- Analyze large, structured and unstructured datasets to extract meaningful insights
- Build, train, and optimize machine learning and statistical models
- Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)
- Develop predictive and prescriptive analytics solutions for business use cases
- Work closely with product, engineering, and leadership teams to define data strategies
- Design and implement end-to-end data pipelines and workflows
- Evaluate model performance and continuously improve accuracy and efficiency
- Present insights, trends, and findings to stakeholders in a clear and impactful manner
- Stay updated with the latest advancements in data science, AI, and machine learning
- Apply statistical analysis, machine learning, and data mining techniques
- Work with tools such as Python, R, SQL, and data visualization libraries
- Develop and deploy ML models (classification, regression, clustering, NLP, etc.)
- Handle real-world datasets with missing values, noise, and inconsistencies
- Build dashboards, reports, and analytical frameworks for decision-making
- Collaborate with cross-functional teams to translate business problems into data solutions
- Support strategic initiatives through data-backed recommendations
- Participate in technical discussions, reviews, and brainstorming sessions
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields
- Strong foundation in statistics, probability, and machine learning concepts
- Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.)
- Experience with SQL and database systems
- Hands-on experience with real-world data projects
- Strong problem-solving and analytical thinking abilities
- Excellent communication and presentation skills
- Experience with deep learning, NLP, or advanced AI models
- Familiarity with cloud platforms and big data tools
- Experience deploying models into production environments
- Prior experience working in fast-paced or startup environments
- Competitive salary package (₹25 LPA – ₹40 LPA)
- Opportunity to work on high-impact, real-world projects
- Exposure to advanced data science and AI-driven initiatives
- Collaborative and growth-oriented work culture
- Learning and upskilling opportunities
- Career growth with leadership and ownership opportunities
- Flexible work environment (based on role and project needs)
- Be part of a rapidly expanding network across India
- Work with a team that values innovation, learning, and execution
- Build solutions that create real business and societal impact
- Grow your career in a future-focused, data-driven organization
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Data Scientist - India - MetBrains Inc.
Description
Job Title: Data Scientist (Full-Time)
Location: India (Remote / Hybrid / On-site – as per project needs)
Experience Level: Mid to Senior Level
Salary Range: ₹25,00,000 – ₹40,00,000 per annum (CTC)
Employment Type: Full-Time
About MetBrains
MetBrains 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 Overview
We 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 & Responsibilities
Detailed Job Description – Data Scientist
Technical Responsibilities
Collaboration & Strategy
Required Skills & Qualifications
Preferred Qualifications (Good to Have)
Perks & Benefits at MedBrains
Why Join MetBrains?
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