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As a Senior Data Scientist at Spokeo, you'll leverage machine learning and graph theory to turn extensive data into actionable insights. Your role involves driving product improvements, automating performance tracking, and collaborating with various teams to inform strategy. You'll also conduct analyses and keep abreast of technological trends to enhance business solutions.
The Sr. Principal Data Scientist role involves assessing data management needs, recommending robust data infrastructure, implementing data lifecycle management frameworks, ensuring data quality, leveraging analytics for insights, and identifying training programs for data management at NSIC.
The Senior IT Data Scientist will create and maintain genomic and genetic research databases, ensuring compliance with federal regulations. Responsibilities include developing data management strategies, quality control programs, and collaborating with IT and scientific staff to support research projects.
The Data Scientist will drive analytics and strategic insights for eBay's Hardgoods category. Responsibilities include developing product health metrics, conducting A/B tests, and creating monitoring tools for insights. The role involves collaboration with product managers, business owners, and engineering teams to enhance product features and customer experiences using large datasets.
As a Senior Data Scientist focused on Performance Marketing, you will create and optimize machine learning models like Multi-Armed Bandit and recommendation systems to enhance user personalization and improve customer engagement. Collaborating with cross-functional teams, you will oversee the integration of machine learning solutions and drive significant consumer impact while increasing lead quality and revenue.
The Senior Data Scientist at Entefy will play a key role in pushing the boundaries of data science. This position requires delivering advanced analytics, strong data visualization, and extracting insights from complex datasets, while leading and mentoring junior data experts.
The Staff Data Scientist will lead the design, development, and deployment of advanced AI models, collaborating with cross-functional teams to enhance autonomous endpoint management capabilities. Responsibilities include analyzing data patterns, developing machine learning algorithms, ensuring AI model guardrails, and optimizing model performance in real-world applications.
The Data Scientist will create analytical tools and products, working with clients to develop insights and improve business results. Responsibilities include client collaboration, developing predictive models, validating existing models, and managing multiple projects.
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As a Data Scientist on the Entity Resolution team, you will enhance analytics capabilities on Google Cloud, develop Entity Resolution processes, utilize data structures and algorithms, and collaborate with stakeholders to deliver insights. You'll analyze large datasets and present findings to clients.
The Data Scientist will develop and monitor risk models, perform statistical analyses, and support business efforts by analyzing transaction data. Responsibilities include compiling predictive model packages, automating analyses, and ensuring project delivery while promoting big data innovation within Visa.
The Sr. Principal Data Scientist will develop data mining architectures and analysis methodologies to reveal trends from large data sets for business insights or competitive advantage. The role requires strong statistical skills and proficiency in data visualization.
The Junior Data Scientist will support a financial regulatory client by developing data pipelines and analytics solutions using programming languages, performing statistical analysis, data manipulation, and creating efficient queries. They will work with stakeholders and teams to develop scalable analytics solutions that meet decision-makers' needs.
The Data Scientist will analyze product changes to impact business metrics, collaborate with product managers and engineers on experiments, and derive insights for decision-making. Responsibilities include advanced data modeling, creating dashboards, ensuring data quality, and communicating findings to various teams.
As a Senior/Staff Data Scientist, you will process large datasets into strategic insights, design machine learning models, and perform statistical analyses for product and leadership teams. Responsibilities include evaluating ML opportunities, mentoring mid-level data scientists, and collaborating with product and engineering teams. You will also communicate technical findings to various stakeholders and contribute to the development of the company's data science capabilities.
The AVP, Data Scientist is responsible for developing and implementing machine learning algorithms and statistical models, extracting insights from complex datasets, and ensuring successful deployment of solutions. This role involves collaborating with various teams, optimizing model performance, and communicating findings to stakeholders.
As a Staff Data Scientist at Travelers, you will develop advanced AI solutions leveraging Generative AI technologies for global operations. Your responsibilities include leading ML projects, establishing best practices, mentoring others, and collaborating with cross-functional teams to implement AI strategies and drive innovation.
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As a Senior Data Scientist on the Rider team at Lyft, you will utilize data analytics to identify opportunities and enhance the rider app. Responsibilities include designing experiments, developing performance metrics, and collaborating across departments to drive data-informed business decisions. You will have significant influence on shaping critical product features and improving user experience through rigorous analysis.
As a Senior Data Scientist at Moloco, you will work collaboratively with various teams to enhance the use of data and machine learning, develop and standardize metrics, and mentor junior scientists. You will present findings to leadership, build self-service data products, and drive data-centric insights that align with business goals.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
As a Staff Data Scientist at tvScientific, you will lead the Measurement practice, developing data science tools for Connected TV ad campaigns and optimizing their effectiveness. You will collaborate with engineers and communicate findings to clients, utilizing strong statistical and machine learning skills, while writing production-level Python code.
The Senior Data Scientist at Lyft Media will develop insights to support advertising efforts, set business metrics, partner with stakeholders for data-driven decisions, design product experiments, and mentor junior data scientists in a fast-paced, collaborative environment.
As a Senior Data Scientist on the Rider team at Lyft, you'll leverage data to identify growth opportunities, design experiments, and collaborate across functions to improve the rider app and make data-driven business decisions. You'll monitor product performance and establish key metrics for success, ensuring a focus on customer-centric outcomes.
As a Senior Data Scientist, you will leverage data analytics to enhance user privacy initiatives, develop data dashboards, and conduct advanced analysis. You will collaborate with product management and engineering teams to identify opportunities for new features and deliver actionable insights to improve user experiences.
As a Data Scientist in Analytics Consulting at Komodo Health, you will deliver high-value data analytics projects, implement client solutions using advanced statistical analysis or machine learning, and develop an understanding of healthcare claims data. You will work collaboratively with teams to solve complex problems and present insights effectively to various audiences.
The Senior Data Scientist will lead projects utilizing machine learning, operations research, and statistical techniques in a full-stack environment. Responsibilities include identifying high-impact opportunities for data science, mentoring junior team members, and establishing best practices within the team.
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