Feature engineering jobs Skill: Feature engineering Staff Data Scientist New
John Deere · Remote, US+1 more $124K–$186K· Remote · Full-time · Staff
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Reddit · San Francisco, US $217K–$303K· Hybrid
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John Deere · Posted Nov 9, 2026
Remote, United States +1 more Remote Full-time · Staff $124K–$186K per year 2+ years
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Lead a sub-team of data scientists within the Technology Intelligence Proving Ground, defining technical strategy for evaluating John Deere technology suites including precision, automation, and digital products.
Urbandale, Iowa, United States Illinois, United States $123,804 - $185,700 + Benefits
Lead a sub-team of data scientists within the Technology Intelligence Proving Ground, setting priorities, assigning work, and providing day-to-day technical leadership. Define the technical strategy for how the proving ground evaluates and measures the performance of the John Deere technology suite. Design and run structured performance evaluations and benchmarks of John Deere technologies. Take vague ideas from 0 to 1: frame the problem, explore the data, build a working prototype, and carry it through to measurable business impact. Personally build models, analyses, and data pipelines that measure how John Deere technologies perform in real-world use. PhD Master of Science Bachelor's degree Nice to have: Experience at John Deere Nice to have: agriculture Flexible work arrangements Highly competitive base pay Savings & Retirement benefits (401K) Healthcare benefits with company contribution Adoption assistance MetLife · Posted Nov 6, 2026
Pune, Maharashtra, India Senior 8–10 yearsSenior Data Scientist responsible for leading data and analytics initiatives, mentoring peers, and solving complex business problems within the banking, financial services, and insurance domain.
Lead data and analytics life cycle activities Demonstrate analytical and machine learning skills Mentor junior data scientists Solve wide-ranging business problems Bachelor's degree in Computer Science, Information Technology or equivalent Accenture Infrastructure and Capital Projects, LLC · Posted Nov 9, 2026
Hyderabad, Telangana, India 3+ yearsDesign, develop, and enhance custom software solutions using modern frameworks and agile practices to meet specific business needs.
Design and develop tailored software solutions Collaborate with cross-functional teams Document software design and development processes Support junior team members 15 years full time education Prodege · Posted Sep 22, 2026
El Segundo, California, United States Senior $240K–$290K per year 6+ yearsDesign, build, deploy, and maintain production machine learning systems for a large consumer platform.
The anticipated base salary range for this position is $240,000 to $290,000.
Design, build, and operate production machine learning systems from development through deployment Develop scalable ML solutions across ranking, recommendation, personalization, rewards optimization, ROAS/LTV prediction, and experimentation Improve feature engineering, model performance, inference latency, and operational reliability Design and analyze offline evaluations and A/B experiments to validate business impact Partner with Data Engineering to build reliable data pipelines and feature sets for ML Master's degree or PhD in Machine Learning, AI, Computer Science, or a quantitative discipline Nice to have: ROAS optimization Nice to have: Bidding systems Nice to have: Rewards platforms Nice to have: Monetization models Richemont · Posted Nov 9, 2026
Paris, Île-de-France, France Internship · InternProvide client analyses and build statistical models to answer internal client questions Deploy and adapt a new recommendation algorithm using nested neural networks across all houses Improve scoring algorithms by adding new features, enhancing feature engineering, and applying MLOps best practices on Vertex AI Develop exploratory projects around GenAI and causality, studying communication impact on repurchase and automating client verbatim classification Study customer purchase behaviors and customer journey paths Magna International · Posted May 8, 2026
Ramos Arizpe, Coahuila, Mexico On-site Full-time · Mid 5+ yearsSeeking a Data Scientist to leverage advanced analytics, machine learning, and statistical modeling to optimize manufacturing processes.
Leverage advanced analytics, machine learning, and statistical modeling to optimize de manufacturing processes Build and deploy machine learning models Identify patterns, trends, and root causes in data Create dashboards and visualizations Design and implement AI data pipelines Bachelor’s degree Master’s degree PhD (preferred) Data Science Statistics Arrow Electronics, Inc. · Posted Oct 5, 2026
Ahmedabad, Maharashtra, India +2 more Full-time · Senior 4–7 yearsSenior-level engineer focused on designing, building, and deploying production-grade generative AI and agentic-AI solutions.
Ahmedabad, Maharashtra, India Indore, Madhya Pradesh, India Pune, Maharashtra, India Architect, develop, test, and deploy generative-AI solutions Design and implement agentic AI workflows and orchestration Integrate enterprise knowledge bases and external data sources via vector databases and Retrieval-Augmented Generation (RAG) Build and productionize ingestion, preprocessing, indexing, and retrieval pipelines for structured and unstructured data Implement fine-tuning, prompt engineering, evaluation metrics, A/B testing, and iterative model improvement cycles Arrow Electronics, Inc. · Posted Dec 2, 2025
Ahmedabad, Gujarat, India Full-time · Senior 5–6 yearsSenior-level engineer focused on designing, building, and deploying production-grade generative AI and agentic-AI solutions.
Architect, develop, test, and deploy generative-AI solutions Design and implement agentic AI workflows and orchestration Integrate enterprise knowledge bases and external data sources via vector databases and Retrieval-Augmented Generation Build and productionize ingestion, preprocessing, indexing, and retrieval pipelines for structured and unstructured data Implement fine-tuning, prompt engineering, evaluation metrics, A/B testing, and iterative model improvement cycles Nice to have: fine-tuning experience Nice to have: parameter-efficient tuning methods Nice to have: multimodal models Nice to have: retrieval-augmented multimodal pipelines Nice to have: agentic safety Cobalto Talent · Posted Aug 11, 2026
Monterrey, Mexico 3+ yearsData Scientist focused on Machine Learning and AI to support U.S.-based organizations across multiple industries.
Collect, clean, transform, and analyze structured and unstructured data from multiple sources. Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems. Build, validate, and deploy machine learning models for production environments. Analyze customer behavior, business performance, operational efficiency, and market trends. Collaborate with Product, Engineering, Business Intelligence, Marketing, and Executive teams to translate business problems into analytical solutions. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field. Nice to have: Master's degree in Data Science, Statistics, AI, Computer Science, or a related discipline. Nice to have: Experience supporting U.S.-based companies or global organizations. Nice to have: Experience with Generative AI, Large Language Models, Retrieval-Augmented Generation, or AI applications. Nice to have: Experience with MLOps, model deployment, and production environments. Reddit · Posted Nov 5, 2026
San Francisco, California, United States Hybrid $217K–$303K per year 2+ yearsDesign, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization.
The base pay range for this position is: $216,700.00 - $303,400.00 USD
Design, build, and deploy industrial-level machine learning models Take full ownership of the ML lifecycle Perform systematic feature engineering Build robust monitoring, alerting, and automated retraining pipelines Research new algorithms and stay up-to-date with state-of-the-art ML techniques Master’s degree in Computer Science, Robotics, Engineering (any field), or a related quantitative discipline Nice to have: PII Data handling Nice to have: Kafka Infrastructure Nice to have: Data governance Nice to have: Batch data pipeline
Medical Dental Vision STD LTD
Nice to have: fine-tuning Nice to have: parameter-efficient tuning Nice to have: multimodal models Nice to have: retrieval-augmented multimodal pipelines Nice to have: agentic safety
Comprehensive Healthcare Benefits Income Replacement Programs 401k with Employer Match Global Benefit programs Family Planning Support