Top Data Science Jobs
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.
The Data Science Lead will define and build data assets, identify improvements for KPIs, and create quantitative frameworks. They will work closely with cross-functional teams to drive user growth, retention, and engagement through data-driven insights, enhancing user experiences and supporting Customer Success Management teams.
The facilitator of Data Science at Flatiron School will guide a small class of learners through online coursework, provide feedback on projects, and lead discussions connecting curriculum to real-world applications. They will foster a collaborative learning environment, assessing and guiding students while exemplifying the school's values.
As a Staff Data Scientist at ezCater, you will lead the design and implementation of advanced data science models and statistical analysis. You will mentor other data scientists, innovate analytics techniques, conduct A/B testing, and develop predictive models to enhance customer experience and contribute to data-driven decision-making.
As the Vice President - Data Science Lead, you will analyze large-scale workforce data to create statistical and data science models. Key responsibilities include building analytical solutions, collaborating with technology teams, and communicating results to stakeholders, all while managing a hands-on approach to data science and statistical modeling.
Lead the development of innovative ML-based products, architect AI data solutions, research advanced algorithms, and engage with senior clients to deliver transformative solutions. Oversee hybrid teams in the creation of AI applications and contribute to ZS's talent development and firm strategy.
The Manager of Data Science will harness data science and analytical insights to support brand strategies for the US Commercial team. Responsibilities include developing machine learning models, interfacing with stakeholders, enhancing brand and sales understanding, and driving execution strategies.
Senior Manager, Data Science role at a Fortune 200 company specializing in credit card industry disruption and data-driven decision-making. Responsibilities include partnering with cross-functional teams, building machine learning models, leveraging technologies like Python and AWS, and translating complex work into business goals. Ideal candidate is customer-focused, a leader, technically proficient, and a data guru. Basic qualifications include a Bachelor's Degree with 7 years of experience in data analytics or a Master's Degree with 5 years of experience.
Featured Jobs
The Data Science Director in Model Risk at Capital One will lead a team in using statistical models and advanced technologies. Responsibilities include partnering with data scientists and engineers, building machine learning models, and translating complex analyses into business goals to drive better risk management decisions.
Data Science Manager at Capital One focusing on building customer management valuation models using advanced machine learning solutions. Responsibilities include developing model pipelines, translating solutions into business outcomes, and managing existing model suites.
The Senior Credit Manager / Senior Staff Data Scientist will analyze and evaluate data to develop and propose credit risk strategies and models for various lending products, with a focus on Personal Loans. Responsibilities include implementing underwriting strategies, monitoring portfolio risk trends, and collaborating with cross-functional teams to drive revenue and control risk.
As a Director on the AI/ML team, you will lead a team of data scientists to address complex business challenges in Global Financial Crime Compliance. This role involves designing machine learning solutions, mentoring staff, collaborating with stakeholders, and managing project lifecycles to deliver impactful AI/ML implementations.
The Senior Data Science Analyst will engage in analyzing and solving business problems using advanced analytics techniques such as segmentation and machine learning. Responsibilities include developing reports and dashboards, collaborating with cross-functional teams for data gathering and analysis, and presenting insights to leadership.
In this role, you'll lead analytical initiatives by employing techniques like machine learning and optimization to address business problems. Responsibilities include managing risks, developing reports and dashboards, collaborating across departments, and delivering presentations on findings to various leadership levels.
As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.
As a Data Science TLM Manager, you will shape Airbnb's search and personalization strategy by leading a team of data scientists, developing specialized models for the recommendation platform, and ensuring collaboration between the relevance team and product organization to enhance user experience.
The Sr. Manager, Data Science will lead projects focused on optimizing Walmart’s supply chain strategies using advanced analytics and data modeling. Responsibilities include project management, data analysis, and the development of metrics and dashboards, with a goal of enhancing customer experience and operational efficiency.
As a Senior Manager in Data Science, you will lead a team of data scientists and machine learning engineers to create and implement AI models and applications that support Walmart's finance department. Responsibilities include model development, managing a team, and collaborating on cross-functional projects to leverage Walmart's extensive data.
The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.
As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.
As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.
The Data Science Product Portfolio Manager will manage data science product delivery, coordinate multi-project initiatives, and enable technical solutions. Responsibilities include translating business goals into product solutions, managing client expectations, ensuring quality deliverables, and collaborating with technical and business teams to drive AI and machine learning analytics projects.
As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
Lead the development of innovative ML-based enterprise products, architect AI-enabled data products, and solve complex cross-functional problems. Engage with senior clients, manage hybrid teams, and shape firm strategy in AI. Foster talent and publish thought leadership.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
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