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The Data Scientist will collaborate with the SmartBidder team to enhance software solutions and analytics for renewable energy storage. Responsibilities include prototyping machine learning models, optimizing software design, integrating data sources, writing scalable production code in Python, and communicating with stakeholders across technical and non-technical teams.
As a Senior Data Scientist on the Dynamic Pricing team at Shipt, you will design and analyze advanced experiments for pricing models, implement cutting edge ML models, and present findings to stakeholders. You will leverage your expertise to validate the impact of pricing and algorithmic changes on business metrics.
The Data Scientist II will focus on developing and optimizing predictive models using machine learning and statistical analysis of data, particularly 3D data. They will prepare and sample data using software and cloud resources, and employ data visualization tools to support business strategies.
The Senior Economist / Applied Scientist is responsible for building models, collaborating with engineers to integrate customer data, and leading the research and development of econometric models. Key responsibilities include driving experimentation methodologies, providing scientific leadership, and mentoring a team of scientists to enhance the GeoLift model and deliver significant business impact.
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As a Senior Data Scientist on the Pricing team at Lyft, you will tackle mathematical problems, collaborate with cross-functional teams, design experiments, and implement algorithms in production to enhance pricing strategies. You will also analyze data to inform business decisions and provide mentorship to teammates.
As a Sr. Data Scientist II, you will design, develop, and optimize AI/ML models and solutions for the DoD Search Portfolio products, collaborate with cross-functional teams, manage the lifecycle of AI components, and apply analytical methodologies to tackle data challenges.
As an Applied Data Scientist, you will develop data processing strategies, extract and format data, conduct exploratory analyses, and create interactive scientific applications using R shiny. You will collaborate with scientific teams and contribute to advanced research to enhance biomedical decision-making.
As a Principal Data Scientist, you'll lead cross-functional teams to innovate AspenTech's Digital Grid Management solutions. This role involves developing machine learning algorithms, collaborating with stakeholders to enhance AI integration, and assessing new technologies for software applications in the energy sector.
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As a Data Scientist I, you will collaborate with cross-functional teams to drive data-driven solutions. You will work on machine learning projects, A/B testing, and assist in developing products that enhance data-driven decision-making. Your role will involve identifying data opportunities and implementing strategies that impact business outcomes.
The Data Science Consultant will collaborate with stakeholders to solve business problems using analytics. Responsibilities include data manipulation, dataset preparation for analysis, communicating insights, and managing multiple projects while ensuring data quality and integrity.
As a Data Scientist on the Analytics & Behavior Change team, you'll analyze large datasets using advanced statistical techniques to derive insights that inform healthcare strategies. You will develop algorithms and predictive models, implement data processing pipelines, and communicate results to support decision-making.
As a Sr. Data Scientist, you will develop and deliver statistical models and algorithms, analyze structured and unstructured data, and collaborate with business partners to derive insights that inform healthcare strategies. You will also employ machine learning techniques and work with large data sets to solve complex business problems, ensuring improved network performance and consumer engagement.
The Senior Data Scientist will support the Department of Defense by developing and optimizing AI and machine learning solutions within the Search Portfolio, enhancing data accessibility and decision-making processes. Responsibilities include collaborating with cross-functional teams, managing the AI/ML lifecycle, and employing advanced analytical methodologies on large datasets.
The Data Scientist will develop and improve machine learning and statistical models for Swish's sports betting products, analyze model performance, and work with cross-functional teams for deploying new models while adhering to software engineering practices.
The Staff Data Scientist will be responsible for collecting, cleaning, analyzing big data, and implementing Big Data strategies. They will work collaboratively to design and deploy data science solutions, create visualizations, and ensure data quality while driving data-driven decision-making processes.
The role involves building and maintaining a secure cloud-hosted laboratory for data science teams at the US Department of Treasury. Responsibilities include developing data pipelines, implementing tools like Databricks, managing AWS services, and ensuring compliance with data security and AI principles.
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As a Staff Data Scientist, you'll work on the experimentation platform, develop methods for causal inference, and collaborate with engineers and data scientists to improve experimentation practices. Your role will involve building Bayesian inference, bias correction, and tools for continuous testing and optimization.
As a Data Scientist, you will develop AI/ML models for risk segmentation and selection, communicate analyses and insights, mentor junior staff, and design analytical solutions to address business challenges in insurance.
As a Senior Data Scientist at Bungie, you will support product security initiatives by designing, developing, and maintaining machine learning services in a cloud environment. You will collaborate with cross-functional partners to build analytics capabilities, transform data, and communicate results to diverse stakeholders, all while protecting players from emerging threats.
As a Data Scientist at Spry, you will design and maintain complex data models, implement machine learning algorithms, analyze large datasets, and collaborate with teams to develop data-driven solutions. Your role will involve creating data visualizations and ensuring data quality while keeping updated with advancements in data science and AI.
As a Senior Data Engineer, you will collaborate with clients to identify their data needs and propose solutions. Your responsibilities will include developing data systems, performing statistical analyses, preparing reports, and creating data visualizations. Utilizing strong programming skills, you will apply advanced methodologies to analyze complex datasets and improve operational performance.
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The role involves building predictive and optimization models for internal business operations, customer acquisition, revenue forecasting, and collaborating on implementing ML algorithms. A strong programming and data science background is essential to tackle ambiguously defined tasks and work with teams on data-driven decisions.
As a Senior Data Scientist, you will develop claims enrichment methodologies and analytics products, conduct data analysis, and communicate findings to stakeholders. Your role will encompass statistical design, operationalizing data models, and working with large datasets to drive clinical and operational improvements.
The Senior Manager of Data Science will oversee a team in developing and deploying data science applications, focusing on Gen AI for analytics in the finance department of Walmart. Responsibilities include building models, managing projects, and maintaining communication with various teams to drive execution and innovation.
The Data Scientist will apply quantitative analysis, data mining, and data visualization to improve API products, conduct large-scale A/B experiments, identify signals for machine learning models, and influence product decisions. The role also involves building ML solutions and promoting a data-driven culture.
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