Role description

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 opportunity for a mid-level professional looking to make significant impact while continuing to grow their expertise.

Key Responsibilities

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

- Perform data analysis and create insights from structured and unstructured data

- Clean, preprocess, and perform feature engineering on datasets

- Evaluate model performance and iterate to improve accuracy

- Document models and analysis for technical and business stakeholders

Collaboration & Delivery

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

- Create visualizations and presentations to communicate findings

- Participate in code reviews and knowledge sharing sessions

- Support deployment of models with the engineering team

Required Qualifications

Experience

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

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

- Experience working with real business datasets and delivering analytical solutions

Technical Skills - Must Have

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

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





- Experience with SQL for data extraction and manipulation

- Basic statistics knowledge (hypothesis testing, probability distributions)

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

- Familiarity with Jupyter notebooks and Git

Technical Skills - Good to Have

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

- Basic knowledge of deep learning frameworks (TensorFlow or PyTorch)

- Exposure to LLMs and prompt engineering

- Experience with any BI tool (Tableau, Power BI)

- Knowledge of big data tools (Spark basics)

- Knowledge of Vector Database

Preferred Qualifications

- Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, or related field

- Kaggle participation or personal ML projects on GitHub

- Experience with A/B testing

- Basic understanding of MLOps concepts

- Any experience with NLP or time series analysis

What Makes You a Good Fit

- You have successfully built and deployed at least 2-3 predictive models

- You're comfortable working with messy, real-world data

- You can explain technical concepts to non-technical stakeholders

- You're eager to learn new technologies, especially in the AI/LLM space

- You're detail-oriented and write clean, documented code

Growth Opportunities

- Transparent path to Senior Data Scientist role

- Exposure to LLM projects and cutting-edge AI technologies

- Mentorship from senior team members

- Cross-functional project opportunities

📌 Data Scientist (India)
🏢 RippleHire
📍 India