Top Data & Analytics Jobs
The Senior Manager of Data Science oversees the implementation of solutions for identifying complex patterns in large data sets. Responsibilities include leading a team to design and deliver AI/ML solutions, collaborating with product teams, and ensuring alignment with business needs and technological trends.
The Sr. Data Insights Analyst at Samsung Ads will collaborate with various teams to provide data-driven insights to media & entertainment advertisers. The role involves analyzing campaign performance, leveraging first-party data, presenting analytical capabilities to clients, and designing measurement plans to enhance key performance indicators (KPIs).
Manage a team of data scientists and machine learning engineers to develop AI products aimed at enhancing business performance. Translate data science outputs for wider business applications and establish data science capabilities across the organization.
The Lead Data Scientist will transform data into actionable insights for marketing strategies using advanced analytics and machine learning. Responsibilities include collaborating with teams, developing predictive models, optimizing marketing initiatives, and providing strategic recommendations based on data analysis to enhance customer acquisition and retention.
As a Senior Data Science Consultant, you will collaborate with clients to understand their data needs, analyze large datasets, build predictive models, and create data visualizations to derive insights. You will also contribute to internal projects and work closely with engineering teams to address business challenges through data-driven solutions.
As a Senior Data Science Consultant, you'll collaborate with clients to understand their data needs, analyze large datasets, and build predictive models. You'll also contribute to internal Data Science projects and communicate insights through various mediums while proposing strategic solutions to business challenges.
As a Data Science Consultant, you will partner with clients to understand their data needs, analyze large amounts of structured and unstructured data to discover trends, build predictive models, and communicate insights through various mediums. You will collaborate with multiple stakeholders and contribute to developing solutions tailored to clients’ requirements.
The Data Science Consultant will work alongside clients and internal teams to understand data needs, analyze large datasets, build predictive models and machine-learning algorithms, and effectively communicate insights through various mediums. Responsibilities include collaborating with stakeholders to propose solutions to business challenges and contributing to internal Data Science projects.
Featured Jobs
The Data Science Manager will lead data science projects focused on marketing analytics, applying data science techniques to solve complex marketing challenges such as customer segmentation and predictive modeling. Responsibilities include managing project delivery, driving business development, engaging with clients, supporting marketing efforts, and mentoring team members.
The Senior Data Science Consultant will collaborate with clients and internal teams to analyze data, build predictive models, and derive insights. Responsibilities include data acquisition, modeling, presenting findings, and contributing to internal projects while working with advanced analytics and machine learning techniques.
The Senior Data Scientist will focus on Pricing Optimization Analytics, conducting extensive data analysis to drive financial benefits and evaluate pricing strategies. This includes performing various analytics like causal inference and sensitivity analysis, aimed at improving decision-making within PayPal's monetization framework.
The Senior Product Data Scientist will lead analyses of consumer and business trends, designing dashboards and conducting in-depth analyses to drive actionable insights for product and feature launches. The role involves collaboration across teams and continuous monitoring of product performance.
The Marketing Data Scientist will lead solutions for complex business challenges, providing actionable insights and business intelligence to support the Consumer Marketing organization. This role involves collaborating with marketing leadership and cross-functional teams to develop data-driven strategies and actionable recommendations.
As a Data Scientist, you will lead efforts to enhance developer experience with PayPal's products by conducting data science projects. You will analyze product flows and use statistical methods to provide insights that inform the product roadmap for optimizing the developer journey.
The Applied Data Science Associate will undergo a 6-month training program to support customer engagements using the DataRobot platform. Responsibilities include assisting clients with complex data science problems, leveraging AI, and enhancing customer success through effective communication and collaboration with sales and engineering teams.
The Senior Analyst, Data Science conducts data analysis to identify trends and derive insights that drive revenue generation. Responsibilities include managing large datasets, ensuring data quality, developing dashboards, and collaborating with stakeholders. The role emphasizes continuous improvement and effective problem-solving using analytical skills and data visualization tools.
Lead a team of data scientists and analysts focusing on creating safety metrics for self-driving vehicles. Responsible for developing metrics strategy, enhancing machine learning models, and ensuring data science best practices. Engage with various stakeholders to drive data-informed decision making in the AV industry.
As a Data Science Intern at Riot Games, you will collaborate with game design and engineering teams to build data-driven features and services for VALORANT. Your responsibilities include optimizing player experiences using statistical modeling and machine learning techniques, and applying data science systems to live games.
As a Data Science Intern, you will build data products for Riot Games to enhance player experiences in games like League of Legends. Responsibilities include collaboration with game feature teams, designing data products, and applying data science techniques in game development.
As a Data Science Manager at League Studio, you will lead a team to drive data science projects focused on enhancing player experiences. Responsibilities include team leadership, project management, stakeholder communication, and ensuring high standards of data science delivery. You will mentor team members and foster a collaborative environment while aligning with organizational goals.
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The Lead, Advanced Analytics role involves conducting advanced data analysis to extract actionable insights for strategic decision-making across various markets. This includes broad data collection and econometric analysis to identify root causes affecting key business metrics, and collaborating with cross-functional teams to ensure alignment and support market strategies.
The Senior Analyst in Advanced Analytics will focus on generating insights related to supply metrics through advanced causal modeling. Responsibilities include conducting data analysis, monitoring supply performance metrics, collaborating with cross-functional teams, and contributing to best practices in analytics across the organization.
The Senior Administrative Assistant performs various administrative duties such as calendar management, travel booking, meeting coordination, document editing, and expense reporting. They also create presentations and maintain reports using Excel and SharePoint while supporting teams in Insights, Data Science, and Analytics at Nike.
As Sr. Director of Analytics at MERGE, you will lead analytics initiatives to improve media and digital investments, guide a team in implementing analytics frameworks, and leverage data-driven insights for enhanced user experiences. You will strategize around performance measurement, oversee tagging and tracking, and develop actionable recommendations to support client objectives.
The Sr. Director of Analytics will lead analytics initiatives to enhance client media and digital investments by implementing frameworks, measuring performance, and providing data-driven insights. This role involves overseeing a team, driving service evolution, and developing client-specific strategies to improve user experience and marketing effectiveness.
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