Data Scientist

• Leading B2B SaaS company developing a location intelligence platform to deliver hyperlocal consumer insights turning location data into business outcomes.

• Backed by VCs like 9unicorns, LetsVenture and Keyenne Ventures to name a few

• Fantastic founding team with 11+ years of experience in experience in machine learning, data analytics, & product development

• High growth company with 25 clients across retail and logistics including Sanofi, Eko Financial, Bounce, Curefit etc.

• Work directly with the founders and have an impact on the product

• Top class employee benefits including Flexible work timings, Health Insurance, ESOPS & more

• Listed as one of the Top 30 startups to watch out for in India in 2020 by Inc42

About GeoIQ:

Developing a location intelligence platform; Backed by VCs like 9unicorns, LetsVenture, and Keyenne Ventures; Listed as one of the Top 30 startups by Inc42

"GeoIQ is a product developed by data scientists for data scientists"

Founded in 2018, We are a B2B SaaS company developing a location intelligence platform leveraging location data stack and machine learning engine to deliver hyperlocal consumer insights turning location data into business outcomes.

Our product is a locational intelligence platform that tells the value of each location - people, their behaviors, businesses, and potentials - as easily consumable layers on maps. We are providing precision consumer insights on various factors, such as user behaviors & business potential with clean location data for our clients. We primarily cater to financial technology, insurance, e-commerce, and retail sectors. We have over 25 clients across retail and logistics including Sanofi, Eko Financial, Bounce, Curefit, etc.

Responsibilities:

• Work with the data engineering team in framing your data requirement and setting up the data pipelines from different source systems into a data warehouse which will feed into various analytics use cases

• Develop and implement statistical models pertaining to location intelligence and geospatial data

• Self-manage your priorities and deliverables while working in a fast-paced, startup environment

• Build and prototype analysis pipelines iteratively to provide insights at scale, on tools such as Python & R
  
  

Requirements:

• Minimum 2 years of experience with machine learning, analytics, and product development

• You are proficient in one or more data-oriented programming languages/tools (like Python & R) and database languages (e.g. SQL)

• Experience in driving the implementation of solutions, data, and algorithms on data warehouses and lakes like Azure, AWS, SQL, etc

• You have a solid foundation in computer science and strong competencies in data structures, algorithms, and software design, expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods

• You have experience in developing Machine Learning (ML) models

• Experience with working on Spatial Data will be an added advantage

What you'll get:

• All founders are friends before anything else and we consider all our teammates as part of our family

• We believe in extreme ownership, and transparent feedback, and have a bias for action. All our team members shoot above their weight!

• Flexibility: You get to design your workday around your life - we believe in outcomes and not counting hours

• Have meaningful impact: Your work will enable the use of AI-powered location intelligence technology in providing the knowledge of the 'where' for businesses

  
  

World-Class Team with the backing of Top Investors

• Devashish (Co-Founder & CEO): An IIT, Kanpur, and Imperial College of London Alumni with 5+ years of experience as an Entrepreneur. A former researcher at TWI and Sub-Editor at Cricinfo.

• Tusheet Shrivastava (Co-Founder & CTO): An IIT, Kanpur Alumni with 8+ years of experience in geospatial, digital and financial domains. Former Head of Data Science and Analytics at OnlineTyari.com and Lead Data Scientist at HT Media.

• Ankita Thakur (Co-Founder & Head of Data): Former Data Scientist at OYO Rooms with 11+ years of experience across geospatial, retail, BFSI & hospitality domains.