Data Scientist
9 hours ago
About the Role
**Responsibilities**:
- 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./B.Tech. from a Tier I College (IITs/NITs/BITS) in Computer Science, Data Science, Engineering, or a related quantitative field.
- 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.
Why Join Us
- Be part of a high-impact analytics team shaping marketing and product strategy.
- Work on real-world problems with direct influence on business outcomes.
- Enjoy a remote-first work environment with flexibility and autonomy.
- Get access to mentorship, continuous learning, and growth opportunities.
Schedule:
- Monday to Friday
Work Location: Remote
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