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Lowes Services India Private limited
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Data Scientist_ML Ops, Pricing

Data Scientist_ML Ops, Pricing

Lowes Services India Private limited

4 - 8 years

7 - 11 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

supply chain gcp business analytics analytical demand forecasting machine learning forecasting sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modelling; Time Series and Demand Forecasting, Optimization, Linear and non linear curve fitting, Price Elasticity, feature engineering, model development and management, production deployment of the models, scalability of systems and measurement in the realm of price optimization, dynamic pricing and promotion analytics. A MLE solves complex problems that require deploying models at scale.

Roles and Responsibilities:

Provide advanced analytical capabilities to support data science and machine learning initiatives across key business domains.
Design, develop, and deploy predictive models for applications such as time series forecasting, demand prediction, optimization, price elasticity, and promotion analytics.
Perform feature engineering, model development, validation, and performance monitoring to ensure accuracy and business relevance.
Implement scalable machine learning solutions using Python, PySpark, and distributed computing environments.
Deploy models at scale using GCP (AI Vertex), Kubernetes, Docker containers, and APIs (FastAPI/Flask).
Orchestrate and automate ML pipelines using Airflow and MLOps frameworks.
Manage model lifecycle through MLFlow or similar tools to ensure robust model goverce and reproducibility.
Collaborate with cross-functional teams to integrate models into production systems and measure their impact.
Optimize model performance, scalability, and efficiency for real-time or batch inference.
Stay current with emerging trends in AI/ML, cloud technologies, and pricing optimization methodologies.

Required Minimum Qualifications:

Bachelors Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4-8 years of experience in Predictive Analytics, Machine learning and Statistical modelling with Python, SQL AND GCP or any other cloud data technologies
OR
Masters Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 3-7 years of experience in Predictive Analytics, Machine learning and Statistical modelling with Python, SQL AND GCP or any other cloud data technologies.
OR
Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2-5 year of experience in Predictive Analytics, Machine learning and Statistical modelling with Python, SQL AND GCP or any other cloud data technologies.

Primary Skills (must have):

2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting
1 year of SQL and programming experience
Bachelors degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field (or equivalent work experience in lieu of degree)

Secondary Skills:

1 year of experience using multiple data systems and sources
1 year of experience working with cross-functional partners
Masters degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field

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Data Scientist_ML Ops, Pricing