Data Scientist

About the Role
Ripple Hire 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 (Tensor Flow 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 Git Hub

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