An exciting retail startup that promises to democratize luxury essentials by offering
them at radically lower prices. They are registered in USA & are building an innovative supply-chain model named M2C (manufacturer-to-consumer) which is going to be the future of ecommerce.
As a Lead Data Scientist, you will report to the Head of Data Science and together build company’s
Data Science function, work closely with data engineers to set up the ML & DS infrastructure, and
work on opportunities across the business functions.
As a Data Scientist, your responsibility will be to apply DS models, generate business insights, and
build end to end data products. The role requires high technical aptitude, problem-solving abilities,
motivation, intellectual curiosity, and a passion for data discovery. This is a critical role where you
will be the center of innovation and experimentation and a major contributor to the company’s
Bachelors/Masters/PhD in a quantitative field with 6-8 years of relevant work experience (3-4 years
in case of PhD); demonstrable history of driving impactful data/ML projects .
Extensive and hands on experience as a Data Scientist; competent in data science principles,
processes, and tools
Proficiency in Python (alongwith the data science libraries in Python) and in-depth understanding of
SQL; knowledge of Snowflake, SageMaker, and ML FrameworksStrong understanding of all the stages of taking a model to production - identifying appropriate data
sources, data wrangling and cleaning, feature engineering, choosing right models and algorithms,
validations techniques, version controlling, and impact measurement of production models through
rigorous A/B testing
Strong problem solving and communication skills; ability to relay outcomes and insights to senior
stakeholders for informed business decisions.