Forecasting Data Scientist

Artech L.L.C.; Bengaluru Urban; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Artech L.L.C. in Bengaluru invites an experienced Demand Forecasting Data Scientist to lead time series forecasting,ML/DL model development, and supply chain analytics. You will work with Databricks and Python to build scalable forecasting pipelines and deliver accurate demand predictions.

The role requires 6+ years of experience, strong Python expertise, and hands-on Databricks experience, with exposure to Nixtla and MLOps practices. This is a full-time position based in Bengaluru, India.

Qualifications

• 6+ years experience as a Data Scientist focusing on demand forecasting or supply chain analytics.
• Strong hands-on experience with Python and its libraries (NumPy, Pandas, SciPy).
• Solid experience with time series forecasting techniques and real-world demand planning use cases.
• Hands-on experience with Databricks, Spark, notebooks, and distributed data processing.
• Practical exposure to machine learning and deep learning model development and deployment.
• Experience with large, complex datasets in cloud-based or big data environments.
• Familiarity with Nixtla library is a plus and knowledge of MLOps, monitoring, and CI/CD.

Responsibilities

• Design, develop, and deploy demand forecasting models using time series, ML, and DL techniques.
• Build end-to-end forecasting pipelines on Databricks leveraging distributed computing.
• Apply ARIMA/SARIMA, Prophet, XGBoost, Random Forest, LSTM/GRU, TimeGPT and hybrids.
• Evaluate and improve forecast accuracy using metrics like MAPE, wMAPE, and Bias.
• Contribute to coding best practices, model governance, documentation, and MLOps workflows.

Skills

Time Series Forecasting

Demand forecasting

Tools

Python

Databricks

NumPy

Pandas

SciPy

scikit-learn

TensorFlow

PyTorch

Prophet

ARIMA/SARIMA

XGBoost

Random Forest

LSTM

GRU

TimeGPT

MLOps

CI/CD

Nixtla

Spark

Job description

Job Title: Demand Forecasting Data Scientist

Experience: 6+ years

Location: BENGALURU, India (Full time)

Job Summary

We are seeking an experienced Demand Forecasting Data Scientist with strong expertise in time series forecasting, machine learning, and supply chain analytics. The ideal candidate will have hands-on experience working with Databricks and Python

Key Responsibilities

• Design, develop, and deploy demand forecasting models using time series, machine learning, and deep learning techniques.
• Build end-to-end forecasting pipelines on Databricks leveraging distributed computing and scalable architectures.
• Apply statistical and ML techniques such as ARIMA/SARIMA, Prophet, XGBoost, Random Forest, LSTM, GRU, TimeGPT and hybrid models.
• Evaluate and improve forecast accuracy using appropriate metrics (MAPE, wMAPE, Bias).
• Contribute to best practices in coding, model governance, documentation, and MLOps workflows.

Required Skills & Qualifications

Technical Skills

• 6 years of experience as a Data Scientist with a strong focus on demand forecasting or supply chain analytics.
• Strong hands-on experience with Python and its associated libraries:
• NumPy, Pandas, SciPy
• scikit-learn
• statsmodels
• TensorFlow / PyTorch (for DL models)
• Solid experience with Time Series Forecasting techniques and real-world demand planning use cases.
• Hands-on experience with Databricks, including Spark, notebooks, and distributed data processing.
• Practical exposure to Machine Learning and Deep Learning model development and deployment.
• Experience working with large, complex datasets in cloud-based or big data environments.
• Practical understanding of Nixtla library is a plus.
• Experience with MLOps, model monitoring, and CI/CD pipelines.

Domain Knowledge

• Strong Supply Chain domain knowledge, especially demand forecasting, inventory planning, and sales forecasting.
• Understanding of forecast lifecycle, demand variability, and business constraints.