Marketing Data Scientist
1 week ago
We're looking for a Data Scientist who's excited to work at the intersection of data, machine learning, and product development . If you thrive on experimentation, love turning messy data into insights, and want to see your models power real products in the wild, we'd love to meet you.
Build & Experiment : Develop machine learning models and data-driven features—recommendation systems, natural language processing (NLP), generative AI, and predictive analytics.
Data Engineering & Analysis : Collect, clean, and analyze structured + unstructured data to uncover insights and support product decisions.
Design experiments (A/B tests, evaluation pipelines), define success metrics, and continuously improve model performance.
Partner with product managers, designers, and engineers to ensure data and AI capabilities directly support real-world use cases.
2–6 years of experience as a Data Scientist / ML Engineer (startup or product environment a plus).
~ Strong programming skills in Python ; Experience with data pipelines and storage (SQL, NoSQL, or vector databases such as Pinecone, Weaviate, or FAISS).
~ Understanding of retrieval-augmented generation (RAG) and generative AI techniques is a plus.
~ Familiarity with MLOps, model deployment, and monitoring (Docker, Kubernetes, cloud platforms).
~ Strong analytical and communication skills—able to turn data into insights and insights into product decisions.
~ Experience with LLM evaluation frameworks or prompt engineering.
~ Familiarity with data visualization (e.g., Plotly, , Tableau).
~ Experience working in early-stage startups or venture building environments .
Build real-world AI products used across multiple ventures, not just prototypes.
Help shape the future of applied AI in India and beyond .
Send your LinkedIn profile , portfolio (GitHub, Kaggle, or projects) , and a short note about the most exciting data problem you've solved to (
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