# Data Scientist

**Company**: Ford Motor Company
**Location**: Chennai, Tamil Nadu
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/73727?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/data-scientist-f13503cc-174/

## Description

We are seeking a hands-on Data Scientist with 5+ years of experience applying statistics, machine learning, and analytics to solve business problems.

**Job Description**

As a Data Scientist at Ford Motor Company, you will partner with business stakeholders to frame problems, define success metrics, and translate business needs into analytical and data science solutions.

**Responsibilities**

- Partner with business stakeholders to frame problems, define success metrics, and translate business needs into analytical and data science solutions.

- Perform exploratory data analysis, statistical analysis, hypothesis testing, and experimentation to identify patterns, drivers, and opportunities.

- Design, develop, evaluate, and refine machine learning and statistical models for use cases such as forecasting, classification, segmentation, and anomaly detection.

- Apply appropriate validation methods; assess model performance and limitations; and communicate uncertainty, assumptions, and trade-offs.

- Prepare, transform, and integrate structured, semi-structured, and unstructured data. Develop reusable features and analytical datasets using Python and SQL.

- Collaborate with data engineers to understand and improve data pipelines, data models, quality checks, lineage, and access patterns; contribute to pipeline development where needed.

- Partner with ML engineers and engineering teams to operationalize models, automate workflows, and monitor model performance and data drift.

- Use cloud data and analytics platforms such as BigQuery and related orchestration or processing tools to access and process data at scale.

- Create visualizations, dashboards, and narratives that translate analytical results into actionable recommendations for technical and business audiences.

- Apply reproducible development and MLOps practices, including version control, testing, documentation, and CI/CD, in collaboration with engineering teams.

- Follow data governance, privacy, security, and responsible AI practices throughout the analytics and model lifecycle.

- Explore and evaluate emerging analytical, machine learning, and generative AI techniques where they address business needs.

**Qualifications**

- Bachelor’s or master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.

- 5+ years of hands-on experience in data science, advanced analytics, applied statistics, or machine learning.

- Strong proficiency in Python and SQL for data extraction, preparation, analysis, modeling, and automation.

- Solid understanding of statistical inference, hypothesis testing, experimental design, and model validation.

- Experience developing and evaluating predictive or statistical models using libraries such as scikit-learn, statsmodels, pandas, NumPy, and SciPy, or equivalent tools.

- Working knowledge of data engineering concepts, including ETL/ELT, data pipelines, data modeling, data quality, and orchestration.

- Experience working with cloud data platforms or enterprise data ecosystems, such as Google Cloud and BigQuery, or equivalent technologies.

- Experience communicating insights using visualizations, dashboards, or presentations for business and technical stakeholders.

- Familiarity with Git, code reviews, documentation, testing, and agile delivery practices.

- Strong problem-solving, collaboration, and communication skills.

**What We Offer**

- A collaborative and innovative environment focused on using data and AI to solve enterprise challenges.

- Opportunities to work on advanced analytics, machine learning, and modern cloud data platforms.

- A chance to deliver actionable insights and scalable solutions that support Ford Motor Company’s business decisions.

- Professional development, technical upskilling, and opportunities to contribute to analytics and AI best practices.

- A competitive salary and benefits package.

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## Skills

### Required
- Python
- SQL
- statistics
- machine learning
- data engineering
- cloud data platforms
- BigQuery
- data science
- analytics

### Nice to have
- MLOps
- Spark
- Dataflow
- Dataproc
- Airflow/Cloud Composer
- Dataform
- dbt
- Looker
- Tableau
- Power BI

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Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/73727?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)