Top Data Science Jobs

The Principal Data Scientist will design, develop, and deploy machine learning models, innovating methodologies and collaborating across teams to enhance financial decision-making and risk management.

The Senior Data Scientist leads data analysis and model development projects, leveraging machine learning to drive insights and solutions. Responsibilities include executing data strategies, developing predictive models, collaborating with teams, ensuring model validity, and guiding junior members in a dynamic environment.

Analyze large-scale mobile user and app datasets to inform product and ML strategies, collaborate cross-functionally, build dashboards and processes, and present statistical analyses to improve platform performance.

As a Senior Data Scientist, you will extract insights from pharmaceutical data, develop AI solutions, partner with stakeholders, and translate findings into actionable recommendations.

The Senior Data Scientist develops quantitative models for financial crime compliance, performs data analysis, and collaborates across teams to enhance model performance.

The Sr. Data Scientist focuses on price optimization using deep learning and data science to enhance profitability and efficiency, while managing projects and mentoring junior staff.

The Sr. Data Scientist will utilize predictive models and data science techniques to optimize business outcomes, manage client relationships, and provide insights based on large datasets. Responsibilities include leading data science projects, developing models, and creating data visualizations.

The Data Scientist will design and maintain predictive models for customer growth, collaborating with various teams to ensure actionable insights and model performance.

The Senior Data Scientist at LiveRamp will develop and maintain measurement models, translating complex statistical methodologies into scalable production pipelines and collaborating with cross-functional teams to enhance data collaboration for ad tech applications.

Lead design and scaling of yield, pricing, and matching models; analyse large-scale trading and behavioral data; define data science strategy for optimisation and forecasting; partner with commercial, engineering and product teams; mentor senior/mid-level data scientists; communicate technical findings to non-technical stakeholders and ensure robust production deployment.

The Senior Data Scientist will lead data science initiatives at Rundoo, translating business problems into actionable insights, building internal decision systems, and collaborating with various teams to enhance business operations.

As a Senior Data Scientist, you will develop and deploy machine-learning models, collaborating with teams to enhance data systems' performance and quality.

Proactively explore RevenueCat's data to identify product opportunities, translate ambiguous problems into analyses and production-grade predictive/descriptive models, partner with Product and Engineering to ship data-powered features (LTV prediction, experimentation, benchmarking), define statistical approaches, iterate on models in production, and communicate insights to technical and non-technical audiences.

Lead data science work for a CTV/adtech platform: write production Python code, design and analyze experiments, build reporting and analytics tools, translate insights into product, and collaborate with stakeholders to optimize ad campaigns.

Drive data-science for people- and business-facing products: establish experimentation and instrumentation best practices, apply statistical and ML methods to web-scale data, build scalable analysis pipelines, and partner cross-functionally to turn insights into product improvements.

Own analytics projects end-to-end: write production Python code, design and analyze experiments to optimize CTV ad campaigns, build reporting and analytics tools, and translate insights into the Data Science product to support stakeholders and improve campaign performance.

The Senior Data Scientist will integrate data from various sources, analyze web performance, and provide insights for strategic decision-making. Responsibilities include developing automated systems for content coverage, tracking metrics, and designing experiments to assess new initiatives' impact.

The Senior Data Scientist will manage data collection, design study protocols, train juniors, lead report development, and support innovative analytics tools.

The Senior Data Scientist oversees data collection and preparation, designs study protocols, leads report development, trains junior employees, and manages project workstreams while collaborating with team members to optimize business performance.

Seeking a Senior Data Scientist to collaborate with Product and Engineering teams, develop data models and analytics frameworks, and influence product enhancements using SQL and Python.

The Sr. Data Scientist will develop advanced marketing measurement solutions, mentor junior data scientists, and collaborate with various teams to maximize business value and client success.

Lead analytic approaches to extract meaning from large, messy NSA/CSS datasets. Design and implement ML and statistical models, manage/curate data, translate mission needs into technical requirements, and communicate results to non-technical stakeholders.

The Sr Data Scientist, Risk will analyze fraud patterns, utilize machine learning techniques, develop models, and collaborate with teams to mitigate fraud in crypto trading.

As a Lead Data Scientist, you'll develop ML models, mentor junior scientists, and provide insights from telemetry data to support strategic decisions.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.