Deliver end-to-end data science projects from exploration and modeling to deployment and performance tracking. Collaborate with stakeholders to translate business opportunities into data-driven solutions and support presales activities.
Remote Jobs & Work From Home Opportunities (832)
Search = Data Scientist
Lead the strategy and technical execution of marketing intelligence to optimize B2B and B2C growth. Define long-term technical roadmaps and build measurement frameworks to quantify the incremental impact of marketing spend.
Own the data science strategy for RC Capital by building underwriting and fraud detection systems from the ground up. Partner with Product and Engineering to integrate risk signals into customer flows and internal decisioning engines.
Senior Data Scientist
Nordic Healthcare Group (NHG)
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Full Time
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13 Weeks Ago
Nordic Healthcare Group (NHG)
The Senior Data Scientist designs and builds advanced analytics engines using machine learning, data mining, and information retrieval techniques. They collaborate with business partners to define technical problems and integrate analytical models into scalable data products.
You will lead large-scale data initiatives and build machine learning models to optimize marketplace efficiency. You will also partner with cross-functional teams to provide actionable insights that drive product strategy and business decision-making.
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You will act as the data owner for finance functions and build production-quality data products, dashboards, and KPIs to drive financial insights. You will also collaborate with engineering teams to ensure financial datasets are reliable, scalable, and enriched for business decision-making.
Lead the design and development of advanced statistical and machine learning models to improve claims outcomes and risk management. Collaborate with cross-functional teams to productionize models and provide technical guidance to data scientists and analysts.
Lead the research and development of machine learning models, specifically focusing on synthetic data generation and LLM integration. Collaborate with product and engineering teams to implement these AI solutions into the Cint Exchange platform.
Lead the research and development of machine learning models, specifically focusing on synthetic data generation and text generation. Collaborate with engineering and product teams to integrate these AI solutions into the Cint Exchange platform.
The Tech Lead Data Scientist will define and oversee the technical methodology for evaluating, monitoring, and optimizing AI systems in production. They will provide hands-on guidance to program teams and mentor a team of data analysts to ensure rigorous validation and performance measurement.
The Senior Data Scientist leads the end-to-end lifecycle of AI and machine learning initiatives to improve healthcare outcomes and operational efficiency. They also mentor junior staff and translate complex technical findings into actionable insights for stakeholders.
The Lead Data Scientist will independently apply advanced AI and data science techniques to solve complex business problems within the Higher Education unit. They are responsible for developing scalable solutions, mentoring team members, and communicating technical insights to diverse stakeholders.
Lead and execute HEOR and RWE projects while collaborating with internal and external stakeholders to design and interpret real-world studies. Translate complex research into clinically actionable insights for partners using advanced epidemiologic and health economic methodologies.
Develops scalable algorithms, models, and tools to extract insights from large, diverse data sets for product and operational improvements. Collaborates with internal and external teams to analyze data quality, investigate fraud, and communicate findings through reports and visualizations.
The Staff Data Scientist will own the analytical strategy for a major product area, defining success metrics and driving data-informed decisions. They will partner with product and engineering leadership to translate business problems into actionable recommendations while mentoring other team members.
The Staff Data Scientist will own the analytical strategy for a major product area, defining success metrics and driving data-informed decisions. They will act as a strategic partner to product and engineering leadership while mentoring other data scientists to elevate team standards.
You will explore and prepare datasets while training and evaluating machine learning models under the guidance of senior scientists. Additionally, you will write and maintain production-ready Python code and contribute to the development of LLM-powered systems.
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You will build, iterate, and deploy machine learning models while maintaining production pipelines and contributing to LLM-powered systems. Additionally, you will analyze large multimodal datasets to extract insights and write clean, production-quality Python code.
You will lead the technical direction for AI projects, including scoping problems, building training infrastructure, and shipping production-grade models. You are responsible for the end-to-end lifecycle of AI systems, from data curation and model selection to monitoring and debugging in production.
You will lead the technical direction for AI projects, including scoping problems, choosing modeling approaches, and building training infrastructure. You are responsible for shipping production-ready AI systems, including agentic pipelines and inference services, while mentoring junior scientists.
Data Scientist / ML Engineer (Antarctica Capital)
EarthDaily Analytics
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Full Time
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14 Weeks Ago
EarthDaily Analytics
The role involves refactoring and improving neural network models for bond risk prediction while designing and deploying scalable machine learning systems. You will also collaborate with data scientists to translate prototypes into production-ready systems and maintain firm-wide ML infrastructure.
You will build advanced AI solutions using machine learning, generative, and agentic AI technologies while driving the adoption of modern AI frameworks and cloud-native architectures. Additionally, you will collaborate with customers to translate business challenges into trustworthy AI solutions and provide technical mentorship to junior team members.
The Data Scientist will build predictive models and develop proprietary software tools to identify ore-forming processes and mineral deposits. They will collaborate with geoscientists to integrate complex geoscientific data and design field programs to reduce uncertainty in exploration targets.
The Senior Data Scientist will build the analytical and modeling foundation for member experience and contact center operations. They will unify data across systems and develop predictive models to improve operational efficiency and member insights.
You will act as a data science business partner for the Ibero-America region, engaging directly with clients to design and deliver high-impact analytics solutions. Additionally, you will support commercial efforts by partnering with sales teams and mentoring regional data scientists to ensure high standards of technical delivery.
Senior Geospatial Data Scientist (Address and Geocoding)
Cotality
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Full Time
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14 Weeks Ago
Cotality
You will advance the capabilities of the flagship geocoding product by building complex parsing systems and innovating geolocation precision. Additionally, you will develop spatial validation loops and benchmark third-party geocoding services to ensure high data quality.
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Senior Data Scientist (Bodily Injury Claims)
Clara Analytics
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Full Time
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14 Weeks Ago
Clara Analytics
Architect and lead the development of a core claim clustering platform to analyze bodily injury claims across various insurance lines. Collaborate with machine learning engineers and data teams to integrate production-grade models into downstream systems like fraud detection and benchmarking.
Lead the end-to-end machine learning model lifecycle from research to production deployment and maintenance. Collaborate with product and backend teams to design scalable ML systems and mentor team members.
The Senior Data Scientist will lead the design and deployment of ML and graph-based systems for international eKYC and identity verification. They will also define global identity graph strategies and collaborate with cross-functional teams to ensure regulatory compliance and data quality.
You will design and implement machine learning and graph-based algorithms to analyze large datasets for identity verification and fraud detection. Additionally, you will build data pipelines and support senior scientists with feature engineering, model evaluation, and cross-functional communication.
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