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1 - 3 years

4 - 6 Lacs

Posted:7 hours ago| Platform: GlassDoor logo

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On-site

Job Type

Full Time

Job Description

We are seeking a motivated Data Scientist with a strong foundation in statistics and 1-3 years of relevant experience to join our dynamic team. As a key member of our data analytics group, you will assist in analysing data, developing models, and deriving insights to drive strategic decision-making. Key Responsibilities: Analyse large datasets to identify trends, patterns, and insights. Apply statistical methods to solve business problems and inform decision-making. Develop predictive models using machine learning techniques. Assist in data cleaning, preparation, and exploratory data analysis. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends in data science, statistical methodologies, and large language models (LLMs). Qualifications: Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, or a related field. Minimum 1-3 years of experience in data analysis, statistical modelling, or machine learning projects. Strong understanding of statistical concepts and methodologies. Familiarity with programming languages such as Python or R. Basic knowledge of large language models (LLMs) and their applications. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Basic knowledge of machine learning algorithms and techniques. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. What We Offer: Opportunity to work on real-world data science projects. Mentorship and training from experienced data scientists. A collaborative and innovative work environment. Opportunities for professional growth and development. Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹50,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Morning shift Work Location: In person

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