Top Data Science Jobs

As a Data Scientist Level 3, you will apply data science expertise to national security challenges, develop analytical tools, and communicate insights effectively to diverse audiences.

As a Data Scientist, Level 3, you'll leverage Python to automate workflows, perform data manipulation, and create visualizations, applying advanced analytics to complex datasets and communicating insights to varied audiences.

The Data Scientist will analyze complex data sets, build models for strategic recommendations, and collaborate with business teams to enhance website personalization and product recommendations.

The Staff Data Scientist will build and maintain predictive models for product and business intelligence, drive data science projects, and ensure data quality while communicating findings clearly.

The Data Scientist role involves developing analytical solutions for enterprise decision-making, focusing on pricing, customer behavior, and commercial strategy, using machine learning and AI techniques.

The Data Scientist will build and scale biological knowledge graphs, harmonize biological datasets, define schemas, and create user interaction tools while collaborating with scientific teams.

Lead end-to-end data science projects to enhance Parafin's underwriting engine by developing predictive models, optimizing pricing, and collaborating with engineering teams.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

Design and analyze A/B tests, perform deep-dive analyses to identify product opportunities, build dashboards and predictive models, partner with product and engineering to implement solutions, and establish analytical best practices across the organization.

As a Senior Data Scientist, you will lead data science initiatives, develop machine learning models, and collaborate with stakeholders to improve Perpay's products and financial health of customers.

The Data Scientist will develop AI-driven simulation models, analyze data, and work closely with engineers and customers to improve engineering decisions and solutions.

Lead the development of a core ontology for security config analysis, applying data science and ML techniques while collaborating with security teams.

The Data Scientist collaborates with stakeholders to utilize data for decision-making, designs machine learning models, and analyzes trends for insights.

As a Data Scientist, you will assist clients in designing, developing, and deploying machine learning solutions using Microsoft Azure, contributing across multiple project phases.

Founding Data Scientist for Procure-to-Pay working cross-functionally to build models, metrics, simple data pipelines, dashboards, and reports. Analyze complex datasets, produce actionable insights through data storytelling, and partner with leadership to turn business problems into data-driven solutions that impact operations and growth.

The role involves analyzing financial fraud data, developing methods for investigation, and presenting findings. Expected to manage projects over time.

The Data Scientist will advance baseball analytics by developing machine learning models, innovating analytical approaches, and extracting actionable insights from complex data.

As a Staff Data Scientist, you will lead the Platform Data team in building a scalable data platform, collaborate on architecture and solutions, mentor team members, and drive improvements in technology and methodologies.

As a Data Scientist, you will lead ML projects, optimize systems, evaluate models, translate business needs into quantitative problems, and mentor junior staff. You'll use NLP, evaluate model performance, and stay updated with ML advancements.

Lead Marketing Data Scientist will design marketing data architecture, own Marketing Mix Modeling, run incrementality and geo-lift experiments, connect impression/click signals to business KPIs, build analytical products and dashboards, and partner across marketing, finance, product, and data engineering to optimize media spend and mentor junior analysts.

Lead marketing measurement by building data pipelines, owning Marketing Mix Modeling, running incrementality and geo-lift experiments, producing scenario analyses and dashboards, and partnering across marketing, product, finance, and data engineering to translate measurement into media investment decisions.

Lead ownership of marketing measurement: design data pipelines, build and productionize MMM and LTV models, run incrementality and geo-lift experiments, produce scenario analyses and dashboards, and influence media investment decisions across marketing and executive stakeholders.

Seeking a Data Scientist to analyze healthcare data, design models, and communicate insights to improve financial outcomes and member care. Requires strong technical expertise and collaboration across functions.

The Data Scientist role involves developing measurement models, writing production-quality code in Python, and collaborating with teams to optimize data pipelines and ML workflows.

As a Data Scientist in the Innovation Team, you'll develop machine learning algorithms on molecular sequencing data to enhance cancer diagnostics and treatment, collaborating with diverse experts on high-impact projects.