Design and develop machine learning-powered solutions to enhance large-scale software products. This includes managing the full lifecycle from data manipulation and model training to integration and technical support.
Remote Data Science Jobs (243)
Search = data science
Job category = Software Development
Participants will engage in a self-study program to learn data science and generative AI across three levels of difficulty. They will complete curated tasks and real-life projects under the supervision of industry mentors.
Design and deploy intelligent forecasting models and quotation automation agents using GCP-native services. Develop production ML pipelines and integrate model outputs into agentic workflows to drive operational efficiency.
Lead a data science team in the design, development, and deployment of machine learning models to optimize credit risk decisions. Partner with cross-functional business and technical leaders to integrate new data sources and ensure sound risk management.
Lead consumer credit data science efforts by developing scoring, affordability, and behavioural models to optimize underwriting and pricing. Partner with product and engineering teams to embed decision logic into real-time systems and mentor squads on data-driven decision making.
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Lead the strategic expansion of the US Health AI roadmap by transitioning product lines from passive detection to autonomous AI agents. Manage a high-performing team of data scientists and engineers while bridging the gap between technical execution and C-suite stakeholders.
Provide technical coaching in data science, machine learning, and AI automation to help clients grow in their roles. Offer comprehensive career guidance including resume reviews, interview preparation, and salary negotiation strategies.
Senior Data Science Consultant, Insurance - Remote
CSAA Insurance Group, a AAA Insurer
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Full Time
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3 Weeks Ago
CSAA Insurance Group, a AAA Insurer
Lead the design and development of advanced simulation models to explore emerging insurance trends and support long-term strategic decision-making. Collaborate with cross-functional leaders to translate complex data findings into actionable business recommendations and mentor junior consultants.
Lead consumer credit data science efforts by developing scoring, affordability, and behavioural models to optimize underwriting and pricing. Partner with product and engineering teams to embed decision logic into real-time systems and mentor squads on experimentation best practices.
Data Science AI/ML Lead | Fulltime | Bangalore/Remote
Two95 International Inc.
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Full Time
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3 Weeks Ago
Two95 International Inc.
Lead a team of data scientists and analytics engineers to shape measurement and innovation strategies for personalization and merchandising. Partner cross-functionally to drive business impact and provide decision-ready insights for content distribution.
Senior Data Science Engineer Specialist - Data Scientist
Concurrent Technologies Corporation
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Full Time
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3 Weeks Ago
Concurrent Technologies Corporation
Collaborate with business leaders to translate complex problems into data science projects and predictive models. Develop dashboards and reports to communicate actionable insights to both technical and non-technical audiences.
Drive the development and enhancement of the in-house Insurance Analytics platform using machine learning and software development. Provide regional support, lead analytic solutions, and mentor junior colleagues to foster a high-performance culture.
The role involves administering the cloud-based Microsoft 365 environment and providing first-level hardware and software support for employees. Additionally, the student will support cybersecurity operations and develop internal automations using Microsoft Power Automate.
Lead a team in developing production-level AI and data science models to solve operational challenges like caregiver matching and scheduling. Partner with Product, Engineering, and Operations to turn complex problems into scalable decision-support systems.
Lead a data science team to deliver advanced analytics and business transformation for clinical trial feasibility and site activation. Develop strategic roadmaps for forecasting, risk prediction, and optimization to improve clinical development cycle times.
Director, Product Management, Data Science (AdTech/Programmatic)
PulsePoint
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Full Time
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4 Weeks Ago
PulsePoint
Lead the Intelligence Group to develop and scale ML, identity, and data science capabilities for a healthcare programmatic advertising platform. Manage a team of product managers across five streams, including optimization engines, AI targeting, and data partnerships.
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SR. DATA SCIENCE ENGINEER SPEC-DATA SCIENTIST
Concurrent Technologies Corporation
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Full Time
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4 Weeks Ago
Concurrent Technologies Corporation
Collaborate with business leaders to translate complex problems into data science projects and develop predictive models to inform business strategy. Create detailed dashboards and reports to communicate actionable insights to both technical and non-technical audiences.
Lead and mentor a high-performing data science team focused on connecting blockchain activity to real-world entities. Drive technical innovation across the data stack and collaborate cross-functionally to transform raw blockchain data into actionable product insights.
Lead and mentor a high-performing data science team focused on connecting blockchain activity to real-world entities. Drive technical innovation across the data stack and collaborate cross-functionally to transform raw blockchain data into actionable product insights.
Lead the strategy and delivery of predictive models to improve customer acquisition and long-term commercial value. Partner with Engineering and ML Ops to transition models into reliable, production-ready products that drive business growth.
Lead the strategy and delivery of predictive models to improve customer acquisition, marketing performance, and long-term commercial value. Manage a team of data scientists and collaborate with Engineering and Product teams to productionize ML solutions.
Manage and mentor a team of direct reports while optimizing data processing scripts in R, Python, or SQL. Collaborate with internal and external stakeholders to derive data-driven insights and translate complex findings into accessible reports.
Lead research and development and data science initiatives to drive innovation. Focus on exceeding customer expectations and making a positive impact on local communities.
Lead experimentation, business intelligence, and advanced analytics to drive growth and liquidity across a global two-sided marketplace. Partner with executive leadership and data engineering to build a scalable measurement engine and trusted metrics layer.
Data Science Manager - Space Intelligence (Remote)
The Home Depot
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Full Time
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5 Weeks Ago
The Home Depot
Lead and mentor a team of data scientists to design and deliver AI-powered planogram automation and space intelligence solutions. Translate business requirements into technical roadmaps and oversee the end-to-end integration of ML models into production-grade software.
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Design and implement a formal business data layer in dbt to serve as the single source of truth for GTM metrics. Collaborate with Finance and GTM Operations to define business metrics and mentor the data science team on best practices.
Design and maintain a robust business data layer in dbt to serve as the single source of truth for GTM metrics. Collaborate with Finance and Operations to define business metrics and mentor the data science team on best practices.
Lead the data science strategy to optimize insurance risk and pricing while managing a high-performing team of data scientists and ML engineers. Partner with senior executives to integrate AI-first thinking and deliver measurable business impact across the homeowners insurance platform.
Build an industrial data factory to power next-generation Voice AI systems by driving high-performance data acquisition and synthesis pipelines. Collaborate with engineering and product teams to develop advanced characterizations of conversational audio and scalable benchmarking methodologies.
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