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Develops and validates ML models to solve business problems, analyzes large datasets for trends, and collaborates with teams to implement high-impact analytical solutions using Python and Spark.
The role involves developing and deploying AI/ML models (MLOps Engineer) and extracting insights from data (Data Scientist) for Akkodis’ global tech/engineering projects, focusing on Python, Kubernetes, and data pipelines.
Data Scientist designing and improving data pipelines, validating data with engineers, building internal data tools, and leveraging AI to accelerate analytics at Bending Spoons in Spain.
Build and deploy ML models to predict credit risk for Carvana’s auto loans, using structured and unstructured data to improve decision accuracy and scalability.
Leads data-driven strategy for private equity clients, blending analytics and business insight to identify growth opportunities and shape high-impact decisions using Python, R, and SQL.
VP of Data Science owning the methodology behind Attain's ad-tech measurement products—causal inference, attribution, media mix modeling—defending those methods to clients and partners while leading a team of data scientists.
Data Science/ML intern supporting the development, evaluation, and maintenance of machine learning models using Python and JavaScript at a solar energy company.
Build LLM-driven data pipelines, knowledge graphs, AI agents, and analytical tools as a Data Science Engineer at a national laboratory.
ML Production Data Scientist designing and maintaining ML pipelines, deploying models to production, and collaborating with data engineers at a large media company, using Python and cloud technologies.
Develops AI/ML models and data solutions to explore business use cases, build POCs, and guide tech decisions for scalable deployment in a cross-functional IT team.
Manages end-to-end data projects, designs pipelines, and interprets blockchain data to drive actionable insights. Core tech: blockchain data systems and analysis.
Lead a Paris scale-up's data department, managing Data Engineers and Data Scientists, defining the data roadmap, and ensuring governance, security, and cost control while collaborating across Product, Engineering, and Business teams.
Leads applied AI/data science practice to build, evaluate, and deploy models for IFS Copperleaf’s AI products, focusing on explainable, defensible decisioning. Owns model lifecycle, MLOps, and AI governance while mentoring teams and shaping technical standards for forecasting, LLM tuning, and agentic systems.
Senior Data Scientist specializing in computational biology to analyze multimodal biological data (omics, imaging) for drug discovery, target identification, and biomarker development using ML and statistical rigor.
Design and build data pipelines, quality frameworks, and tooling that turn multi-modal surgical robotics data into research-ready datasets for AI/ML teams, using Python, SQL, and distributed processing frameworks like Spark and Airflow.
Salary Range: $100,999 - $134,665 Close Date: 9/4/2026 at 3:00 pm CT Relocation: No About Us Oncor Electric Delivery Company LLC, headquartered in Dallas, is a regulated electricity transmission and distribution…
Design and deploy AI/ML models—including generative AI and agentic systems—on the C3 AI Platform for enterprise clients in a client-facing, travel-required role.
Summary: Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry.…
WSH Experts Pte Ltd is seeking a data scientist/analyst to perform data analysis, build predictive models, and generate actionable insights from large datasets. The role includes creating dashboards in AWS QuickSight…
Data Scientist/ML Engineer responsible for the full data lifecycle—designing, training, and deploying machine learning models in production environments using Python, SQL, and ML frameworks.
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