Data Scientist

Role: Data Science Engineer

REMOTE

Full Time

• Implement Client’s existing data science, machine learning, forecasting, and optimization models for customer use cases.
• Understand customer\-specific business requirements, data structures, and operational constraints and translate them into model configurations and technical solutions.
• Configure model parameters, business rules, and assumptions to meet customer requirements.
• Run models across customer datasets, analyze outputs, validate results, and work with Data

Science and Customer Success teams to improve solution quality.

• Make targeted enhancements to existing Python\-based models and algorithms when customer

requirements require additional functionality or logic.

• Perform scenario testing, back\-testing, model validation, and output reconciliation to ensure

results are accurate and explainable.

• Investigate data quality issues, unexpected model behavior, performance issues, and production

failures and implement appropriate fixes.

• Build and maintain automated workflows and pipelines for data processing, model execution,

validation, and delivery of model outputs.

• Develop solutions in Python for data processing, algorithm implementation, automation, and

integration with APIs, databases, files, and other enterprise systems.

• Write and optimize SQL queries for data extraction, transformation, validation, and processing.
• Work closely with Data Science, Research, Engineering, Product, and Customer Success teams to

move models from core product capabilities into successful customer implementations.

• Participate in code reviews, testing, debugging, deployment, and performance optimization.
• Continuously improve implementation frameworks so new customer deployments become

faster, more reliable, and scalable.

What We’re Looking For

• 2–4 years of experience in data science engineering, machine learning implementation, analytics engineering, or production data solutions.
• Strong proficiency in Python, with hands\-on experience using Pandas, NumPy, and common data science/ML libraries.
• Strong SQL skills for querying, transformation, validation, and analysis of large datasets.
• Experience implementing, configuring, and maintaining machine learning, forecasting,

statistical, or optimization models in production environments.

• Ability to understand an existing algorithm or model, modify its parameters or implementation,

and adapt it to new datasets and business requirements.

• Strong debugging and problem\-solving skills across data, algorithms, pipelines, APIs, databases,

and production environments.

• Experience building and maintaining automated data and model execution pipelines.
• Ability to analyze model outputs, identify anomalies, validate results against business

expectations, and communicate findings clearly.

• Experience with cloud platforms such as AWS, GCP, or Azure is a plus.
• Experience with demand forecasting, inventory optimization, supply chain planning, S\&OP,

replenishment, or operations research is a strong plus.

• Ability to work independently in a fast\-paced startup environment and balance customer

requirements with scalable product design.

• Strong communication and collaboration skills and comfort working across Data Science,

Engineering, Product, and Customer Success teams.

• BS/MS in Computer Science, Data Science, Applied Mathematics, Industrial Engineering,

Operations Research, or a related technical field.

Pay: ₹800,000\.00 \- ₹1,200,000\.00 per year

Work Location: Remote