Data Scientist - Pune, India - Data Axle India

Description

About the Job

Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global centre of excellence in Pune.

This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.

Data Axle India is recognized as a Great Place to Work This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive.

General Summary:

We are looking for a Data Scientist to join our team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients.

We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients.

The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.

Roles & Responsibilities:

Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architectureaccessible and responsive code of high quality (automated build/test/deploy)participate in peer reviews and coach junior members, as needed.

ML workflow enhancements for data ingestion, model design, model inference and publish model performance results and insights to internal and external audiences.

Qualifications:

Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering).2-3 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred).Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (Statistics, ML Theory + Best Practices, NLP, Feature Engineering, Supervised and Unsupervised ML, A/B Model testing, etc.).Proficiency in Python and SQL required; knowledge of PySpark is a plus.

Familiarity with modern CI/CD methods.
Proven ability to work within a global team to deliver impactful solutions from the ground up.
Strong preference to candidates providing a well-curated GitHub/GitLab personal repo with projects to highlight your DS / ML work.

This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level.

If the above attracts you, and you feel you will make for a good fit, click on the apply button and give us a chance to know you better