Data Scientist

Description :

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The team has been managing the Data Platform and Engineering Analytics for the past 3 years. They are now looking to backfill a position to support advanced use cases involving prediction, NLP, and AI / ML, particularly around : Customer retention / Revenue generation / Subscription analytics / Churn analysis / Feature impact analysis

The role is focused on Telematics use cases for Toyota and Lexus, especially on the subscription side—understanding customer behavior during trial periods and optimizing user experience.

Skills :

5 years in Data Science

2–3 years in AI / ML

Hands-on coding (Python, SQL)

Strong AWS experience (Azure / GCP not acceptable)

Familiarity with Cloud Llama

Nice to have : TensorFlow, PyTorch, Jupyter Notebooks, SageMaker

Git, CI / CD pipeline

Soft Skills :

Ability to analyze customer behavior and feature releases

Strategic thinking for customer acquisition and retention

Capable of walking through relevant use cases

Other Preferences :

Prior Toyota experience is a plus

Onsite preferred (100%), hybrid (3–4 days) acceptable

Two rounds of interviews planned

Requirements :

What we’re looking for Skilled in forecasting and leading data science projects to leverage data to make better business decisions by delivering customer-centric insights. You will lead AI / ML efforts using an analytical mindset with critical thinking data skills

What you’ll be doing

Expertise in Machine learning and Data Science

Experience working with large datasets, finding insights, and telling stories using data.

Understanding of advance ML topics viz. Deep learning (ENN, CNN, RNN, etc.), GAN, Transformers, NLP, LLM's is a plus.

Experience with ELT, ETL processes using glue, glue brew transformations.

Experience working with automotive data sets is preferred.

Deep expertise in Data Science viz. data segmentation, churn analysis, repeat purchase, market basket, A / B testing, etc.

Qualifications / What you bring (Must Haves) – Highlight Top 3-5 skills

Work on ad-hoc data science projects

Strong technical skills in SQL, Python, R , or other programming languages commonly used in data analysis.

Working knowledge of CI / CD and MLOps. (GIT, Docker)

Good knowledge in working with distributed datastores (e.g., SQL, NoSQL ), and Big Data and Cloud technologies like GCP BQ Firebase snowflake redshift

Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, TensorFlow, torch)

Added bonus if you have (Preferred) : Understanding of model management framework and atleast 3 models as in Claude, LLAMA, Haiku, Gemma.