Top Data & Analytics Jobs

Seeking a Data Scientist with expertise in data exploration, collection, categorization, analysis, and presentation. Responsible for tracking impact of legislative bills, analyzing data, and supporting strategic initiatives for criminal justice reform.

The Senior Data Scientist will develop AI solutions and machine learning models, focusing on MLOps, automation, and NLP technologies. Responsibilities include data analysis, collaboration with stakeholders, and maintaining technical documentation.

As a Data Scientist, you will work with data to deliver insights for product design and strategy, manage your own project from gathering requirements to presenting insights and deploying algorithms to the Databricks platform.

As a Sr. Data Scientist II, you will design, develop and optimize AI/ML models and collaborate with cross-functional teams. Responsibilities include managing AI/ML components throughout their lifecycle, utilizing cloud resources for performance optimization, and applying analytical methodologies for data challenges. Stay updated on AI advancements and support the integration of solutions into products while maintaining documentation.

The Data Scientist will develop software code and documentation, design and implement projects, define specifications, troubleshoot software problems, and compile data for reports. The role involves interfacing with both internal and external customers to analyze requirements and address software issues.

As the Founding Data Lead, you will build and implement AI and machine learning models for decision making, develop data architectures and pipelines, and optimize data quality and performance. Your role includes hands-on model development and long-term leadership as the company scales.

The Data Scientist 3 at PayPal will tackle complex business challenges, maintain stakeholder relationships, and leverage data for actionable insights. This role focuses on driving growth and improving sales outcomes through analytics and modeling, primarily for the Inside Sales and Partner Sales Analytics team.

The Data Scientist Principle will work on building advanced AI platforms to enhance developer productivity by leveraging machine learning and deep learning techniques. Responsibilities include optimizing AI models, improving code quality, automating development workflows, and designing user-friendly interfaces to support developers.

The Senior Data Scientist will lead data science initiatives, create data pipelines, analyze runner behavior data, develop analytical models, and collaborate across teams to inform product development. This role involves translating complex data into insights, managing projects, and ensuring data quality and accessibility for the Run Research team.

The Senior Data Scientist will develop innovative auto pricing models and process telematics data for feature engineering. Responsibilities include mentoring junior scientists, collaborating with cross-functional teams, and presenting data-driven strategies to leadership. The role requires leading end-to-end data science projects and optimizing cloud-based environments.

The Senior Data Scientist will provide expertise in machine learning and data science, work on projects including NSF protocols, and support research while acting as the primary liaison for the technical team.

Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.

As a Data Scientist III at Meijer, you will develop and integrate machine learning and AI solutions that enhance customer loyalty and operational performance. You will collaborate with various departments to build data science pipelines, identify strategic solutions, and define key performance indicators to assess product impact.

Seeking an experienced Senior Data Scientist to lead client-facing project delivery, develop advanced machine learning models, and drive data-driven decision making. Responsibilities include identifying AI-ready use cases, designing and implementing ML models, collaborating with teams, leading projects, and educating stakeholders. Qualifications include a Bachelor's or Master's degree in a related field, 5 years of data science experience, proficiency in Python and relevant libraries, and experience with cloud platforms and ML algorithms.

The Staff Data Scientist will apply data science and machine learning to enhance consumer banking experiences and optimize marketing strategies. Responsibilities include algorithm implementation, dataset organization, collaboration with business partners, and leading initiatives in applied data science to drive business insights.

The Senior Data Scientist will leverage expertise in Data Science and AI to design and build advanced analytics engines. Responsibilities include developing analytical models, collaborating with cross-functional teams, and ensuring business value through effective communication of results.

As a Senior Data Scientist, you will work with data scientists and analysts to generate insights from spatial-temporal data, collaborate with product managers to understand customer needs, and create data-driven solutions. You will drive process improvements, own projects, and present insights compellingly to stakeholders.