Bangalore, Karnataka, India
Information Technology
Full-Time
Re Sustainability Limited
Overview
Responsibilities
- Translate complex business problems into data science solutions and articulate the value and limitations of these solutions to non-technical stakeholders.
- Develop, deploy, and monitor predictive models, statistical analyses, and optimization algorithms.
- Work hands-on with large datasets : cleaning, transforming, and analysing to extract actionable insights.
- Collaborate with cross-functional teams, including Business, Product, Engineering, and Operations, to ensure data science outputs are actionable and aligned with strategic goals.
- Present findings and recommendations to senior leadership clearly and compellingly.
- Continuously validate and improve models based on real-world feedback and changing business needs.
- Leverage Microsoft ecosystem tools (Azure ML, Power BI, SQL Server, Excel, etc. ) extensively for data preparation, model development, deployment, and visualization.
- 5+ years of experience in data science, machine learning, or advanced analytics roles.
- Proficiency in Python for data analysis and machine learning.
- Strong working knowledge of Microsoft technologies : Azure Data Services (Azure ML, Azure Data Factory, Azure Synapse), Power BI for data visualization (optional), Microsoft SQL Server, and Azure SQL Database, Advanced Excel (Power Query, Power Pivot).
- Solid understanding of a range of machine learning techniques (classification, regression, clustering, recommendation systems, etc. ) and their real-world trade-offs.
- Strong business acumen with the ability to contextualize technical outputs into strategic business insights.
- Excellent communication skills (written and verbal) with the ability to influence decision-making.
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.
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