Data Scientist

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

• Clear path to Senior Data Scientist role

• Exposure to LLM projects and cutting-edge AI technologies

• Mentorship from senior team members

• Cross-functional project opportunities