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, BigQuery, GitHub, 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 environment 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
Skills Required
Data Science, Data Analysis, Cloud Security, Gcp, Networking, Logistics, Data Modeling, Sql