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The Senior Data & AI Specialist at IOTA will perform data analysis, develop machine learning models, create visualizations, and optimize data processes. Key responsibilities include collaboration with cross-functional teams to align product strategies with technological capabilities and customer needs.
The Senior Data Scientist will develop predictive models using machine learning and statistical methods on data collected from 3D sources, leveraging tools like Python and AWS. Responsibilities include preparing data, performing iterative solutions, and working collaboratively in a dynamic team.
As a Senior Data Scientist, you will lead efforts in measurement and metrics design, experimentation, and causal analyses. You will collaborate with cross-functional teams to drive product improvements and mentor junior data scientists. The position requires expertise in data science and strong technical communication skills to present insights to stakeholders.
The Data Scientist will analyze raw data to assess quality, cleanse and structure it for processing, design scalable prediction algorithms, and collaborate with engineering teams to deploy analytical prototypes while generating actionable business insights.
The Data Scientist at Blackbird Health will analyze healthcare data and develop solutions that align with the company's vision. Responsibilities include collaborating with engineers, employing machine learning methods, ensuring data quality, and creating data science products to enhance healthcare services.
The Senior Data Scientist Consultant will analyze data to address marketing, client, and product challenges. Responsibilities include customer segmentation, predictive marketing, data visualization, and enhancing customer experiences. The role involves developing solutions, contributing to pricing strategies, and supporting operational teams with data needs.
The Senior Data Scientist at 6sense is responsible for leading the design and development of AI solutions to address complex business problems. The role involves utilizing advanced machine learning and deep learning techniques, collaborating with stakeholders, and ensuring alignment with business objectives while continuously adapting to technological advancements.
The Sr. Data Scientist in Monetization will drive strategic analysis, build and track success metrics, and enhance decision-making through experimentation and statistical methods. Responsibilities include modeling, opportunity sizing, and mentoring other data scientists to improve performance in ad ecosystem strategies.
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As a Data Scientist at Pinterest, you will apply quantitative modeling and statistical methods to solve complex problems. You will develop analysis pipelines, work cross-functionally with product teams, and contribute to data-driven decision-making for product development.
The Senior Data Scientist will develop and deploy machine learning models to optimize business decisions including portfolio optimization and marketing media modeling. They will work cross-functionally to create data products that impact business operations and require strong problem-solving and analytical skills.
As a Senior Data Scientist, you will drive the technical roadmap for risk monitoring, develop advanced prediction models, and improve algorithms through data analysis. You will collaborate across teams to convey findings, attract talent, and ensure effective communication of insights with a focus on delivering high-performing data solutions.
As a Data Scientist at Modo Energy, you will analyze large datasets, develop power market models, and ensure that the products meet user needs while collaborating closely with the team to enhance offerings for energy transition financing and operation.
As a Data Engineer at WireWheel, you will design, construct, and deploy data pipelines for extracting operational intelligence using machine learning techniques. You will analyze client data, design algorithms for data management, and develop software systems. Your role involves handling large datasets and enhancing privacy insights from various data sources.
The Senior Engineer, Data Scientist will analyze telemetry from memory products, develop machine learning models, and create data visualization reports. Responsibilities include statistical analysis, collaborating with teams, and communicating results to enhance product quality and reliability.
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The Lead Data Scientist at BlueLabs will design and deliver analytics products, manage predictive modeling processes, lead a team, and ensure the quality of data and modeling results. The role requires collaboration across teams to troubleshoot and create solutions while meeting project deadlines.
As a Data Scientist at Pacaso, you will support Advanced Analytics initiatives, bringing customer insights to various teams. Responsibilities include data acquisition and cleansing, operationalizing performance metrics, communicating analyses, designing experiments, and building predictive models for customer segments.
The Bioinformatics Data Scientist will develop and optimize computational pipelines using Nextflow, manage data visualization tools, and integrate and maintain data solutions for drug development. Collaboration with cross-functional teams and troubleshooting existing systems are key responsibilities, along with staying updated on bioinformatics technologies.
The Senior Data Scientist will derive insights from data, develop data models, and improve data pipelines while partnering with revenue and marketing teams. Responsibilities include analyzing trends, conducting experiments, and leveraging analytical models to enhance sales and user experience.
The Senior Data Scientist will lead analytics for user safety experiences, partnering with product and engineering teams to guide product development and improve data practices. Responsibilities include informing product direction using data, supporting launches, and gaining insights from user data to assist decision-making.
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As a Data Scientist at Equifax, you'll analyze complex data sources and develop analytical solutions, collaborate on predictive models, and create AI and ML deployments using Google Cloud Platforms. You will visualize findings for management and work on various analytical tasks across different domains.
The Senior Data Scientist will leverage advanced data analysis and machine learning skills to solve complex business problems, mentor junior scientists, collaborate with cross-functional teams, and communicate results to stakeholders, ensuring data science solutions drive value and are integrated into products.
The Senior Data Scientist leads data science projects at MCA Connect, working with clients to implement advanced analytics strategies and build predictive models, while mentoring junior team members and driving innovation within the Manufacturing Intelligence team.
The Sr Data Scientist will perform advanced data analysis, develop machine learning models, and collaborate with mission stakeholders to address complex challenges related to big data interventions. Responsibilities include data extraction, transformation, and predictive model development while ensuring effective communication of project outcomes to diverse audiences.
As a Data Scientist III, you will work on developing Generative AI applications within Luminate, conducting data analysis, building and training machine learning models, implementing AI solutions, and collaborating with cross-functional teams for business insights.
As a Principal Data Scientist, you will collaborate with hardware and software teams to develop data collection strategies and advanced machine learning algorithms. Your role includes architecting cloud-native solutions for data management, establishing analytics frameworks, and driving data-driven decision-making through detailed insights and reporting.
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