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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 Data Scientist will lead the evaluation of Generative AI models, work on various business use cases involving text, image, and video analysis, and contribute to system packaging for production deployment. Responsibilities include designing GenAI solutions, maintaining existing models, collaborating on optimization projects, and providing training for organizational capabilities.
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.
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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.
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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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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.
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 role entails conducting statistical analysis, developing knowledge graphs, and implementing generative AI solutions. The candidate will work with complex data structures, building scalable AI models and collaborating with cross-functional teams to enhance product insights and decision-making processes. They will also be responsible for managing and deploying data-centric applications effectively.
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.
As a Data Scientist, you'll analyze large datasets, manage machine learning pipelines, and interpret product experiment results. You'll utilize machine learning, statistics, and data mining techniques within a collaborative environment, focusing on eCommerce or Online Retail applications.
As a Senior Data Scientist at Waymo, you will develop and analyze evaluation frameworks for autonomous vehicle performance, employing advanced statistical methods and machine learning models. Your role includes mentoring junior data scientists and solving complex, ambiguous problems while interpreting and investigating data trends.
The Senior Data Scientist will engage in Generative AI initiatives, leveraging advanced machine learning techniques and large language models to build applications. Responsibilities include data collection, analysis, reporting, and influencing strategic business decisions based on complex data evaluation.
As a Data Scientist III, you'll analyze business problems and develop data-driven solutions using statistical modeling and machine learning techniques. You'll collaborate with stakeholders to understand business needs, identify data sources, and conduct exploratory data analysis. You'll also mentor junior associates and ensure the deployment and validation of analytical models while presenting insights for decision-making.
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