Data Scientist

This role is for one of the Weekday's clients

Salary range: Rs 800000 - Rs 1800000 (ie INR 8-18 LPA)

Data Scientist

Python

SQL

Requirements

Key Responsibilities

• Perform detailed data exploration, cleaning, and transformation to identify key insights and trends
• Develop and implement machine learning and statistical models that solve business challenges effectively
• Use SQL to extract, manipulate, and validate large-scale data from various sources with high accuracy
• Employ Python to automate data processes, create analytical scripts, and build predictive modeling pipelines
• Design visual dashboards and reports that communicate insights clearly through platforms like Tableau, Power BI, or Matplotlib
• Collaborate with business, engineering, and domain experts to design data-driven solutions aligned with organizational objectives
• Continuously refine analytical methods, improve model accuracy, and enhance overall system performance
• Maintain documentation for data models, code workflows, and analytical approaches to ensure clarity and reproducibility
  

What Makes You a Great Fit

• Analytical Mindset: You're naturally curious, love solving problems, and can connect data patterns to real business outcomes
• Technical Strength: You bring solid hands-on experience with Python for data analysis, modeling, and machine learning
• SQL Expertise: Skilled at writing optimized queries for complex data manipulation and ETL processes
• Statistical Proficiency: Strong understanding of regression, hypothesis testing, classification, and clustering methods
• Machine Learning Skills: Comfortable working with algorithms like decision trees, random forests, and neural networks
• Data Storytelling: Adept at translating technical results into clear insights that guide strategic decision-making
• Collaboration & Communication: You can work across teams and clearly communicate technical findings to non-technical audiences
• Adaptability: Thrive in fast-paced, data-centric environments and enjoy working on varied analytical projects