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As a Sr Data Scientist for Forecasting, you will develop and deploy predictive models for demand forecasting, inventory management, and supply chain optimization. Responsibilities include managing the full ML model lifecycle and collaborating with cross-functional teams. You will also mentor junior members and stay updated on machine learning technologies.
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.
As a Senior Data Scientist at Grubhub, you'll lead efforts in creating scalable experimentation processes, design and evaluate experiments, support data-driven decision-making, and act as a thought leader in experimentation methodologies while collaborating with multiple teams.
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 Senior Manager, Fraud Risk Data Science will lead the Fraud Risk Data Innovation team, managing data scientists and collaborating on data science projects related to fraud detection and transaction risk. Responsibilities include ownership of predictive modeling projects, designing experiments, and communicating results across teams.
The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.
Faculty positions at Assistant and Associate Professor levels in computational neuroscience and neural data science at FAU's College of Engineering and Computer Science. Candidates will engage with data from brain circuits and collaborate with research communities at FAU campuses. Join a dynamic team integrating engineering and computational sciences with neuroscience research.
The Data Science Consultant will work with stakeholders to translate business challenges into technical solutions using applied mathematics and statistics. Responsibilities include developing production-ready solutions, assessing and cleaning data, selecting appropriate algorithms, training models, and creating data visualizations to support decision-making.
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Engage with senior leadership to provide analytics and insights on business performance, competitive analysis, and metric trends. Conduct exploratory data analysis to uncover insights that drive strategic decisions. Prepare and present reports and dashboards for senior-level audience. Develop and maintain operational models and data pipelines. Implement automated reporting solutions to streamline data analysis and presentation. Manage data and analysis requests from Investor Relations, Finance leadership, and executives.
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.
Responsible for leading and participating in the design, development, and maintenance of software applications, focusing on cloud native solutions. Collaborate with cross-functional teams to enhance data-driven features, improve user engagement, and mentor junior engineers while maintaining high coding standards.
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.
As a Principal Associate, Data Scientist, you will collaborate with cross-functional teams to design and implement machine learning models, using advanced technologies to analyze large volumes of data and improve customer management decisions.
The Principal Associate, Data Scientist will work with a cross-functional team to build machine learning models that enhance customer management decisions. The role involves model development, deployment, monitoring, and using various technologies to analyze large datasets, aiming to improve user experience and drive business goals.
As a Data Scientist, you'll collaborate with cross-functional teams to deliver machine learning models for customer management. Your role will involve building models, leveraging various technologies to analyze data, and translating complex insights into business goals.
The Data Scientist Lead will coordinate initiatives for advanced analytical solutions, oversee model development, and mentor analysts. This role focuses on directing impactful team activities, exploring business needs, and staying abreast of industry trends. Responsibilities include creating data visualizations and dashboards, leading analytics projects, and translating business problems into analytical tasks.
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 Lead Data Scientist will lead the data science team to develop and implement advanced data science models focused on enhancing customer-facing search and recommendation systems. Responsibilities include team mentorship, managing production model risks, and collaborating with business partners on projects.
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 Senior Associate, Data Scientist will collaborate with cross-functional teams to develop and implement machine learning models that drive customer management decisions at Capital One. Responsibilities include data analysis, model development, and translating complex data insights into business strategies.
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 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 Data Science Lead Analyst will evaluate generative AI applications for compliance with fair lending regulations. Responsibilities include designing and maintaining compliance programs, developing methodologies for evaluating AI applications, and collaborating across departments to address compliance issues. The role also involves statistical analysis and assisting with regulatory inquiries.
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.
As a Senior Associate, Data Scientist at Capital One, you will collaborate with data scientists, software engineers, and product managers to build machine learning models that enhance customer management decisions. You will leverage technologies like Python and AWS to analyze large data sets, focusing on model development and deployment while translating technical complexities into business objectives.
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