Top Data Science Jobs
The Director of Data Science at Snap Inc will lead the data science team, drive business outcomes through analytic strategies, manage complex datasets, and deliver insights on ad performance and customer engagement across products. This role involves collaborating with senior executives and ensuring high-performance analytics and model development.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
The Principal Data Scientist will lead analytical initiatives and provide strategic recommendations to solve business problems using advanced analytics, machine learning, and statistical methodologies. Responsibilities include collaborating with cross-functional teams, developing analytical frameworks, and delivering insights to leadership through presentations and reports.
The Senior Manager, Data Science will lead and grow a team of skilled data scientists, partner with senior leaders to identify business opportunities, and build KPIs. This role involves driving analytics strategy, managing roadmapping and sprint planning, and delivering high-quality analytic insights and data-driven solutions.
The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.
Lead end-to-end development life cycle of innovative ML-based enterprise products, architect and implement AI-enabled data products, research and assess state-of-the-art AI algorithms, engage with senior client leaders, publish thought leadership pieces, foster ZS talent, shape firm strategy in newer areas and practices including AI.
Featured Jobs
Lead the development of innovative ML-based products, architect AI-enabled data products, lead research and design for new product lines, and engage with clients to deliver transformative solutions. Oversee development cycles and foster talent through recruitment and training.
As a Data Scientist Associate, you will collaborate with various teams to gather requirements and work on analytics related to Chase's branch and ATM distribution network. Responsibilities include developing algorithms for large geospatial datasets, implementing ML models, and documenting analytics processes to meet control obligations.
As an Associate Director of Data Science, you will develop and implement algorithms to solve complex supply chain issues, use machine learning and operations research, and collaborate with various supply chain functions to optimize operations. You will drive strategic planning initiatives and lead analytics teams for continual improvement in processes and metrics.
The Lead Data Scientist will drive innovation in advertising by applying data science and statistical analysis. Responsibilities include developing models, defining key metrics, delivering insights, analyzing A/B tests, and mentoring team members within a collaborative environment.
The Senior Data Science Analyst is responsible for managing and enhancing credit risk oversight processes, evaluating consumer credit risks, managing a team, and developing reports on credit risk appetite. The role involves collaborating with teams to mitigate risks and presenting analytical findings to management.
As a Data Science Associate Consultant, you'll develop advanced algorithms, apply statistical techniques, and analyze data trends. You'll collaborate with clients, contribute to technology assessments, and mentor junior team members, driving impactful solutions and fostering innovation.
As a Sr Manager of Data Science, you will lead a team to develop and execute data science projects, employing analytics to enhance customer experiences and drive product innovations in retail technology. Your role will involve collaboration with various stakeholders, establishing product visions, and analyzing data to generate actionable insights.
The Director of Data Science will lead a team responsible for driving business outcomes through advanced analytical methods. This role involves managing machine learning models, collaborating with senior executives, improving data governance, and delivering actionable insights while managing multiple projects to enhance ad performance and customer engagement.
The Director will lead the data science team at Snap Inc, focusing on driving business outcomes through strategic improvements using data analysis. Responsibilities include developing machine learning models, managing analytics projects, improving data management, and leading a high-performance team to provide insights and recommendations.
As a Data Scientist II, you will analyze data to build models that drive efficiency and decision-making in healthcare. You'll leverage advanced statistical and AI methodologies, develop automated data processes, and collaborate closely with various teams to improve healthcare outcomes. The role involves data manipulation, model evaluation, and presenting findings, impacting both patients and business solutions.
The Data Science Director at OpenX will lead the Machine Learning team, guiding the development of ML products and collaborating with cross-functional teams to execute the ML team's roadmap, ensuring innovative and scalable solutions are delivered on time.
The Data Science Co-op at Solaria Labs involves supporting various projects related to public health and safety using machine learning techniques. The role includes coding, collaborating with teams, and developing software prototypes, as well as building custom algorithms and insights from data.
The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.
Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.
The Lead Data Science Analyst will manage advanced analytics initiatives, focusing on credit risk and home loans servicing. The role involves developing machine learning algorithms, collaborating cross-functionally to deliver insights, and creating reports and dashboards to monitor metrics. Additionally, the analyst will identify and implement efficiency improvements and continuously enhance their skills through training.
As a Director of Data Science, you will lead and expand the Data Science team, focusing on driving data-driven insights through statistical analyses and collaboration with various departments. Your role involves building high-quality dashboards, defining KPIs, and advising on field experiments to support strategic decisions across the organization.
The Senior Manager, Data Science will lead the personalization analytics team, driving data-backed strategies to enhance Walmart's personalization algorithms and improve item recommendations for customers. Responsibilities include leading product analytics efforts, collaborating with teams, conducting A/B tests, and influencing stakeholders with insights.
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