Senior Data Scientist

Aria Intelligent Solutions; Delhi, Kolkata District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Aria Intelligent Solutions is seeking a Senior Data Scientist in Delhi/Kolkata to lead forecasting and predictive analytics initiatives. The role focuses on building, deploying, and maintaining forecasting models at scale and integrating production pipelines with business stakeholders and engineering teams.

Ideal candidates will have hands-on experience with time-series forecasting, machine learning, and model governance, along with strong Python and SQL skills.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 5–8 years of data science or analytics experience.
• Proven forecasting solutions developed for production environments.

Responsibilities

• Design, develop, and deploy forecasting models for business planning.
• Build scalable production forecasting pipelines.
• End-to-end ML solutions from data prep to deployment and monitoring.
• Apply time-series techniques for demand, sales, and supply planning.

Skills

Time Series Forecasting

Python programming

ARIMA / SARIMA

LSTM / Temporal Fusion Transformers

Model evaluation & governance

SQL

Education

Bachelor's or Master's in CS/Stats/Math/OR/Data Science

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

Role: Senior Data Scientist
Experience: 5–8 Years
Location: Delhi or Kolkata
Employment Type: Full-Time

About the Role

We are looking for a highly skilled and motivated Senior Data Scientist with strong expertise in Forecasting and Predictive Analytics to join our growing Data Science team. The ideal candidate will have hands‑on experience in developing, deploying, and maintaining forecasting models at scale and building robust production pipelines that support business‑critical forecasting use cases. The role requires a strong foundation in machine learning, time‑series forecasting, statistical modeling, and building, implementation of Production Pipelines, along with the ability to work closely with business stakeholders and engineering teams to deliver impactful solutions.

Key Responsibilities

• Design, develop, and deploy advanced forecasting models for business planning and decision‑making.
• Build and maintain scalable production‑grade forecasting pipelines.
• Develop end‑to‑end machine learning solutions, from data preparation and feature engineering to model deployment and monitoring.
• Implement and optimize time‑series forecasting techniques for demand forecasting, sales forecasting, supply chain planning, and related use cases.
• Evaluate model performance and continuously improve forecasting accuracy through experimentation and innovation.
• Collaborate with cross‑functional teams including business stakeholders, data engineers, product teams, and delivery teams.
• Automate model training, validation, deployment, and monitoring processes.
• Drive best practices in model governance, reproducibility, and productionization.
• Mentor junior data scientists and contribute to the growth of the analytics team.
• Stay updated with the latest advancements in forecasting, machine learning, and AI.

Required Skills & Qualifications

Education

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Operations Research, Data Science, Engineering, or a related quantitative discipline.

Experience

• 5–8 years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Proven experience in developing and deploying forecasting solutions in production environments.
• Experience working with large‑scale datasets and business forecasting problems.

Technical Skills

• Strong expertise in Time Series Forecasting techniques and models.
• Hands‑on experience with forecasting frameworks such as:
  • ARIMA / SARIMA
  • Prophet
  • XGBoost / LightGBM for forecasting
  • Deep Learning models (LSTM, GRU, Temporal Fusion Transformers, etc.)
• Strong programming skills in Python.
• Experience with SQL and data manipulation libraries.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with building, implementation of Production Pipelines, model deployment, CI/CD pipelines, and production monitoring.
• Familiarity with Docker, Kubernetes, and workflow orchestration tools is preferred.

Must-have: Client Exposure and Leadership

• Client exposure: Presents progress and results to client working teams.
• Leadership & management: Manages DS/JDS day to day; writes work packages.

Preferred Skills

• Experience in CPG, Retail, Supply Chain, Demand Planning, or Forecasting domains.
• Experience leading forecasting projects from conception to deployment.
• Strong problem‑solving and stakeholder management skills.
• Ability to communicate complex analytical concepts to both technical and non‑technical audiences.

What We Look For

• Deep expertise in forecasting and predictive modeling.
• Strong productionization and deployment experience.
• Excellent analytical and problem‑solving abilities.
• Ownership mindset with the ability to drive projects independently.
• Passion for innovation and applying advanced data science techniques to solve real‑world business problems.

Why Join Us?

• Opportunity to work on large‑scale forecasting and AI initiatives.
• Exposure to challenging business problems and cutting‑edge technologies.
• Collaborative and high‑impact work environment.
• Opportunity to mentor and influence the growth of the data science function.