About the Role

RippleHire is seeking a talented Data Scientist with strong foundational skills and hands-on experience in predictive modeling to join our growing team. This is an excellent chance for a mid-level professional looking to make significant impact while continuing to grow their expertise.

Key Responsibilities

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Build and implement predictive models for business problems such as customer segmentation, churn prediction, and demand forecasting

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Perform data analysis and create insights from structured and unstructured data

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Clean, preprocess, and perform feature engineering on datasets

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Evaluate model performance and iterate to improve accuracy

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Document models and analysis for technical and business stakeholders

Collaboration & Delivery

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Work with business teams to understand requirements and translate them into analytical solutions

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Create visualizations and presentations to communicate findings

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Participate in code reviews and knowledge sharing sessions

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Support deployment of models with the engineering team

Required Qualifications

Experience





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3-5 years of experience in data science, analytics, or related field

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At least 2 years of hands-on experience building predictive models

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Experience working with real business datasets and delivering analytical solutions

Technical Skills - Must Have

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Strong proficiency in Python and its data science libraries (pandas, numpy, scikit-learn)

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Good understanding of machine learning algorithms (regression, classification, clustering)

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Experience with SQL for data extraction and manipulation

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Basic statistics knowledge (hypothesis testing, probability distributions)

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Experience with data visualization (matplotlib, seaborn, or similar)

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Familiarity with Jupyter notebooks and Git

Technical Skills - Good to Have

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Experience with any cloud platform (AWS, GCP (Preferred), or Azure)

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Basic knowledge of deep learning frameworks (TensorFlow or PyTorch)

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Exposure to LLMs and pr

📌 Data Scientist (Mumbai)
🏢 RippleHire
📍 Mumbai