Lead Data Scientist

Req ID [[25661]] [[Hyderabad]], India

Your Tasks

• 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 Profile

• Develop time series predictive models for a range of application areas spanning R&D, 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)

Be part of our ZF team as [[Lead Data Scientist]] and apply now!

Contact

[[Aashish]]