Data Scientist

Job Description

Experience : 3.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Hybrid (Mumbai) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Ripplehire) What do you need for this opportunity? Must have skills required: Python, SQL, BI Tool Ripplehire is Looking for: 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 And 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 How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!