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As a Senior Data Scientist, you will innovate and enhance customer experiences using machine learning and big data. Responsibilities include analyzing business problems, developing algorithms and solutions, presenting insights, and mentoring junior data scientists.
The Data Scientist will analyze large datasets, develop predictive models, and provide insights to guide business decisions. Responsibilities include conducting data analysis, developing algorithms for forecasting sports outcomes, collaborating with product and engineering teams, and monitoring model performance.
As a Data Scientist at EverQuote, you will develop and deploy AI and machine learning models to solve business problems. You will work in a cross-functional team, utilizing statistics and machine learning, while mentoring teammates and communicating results to a variety of audiences. Your role is essential in driving business improvements through innovative data solutions.
As a Senior Data Scientist at Antora, you will develop mathematical models for optimizing thermal battery operations, improve forecasts using machine learning, and collaborate with engineering teams. You'll also enhance data pipelines and analyze data to support product design and commercial strategies.
The Data Scientist at LeaseLock develops machine learning models and provides analytical insights to support risk controls, financial forecasting, and sales strategies. Key responsibilities include predicting property risk, delivering data-driven strategies, and identifying data inconsistencies to enhance modeling frameworks.
This role involves developing AI/ML systems and functionality for Red Hat, participating in design reviews, and collaborating within open-source communities. Responsibilities include software development across all phases, monitoring AI/ML technologies, and leading junior engineers. The role requires extensive experience in Python and familiarity with AI/ML platforms, Kubernetes, and open-source integrations.
The Data Lakehouse Enablement Lead - VP role involves designing and maintaining data architectures, pipelines, and lakes. Responsibilities include collaborating with data scientists, setting strategic direction, and managing risks while ensuring data accuracy and security across Barclays Corporate's data team. Strong leadership and engineering skills are essential for influencing stakeholders and guiding complex technical solutions.
The Senior Applied Data Scientist at Abnormal Security will focus on building and enhancing detection systems for email attacks using machine learning. Responsibilities include analyzing false negatives, training models, feature engineering, and improving system efficacy. The role demands a deep understanding of data analysis and the ability to collaborate with other teams to productionize insights.
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The Principal Data Scientist will lead the data science function focusing on customer retention, expansion, and acquisition. Responsibilities include developing ML models, guiding a team, and collaborating with other departments to leverage data science as a strategic differentiator for the business.
As a Senior Data Scientist, you will develop and deploy machine learning models to automate processes, analyze workflows for automation opportunities, collaborate on scalable reporting solutions, and ensure data integrity for AI initiatives. You will also generate analytics to support decision-making and stay updated on AI/ML advancements.
The Senior Data Scientist at Angi will lead the development and deployment of predictive models to enhance user experience and business metrics. Responsibilities include model development, MLOps implementation, collaboration with teams, evaluation of data science solutions, and mentorship of junior members to foster innovation.
The Staff Data Scientist will lead the entire model development process, including creating and improving credit risk models to enhance business performance. Responsibilities involve building machine learning models, collaborating with cross-functional teams, and developing analytics pipelines.
The Senior Data Scientist develops advanced methods to consolidate and analyze big data for business insights, leads automation projects, and builds complex statistical and machine learning models. Responsibilities include data governance, model refinement, and collaboration with stakeholders to assess model performance and impact.
The Staff Data Scientist will develop and maintain fraud detection models, conduct analyses, and work cross-functionally to advance SentiLink’s products in identity verification and financial risk. This role requires technical leadership, model development, and writing production code to inform business decisions.
As a Data Scientist at KACE, you'll support various data science needs including data mining, statistical analysis, and building predictive models. You'll work on enhancing data collection, processing, and ensuring data integrity while creating automated detection systems and performing ad-hoc analyses.
The Basketball Data Scientist will develop and enhance machine learning and statistical models for sports betting products, utilizing sports domain knowledge. Responsibilities include model creation, testing, and deployment, along with performance analysis and documentation of findings.
As a Senior Data Scientist at SentiLink, you will develop and maintain fraud detection models, research new types of fraud, and write production-ready code. Collaborating with various teams, you'll inform data acquisition and product development to drive SentiLink’s evolving suite of Fraud and Financial Risk products.
The Data Scientist II role involves analyzing large healthcare datasets to uncover trends, developing machine learning models, and optimizing workflows. The position focuses on collaboration with various teams to integrate data science solutions and enhance revenue cycle management efficiency through actionable insights and visual communication of findings.
The Lead Data Scientist will manage medium to large data science projects, develop machine learning models and algorithms for fleet management, collaborate with cross-functional teams, mentor junior data scientists, and maintain scalable models. They will ensure high-quality technical outputs and contribute to strategic planning and innovation within the organization.
The Sr Data Scientist will analyze complex business problems, conduct advanced statistical analyses, build predictive models, and collaborate with stakeholders to drive commercial value through data science solutions. They will also work with engineering teams to define feature requirements, monitor quality, and continuously develop their skills.
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As a Senior Data Scientist at Coinbase, you will lead pricing experimentation initiatives, develop pricing models, analyze data, and communicate insights to senior leadership. Your role includes collaborating with various stakeholders, overseeing complex analytical projects, and utilizing statistical modeling to improve engagement and pricing strategies.
The Data Scientist III role at AccuWeather involves exploring and enhancing modeling frameworks using deep learning and atmospheric sciences, designing AI-driven approaches, and leading a data science team. Responsibilities include building and training machine learning models, presenting findings, ensuring data integrity, and deploying models into production environments.
As a Data Scientist at Gauntlet, you will conduct research to improve DeFi protocols' safety and efficiency, analyze complex datasets, manage client relationships, and create engaging research content. You will also be responsible for developing visually compelling dashboards for both internal and external use.
The Staff Data Scientist will lead and mentor other data scientists, develop measurement frameworks, communicate product recommendations, analyze growth strategies, and improve machine learning models for notifications. The role involves collaboration with product and engineering leadership and requires strong analytical and communication skills.
The Data Scientist will analyze and process large datasets, build predictive models, create visualizations, and collaborate across teams to drive revenue growth and operational efficiency at Bertram Capital. They will leverage AI technologies and stay updated on industry trends to inform strategies.
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