Top Data Science Jobs

As a Staff Data Scientist, you'll develop and deploy machine learning models to enhance renter experiences and optimize property partnerships, collaborating across teams to translate data insights into actionable strategies.

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.

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.

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

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.

As a Data Scientist III, you'll build customer identity systems, develop recommendation models, predictive analytics for customer behavior, and collaborate with ML Ops and Data Engineering.

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.

The Data Scientist will design and implement machine learning algorithms for enterprise applications, collaborate with federal customers, and contribute to the C3 AI Suite's features.

As a Data Scientist, you will build predictive models, develop AI solutions, and translate complex problems into production-ready solutions, collaborating with various stakeholders.

The Data Scientist will develop innovative classification algorithms for EEG neurodiagnostics, analyze data trends, collaborate with stakeholders, and mentor junior team members.

This role involves leading data science projects, designing technical solutions, implementing machine learning methodologies, and developing data workflows for cybersecurity applications.

The Data Scientist II will develop machine learning algorithms, architect data solutions, and support cybersecurity initiatives by analyzing complex data sets.

GliaCell seeks a Data Scientist with experience in software development and strong communication skills. Responsibilities include data analysis, modeling, and working with government contracts. Must possess a TS/SCI clearance and programming expertise in Python and R.

As a Mid Data Scientist, you'll leverage data science techniques and tools to analyze data sets, create algorithms, and provide actionable insights for clients in various sectors, including health and national security.

Perform exploratory data analysis, clean and analyze structured and unstructured data, develop predictive models and visualizations, and communicate insights to technical and non-technical stakeholders. Use appropriate tools and frameworks to turn disparate data into actionable recommendations for clients.

Apply data science and ML techniques to large structured and unstructured datasets to support DoD strategic decision-making. Perform statistical analyses, build production-quality visualizations and dashboards, lead projects from scoping to delivery, mentor junior staff, collaborate with stakeholders, and communicate insights to senior leadership using distributed computing and reproducible analytic workflows.