DATA SCIENTIST Opportunity 2025 | Ford is hiring DATA SCIENTIST. The working location is Chennai, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
DATA SCIENTIST Job Openings At Ford | Chennai – Overview
| Company Name: | Ford |
| Job Role: | DATA SCIENTIST |
| Location: | Chennai |
| Work Mode: | HYBRID |
| Last Date to Apply: | ASAP |
Job Description
- Proactively explore datasets to identify hidden patterns, emerging trends, and key insights
- Employ data mining techniques to extract relevant features from raw data, creating new variables that improve the performance of analytical models and uncover hidden patterns.
- Use segmentation and clustering algorithms to identify distinct customer groups or market segments, enabling targeted marketing campaigns and personalized customer experiences.
- Apply predictive modeling techniques to uncover patterns and trends, validate model performance, and translate complex modeling output into clear, actionable recommendations for business improvement.
- Implement rigorous data quality checks and validation processes to ensure the accuracy, completeness, and integrity of data used for analysis and reporting, maintaining the reliability of insights and recommendations.
Skills Required:
- Bachelor’s degree in Data Science, Data Analytics, Computer Science, Statistics, Economics or a related field.
- 3+ years writing complex SQL Queries, Python, R, Dynamic queries, and database objects such as Stored Procedures, Functions, Packages, and triggers as well as working with large data sets.
- 2+ years experience in Google Big Query and Google Cloud Platform.
- 1+ year experience on BI solutions using Power BI/Looker /Looker Studio/Qlik
- Experience in engaging in discussions focused on analytics implementation, customization, and automation of data collection processes.
- Excellent problem-solving and analytical skills.
- Detailed oriented with strong communication and collaboration skills.
- Ability to work independently and as part of a team.
- Must be able to manage time effectively within a complex environment, and always remain composed in the event of conflicting priorities.
Responsibility
- Proactively explore datasets to identify hidden patterns, emerging trends, and key insights
- Employ data mining techniques to extract relevant features from raw data, creating new variables that improve the performance of analytical models and uncover hidden patterns.
- Use segmentation and clustering algorithms to identify distinct customer groups or market segments, enabling targeted marketing campaigns and personalized customer experiences.
- Apply predictive modeling techniques to uncover patterns and trends, validate model performance, and translate complex modeling output into clear, actionable recommendations for business improvement.
- Implement rigorous data quality checks and validation processes to ensure the accuracy, completeness, and integrity of data used for analysis and reporting, maintaining the reliability of insights and recommendations.
