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Top Data Science Jobs in Atlanta, GA
As the Sr. Director of Analytics, you will lead analytics initiatives to enhance client media and digital investments, implement frameworks for performance measurement, and guide a team of analytics professionals. Your role includes developing data-driven insights to optimize user experiences and marketing performance, overseeing tagging and tracking implementations, and collaborating with cross-functional teams.
The Data Science Manager at Garner will develop care navigation algorithms and analytics while managing a team of 4-6 data scientists and analysts. This role will involve leading data science initiatives and ensuring the success of the company’s healthcare mission.
Lead the Enablement team at Jellyfish, guiding data scientists and engineers in producing analytics, insights, and tools to inform product and business strategies. Deliver self-serve analytics capabilities, support executive reporting with bespoke analyses, and maintain analytics infrastructure while fostering a culture of data-driven decision-making.
The Principal Field Solution Architect focuses on pre-sales solution design and engages with sales teams to strategize and understand customer environments. They develop scopes of work and build relationships with clients to grow business by understanding and addressing their data needs with a variety of modern data technologies.
The Engineering Director will lead the Data Integration and Platforms team, focusing on scaling and improving data integration systems with electronic health records. Responsibilities include building a skilled engineering team, establishing a technical vision, enhancing data governance, and preparing for AI/ML adoption. The role requires overseeing projects to ensure high-quality results and effective collaboration across the organization.
The Director of Data Science will lead a high-performing team to implement innovative analytics approaches, focusing on machine learning and predictive modeling to optimize human resources functions. They will collaborate with various stakeholders to enhance data governance, develop data science strategies, and align HR data sources with organizational needs.
The Senior Engineer will work with Cedar's Production Infrastructure team to optimize and maintain cloud and application infrastructure, build self-service tools for developers, and contribute to high-impact projects across teams, enhancing stability and efficiency of the platform.
As a Data Science Co-op at Jellyfish, you will develop algorithms to analyze software development practices, contribute to marketing research, learn machine learning model deployment, create analyses for customers, and explore research in computer science and applied mathematics.
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The role requires leading the Credit and Data Science functions for Empower's international operations, developing risk models and credit policies, and launching innovative products to improve customer financial outcomes. The candidate will lead teams to analyze consumer behaviors and tailor solutions for different markets, contributing to business growth in Latin America and South East Asia.
Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
As a Senior Product Analyst at Headway, you will be responsible for collaborating with product and engineering teams to define analytical requirements and use data insights to improve decision-making and product strategies. You will leverage analytics to influence user behavior trends and drive effective product development.
The Manager of Sales Engineering will lead a team of Sales Engineers, collaborating closely with sales teams, channel partners, and enterprise customers. Responsibilities include developing sales strategies, delivering presentations, solving complex problems, and managing the team’s operational needs.
The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.
The Pre-Sales AI Director will partner with customers to identify and scope AI/ML transformation roadmaps and pilot engagements, develop business cases and financial models, and align customer needs with C3 AI's technical capabilities, involving regular travel to customer sites.
The User Acceptance Testing Associate will support UAT processes and product rollout, collaborating with data science and product management to create and execute test plans and scripts. Responsibilities include defect identification, operational support, facilitating defect triage, and continuous improvement of testing methodologies.
The AI Solution Manager oversees customer engagement and leads product and business development efforts in the AI/ML sector within the Central and South American markets. This involves collaborating with partners to identify problems solvable through ML, leading cross-functional teams to develop AI solutions, and facilitating communication between technical and business teams.
The Staff Data Science Engineer will spearhead data-driven innovations for online grocery delivery at Instacart, focusing on building intelligent systems, enhancing data collection methods, and developing user-friendly tools for data scientists. This role requires strategic collaboration across teams, prioritizing various data initiatives, and implementing complex technical solutions that impact multiple facets of the business.
As an AI Tutor at Alignerr, you will enhance AI models' understanding of data science through teaching, evaluation, and resistance testing. Your responsibilities will include applying statistical methods, guiding machine learning applications, and fostering data ethics in AI. The role requires both technical expertise and a commitment to exploring AI advancements.
The Senior Data Scientist will work with health and care data to provide insights and recommendations, maintaining algorithms, integrating new datasets, and creating data visualizations. Collaboration with operations, sales, and product teams is essential to address business needs through data-driven solutions.
As a Senior Product Manager at Honor, you will guide product direction, working from conception to launch in a fast-paced environment. Your role includes driving alignment with stakeholders, managing competing priorities, and working closely with data science teams to set success metrics and embrace experimentation. You are expected to communicate complex ideas clearly and act like an owner in a remote-friendly setting.
Lead and manage a team of data engineers to maintain and grow Valo Health's data engineering platform. Collaborate with multi-functional teams to support drug discovery efforts by driving the evolution of the data platform, ensuring scalability, and promoting best practices in data management and governance.
The Senior Manager I, Data Science and Analytics will lead a team to deliver analytics services for healthcare.gov communications. This role includes mentorship, project design and evaluation, ensuring quality of analytical products, and providing strategic insights based on data findings.
As a Lead Data Scientist at Humana, you will drive data-driven solutions for marketing teams, optimize performance, conduct strategic consulting, and oversee analytics efforts. Responsibilities include test design, campaign analysis, advanced analytics, and agency partnerships to improve marketing effectiveness.
The Software Manager for Data Analytics leads a team in transforming data into actionable insights, designs visualization systems, and communicates with decision-makers. Responsibilities include optimizing data strategies, managing team performance, and ensuring data privacy compliance. The role necessitates a successful track record in program management and effective interpersonal skills.
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