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As a Sr. Data Scientist II, you will design, develop and optimize AI/ML models and collaborate with cross-functional teams. Responsibilities include managing AI/ML components throughout their lifecycle, utilizing cloud resources for performance optimization, and applying analytical methodologies for data challenges. Stay updated on AI advancements and support the integration of solutions into products while maintaining documentation.
As the Founding Data Lead, you will build and implement AI and machine learning models for decision making, develop data architectures and pipelines, and optimize data quality and performance. Your role includes hands-on model development and long-term leadership as the company scales.
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As a Data Scientist on the Rider team at Lyft, you will apply analytics and modeling techniques to influence key business decisions. Responsibilities include shaping product vision, designing A/B experiments, collaborating with cross-functional teams, and providing technical guidance to junior members. You'll drive strategic initiatives and present data-driven insights to stakeholders.
The Senior Data Scientist will lead data science initiatives, create data pipelines, analyze runner behavior data, develop analytical models, and collaborate across teams to inform product development. This role involves translating complex data into insights, managing projects, and ensuring data quality and accessibility for the Run Research team.
The Junior Data Scientist role involves leveraging generative AI technologies for tax administration enhancements. Responsibilities include processing and analyzing large datasets, developing predictive models, collaborating with cross-functional teams, and presenting insights to stakeholders. IRS security clearance is required.
The Data Scientist will be responsible for automating data collection, preprocessing data, identifying trends, developing databases, and collaborating with teammates. The role requires strong problem-solving skills and a background in statistics, with experience in Python or R.
As a Data Scientist at Flip Shop, you will leverage data and user-generated content to enhance the shopping experience and drive growth. Your responsibilities include developing data science solutions, collaborating across departments to derive insights, and implementing key performance indicators to monitor initiatives. You will use advanced coding and statistical techniques to address complex business problems.
The Junior Data Scientist will support the DoD's integrated biosurveillance program by designing and implementing informatics and data science solutions. Responsibilities include applying analytical methodologies, developing data models, documenting requirements, and utilizing advanced data tools to analyze large datasets.
Featured Jobs
As a Data Scientist, you will work on improving clinical algorithms, developing customer-facing analytics, and enhancing our data science infrastructure. Your role will involve building and deploying models and delivering significant value to customers while growing the team culture.
As a Data Scientist III at Meijer, you will develop and integrate machine learning and AI solutions that enhance customer loyalty and operational performance. You will collaborate with various departments to build data science pipelines, identify strategic solutions, and define key performance indicators to assess product impact.
The Staff Data Scientist will apply data science and machine learning to enhance consumer banking experiences and optimize marketing strategies. Responsibilities include algorithm implementation, dataset organization, collaboration with business partners, and leading initiatives in applied data science to drive business insights.
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The Senior AI Engineer at AHEAD will develop and deploy machine learning models and AI solutions. Responsibilities include collaboration with teams to design data science solutions, mentoring junior data scientists, and participating in pre-sales activities while ensuring successful project delivery to clients.
The Cleared Data Scientist will collaborate with data analytics professionals to design and develop solutions involving data pipelines, modeling, and visualizations. Responsibilities include developing ML models, preprocessing datasets, documenting technical details, and maintaining solutions in an Agile environment.
The Senior Data Scientist role involves providing technical expertise for a U.S. Government contract. Responsibilities include leveraging advanced technologies and programming languages like Python and Java, participating in machine learning/AI projects, and working both independently and in teams on critical software and systems sustainment.
As a Telematics Data Scientist at Tiger Analytics, you will leverage expertise in AI, machine learning, and geospatial technology to develop advanced analytics models and tools. Collaborating with cross-functional teams, you'll define technical problem statements, create efficient analytical models, and ensure their incorporation into data products to drive business value.
As a Full Stack Data Scientist, you'll develop data pipelines, conduct data analysis, create visualizations, build and deploy machine learning models, and collaborate with teams to communicate findings. You will ensure model performance and maintain data-driven solutions in a cloud environment.
The Staff Data Scientist is responsible for designing and developing advanced classification algorithms for EEG neurodiagnostics using machine learning, signal processing, and statistical analysis. This role involves collaborating with stakeholders, analyzing data patterns, and deploying analytical solutions to drive business outcomes.
As a Principal Data Scientist at At-Bay, you will drive informed business decisions through advanced data modeling and analytics. You will create a data platform to enhance risk assessment frameworks, collaborate with cross-functional teams, and develop predictive models to analyze cyber incidents.
The Data Scientist will solve healthcare problems using machine learning and predictive modeling. Responsibilities include collaborating with teams to design and implement models, exploring data, creating hypotheses, and translating healthcare issues into mathematical frameworks. The role requires statistical techniques competency and experience with data processing and analysis.
The Senior Data Scientist will develop and implement data processing software and analytics algorithms to solve business problems using AI and machine learning. Responsibilities include collaborating with internal teams, advocating products, and understanding market needs. The role involves working on challenging projects with a focus on delivering analytics solutions.
The Lead Data Scientist is responsible for building analytical solutions for business processes, focusing on unstructured medical documents. This role involves designing and executing analyses, creating predictive models, and collaborating with business stakeholders to provide insights and drive implementation of solutions.
The Staff Data Scientist will collaborate with the Lyft Media team to frame digital ad problems, develop and implement machine learning algorithms, analyze data, and communicate findings to drive business decisions. Responsibilities include exploratory data analysis, experimentation, and model development.
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As a Senior Data Scientist at Scale, you will build evaluation frameworks for LLMs, adapt statistical models for complex problems, partner with stakeholders for data-driven decisions, and drive product development for generative AI applications.
As a Senior Data Scientist, you'll analyze spatio-temporal data, collaborate with product managers, and create actionable insights for customers. You'll work in a data-driven environment, using statistical methods and data visualization to present findings effectively.
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The Data Scientist II role focuses on analyzing data to enhance Tinder's recommendation algorithms and improve user engagement. Responsibilities include A/B testing, designing experiments, building forecasting models, and reporting insights to influence strategic decisions across product, marketing, and engineering teams.
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