Top Data Science Jobs

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.

Partner with Marketing as the embedded data science lead to build marketing measurement, attribution, LTV/ROAS/CAC models, run experiments, analyze the full funnel, create forecasts and dashboards, and influence channel strategy and budget allocation.

As a Senior Data Scientist, you will develop machine learning models, automate data pipelines, and implement AI solutions while collaborating with engineers and stakeholders to meet customer needs.

Lead Data Scientist responsible for developing and implementing AI and ML solutions to support marketing and business engagement. The role involves technical leadership, model development, data analysis, stakeholder collaboration, and ensuring compliance with governance standards.

The Data Scientist Level 3 will analyze large datasets, develop strategies for data extraction, and communicate findings. Required experience includes machine learning and programming.

The Staff Data Scientist will lead data initiatives to enhance AI algorithms, manage data curation, and collaborate across functions to evaluate model performance.

The Data Scientist will analyze data, deploy machine learning models, and design workflows to enhance military and operational needs in mission-critical environments while working closely with clients.

As a Data Scientist, you will analyze data to provide insights, develop algorithms, and solve complex problems using machine learning and scientific methods.

Data Scientist role focused on leveraging IoT, machine learning, and AI to analyze complex datasets for actionable insights across various sectors.

The data scientist will analyze complex datasets using statistical methods, develop algorithms, and provide data-driven insights to support client decision-making.

As a mid-level data scientist, you will analyze data, develop predictive models, and lead projects to provide actionable insights for clients across sectors.

The Data Scientist will develop performance evaluation frameworks for autonomous vehicles, using statistical models and metrics to ensure quality and safety of the Waymo Driver, while collaborating with engineering teams on simulation data and product readiness.

The Bioinformatics Data Scientist will analyze multi-omics data, develop methods, build tools, and communicate findings to support drug development decisions.

Data Scientists develop and maintain AI software and systems, focusing on machine learning algorithms, model deployment, and data analysis for predictive maintenance and failure prediction.

Lead analytic client engagements for financial services customers, develop predictive and prescriptive models, design data extraction and modeling code (R/Python/SQL) on large datasets using Spark/BigQuery, deliver insights to executives, support sales proposals, mentor junior staff, and travel ~10-20%.

The Data Scientist will design and implement data science products for marketing performance measurement, develop predictive models, and collaborate with stakeholders to leverage data-informed strategies.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

As a Data Scientist, you'll manage data science projects involving ML techniques, code development in Python and PySpark, and collaborate across teams. You will mentor juniors and contribute throughout the project lifecycle from analysis to deployment.

As Staff Data Scientist, you will drive advanced analytics to optimize sales performance, build predictive models, and develop insights for decision-making across the GTM organization.

Develop and deploy predictive models and statistical analyses using large healthcare and retail data sources. Build ETL pipelines, feature engineering, and distributed model training; apply ML and NLP techniques to inform solutions for pricing, costs, risk scores, and customer engagement. Support productization and deployment of data science solutions across channels.

Develop and deploy predictive models and statistical analyses using SAS and Python; extract and manipulate large healthcare datasets; design dashboards and reports (SAS, Cognos); integrate reporting services with .NET front ends; support model deployment and analytics across business areas like pharmacy pricing, medical costs, and patient engagement.

Design and implement analytics solutions and predictive models on large healthcare, retail, and PBM datasets. Build ETL and data models, perform data mining, NLP, and machine learning, develop and deploy production code and backend services, create visualizations and reports, evaluate models, and support deployment across channels within Agile/SAFe teams.

Develop and deploy analytics applications and predictive models using large healthcare and retail datasets. Perform data mining, NLP, statistical modeling, and visualization; build production-ready data solutions and backend services; support CI/CD, model comparison, and cross-channel insight deployment to inform pharmacy, medical cost, risk scoring, and customer engagement initiatives.

Develop and implement analytics applications and predictive models using ML, NLP, and statistical methods on large healthcare and retail datasets. Profile and ingest data from multiple sources, perform feature engineering, train and evaluate models, visualize results, and support deployment of insights across channels.

Design and develop data solutions, extract and manipulate large datasets, build and deploy predictive models and ML/NLP algorithms, perform feature engineering and statistical analysis, support model deployment in cloud environments, and collaborate with UI/UX and business teams to deliver data-driven health insights.