Lead Data Scientist

We are looking for a Lead Data Scientist to join our Data Science Practice in India. If you are a data scientist and looking for driving business strategy through predictive and prescriptive analytics, then let’s talk! Send your resume to careers@aretove.com

Department: Data Science

Project Location(s): India

Responsibilities

Work with stakeholders from products, merchandising, operations, customer retention to identify opportunities for leveraging in-house and third party data to drive decisions.
Processing, cleansing, and verifying the integrity of various data sets to drive insights on customer, marketing, operations, products and other business strategies.
Build predictive models to enhance customer experiences & retention, spend optimization, campaigns, supply chain and other business outcomes.
Develop processes and tools to monitor, analyze and report model performance and data accuracy.
Develop visualization/ presentations to clearly articulate and present data insights to various stakeholders

Skills/Experience

Bachelors/Masters Degree in computer science, math, engineering, analytics, or related field and five (3) years or more experience
2 -5 years of experience using statistical computer languages (R, Python, SQL) to draw insights and foresights using large and heterogeneous data sets.
Experience with machine learning techniques (clustering, supervised learning and tree based, etc.) under real-word problem statements.
Experience on statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.).
Ability to lead and mentor a team of Data Scientists.
Ability to work in a fast-paced and agile environment.

Company presentation

How Can We Help You?

Contact

I was extremely satisfied with the Financial Survey Platform built for us. Throughout the project they advised us on the technology that would fulfill our needs. It was a pleasure to work with them and highly recommend them!

Mona Naqvi

Program Manager, 2 Investing Initiatives

I am pleased to state each of our projects was delivered on time and budget. The team was quick to understand our business model and needs to build a scalable platform.