Role: Data Science
Role Objectives:
- You will supervise model/code for forecasting accuracy across multiple projects
- Various KPI calculation and ad-hoc analytics
- Understand the business/functional output needed
- Model the business scenarios to solve client problems
- Collaborate with client stake holders
- Work on productizing learnings from each project to enrich the product
- Contribute to overall solution development, Owner of the algorithms/codes to facilitate in delivering required output
- Choose the right technology platform, language for coding and data structures
Qualifications / Requirements:
- Experience - 6 to 12 years
- Experience in various statistical forecasting algorithms (Time series, ARIMA, UCM, Croston, Prophet, etc.)
- Expertise level knowledge with AL/ML (Random Forest, xgboost, Deep learning, Neural networks, etc.)
- Experience in NLP (sentiment analysis, Topic modeling, text pre-processing, word embedding)
- Expertise in optimization (like LPP, network optimization etc.)
- Hands on knowledge on Python, SQL, R, etc.
- Big data handling using tools like Spark, Hadoop, Databricks, etc.
- Understand of Supply chain analytics is preferred
- Masters/Bachelors qualification
Skillsets/ Personal Attributes:
- Positive attitude. Go getter mindset
- Highly determined and hands on approach towards his/her work
- Eager to learn new skills
- Strong analytical thinking
- Problem Solving aptitude
- Functional exposure to Supply Chain