Top Hybrid Analytics Jobs

As a Quantitative Trading Strategist, you will use deep market knowledge and quantitative skills to enhance systematic trading strategies, improve algorithmic execution, conduct market research, and collaborate with trading and R&D teams while managing broker relationships.

The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.

The Principal People Operations Data Analyst will analyze data related to People Operations and generate insights to guide business decisions, develop predictive models, and communicate findings to executives. The role requires independently managing complex data projects and reviewing compensation processes.

The Cost Analyst will manage standard costs, perform variance analysis, and handle inventory valuations. Key responsibilities include analyzing manufacturing costs, providing detailed reports, conducting variance analysis, and collaborating with teams for continuous improvement in cost accounting processes.

The Senior/Lead Data Scientist for Marketing Analytics will build and maintain predictive models, analyze data trends, and provide insights to enhance business decisions. Responsibilities include developing complex analytic frameworks, overseeing model recalibration, and creating new analytic procedures. Communication and coordination across teams are also key tasks.

The Associate Director/Director of Analytics will manage the lifecycle of analytical engagements, delivering data and strategic consulting to clients. Responsibilities include leading client meetings, mentoring team members, and developing complex analytic frameworks. The position requires strong communication skills and the ability to refine marketing programs based on analysis of results.

The Capital Markets Trading Analyst is responsible for evaluating the company’s profitability, providing feedback to improve the bottom line, tracking market activities, and supporting the Secondary Marketing department. This role involves analyzing data, ensuring timely settlement of loan sales, and assisting with daily capital markets activities.

Growth Data Scientist role at Quizlet focusing on driving business insights through data, developing analytical frameworks, and working closely with Product, Engineering, and Design teams to drive user growth. Responsible for A/B testing, analyzing user behavior, and informing product roadmap and strategy using data science techniques.

Sr. Data Scientist, Analytics - Ads role at Quizlet, working on building an amazing ads product for users and advertisers by leveraging insights from ads and user engagement data. Responsible for A/B testing, presenting insights, informing product roadmap, and collaborating with cross-functional teams.

As a Senior Data Engineer at Walmart, you will design, build, and maintain data pipelines to transform and manage extensive datasets, facilitating real-time analytics and insights for retail applications. You will collaborate with Data Scientists and Analysts to deliver reliable data assets and enhance data processing capabilities.

Seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure. Responsibilities include developing data architectures, managing ETL processes, optimizing databases, ensuring data quality, and collaborating with stakeholders. The role also involves performance tuning, documentation, and implementing data security measures.

Responsible for developing data pipelines, transforming data into valuable assets, and collaborating with Data Scientists and Analysts to solve complex challenges in the retail industry.