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Top Data Science Jobs
As a Staff Data Scientist, you will translate customer goals into data-driven solutions, using machine learning and statistical practices to enhance product accuracy and usability. You will work in cross-functional teams to analyze data quality, develop techniques for anomaly detection, and contribute to data product development.
The Principal Data Scientist will lead business plans and projects by analyzing operational needs, developing technical solutions, and leveraging analytics. Responsibilities include code development in SQL, Java, C++, and Python, data source identification, quality checks, and analyzing customer data to create impactful solutions. The role also involves conducting tests, creating dashboards, and guiding junior associates on data quality.
The Principal/Sr. Data Scientist at Northrop Grumman is responsible for creating data mining architectures and methodologies to analyze large datasets, identify trends, and support advanced science team's prototype development. Candidates must possess strong communication skills and a robust background in image science and statistical visualization.
The Senior Data Scientist will lead a team to develop analytics-focused products, utilizing machine learning and advanced modeling to enhance customer experience and drive revenue opportunities. Responsibilities include designing experiments, building predictive models, and collaborating with cross-functional teams to generate actionable insights.
As a Staff Data Scientist at Invoca, you will lead the development and implementation of machine learning models and techniques, focusing on conversation intelligence and optimization for marketing and sales. This includes conducting research, mentoring team members, and creating efficient workflows for data curation while applying generative AI techniques and advanced algorithms.
As a Senior Data Scientist, you will develop and implement large-scale personalized recommendation models using machine learning techniques. This involves collaborating with engineers, designing data pipelines, and utilizing modern AI technologies to enhance retail personalization.
The Senior Data Scientist role involves executing data science projects for various operations, including forecasting, labor optimization, and delivery efficiency. Responsibilities include designing and deploying models, analyzing complex processes, and providing data-driven solutions for better decision-making and economic impact.
As a Sr. Data Scientist at Viaduct, you will collaborate with clients to develop tailored data science solutions, utilize advanced machine learning techniques to extract actionable insights from complex datasets, and communicate findings to non-technical stakeholders. You will design scalable models, work cross-functionally with teams, and ensure seamless integration of data science solutions into the overall technology stack.
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In this role, you will ingest and analyze large datasets to support decision-making, develop data pipelines, create visualizations, and provide insights into trends. You will collaborate with teams to enhance analytics efforts and contribute to AI model development, utilizing your skills in data mining and machine learning.
As a Senior Data Scientist, you will transform data into actionable insights, develop predictive models, apply ML/AI techniques to enhance GPU productivity, and lead projects across multiple teams. You will utilize your expertise in algorithms and system design to optimize engineering processes and provide analytical frameworks for data handling.
The Data Scientist/Sr. Data Scientist will lead analytics projects in the Life Sciences industry, focusing on Brand, Real World Data, and Marketing Analytics. Responsibilities include managing teams, client engagement, delivering solutions to business problems, and using analytical tools to drive insights.
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 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.
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.
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 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.
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.
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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.
The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.
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