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The Senior Data Scientist will lead the design and development of personal auto insurance pricing models, drive feature engineering for telematics data, mentor junior data scientists, and collaborate across teams to translate models into real-world applications while advocating for data-driven strategies within the organization.
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.
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 Senior Data Scientist at Behaivior will lead machine learning and data science initiatives, providing technical guidance for the team. Responsibilities include participating in challenging projects and supporting research efforts as the primary liaison for technical assistance.
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.
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 Staff Data Scientist, you will apply machine learning and data science techniques to enhance banking customer engagement. Key responsibilities include collaborating with partners, implementing ML solutions, and ensuring best practices in model training and evaluation.
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.
As a Data Scientist in the Generative AI Accelerator team, you will utilize Generative AI technologies to support business use cases, lead the evaluation and improvement of GenAI models, and collaborate with Business Experts and Software Engineers. Responsibilities include designing GenAI solutions, conducting experimentation, maintaining systems, and contributing to training initiatives.
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 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.
Glean is seeking a Senior Data Scientist to define and build data assets for AI products. Responsibilities include improving KPIs, influencing cross-functional teams, maintaining quantitative frameworks, and applying statistical modeling. The role also involves exploring the intersection of search and generative AI products to enhance user experience using product analytics.
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.
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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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As a Data Scientist II at Tinder, you'll analyze complex datasets to improve recommendation algorithms, enhance user engagement, and drive revenue. You will work with various teams to design experiments, build forecasting models, and create automated reports, using A/B testing and data visualization tools to inform strategic decisions.
The Data Scientist role involves building innovative longitudinal datasets and implementing machine learning models on diverse healthcare data. Responsibilities include integrating various data sources, enhancing machine learning tools, and communicating results effectively across a multidisciplinary team.
The Senior Data Scientist will conduct data analysis to support commercial strategies, collaborate with stakeholders to define metrics, integrate data from various sources, and leverage AI and machine learning for efficient data processing. Responsibilities include maintaining dashboards and reporting insights to teams in Sales, Marketing, and Product Development.
The Data Scientist will use expertise in statistics, knowledge graphs, and generative AI to build and implement complex data models, conduct statistical analyses, develop knowledge graphs, and collaborate with cross-functional teams to drive data-driven solutions for business challenges.
As a Principal Data Scientist, you will leverage your extensive experience to provide technical expertise for sustaining critical mission-related software and systems for a government customer. Responsibilities include programming in Python and/or Java, working with machine learning technologies, and developing cloud solutions.
As a Staff Data Scientist in Pricing, you will lead innovative pricing model initiatives, collaborate with cross-functional teams, manage a lead data scientist, mentor junior members, and drive large-scale data science projects while ensuring best practices in project management.
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