Data Scientist

This role is for one of the Weekday's clients Salary range: Rs 800000 - Rs 1800000 (ie INR 8-18 LPA) Min Experience: 2 years Location: Mumbai JobType: full-time This role calls for a skilled Data Scientist with the ability to turn complex data into clear, actionable insights that drive business impact. You will be responsible for collecting, processing, and analyzing diverse datasets to support strategic decisions, build predictive models, and deliver intelligent data-driven solutions. You'll collaborate with cross-functional teams to translate business challenges into analytical solutions, leveraging your expertise in Python and SQL to design efficient workflows, automate processes, and deliver meaningful outcomes. This role offers exposure to multiple industries, allowing you to apply advanced analytical and machine learning techniques in real-world scenarios that influence strategic growth. 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