Senior Data Scientist Machine Learning Statistical Modeling

3.0 - 5.0 years

12.0 - 17.0 Lacs P.A.

Kolkata

Posted:1 week ago| Platform: Naukri logo

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Skills Required

data sciencepythontableaupower bistatistical modelingmysqldata visualizationmachine learningsql

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role We are looking for a talented and motivated Senior Data Scientist to join our Marketing and Product Analytics team In this role, you will work closely with cross-functional teams to analyse data, build models, and generate insights that drive key decisions across our marketing and product functions This is a fantastic opportunity to apply your analytical skills in a fast-paced, data-driven environment with a strong culture of experimentation and impact Conduct deep-dive analyses to uncover insights on user behaviour, marketing performance, and product engagement. Create clear, concise dashboards and reports to communicate findings to stakeholders. Partner with product managers, marketers, and engineers to design experiments and evaluate their outcomes. Continuously identify opportunities to improve decision-making through data. Extract, clean, and transform data to ensure quality and usability across analytics initiatives. Build, validate, and deploy machine learning and statistical models to solve business problems. Required Skills Proficient in Python and SQL (MySQL or Redshift experience preferred). Experience with data visualization tools (e.g., Tableau, Power BI, or Plotly). Solid understanding of machine learning, A/B testing, customer segmentation and statistical analysis. Strong problem-solving skills and a structured approach to working with complex datasets. Excellent communication skills with the ability to present findings clearly o non-technical audiences. Highly motivated and collaborative to excel in a fast-paced remote environment. Education and Background B.E 3-5 years of experience in an analytics/data science role Prior experience in marketing/customer analytics required. Prior experience working in a consumer-tech, credit/lending or fintech environment is a plus.

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