Job Description:About the RoleRippleHire 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 ResponsibilitiesBuild and implement predictive models for business problems such as customer segmentation, churn prediction, and demand forecastingPerform data analysis and create insights from structured and unstructured dataClean, preprocess, and perform feature engineering on datasetsEvaluate model performance and iterate to improve accuracyDocument models and analysis for technical and business stakeholdersCollaboration & DeliveryWork with business teams to understand requirements and translate them into analytical solutionsCreate visualizations and presentations to communicate findingsParticipate in code reviews and knowledge sharing sessionsSupport deployment of models with the engineering teamRequired QualificationsExperience3-5 years of experience in data science, analytics, or related fieldAt least 2 years of hands-on experience building predictive modelsExperience working with real business datasets and delivering analytical solutionsTechnical Skills - Must HaveStrong 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 manipulationBasic statistics knowledge (hypothesis testing, probability distributions)Experience with data visualization (matplotlib, seaborn, or similar)Familiarity with Jupyter notebooks and GitTechnical Skills - Good to HaveExperience with any cloud platform (AWS, GCP (Preferred), or Azure)Basic knowledge of deep learning frameworks (TensorFlow or PyTorch)Exposure to LLMs and prompt engineeringExperience with any BI tool (Tableau, Power BI)Knowledge of big data tools (Spark basics)Knowledge of Vector DatabasePreferred QualificationsBachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, or related fieldKaggle participation or personal ML projects on GitHubExperience with A/B testingBasic understanding of MLOps conceptsAny experience with NLP or time series analysisWhat Makes You a Good FitYou have successfully built and deployed at least 2-3 predictive modelsYou're comfortable working with messy, real-world dataYou can explain technical concepts to non-technical stakeholdersYou're eager to learn new technologies, especially in the AI/LLM spaceYou're detail-oriented and write clean, documented codeGrowth OpportunitiesClear path to Senior Data Scientist roleExposure to LLM projects and cutting-edge AI technologiesMentorship from senior team membersCross-functional project opportunitiesAbout Company:There is a joy in helping people build their careers and seeing them progress. There is satisfaction in helping people pay it forward. Talent acquisition and employee referrals gives us a view into the inherent goodness of humanity. We are in the business of making recruiting effortless, human and delightful. We today serve 500K+ employees in 25+ countries through our SAAS offering - RippleHire. RippleHire is a winner in Nasscom Emerge50 enterprise category, picked as a futuristic HR technology by People Matters. What pleases us the most is that our customers compete and win awards basis the change we co-create. We are building an authentic organisation. An organisation with a judgement free culture where people are free to be & do their best. This way, all your energies are focussed on helping our customers succeed and realise value. This reflects in our hiring practices (50% diversity ratio) and our Glassdoor rating (4.9). Join us if you wish to marry your skill set with impact.
