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Lead Data Scientist
Location:
Hyderabad, TG, IN, 500032
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]]
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R&D Engineer, Research Scientist, Computer Science, Cloud, R&D, Engineering, Science, Technology, Research