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

• 5+ years of experience in data science, analytics, or related field
• 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

Skills Required
Machine Learning, Data Science, Power Bi, Predictive Modeling, Statistical Analysis, Data Analysis, Llm, a/b testing, Tableau, Python