partners to define technical problems and integrate analytical models into scalable data products.
You will lead large-scale data initiatives and build machine learning models to optimize marketplace efficiency. You will also partner with cross-functional teams to provide actionable insights that drive product strategy and business decision-making.
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You will act as the data owner for finance functions and build production-quality data products, dashboards, and KPIs to drive financial insights. You will also collaborate with engineering teams to ensure financial datasets are reliable, scalable, and enriched for business decision-making.
You will lead the adoption of agentic AI and optimization algorithms to solve complex business problems across the organization. You will partner with engineering and operations teams to design, implement, and evaluate predictive models and production-ready data products.
Lead the design and development of advanced statistical and machine learning models to improve claims outcomes and risk management. Collaborate with cross-functional teams to productionize models and provide technical guidance to data scientists and analysts.
Lead the research and development of machine learning models, specifically focusing on synthetic data generation and LLM integration. Collaborate with product and engineering teams to implement these AI solutions into the Cint Exchange platform.
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