Top Data Science Jobs
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 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.
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 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.
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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 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.
Seeking a translational multiomics Sr. Scientist/Principal Scientist with expertise in developing and applying computational skills to understand complex biological systems and their relationship to clinical state changes. Responsibilities include applying bioinformatics, computational biology, and machine learning tools to generate insights from high-dimensional molecular datasets.
Lead initiatives for Walmart's omnichannel supply chain strategies, manage projects from start to finish, analyze data and modeling, optimize supply chain processes, and implement metrics for transformation.
In this role, a PhD Data Scientist will develop advanced analytics solutions focusing on demand forecasting, scenario planning, risk management, and financial forecasting. This position requires collaboration across departments to optimize supply, cost, and pricing strategies for improved business outcomes.
The AVP Data Science Digital Analytics role involves leading modeling and analytic strategies for digital marketing, developing campaign strategies, and using data to optimize communication outcomes. Responsibilities include working with SQL and Python for data analysis and modeling, collaborating with teams, and improving the customer journey through advanced analytics.
As the Manager of Data Science, you will lead a team of data scientists, manage data-driven projects from inception to deployment, and collaborate with cross-functional partners to address business challenges through advanced analytics and optimization techniques. You will oversee experiment design and ensure alignment with business goals while staying updated on industry trends.
The Sr. Fraud Data Scientist will develop ML models to predict and detect fraud, automate workflows, improve processes through technical expertise, and provide data-driven insights. The role involves collaboration with partners to enhance fraud detection capabilities and deliver data visualizations that communicate findings effectively.
The Data Science Consultant will analyze business problems, create Data Science roadmaps, communicate methodologies, work on end-to-end digital solutions, and identify appropriate machine learning solutions for clients. They'll also need to have experience in deploying models and using advanced analytics.
Conduct detailed analyses, create Data Science roadmaps, communicate methodologies, work on end-to-end solutions, identify solutions for client problems.
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As a Senior Data Scientist at Faire, you'll work on developing machine learning models to optimize shipping costs, evaluate retailer creditworthiness, and enhance retailer acquisition through predictive modeling and SEO strategies, collaborating with a skilled team.
The Senior Manager of Data Science oversees the implementation of solutions for identifying complex patterns in large data sets. Responsibilities include leading a team to design and deliver AI/ML solutions, collaborating with product teams, and ensuring alignment with business needs and technological trends.
Manage a team of data scientists and machine learning engineers to develop AI products aimed at enhancing business performance. Translate data science outputs for wider business applications and establish data science capabilities across the organization.
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