Lead Data Scientist

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

 Job Responsibilities: 

• Train machine learning and deep learning models on large scale time series datasets 

• Develop end to end automated pipelines for use cases like inventory management, price recommendation, demand forecasting etc 

• Use data wrangling and exploration to extract insights and relationships from the data 

• Perform descriptive analysis and build visualizations to help customer understand what drives the business metrics 

• Identify and measure levers to help move essential metrics and make recommendations 

• Perform accuracy analysis to identify opportunities for performance improvement on specific slices of data and ensure high performance across all slices 

• Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems 

• Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes 

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Experience Required: 

• 5+ years of experience as a data scientist, applied scientist, data analyst, machine learning engineer or a related role 

• Bachelor's degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain 

• Experience working with demand forecasting, supply chain optimisation, driver analysis, time series analysis, statistical models, regression models and deep learning models 

• Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance 

• Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms 

• Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes 

• Expertise in exploratory data analysis, visualisations, ETL, hypothesis testing, experimentation, automation, etc. 

• Proficiency in Python (including packages like numpy, pandas, sklearn, pytorch, tensorflow, matplotlib), SQL and Excel 

Good to have 

• Experience working in CPG, FMCG or retail industry is a plus 

• Experience in working with Linux computing environment and use of command line tools 

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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