Senior Executive - Data Scientist

Job Title

Digital Transformation Lead, (Mumbai)

About Godrej Agrovet

Godrej Agrovet Limited (GAVL) is a diversified, Research & Development focused agri- business Company, dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. GAVL holds leading market positions in the different businesses in which it operates - Animal Feed, Crop Protection, Oil Palm, Dairy and Poultry and Processed Foods.

With FY ’18- ’19 Sales of 6000 Crore INR, GAVL has a pan India presence with sales of over a million tonnes annually of high quality feed and cutting-edge nutrition products for cattle, poultry, aqua feed and specialty feed. Apart from these businesses, the Company has a joint venture with the ACI group of Bangladesh for animal feed business in Bangladesh. Godrej Agrovet has 50 manufacturing facilities across India with a network of 10,000 rural distributors/dealers and over 2500 employees.

Our People Philosophy

Core to our employer brand, is the philosophy of tough love. We expect a lot from our team members, differentiate on the basis of performance and potential through career opportunities and rewards and lay particular emphasis on developing, mentoring and training. We believe that passionate, rounded individuals with diverse interests make for better Godrejites. And we understand that our team members play multi-faceted roles. This is why we encourage them, not just to explore their whole selves, but also create an enabling space for them to do so.

Watch ‘Why Godrej’ by Nadir Godrej, a video on our people philosophy.

https://www.youtube.com/watch?v=RxiHCMR64Hs&feature=emb_logo

Read more about our people philosophy here.

https://godrejcareers.com/people-philosophy.aspx

Yo

Position Summary: As a skilled Data Scientist, you will leverage your analytical skills to uncover insights from complex datasets, build predictive models, and inform data-driven decisions across the organization. You’ll work closely with cross-functional teams, including business, engineering, and product, to apply advanced statistical methods, machine learning, and domain knowledge to solve real-world problems.

Job Responsibilities

• Data Cleaning, Preprocessing & exploration: Prepare data for analysis, ensuring quality, consistency, and completeness by handling missing values, outliers, and transforming data. Explore and analyze large and complex datasets to identify patterns, trends, and anomalies
• Machine Learning Model Development: Build, train, and deploy machine learning models on the Databricks platform, leveraging tools such as MLflow for experiment with techniques like regression, classification, clustering, and time series analysis
• Model Evaluation & Deployment: Develop and select features to improve model performance, leveraging Databricks' distributed computing capabilities for efficient processing. Familiarity with CI/CD tools (e.g., Jenkins, GitLab) for automating deployment and testing of data pipelines
• Collaboration: Collaborate with data engineers, analysts, and business stakeholders to understand business requirements and translate them into data-driven solutions.
• Data Visualization and Reporting: Create visualizations and dashboards within Databricks, Power BI and other tools to communicate insights to technical and non-technical stakeholders.
• Continuous Learning: Stay up to date with the latest developments in data science, machine learning, and industry best practices to continually enhance skills and processes.
  
  

Technical Skills

• Knowledge of statistical analysis techniques, hypothesis testing, and machine learning
• Familiarity with NLP, time series analysis, and computer vision or A/B testing
• Databricks and Apache Spark: Proficiency with Databricks, Spark DataFrames and MLlib
• Programming: Proficiency in (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy) with experience in writing scalable code for large datasets
• SQL: Strong SQL skills for data extraction, manipulation, and analysis
• Familiarity with MLflow for tracking, model versioning, and reproducibility.
• Familiarity with cloud data storage and processing tools (e.g., Azure Data Lake, AWS S3).
  
  

Qualifications

• Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field
• Experience: 3+ years of experience in a data science or analytical role.
  
  

Job location: Vikhroli, Mumbai.