Data Science Lead

10 Months ago • 4-6 Years • Data Analysis

Job Summary

Job Description

Lead a team of Data Scientists to build predictive models and analyze data for business impact. Requires 4-6 years experience in Data Analytics, forecasting, and machine learning. Expertise in SQL, R, Python, and Hadoop is essential.
Must have:
  • Data Analytics
  • Forecasting Experience
  • Machine Learning
  • SQL, R, Python
Good to have:
  • Hadoop Experience
  • Data Visualization
  • Team Management
  • Business Applications
Perks:
  • Growth Opportunities
  • Work Hard, Play Hard

Job Details

About the job

The impact that you will be making

Data Science Lead will lead a team of Data Scientists / Senior Data Scientists and help us discover the information hidden in vast amounts of data, make smarter decisions to deliver even better products. The primary focus will be in leading the application of data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.


What this role entail

  • Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting)
  • Develop and maintain robust data processing pipelines and reproducible modelling pipelines
  • Explore data and communicate insights clearly
  • Manage a team of data scientists and senior data scientists
  • Analyze experimental results, iterate and refine models to create significant business impact
  • Build analytic systems and predictive models
  • Test performance of data-driven products
  • Experiment with new models and techniques


What lands you in this role

  • At least 4-6 years of experience in Data Analytics Model development and deployment
  • Strong forecasting experience
  • Must have exposure to developing predictive analytics and machine learning algorithms for business applications
  • Good knowledge of data management and visualization techniques
  • Hands-on experience of working across SQL, R, Python, Hadoop
  • Experience of managing teams of at least 2-3 members
  • Strong organizational and leadership skills
  • Understanding and exposure to business applications and integration of analytics with businesses.
  • B Tech/BE degree in Computer Science, Data Science, Mathematics or similar field


What we offer

  • An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
  • Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
  • A flat, collegial work environment, with a work hard, play hard attitude.
  • A platform for rapid growth if you are willing to try new things without fear of failure.
  • Remuneration with best-in-class industry standards with generous health insurance cover


About Impact Analytics

Impact Analytics (Series C funded) is a proven, enterprise-grade analytics leader in AI-based retail, grocery, CPG, and supply chain SaaS solutions. Its suite of planning, forecasting, merchandising, category management, and end-to-end lifecycle pricing products empowers organizations to make data-driven decisions that transform their business for greater profitability. The company was recently ranked in the top 100 of Fortune's 2023 list of the Most Innovative Companies in America and also made The Financial Times' list of America's Fastest Growing Companies for the fourth straight year. Learn more at www.impactanalytics.co.

Some of our accolades include:

  • Ranked #72 in America’s Most Innovative Companies list in 2023 alongside companies like Microsoft, Tesla, Apple, IBM, etc
  • Ranked as one of America's fastest-growing companies by Financial Times for four consecutive years: 2020-2023
  • Ranked as one of America's fastest-growing private companies by Inc 5000 for Six consecutive years: 2018-2023
  • Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortment, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
  • Featured as one of the top 25 ML startups to watch by Forbes in 2019
  • Ranked as one of North America's fastest-growing technology companies by Deloitte for two consecutive years 2019 & 2020

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