Senior Manager Data Science

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Contractual

Job Description

Company Description

ComTek Solutions (ComTek) is a CMMI Level 3 and ISO certified SAP Onsite-Offshore Managed Services company specializing in SAP implementations, managed services, and staff augmentation. Headquartered in Virginia, USA, with delivery centers in Hyderabad and Vizag, India, ComTek is focused on IT industry best practices and provides enterprise application solutions. Our team of SAP certified specialists excels at creating innovative tech solutions and outsourcing business processes, leveraging methodologies like Kanban and Agile to drive excellence while managing operational costs.


Role Description

We are seeking a highly skilled and motivated Data Scientist to join our team. This role requires a strong foundation in data science principles, hands-on experience with cloud technologies (particularly Microsoft Azure), and proficiency in machine learning, Python programming, and prompt engineering for AI/LLM applications. The ideal candidate will be passionate about leveraging data to drive insights, optimize processes, and support strategic decision-making.

 

 

Key Responsibilities:


. Design, develop, and deploy machine learning models to solve business problems and improve operational efficiency.

 

· Perform data wrangling, exploratory data analysis, and statistical modeling using Python and related libraries (e.g., Pandas, NumPy, Scikit-learn).

 

· Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.

 

· Utilize Azure services (e.g., Azure Machine Learning, Azure Data Factory, Azure Synapse Analytics) for scalable data processing and model deployment.

 

· Develop and refine prompts for large language models (LLMs) to enhance AI-driven solutions and automation.

 

· Create dashboards, reports, and visualizations to communicate findings to stakeholders.

 

· Ensure data integrity, governance, and compliance with organizational standards.

 

· Stay current with industry trends, emerging technologies, and best practices in data science and AI.

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