Top Data & Analytics Jobs
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The Senior Data Scientist will leverage advanced analytics and machine learning to drive growth and enhance customer experience for Gap Inc's brands. Responsibilities include creating predictive models, guiding audience targeting strategies, and collaborating with various teams to ensure data quality and implement data-driven strategies.
The Principal ML Engineer will build and deploy scalable machine learning models, develop web applications for data insights, and collaborate with cross-functional teams to deliver impactful data-driven solutions. Responsibilities also include providing consulting services for data-driven decision-making.
The Data Scientist will leverage data science techniques to extract insights from customer data within the Customer Data Platform. Responsibilities include developing predictive models, implementing machine learning algorithms for personalization, collaborating with marketing and sales teams, creating visualizations, and ensuring alignment of initiatives with business objectives.
AI Scientists at HHMI develop and execute AI-based research projects aimed at biological discoveries. They lead collaborative teams, oversee projects, explore new methods, and contribute to scientific publications. They work on a range of scales, from individual projects to large initiatives, and ensure coordination across teams.
As a Manager of Data Science, you will lead a team to develop and optimize decision systems and create scalable, data-driven products that drive business outcomes. You'll manage machine learning models and statistical analysis to generate insights and enhance company processes, fostering innovation and mentoring junior team members.
The Principal Predictive Analytics Consultant leads the analytics team in designing and delivering solutions like Automated Underwriting and Risk Scoring. Responsibilities include managing complex datasets, developing predictive models, ensuring solutions meet business objectives, and presenting findings to stakeholders.
The Sr. Data Scientist will develop and improve predictive models for pricing algorithms at CarMax, focusing on feature engineering and incorporating new insights. Responsibilities include leveraging statistical and machine learning techniques, conducting controlled experiments, and communicating findings to senior leaders to drive business change.
The Data Scientist will solve healthcare data-driven problems using machine learning and predictive modeling methods, collaborating with the Data Science team and Product Management to maximize the utility of predictive modeling in healthcare operations.
Featured Jobs
As a Senior Data Scientist at Bose, you will deliver AI and machine learning solutions for demand forecasting and supply chain models. Engage with stakeholders to translate business problems into data science solutions, collaborate with various teams, and mentor others while deploying predictive and prescriptive models.
As a Full Stack Data Scientist & Machine Learning Engineer at Cardinal Health, you'll develop and deploy machine learning models, integrate generative AI solutions, create user-facing applications, and construct robust APIs. You will collaborate with cross-functional teams and stay updated on AI trends while ensuring scalable and efficient solutions in healthcare.
The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.
The Senior Data Scientist will lead data science projects using machine learning and statistical techniques, identify opportunities for data science, measure business impact, and mentor junior team members.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.
The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.
The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.
As a Staff Machine Learning Engineer at Fakespot, you will apply machine learning techniques to analyze unstructured data, develop and fine-tune models for text-related tasks, optimize models for production, monitor performance, and collaborate with cross-functional teams to enhance features and solutions.
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The Sr. Software Engineer for Machine Learning at Tinder will develop algorithms and recommendation systems that enhance user matches and optimize business metrics. This role involves high-impact contributions in a collaborative, innovative engineering environment.
As a Sr. Software Engineer, you'll develop machine learning infrastructure to support various business needs, mentor junior engineers, and collaborate with cross-functional teams. Your work will enable rapid testing and scaling of experiments using vast datasets.
The Senior Computer Vision Scientist will develop predictive models using 3D data, utilizing machine learning and statistical modeling techniques. They will clean and prepare data for analysis, leverage cloud resources for data processing, and extract data from databases, while continuously iterating on solutions in a collaborative environment.
As a Senior Software Engineer at Mashgin, you will leverage your expertise in machine learning and computer vision to design and implement deep learning algorithms. You will focus on solving real-world problems, develop innovative data collection methods, and transition research into production-ready solutions collaboratively with a small team.
As an Engineering Manager in the Machine Learning team, you will lead a group of data scientists and ML engineers to build innovative credit insights products. This role includes overseeing the development of machine learning models for credit risk assessment, defining strategic initiatives, and collaborating with stakeholders to enhance product delivery.
The Sr. Data Scientist at DataRobot will act as a trusted advisor on AI for US Federal Government entities. Responsibilities include leading technical engagements, demonstrating the DataRobot product, and collaborating with customers to implement AI solutions that drive business value. The role requires expertise in machine learning and strong customer-facing skills.
The VP of Data and Insights will lead the transformation of the Philadelphia Inquirer into a data-informed organization by overseeing data teams, developing data strategies, and enhancing operational capabilities through data insights.
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As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
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