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The Senior Data Scientist will lead the development of a recommendation engine to enhance user engagement with personalized yoga and meditation content. Responsibilities include strategizing, designing machine learning models, collaborating with cross-functional teams, analyzing data for insights, and mentoring team members while ensuring system performance and scalability.
The Senior Data Scientist will lead initiatives using data mining and advanced modeling techniques to provide insights for DTN’s customers in agriculture, oil, gas, and weather sectors. Responsibilities include implementing predictive models, conducting feasibility studies, and creating visualizations to communicate results while collaborating with stakeholders to address their needs.
As a Data Scientist III, you will develop, deploy, and optimize advanced data science and AI solutions to improve business operations. You will analyze large datasets, build predictive models, work on data architecture, and present insights to stakeholders. The role requires proficiency in programming and machine learning frameworks.
Senior Data Scientist role at OmniData in Portland. Responsibilities include building data science solutions, analyzing large data sets, developing statistical and ML models, improving decision-making processes, and implementing analytical models in production.
The Staff Data Scientist will analyze complex data sets using statistical modeling and machine learning techniques to develop and implement data-driven strategies for improving Walmart's eCommerce products and customer experience. This role involves leading a team, driving A/B testing, and collaborating across various teams to provide insights and recommendations.
As a Senior Data Scientist on the Search Ranking Team, you will analyze vast amounts of data and develop complex machine learning models to enhance product search relevance on e-commerce platforms. Your work will optimize ranking algorithms and ensure customer query intents are effectively understood across various modalities.
The Senior Data Scientist will utilize Python to process data, identify outliers, and ensure data system security. Responsibilities include building and tuning predictive models, creating analytical dashboards, and conducting statistical analysis in support of the Risk Management Framework lifecycle.
The Data Scientist III will process and analyze healthcare data, maintain and optimize data pipelines, and improve the team's codebase while collaborating with experts in causal inference to evaluate product impacts and perform business analytics.
Featured Jobs
As a Senior Data Scientist at Walmart, you will analyze large data sets using machine learning and statistical modeling, lead experimentation projects, mentor a team, and collaborate with cross-functional teams to enhance eCommerce offerings.
The Staff Data Scientist will leverage advanced machine learning and big data techniques to optimize advertising performance at Walmart. Responsibilities include developing algorithms for ad relevance, processing large datasets, and collaborating with various teams to implement models and improvements.
As a Staff Data Scientist, you'll develop machine learning products in collaboration with various teams, analyze complex business issues, define key metrics for AI/ML systems, and ensure effective communication with stakeholders to integrate data-driven solutions into the business.
As a Data Scientist at ELEVI, you will analyze large datasets, develop machine learning algorithms, create visualizations, and collaborate with subject matter experts to automate analytics processes. You will also generate reports and insights from the data, while having opportunities to work with various cloud environments and data analysis software.
As a Data Scientist II at Oscar, you will leverage AI/ML to enhance member engagement and develop analytics to demonstrate the value of novel communication channels. Responsibilities include mentoring junior data scientists, developing data pipelines, and delivering analytical solutions while collaborating across business units.
The Senior Data Scientist will develop optimization models for logistics operations, build automated pipelines, define and track KPIs, create financial models, and conduct advanced statistical analyses to inform strategic decisions. The role emphasizes collaboration across teams to enhance time-critical logistics through data-driven solutions.
The Principal Data Scientist leads the development of data-driven solutions, employing advanced analytics and machine learning to derive actionable insights. This role involves managing complex projects, collaborating with cross-functional teams, and developing training materials to enhance data literacy across the company.
The Data Scientist will develop, improve, and manage data science and machine learning models while collaborating with R&D. Responsibilities include data manipulation, feature engineering, and model implementation. The role also involves communicating insights to stakeholders and ensuring quality control within the data team.
The Senior Data Scientist role involves identifying data sources, developing and deploying analytical models, coding, conducting data quality checks, and creating visualizations. It requires a solid understanding of the business domain, strong coding skills, and the ability to mentor junior associates. The role emphasizes delivering data-driven insights to enhance business performance and strategic decision-making.
As a Data Scientist at Horizontal Digital, you will develop algorithms and predictive models to solve business challenges for Salesforce, enhance CRM applications, and create valuable insights through data analysis and visualization. You will design data models and manage data as a product while collaborating with various teams to deliver analytics and dashboards.
The Staff Data Scientist will develop and validate predictive models using advanced machine learning techniques to facilitate fraud detection. This role involves conducting research on emerging modeling technologies, improving processes through MLOps, and collaborating with cross-functional teams to deploy models. Additionally, the role requires managing model risks and conducting analytical analyses for client inquiries.
As a Mid-Level Data Scientist at GliaCell, you will provide technical expertise for sustaining mission-critical software and systems for a U.S. Government contract, focusing on adversary defeat, mission management, and data visualization.
As a Senior Data Scientist at Independence American Insurance Company, you will research, design, and implement data models and algorithms for analyzing diverse datasets. Your role includes developing software and automated processes for data cleansing and integration, designing predictive models, and analyzing experimental results. Collaboration with product and service teams is key to identify data-driven questions and optimize outcomes.
As a Data Scientist, you will build and train AI applications, collaborate with teams globally, develop learning algorithms, and visualize data insights. A strong background in statistical modeling and experience with machine learning tools is essential.
The Staff Data Scientist will lead full-stack development of scoring services, RESTful APIs, and container-based services. Responsibilities include developing software using machine learning technologies, ensuring service reliability and security, and mentoring team members. The role requires collaboration with various teams to architect scalable solutions in a hybrid work environment.
As a Senior Data Scientist at Coinbase, you'll analyze complex business problems, guide data metrics, and manage data visualizations. You'll also conduct rigorous experiments, collaborate with cross-functional teams to influence product decisions, and drive impactful projects in the evolving crypto landscape.
The Staff Data Scientist will develop advanced AI models focusing on large language models and Generative AI. This role involves leading data science initiatives, collaborating with interdisciplinary teams, and enhancing AI-driven interactions and personalization for impactful user experiences.
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