• We curiously investigate everything and provide opportunity to solve problems analytically, creatively and collaboratively

• We believe in learn by doing and provide a space for an entrepreneurial mindset that s driven by hands-on experimentation

• We embrace resilience by seeing every challenge as a learning opportunity and invitation to grow

• We are driven by passion for product excellence for building great products with distinct customer value and apply continuous improvement and innovation

Your Responsibilities as Lead Data Scientist :

• Develop time series predictive models for a range of application areas spanning RD, Manufacturing, and Supply Chain Management.

• Work on all aspects of the analytics solution development from building efficient data pipelines to implementing leading-edge inferential methods

• Deploy scalable solutions for large datasets

• Develop high-quality code for analytics software solutions, primarily with the Python data-science stack

• Stay abreast of new developments in the field of time series modeling and forecasting, with a constant eye on how these innovations can be applied to our problems

• Work in collaboration with project management to deliver effective and timely solutions

• Participate in presenting new results and research innovations internally and externally

• Cultivate and grow ties with academia

• Mentor interns and new hires

Qualifications

• Experience using Python and data science related libraries such as pandas, NumPy, scikit-learn, seaborn, Stats-Models, Dask, PySpark

• Good knowledge of a deep learning framework (e.g. TensorFlow, keras, PyTorch)

• Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting

• Experience with SQL and relational databases and knowledge of NoSQL databases (e.g. MongoDB).

• Experience working in cloud environment Azure, Spark, Kafka or similar.

• Experience developing and deploying predictive models and machine learning algorithms into production environments is desired.

• Data engineering experience is a must

• Knowledge of and/or experience in the automotive engineering industry is a plus

• Strong time management, organizational, and communication skills

• Experience with containerizing applications using Docker

Education Experience :

• 4-7 years experience

• BE/MTech/MSc (Computer science/Mathematics/ Physics/Instrumentation)