Job Description

- Lead a group of data scientists, data engineers, and software engineers, to solve exciting and meaningful problems.
- Translate business needs into analytical problems, work hands-on along with the team, judge among candidate ML models, contribute towards best practices in model development, conduct code reviews, research state-of-the art techniques and apply them for the team and business needs.
- Develop and apply analytical solutions to address real-world automotive and Quality challenges.
- Initiate and manage cross-functional projects, building relationships with business partners, and influencing decision makers.
- Ability to work well under limited supervision and use good judgment to know when to update and seek guidance from leadership.
- Communicate and present insights to business customers and executives.
- Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results.
- Explore emerging technologies and analytic solutions for use in quantitative model development.
- Develop and sustain a highly performing team.
- Ability to collaborate, negotiate, and work effectively with coworkers at all levels.
- Works with Product Line Owner on creating demand and aligning the requirements to the Business demands.

Qualifications:





- Masters degree in engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or other data-related fields
- 5+ years of domain experience in delivering analytics solutions in any of these areas (Sustainability / Regulatory, Electrification, Legal, Cycle Planning)
- 10+ years of experience in analytics domain with 3+ years of supervisory experience
- Familiarity with SQL, Spark, Hive, and other big data technologies
- Familiarity with Google Cloud Platform, Python, Spark, Dataflow, Big Query, Git Hub, Qlik Sense, CPLEX, Mach1ML, Power BI
- Demonstrated performance in working on developing analytical models and deploying them in GCP.
- Strong drive for results, sense of urgency, and attention to detail
- Strong verbal and written communication skills with the ability to present to cross functional levels of management.
- Ability to work in a fast-paced setting with global resources under short response times and changing business needs.
- Familiarity with NLP, Deep Learning, neural network architectures including CNNs, RNNs, Embeddings, Transfer Learning, and Transformers.
- BEV experience a plus
- Deep understanding of Agile & PDO processes
- Software delivery experience a plus

📌 Manager - Strategy and Enterprise Analytics (Chennai)
🏢 Ford
📍 Chennai