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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 leverage LLMs to develop Generative AI applications, using machine learning and advanced analytical techniques to analyze complex data sets. Responsibilities include creating reports and models, influencing strategy, and making independent decisions on complex issues.
The Principal Data Scientist at Magnify will work with various data sources to build predictive models for revenue expansion and churn, improve model accuracy through stakeholder input, and innovate on future data science opportunities. They will also collaborate with the engineering team to enhance the reliability and scalability of data science pipelines.
As a Data Scientist at GliaCell, you will provide technical expertise to support U.S. Government projects, focusing on data analysis and visualization to aid mission management. You will leverage your skills to handle large datasets and contribute to software and system sustainability.
As a Staff Data Scientist at ClassDojo, you will leverage data to make strategic decisions, shape the company's direction, and solve product and business challenges by uncovering insights and improving product offerings. You will collaborate closely with cross-functional teams, focusing on enhancing user experiences and brand engagement.
As a Senior Data Scientist in Risk at Brex, you will manage the full model development lifecycle, collaborating with cross-functional teams to deploy data and AI solutions for fraud and credit risk management.
The Data Scientist will develop innovative data solutions, leveraging statistical tools and machine learning to enhance marketing performance. Responsibilities include designing workflows, building models, visualizing data in user-friendly applications, and collaborating with cross-functional teams to address client data challenges.
As a Data Scientist, you will research and develop data solutions, transform analytics into insights, and collaborate with experts to respond to business needs. You will handle unstructured data and continuously innovate within a growing startup environment.
As a Data Scientist at Airtable, you will analyze marketing data, create data models, and develop self-service analytics and reporting tools. Your role includes collaborating with teams, driving insights, and fostering a data culture through experimentation and transparency in metrics.
As a Senior Data Scientist at Amperon, you will implement data validation processes, build advanced time series forecasting models, create features to enhance forecasting accuracy, monitor model training, evaluate performance, and deploy models into production environments, all while analyzing energy consumption data.
As a Senior Data Scientist for Root, you will enhance the marketing strategies through A/B testing, targeted models, and data-driven recommendations. You'll oversee the development and implementation of marketing approaches, focusing on novel strategies and their impacts. Your role includes rapid prototyping and clear communication of outcomes to stakeholders.
The Principal Data Scientist will lead and scale data science initiatives focusing on predictive modeling and algorithms for ad targeting and bidding strategies. They will leverage machine learning and collaborate with various teams to ensure a data-driven approach aligns with business objectives, while also emphasizing user privacy.
The Senior Data Scientist II will develop and implement data science solutions to enhance data products, conduct analyses to extract insights from diverse data, and collaborate on complex business problem-solving. The role requires proficiency in machine learning, statistical modeling, and programming languages.
The Senior Data Scientist will analyze data to identify growth opportunities for brokerage products, design modeling solutions, collaborate with product and engineering teams, and conduct post-launch analyses to ensure effective model performance and business value.
As a Staff Data Scientist on the Brokerage team at Robinhood, you will develop and refine data models for trade execution optimization, apply game theory concepts, conduct post-trade analyses, and collaborate with trading and engineering teams to create data-driven solutions.
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The Data Scientist will develop actionable insights and algorithms for marketing challenges using data-driven methods. Responsibilities include analyzing datasets, building statistical models, enhancing existing models, collaborating with teams, and communicating insights to non-technical stakeholders.
The Data Scientist will leverage advanced programming, machine learning, and statistical analysis to extract insights from large datasets. Responsibilities include modeling data, making informed recommendations, and communicating complex information to varied audiences. The role also involves translating mission needs into technical requirements and working collaboratively within the Cyber department.
The Senior Data Scientist in Operational Efficiency at HUMAN is responsible for building automation and capabilities to detect and disrupt novel bot attacks using machine learning techniques. They will support experiments to demonstrate the value of automation solutions and contribute to the team's responsibilities in reviewing work, monitoring anomalies, and improving toolsets.
As a Data Scientist II, you will refine pricing models for regulatory compliance, collaborate across multiple teams, and utilize R, SQL, and H2O for data analysis and modeling. You're expected to contribute to data-driven decisions that optimize performance and support large-scale data science projects.
As a Data Scientist, you will analyze large data sets to identify insights and trends, develop predictive models, collaborate with various teams, create visualizations, and communicate findings effectively.
The Data Scientist will design, implement, and manage a GIS mission platform, utilizing advanced analytics and machine learning to analyze geospatial data. Responsibilities include developing code for object detection, integrating data from multiple sources, and producing detailed documentation for stakeholders.
As a Data Scientist in the Perception team, you will design and develop data development strategies and model evaluation metrics for AI in autonomous driving. Your responsibilities include supporting data-centric AI, defining performance metrics, and staying updated on validation techniques.
As a Data Scientist at Raptive, you will analyze experiments to drive revenue improvements and classify audience content. Responsibilities include deriving insights from large datasets, building metrics, and creating dependable solutions to support the business.
The Data Scientist at FIT:MATCH will design and optimize 3D data collection and analytics using Python and algorithms for real-time processing. The role involves collaborating with teams on project requirements, developing software for data acquisition and visualization, and staying current with advancements in 3D technology and computer vision.
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