DATA SCIENTIST – TIME SERIES FORECASTING

Zoho; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Vrinda International is seeking a Data Scientist specializing in Time Series Forecasting to join our IT Services team. You will develop and deploy forecasting models to support demand planning and inventory optimization, converting historical data into actionable insights for decision-making.

Ideal candidates have 3–5 years of experience, strong Python and SQL skills, and hands-on work with pandas, scikit-learn, statsmodels, and deep learning tools such as LSTM/RNN.

Qualifications

• 3 to 5 years of professional experience in data science focused on time series
• Proficiency in Python and SQL for data extraction and manipulation
• Hands-on experience with pandas, scikit-learn, and statsmodels
• Experience training deep learning models (LSTM/RNN) and deploying them
• Familiarity with MLflow or similar model management tools
• Degree or certification in Data Science, Statistics, or related field

Responsibilities

• Develop and deploy time series forecasting models to predict demand and inventory metrics
• Process and analyze large datasets using Python libraries to identify patterns
• Design and implement deep learning architectures (LSTM/RNN) for temporal data
• Manage ML lifecycle including versioning, tracking, and deployment
• Collaborate with cross-functional teams to integrate forecasting into analytics platforms
• Monitor and refine models to adapt to changing market conditions

Skills

Time series forecasting

Python programming

SQL

LSTM / RNN

Education

Degree in Data Science / Statistics / related field

Tools

pandas

scikit-learn

statsmodels

MLflow

Job description

DATA SCIENTIST – TIME SERIES FORECASTING

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Job Description

Summary

We are seeking a skilled Data Scientist specializing in Time Series Forecasting to join our IT Services team. In this pivotal role, you will leverage advanced analytical techniques to predict future trends and support strategic decision-making across our supply chain and inventory operations. Your expertise will be essential in transforming complex historical data into actionable insights, directly impacting demand planning and operational efficiency within the organization.

Responsibilities

• Develop and deploy robust time series forecasting models using advanced algorithms to predict demand, inventory levels, and supply chain metrics.
  
• Utilize Python libraries such as pandas, scikit-learn, and statsmodels to clean, process, and analyze large datasets for pattern recognition.
  
• Design and implement deep learning architectures, including LSTM and RNN networks, to handle complex temporal dependencies in data.
  
• Manage the end-to-end machine learning lifecycle, ensuring model versioning, tracking, and deployment through tools like MLflow.
  
• Collaborate with cross-functional teams to integrate forecasting solutions into existing supply chain analytics platforms.
  
• Continuously evaluate model performance and refine algorithms to improve accuracy and adapt to changing market conditions.
  

Requirements

Requirements:

• Possess 3 to 5 years of professional experience in data science, with a specific focus on time series analysis and forecasting.
  
• Demonstrate proficiency in Python programming and strong knowledge of SQL for data extraction and manipulation.
  
• Have hands-on experience with key machine learning libraries including pandas, scikit-learn, and statsmodels.
  
• Show proven capability in building and training deep learning models, specifically Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN).
  
• Understand the principles of demand forecasting, inventory management, and supply chain analytics.
  
• Experience with model management tools like MLflow is highly desirable.
  
• Hold a degree or certification relevant to Data Science, Statistics, or a related quantitative field.