Data Scientist

Overview

Data Scientist

Key Responsibilities

• Data Analysis & Modeling:
• Perform in-depth exploratory data analysis (EDA) on large, complex datasets (e.g., lab throughput, MIS reports, sales performance) to identify trends, anomalies, and root causes of business challenges.
• Develop and implement statistical models (e.g., regression, time-series forecasting) to predict key business outcomes like revenue, lab volume, and operational bottlenecks.
• Process Optimization & Automation:
• Collaborate with the Lab and Production teams (e.g., Head Production Manager) to analyze and optimize operational workflows, identifying areas for automation and efficiency gains (e.g., reducing turnaround time/TAT).
• Design and build ETL processes and automated data pipelines to streamline data flow from various source systems into the centralized analytical platform.
• Reporting & Business Intelligence (BI):
• Design, develop, and maintain interactive dashboards and reports (e.g., using Power BI or Tableau) to visualize KPIs and provide real-time insights to senior management.
• Ensure the accuracy and integrity of data used for reporting, performing data validation and quality checks rigorously.
• Strategic Support:
• Translate complex analytical findings into clear, concise, and actionable recommendations for non-technical stakeholders in Finance and Sales.
• Support the Annual Business Planning (BP) process by providing data-driven projections and competitive analysis.

Required Skills & Qualifications

• Experience: 2-3 years of professional experience in a Data Analyst, Data Science, or Business Intelligence role.
• Technical Proficiency:
• Expert proficiency in SQL for querying and manipulating complex data.
• Strong programming skills in Python (Pandas, NumPy, Scikit-learn) or R for statistical analysis and modeling.
• Proven experience with Business Intelligence (BI) tools such as Power BI, Tableau, or QlikView.
• Education: Master's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.

Desired Competencies

• Experience in the diamond, jewelry, or luxury goods industry is a strong plus.
• Excellent written and verbal communication skills, including the ability to create visually effective presentations.

Job Type: Full-time

Pay: From ₹488,308.91 per year

Benefits:

• Provident Fund

Work Location: In person