Top Senior Data Science Jobs

As a Senior Data Scientist, you will shape product development using data, define success metrics, and validate hypotheses through advanced analytical techniques.

Drive causal and machine learning analyses to measure product feature impacts, develop KPIs, and create visualizations while collaborating with cross-functional teams.

The Senior Data Scientist will analyze customer data, design experiments, build models, and support data-driven decision-making across product, marketing, and customer experience teams.

The Data Scientist will optimize global shipping using data science to build predictive models, create dashboards, and enhance operational performance. Requires strong skills in AI and collaboration.

Own end-to-end data science and ML features for logistics: problem framing, modeling, production deployment, monitoring, and cross-functional delivery. Focus areas include theft detection, routing intelligence, anomaly detection, and customer-facing alerting using geospatial and IoT sensor data.

As a Senior Data Scientist, you will lead AI product hypotheses and experimentation, working with cross-functional teams to develop and evaluate AI solutions across various company functions. Responsibilities include designing datasets, building analytical features, and measuring product impacts using AWS tools and industry-best practices.

The Sr. Data Scientist will design and optimize intelligent search solutions using Elasticsearch and GenAI technologies, improving data retrieval and search relevance for enterprise applications.

The Sr. Data Scientist will design and optimize intelligent search solutions using Elasticsearch and GenAI technologies, engaging with customers to implement effective AI-driven search strategies and improve decision-making outcomes.

As a Senior Data Scientist, you will define AI evaluation frameworks, analyze educational data, and collaborate with cross-functional teams to ensure AI tools meet quality standards.

As a Pricing Data Scientist, you'll develop and validate pricing models for alternative assets, collaborate with engineers, and enhance valuation accuracy through data insights.

The Senior Data Scientist will lead advanced quantitative analytics, manage complex data workflows, and translate business needs into analytical strategies while collaborating with client teams to deliver actionable insights.

The Lead Data Scientist will drive advanced analytics and AI initiatives, lead projects, develop and deploy models, and collaborate with stakeholders to enhance product quality and consumer insights at Mattel.

As a Senior Data Scientist at Waymo, you'll develop evaluation frameworks for performance metrics, analyze simulation and driving data, and mentor other data scientists while collaborating with engineering teams to enhance autonomous vehicle technology.

Lead development of data science models, mentor junior scientists, ensure data quality, and collaborate with stakeholders on requirements.

As a Senior Data Scientist, you'll design and implement data architectures, lead advanced analytics, and deliver insights for national security missions through geospatial and multi-INT data analysis.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

The Principal Data Scientist develops predictive models, designs large-scale data pipelines, and collaborates to enhance data-driven decision-making using advanced analytical algorithms.

Lead development, monitoring, and enhancement of credit risk models and loss forecasting. Extract and prepare large datasets, perform EDA, build pipelines and dashboards, automate reporting, and provide actionable insights to stakeholders. Maintain audit-ready documentation and participate in governance, validation, and scenario/stress analyses to manage portfolio risk.

Hands-on senior credit risk data scientist responsible for developing, maintaining, and monitoring credit risk models and loss forecasts. Work includes large-scale data extraction and cleaning in SQL/Python, EDA, vintage and roll-rate analysis, forecasting, automation of reporting and dashboards, documentation for governance and audits, and communicating actionable insights to stakeholders.

The Senior Data Scientist will design and deploy scalable ML solutions, develop NLP systems, and oversee the ML lifecycle while collaborating with cross-functional teams and mentoring others.

As a Senior Data Scientist, you will develop and manage production-grade forecasting systems for financial metrics, collaborating across teams to improve accuracy and stability while mentoring peers.

The Senior Data Scientist will design, develop, and deploy AI/ML capabilities for US Government customers, including machine learning algorithms and generative AI applications. Responsibilities include managing data pipelines, conducting R&D, and supporting pre-sales efforts.

Senior data scientist role requiring 10–15 years and an MS/PhD to build and deploy ML models (NNs, SVM, Random Forest, collaborative filtering), lead NLP/text-mining projects, use R/Python/IBM SPSS, manage model lifecycle, communicate results to management. Logistics/shipping and cognitive computing experience are desirable. Contract role requiring US work authorization.

Senior Data Scientist with 10–15 years (MS/PhD) to design and develop ML/NLP models, manage model lifecycle, implement recommendation and pattern-recognition algorithms, use R/Python/SPSS, communicate results to leadership. Logistics/shipment processing experience and cognitive computing are desirable.

Lead marketing measurement and optimization by building statistical and ML models (propensity, forecasting, LTV), attribution methods, and causal inference analyses. Design experiments, automate ETL and reporting pipelines, create dashboards, and translate insights into strategic recommendations to drive advertiser acquisition, retention, and revenue growth.