# Data Scientist

**Company**: Ford Motors Company
**Location**: Chennai, TN
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Automotive

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/67305?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8d6e5d0c-1d6

## Description

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.

## Responsibilities

- Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen.

- Extract, analyze, and transform data using SQL for insights.

- Apply statistical methods and develop ML models to solve business problems.

- Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments.

- Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment.

- Integrate and operationalize ML models for real-world impact.

- Monitor the performance and impact of deployed models, iterating as needed.

- Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions.

## Qualifications

- At least 3 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python.

- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics).

- Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc.).

## Technical Skills

- Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis.

- Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc.).

- Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models.

- Experience with version control systems, particularly Git.

- Nice to have: Exposure to Generative AI / Large Language Models (LLMs).

## Functional Skills

- Proven ability to understand and formulate business problem statements.

- Ability to translate Business Problem statements into data science problems.

- Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions.

- Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences.

- Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making.

## Skills

### Required
- SQL
- Python
- Machine Learning
- Statistics
- Econometrics
- Optimization
- Cloud Computing
- Git

### Nice to have
- Generative AI
- Large Language Models (LLMs)
- GCP
- AWS
- Azure

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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/67305?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)