Live opening · Posted 3 days ago

Senior Data Scientist – AI/ML & Advanced Analytics

PeopleScout · Bengaluru, Karnataka, India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyPeopleScout
LocationBengaluru, Karnataka, India (Remote)
Work modeYes
SourceLinkedin
Listed3 days ago

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About the role

Description supplied by the original job listing.

We are looking for an experienced Senior Data Scientist to drive advanced analytics, Machine Learning and AI solutions across business functions. The role will involve building end-to-end data science solutions, translating complex business problems into analytical models, and partnering with senior stakeholders to deliver measurable business outcomes.
Roles & Responsibilities
Lead the design, development, deployment and maintenance of Machine Learning and AI solutions for complex business problems.
Develop predictive and prescriptive analytics models covering forecasting, anomaly detection, optimization and decision support.
Build end-to-end Data Science solutions using Python, SQL and Machine Learning frameworks.
Work with large and complex datasets to perform data exploration, feature engineering, statistical analysis and model development.
Develop forecasting and time-series models for demand, sales, inventory, capacity and other business scenarios.
Apply Machine Learning and advanced analytics to areas such as Supply Chain, Demand Planning, Logistics, Warehousing, Sales and Distribution.
Develop and integrate optimization models for areas such as inventory optimization, transportation, network planning, capacity planning and order allocation.
Explore and implement Generative AI, LLM, RAG and Agentic AI solutions where relevant to business use cases.
Work with platforms such as Snowflake, Databricks and Azure ML/Azure AI to develop and operationalize analytical solutions.
Build and maintain ML pipelines, model deployment, monitoring and MLOps processes.
Implement development best practices including Git, CI/CD, automated testing and Azure DevOps.
Create business dashboards and visualizations using Power BI, Tableau or similar BI tools to communicate analytical insights.
Partner with business leaders and stakeholders to understand requirements, define analytical approaches and translate results into actionable recommendations.
Present complex analytical findings and model outputs clearly to senior and executive stakeholders.
Ensure appropriate data, model and AI governance, security, monitoring and documentation.
Mentor junior Data Scientists and contribute to the development of Data Science best practices across the organization.

Work arrangement
Yes

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