Top Data & Analytics Jobs
Avalere Health is looking for a Research Scientist I to work within their Policy Practice. Responsibilities include designing analytical studies, performing statistical analysis, and contributing to policy impact models. The role requires deep subject matter expertise in health economics and consulting experience to support clients in the healthcare industry.
The AI Solution Manager/Senior AI Solution Manager collaborates with business and IT leaders to identify and scope high-impact AI/ML use cases for Fortune 500 clients. They lead cross-functional teams in developing and configuring AI solutions while working closely with sales to expand accounts. Travel to customer sites may be required.
The Data Science Senior Advisor role involves utilizing data science and advanced analytics to provide insights for business leaders, collaborating on pilots for new solutions, and developing models in areas ranging from general linear models to machine learning. The position requires regular communication with stakeholders and a strong background in analytics within the insurance industry.
The Data Scientist will analyze complex data sets and develop predictive models while leveraging generative AI to provide data-driven insights for business decisions. Responsibilities include collaborating with cross-functional teams, communicating findings, and ensuring data quality and accuracy.
The Senior Software Engineer will work on developing and maintaining shared services for PlayOn's Data Science team, focusing on cloud-native software solutions and collaborating with multifunctional teams to enhance consumer engagement through data-driven features.
The Analyst, Research Strategy & Analysis will support strategic research for drama and unscripted series at Sony Pictures Television. Responsibilities include conducting qualitative and quantitative research, analyzing performance data, tracking series trends, and providing insights to optimize content creation and audience engagement. The role also involves utilizing various data sources and maintaining data quality for performance reporting.
The Principal Data Scientist will lead the implementation of AI solutions, focusing on generative AI to address complex business problems. Responsibilities include mentoring others, developing predictive models, ensuring data quality, and collaborating on product innovations to deliver value to customers.
The Data Science Growth Leader will drive business development and growth initiatives in AI and ML, develop enterprise-level data science solutions, mentor teams, and work closely with clients to translate their needs into actionable insights.
Featured Jobs
The Data Science Senior Manager will lead the Lingo Data Science team, focusing on building next-generation Biowearables. Responsibilities include developing machine learning models, analyzing biological data, discovering trends in large data sets, conducting advanced statistical analyses, and designing signal processing algorithms.
The Data Science Senior Analyst is responsible for partnering with various teams to design, execute, and measure compliance in a financial institution. They conduct quantitative analysis, develop data displays, and drive optimization through data analysis. They also consult with business clients to determine system functional specifications and lead system change processes. Strong analytical and communication skills are required for this role.
The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.
The Manager, Data Science will lead technology and modeling developments for marketing analytics, manage large datasets, automate processes, create data visuals, and contribute to the team's AI infrastructure while collaborating cross-functionally to optimize marketing performance.
The Head of Emerging Technology & Data Science is responsible for driving advanced technology and analytics integration within Hartford Funds. This role involves leading innovation in AI and machine learning, collaborating with stakeholders to identify solutions, and maintaining a catalog of AI solution patterns. The individual will report on progress, serve as a thought leader, and represent the company in the investment community.
The Senior Manager for Data Science will lead and develop machine learning capabilities within the Platform Security team at Blizzard Entertainment. Responsibilities include managing a team of data scientists, developing AI products, collaborating with engineers, and communicating complex models to both technical and non-technical stakeholders. A focus on player interactions and safety within the gaming community is crucial.
The Senior Data Scientist will independently explore and analyze data to identify optimization opportunities in logistics, patient engagement, and population health. Responsibilities include supporting data inquiries and designing A/B experiments. The role aims to enhance healthcare delivery through data-driven insights.
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
The role involves driving the data science and analytics initiatives by partnering with go-to-market leaders to define KPIs, analyze customer behavior, and build a data-driven culture in a rapidly growing AI organization.
The SME Functional Lead for Data Science will design and deliver training programs focused on computational thinking, programming, statistics, and data visualization. They will provide expert training in machine learning and oversee the development of training programs to enhance data science skills across NGA and the Intelligence Community.
As the Senior Principal Data Annotation Team Lead, you will oversee data annotation processes for autonomous vehicle systems, leading internal teams and external vendors, ensuring high-quality standards and operational efficiency. You will implement quality assurance measures, forecast annotation requirements, and optimize collaboration to support data integration into development pipelines.
The Senior Data Consultant provides management consulting support to the USACE Headquarters Hydropower Program, focusing on implementing business processes and policies. Key responsibilities include program management, data analytics, and expertise in electric utility operations and hydropower generation.
The Senior Data Consultant for the Hydropower Program will provide management consulting and technical expertise to support the implementation of business processes and the strategic plan. Responsibilities include contract execution, managing day-to-day operations, ensuring compliance with requirements, and acting as a primary contact for tasks related to Hydropower and data analytics in the electricity generation sector.
The Data Analyst will provide analytical support to the Navy's CIO, focusing on data modeling, extraction, transformation, and building reports and dashboards. Responsibilities include utilizing OLAP tools, conducting statistical analyses, data governance, and implementing data security measures.
In this position, you will support data analytics for the MyNavy HR enterprise, focusing on maintaining OLAP tools, developing data frameworks for analysis, and ensuring data governance. Responsibilities include designing data models, performing statistical analyses, and implementing data security standards to support decision-making processes.
The Data Analytics Project Manager manages a team of data analytics professionals, overseeing data management, governance, and analysis for the MyNavy HR enterprise. Responsibilities include hiring decisions, reviewing data practices, ensuring data security, and developing data integration solutions.
As a Senior Analyst in Credit Risk Management, you will analyze data to improve credit strategies and policies, develop predictive models, and present actionable insights. You'll work collaboratively with other analysts and stakeholders to enhance risk management and decision-making processes.
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