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Job Title: Data Scientist (Full-Time)Location: India (Remote / Hybrid / On-site – as per project needs)Experience Level: Mid to Senior LevelSalary Range: ₹25,00,000 – ₹40,00,000 per annum (CTC)Employment Type: Full-TimeAbout MetBrainsMetBrains is a fast-growing education and technology-driven platform expanding its network across India. We focus on practical, industry-aligned learning, data-driven decision-making, and real-world problem solving across domains like technology, analytics, and applied research.As part of our expansion, MetBrains is looking to hire an enthusiastic and skilled Data Scientist who is passionate about data, analytics, and building scalable, intelligent solutions. This role offers an opportunity to work on meaningful datasets, advanced models, and business-impacting problems in a high-growth environment.Job OverviewWe are seeking a Data Scientist who can work full-time with MedBrains and play a key role in transforming data into actionable insights. The ideal candidate should have strong analytical skills, hands-on experience with data modeling, and the ability to collaborate across teams to drive product, business, and research outcomes.The final compensation will be determined based on interview performance, technical depth, and problem-solving capability, within the salary range of ₹25 LPA to ₹40 LPA.Roles & ResponsibilitiesAnalyze large, structured and unstructured datasets to extract meaningful insightsBuild, train, and optimize machine learning and statistical modelsPerform data preprocessing, feature engineering, and exploratory data analysis (EDA)Develop predictive and prescriptive analytics solutions for business use casesWork closely with product, engineering, and leadership teams to define data strategiesDesign and implement end-to-end data pipelines and workflowsEvaluate model performance and continuously improve accuracy and efficiencyPresent insights, trends, and findings to stakeholders in a clear and impactful mannerStay updated with the latest advancements in data science, AI, and machine learningDetailed Job Description – Data ScientistTechnical ResponsibilitiesApply statistical analysis, machine learning, and data mining techniquesWork with tools such as Python, R, SQL, and data visualization librariesDevelop and deploy ML models (classification, regression, clustering, NLP, etc.)Handle real-world datasets with missing values, noise, and inconsistenciesBuild dashboards, reports, and analytical frameworks for decision-makingCollaboration & StrategyCollaborate with cross-functional teams to translate business problems into data solutionsSupport strategic initiatives through data-backed recommendationsParticipate in technical discussions, reviews, and brainstorming sessionsRequired Skills & QualificationsBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related fieldsStrong foundation in statistics, probability, and machine learning conceptsProficiency in Python (NumPy, Pandas, Scikit-learn, etc.)Experience with SQL and database systemsHands-on experience with real-world data projectsStrong problem-solving and analytical thinking abilitiesExcellent communication and presentation skillsPreferred Qualifications (Good to Have)Experience with deep learning, NLP, or advanced AI modelsFamiliarity with cloud platforms and big data toolsExperience deploying models into production environmentsPrior experience working in fast-paced or startup environmentsPerks & Benefits at MedBrainsCompetitive salary package (₹25 LPA – ₹40 LPA)Opportunity to work on high-impact, real-world projectsExposure to advanced data science and AI-driven initiativesCollaborative and growth-oriented work cultureLearning and upskilling opportunitiesCareer growth with leadership and ownership opportunitiesFlexible work environment (based on role and project needs)Why Join MetBrains?Be part of a rapidly expanding network across IndiaWork with a team that values innovation, learning, and executionBuild solutions that create real business and societal impactGrow your career in a future-focused, data-driven organization