GeoIQ - Data Scientist

Data Scientist

About GeoIQ.io :

GeoIQ.io empowers everyone, from business analysts to data scientists, to turn location data into business outcomes. Our SaaS platform and APIs offer insights on where things happen, why they happen and helps predict what will happen in the future. We accelerate innovation, find efficiencies, power new use cases, and disrupt business models through the use of location intelligence. In a short period of 2 years, we have become the de-facto provider of external data for many of India's biggest companies.

GeoIQ has been listed as one of the Top 30 startups to watch out for in India in 2020 by Inc42. (https://www.linkedin.com/posts/inc42_startups-startup-artificialintelligence-activity-668914269126508544 0-f0MI)

About the job :

Data is now more important than ever and the information distilled from it is crucial to take meaningful decisions. GeoIQ is a product developed by data scientists for data scientists. We obtain, visualize, and analyze data from heterogeneous sources to build smarter variables that aid decision making.

As a part of the data science team, you will be responsible for building predictive models and day to day analysis for our clients, building algorithms on the data collected from hundreds of sources to build location defining attributes.

About the team :

We are a lean team of 15 members. The founding team comes with a plethora of experience in machine learning, data analytics, & product development.

About you :

We are continuously adapting to the market and technology. So we expect you to be able to follow suit and be eager to learn new things. This is probably your most important skill, so don't worry if you don't know all the technologies we work with, you'll pick them up as you go.

Expectations :

- Proficient in R and Python

- Work experience 3+ years

- Prior experience with building ML models

- Prior experience with SQL

- Knowledge of statistical techniques

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

Our offer :

- Competitive, results-based compensation

- Access to our employee stock options plan

- Flexible work hours in a focused but casual environment