Top Hybrid Data & Analytics Jobs

The Merchandising Analytics Manager will leverage large data sets to provide actionable insights supporting merchandising decisions. The role includes managing analytics initiatives, developing data products, conducting financial analyses, mentoring analysts, and optimizing customer experience and financial outcomes. Twenty-five percent domestic travel is required.

As a Data Scientist II, you will contribute to the entire data science lifecycle, focusing on data acquisition, analysis, and model development. Your role includes conducting exploratory analyses, constructing features, and building machine learning models while collaborating with cross-functional teams to deliver data-driven insights.

In this role, you will empower the Chewy Customer Care teams with data solutions, engaging in the entire data science lifecycle from data preparation to model deployment and analysis communication. You will conduct data analysis, build machine learning models, and collaborate with cross-functional teams to ensure data-driven decisions.

As a Senior Data Analyst at Disney, you will enhance the security features of Disney's streaming services through data analysis and insight generation. Responsibilities include collaborating with stakeholders to convert queries into structured data requirements, utilizing SQL and scripting languages for analysis, managing analytics projects, and presenting insights. You will also work closely with data engineers and conduct A/B testing to drive product improvements.

The Manager of Data Science will lead a team of data scientists to develop and implement machine learning models that enhance subscription services and drive business growth. The role involves managing the full ML lifecycle, collaborating with engineers, providing insights from data analysis, and mentoring the team.

As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms for Disney's streaming platforms, collaborate with cross-functional teams, maintain existing algorithms, and improve personalization strategies to enhance user experiences.

The Senior Counsel will review, negotiate, and draft complex commercial contracts, advising internal clients on legal and business implications while ensuring compliance with current laws. Responsibilities include providing legal advice on various issues and making impactful business recommendations for the company.

The Senior Counsel role involves reviewing, negotiating, and drafting complex contracts while advising internal clients on legal and business issues. The position requires managing expectations with commercial teams and staying updated on legal developments impacting the company's operations.

The Senior Counsel will review, negotiate, and draft complex contracts, advise internal clients on legal matters, and keep abreast of regulatory developments impacting the company. The role requires collaboration with commercial teams to ensure informed business decisions.

The Marketing Integrated Intelligence Analyst drives data-driven decision-making in marketing by measuring and optimizing campaigns, analyzing cross-channel performance, and ensuring data quality and actionable insights in collaboration with agencies. This role includes reporting operations, ad-hoc analysis, and instilling marketing best practices.

As a Senior Data Scientist in GM Motorsports, you will collaborate with cross-functional teams to develop analytics and predictive models using advanced machine learning and AI techniques. Your responsibilities include data preprocessing, model building, and presenting findings through data visualization, all aimed at enhancing race team performance and achieving competitive advantages.

In this Senior Data Scientist role, you will collaborate with cross-functional teams to design, develop, and implement predictive models and machine learning algorithms. You will analyze data to derive insights, monitor model effectiveness, and create data visualizations to support GM Motorsports' strategic and analytics needs.

As a Compensation Analyst, you will collaborate with HR and the Total Rewards team to ensure effective compensation programs. Responsibilities include reviewing new hire offers, refining reporting tools, managing compensation data requests, conducting market research, and supporting compensation initiatives.

As the Marketing Analytics & Insights Manager at Ruggable, you will develop frameworks and tools to influence data-driven decisions, collaborate with cross-functional teams to establish strategy and KPIs, create automated dashboards, and guide stakeholders in leveraging data for business growth, specifically in customer acquisition and retention.

The Senior Data Engineer/Manager will lead the data strategy for Plasma-Derived Therapies, developing data models and ingestion pipelines while ensuring data quality for real-time decision making. Responsibilities include creating and maintaining data systems, collaborating with IT and business teams, and facilitating data-driven decision-making across the organization.