Data Scientist – AI

Ford Motor Company

Data Scientist responsible for end-to-end data science solutions aiming to drive business objectives. Engage with stakeholders and deploy impactful models tailored to data characteristics.

Posted 7/7/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

End-to-End Model Development: Design, execute, and deploy impactful DS projects. This includes performing Exploratory Data Analysis (EDA), feature engineering, and implementing advanced modeling techniques tailored to unique data characteristics (e.g., XGBoost, TensorFlow, or PyTorch).
Engineering & Reproducibility: Consistently deliver high-quality, reproducible code. You will implement robust error handling, conduct comprehensive model validation, and establish patterns/standards for code clarity and maintainability within a Git-based workflow.
MLOps & Deployment: Deploy models using established CI/CD pipelines and tools (e.g., MLflow, Kubeflow). You will be responsible for designing scalable deployment strategies, configuring model monitoring, alerting, and troubleshooting prediction service issues.
Cloud Operations: Implement data processing pipelines in the cloud (e.g., Spark, Dataflow) and manage ML services effectively. You will optimize cloud resources for cost-efficiency, security, and reliability.
Experimentation & Observability: Design and execute experiments (A/B tests) and create dashboards to monitor model health, feature drift, prediction distributions, and performance SLOs (Service Level Objectives).
Collaboration & Influence: Translate business needs into technical tasks and build consensus on analytical approaches. You will mentor junior team members through constructive code/methodology reviews and communicate findings effectively to varied audiences.
Documentation: Produce clear technical design documents and architectural roadmaps for data sources, transformations, assumptions, and experiments to ensure long-term scalability and maintainability.

Requirements

What you’ll need

Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related quantitative field.
Technical Mastery: Proficiency in Python/R and SQL. Advanced experience with DS libraries such as Scikit-learn, and exposure to deep learning frameworks (TensorFlow/PyTorch).
Cloud Proficiency: Hands-on experience with cloud data storage and compute (e.g., GCS, Vertex AI), build pipelines, and partnering with engineering to operationalize production-ready models.
Software Engineering: Strong understanding of Git workflows, unit testing, and advocating for quality tools/practices in Data Science workflows.
Business Acumen: Proven ability to partner with stakeholders to define data-driven strategies and quantifiably contribute to business goals via models and insights.
Communication: Demonstrating strong visualization skills and the ability to socialize model results into strategic implications for leadership, covering both technical and non-technical audiences.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Ford Motor Company Website LinkedIn All Job Openings 10,000+ employees Founded 1903 🚗 Transport 💰 Post-IPO Debt on 2023-08 Transport
Manufacturing
Sustainability Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape. Data Scientist – AI 🔥 2 minutes ago 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
End-to-End Model Development: Design, execute, and deploy impactful DS projects. This includes performing Exploratory Data Analysis (EDA), feature engineering, and implementing advanced modeling techniques tailored to unique data characteristics (e.g., XGBoost, TensorFlow, or PyTorch).
Engineering & Reproducibility: Consistently deliver high-quality, reproducible code. You will implement robust error handling, conduct comprehensive model validation, and establish patterns/standards for code clarity and maintainability within a Git-based workflow.
MLOps & Deployment: Deploy models using established CI/CD pipelines and tools (e.g., MLflow, Kubeflow). You will be responsible for designing scalable deployment strategies, configuring model monitoring, alerting, and troubleshooting prediction service issues.
Cloud Operations: Implement data processing pipelines in the cloud (e.g., Spark, Dataflow) and manage ML services effectively. You will optimize cloud resources for cost-efficiency, security, and reliability.
Experimentation & Observability: Design and execute experiments (A/B tests) and create dashboards to monitor model health, feature drift, prediction distributions, and performance SLOs (Service Level Objectives).
Collaboration & Influence: Translate business needs into technical tasks and build consensus on analytical approaches. You will mentor junior team members through constructive code/methodology reviews and communicate findings effectively to varied audiences.
Documentation: Produce clear technical design documents and architectural roadmaps for data sources, transformations, assumptions, and experiments to ensure long-term scalability and maintainability. 🎯 Requirements
Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related quantitative field.
Technical Mastery: Proficiency in Python/R and SQL. Advanced experience with DS libraries such as Scikit-learn, and exposure to deep learning frameworks (TensorFlow/PyTorch).
Cloud Proficiency: Hands-on experience with cloud data storage and compute (e.g., GCS, Vertex AI), build pipelines, and partnering with engineering to operationalize production-ready models.
Software Engineering: Strong understanding of Git workflows, unit testing, and advocating for quality tools/practices in Data Science workflows.
Business Acumen: Proven ability to partner with stakeholders to define data-driven strategies and quantifiably contribute to business goals via models and insights.
Communication: Demonstrating strong visualization skills and the ability to socialize model results into strategic implications for leadership, covering both technical and non-technical audiences. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Engineer III – Data Science 🕒 3 days ago Verizon 10,000+ employees 📡 Telecommunications 👥 B2C 🏢 Enterprise Website LinkedIn All Job Openings Engagement in data science at Verizon requires strong analytical skills and collaboration for ML applications. Focus on creating reliable insights and mentoring within global teams and big data systems. 🏢🏡 Chennai – Hybrid 🔥 Funding within the last year 💰 $2.3G Post IPO debt on 2025-08 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Lead Data Scientist – Vice President 🕒 3 days ago Citi 10,000+ employees 🏦 Banking 💸 Finance 💳 Fintech Website LinkedIn All Job Openings Lead Data Scientist driving data analytics strategy and leading multiple analytics projects. Collaborating with leadership to apply advanced statistical techniques and mentor data analysts. 🏢🏡 Chennai – Hybrid 💰 Post-IPO Equity on 2018-05 ⏰ Full Time 🟠 Senior 📊 Data Scientist Data Scientist II 🕒 June 23 Dun & Bradstreet 5001 - 10000 🤝 B2B 🏢 Enterprise 💸 Finance Website LinkedIn All Job Openings Senior Analyst supporting the Data Science team at Dun & Bradstreet in Trade and Credit Risk Analytics. Collaborating globally to fulfill timely analytics delivery. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟢 Junior 🟡 Mid-level 📊 Data Scientist Senior Lead Clinical Data Scientist 🕒 June 20 ICON plc 10,000+ employees 💊 Pharmaceuticals 🧬 Biotechnology ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Senior Lead Clinical Data Science Programmer leading and implementing innovative data science solutions for clinical trials at a global clinical research organization. Overseeing data management and compliance with industry standards. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Senior Lead Clinical Data Science Programmer 🕒 June 20 ICON plc 10,000+ employees 💊 Pharmaceuticals 🧬 Biotechnology ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Senior Lead Clinical Data Science Programmer managing clinical data science activities and leading DTS development and implementation for trial data. Ensuring compliance with external data standards and regulations. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

Exploratory Data AnalysisFeature EngineeringXGBoostTensorFlowPyTorchSQLScikit-learnGit WorkflowsUnit TestingModel Validation

Soft Skills

CommunicationMentoringCollaborationVisualization SkillsBusiness Acumen