About the Role

We are looking for an experienced, analytical, and research-oriented professional to solve complex, real-world business problems using Data Science, Statistics, AI, and Automation. In this role, you will move beyond basic data analysis to architect statistical models, deploy predictive analytics, and drive high-impact, data-driven business decisions.

Key Responsibilities∙

Data Insights: Architect robust data pipelines to collect, clean, validate, and analyze vast datasets, translating them into actionable strategic insights.

∙Advanced Modeling: Apply complex statistical and machine learning techniques, including exploratory data analysis, hypothesis testing, regression, forecasting, classification, and clustering.

∙R&D; and Innovation: Research evolving AI methodologies, GenAI, and automation solutions to find innovative opportunities for business and process improvements.

∙Tool & Workflow Development: Design and deploy production-grade dashboards, analytical scripts, automation workflows, and internal tools using Python, SQL, APIs, and Generative AI frameworks.

∙End-to-End Ownership: Identify operational bottlenecks, define project requirements, and own data science projects from initial research through deployment and continuous iteration.

∙Stakeholder Communication: Translate complex technical models and analytical findings into clear, compelling narratives, reports,



and presentations for leadership and non-technical stakeholders.

Minimum Qualifications Education: M.Sc., M.Tech., M.E, or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, AI/ML, Operations Research, or related fields.

Experience: 2–3 years of core professional experience working as a Data Scientist, Data Analyst, or Statistical Modeler.

Technical Skills: Advanced proficiency in Python, SQL, and R (specifically for statistical computing). Proven experience deploying Machine Learning models and building advanced Data Visualizations. Deep conceptual and practical understanding of Statistics, Probability, and Predictive Modeling.

Target Background: Degree from reputed institutions (e.g., IIT Gandhinagar, IIT Bombay, Dhirubhai Ambani University, SVNIT, Nirma, PDEU, IIIT Vadodara/Surat, MS University, LD College, BVM, CHARUSAT, Ahmedabad University) or comparable premier institutes.

Soft Skills: Strong project management abilities, a proactive problem-solving mindset, and excellent verbal/written communication skills.

Pay: ₹607,000.00 - ₹1,990,000.00 per year

Perks:

- Provident Fund

Application Question(s):

- What is your current CTC & Notice period?

Experience:

- Data science: 4 years (Preferred)
- Python: 4 years (Preferred)

Work Location: In person

📌 Data Scientist (Mumbai)
🏢 Dinero Solutions
📍 Mumbai