Principal Data Scientist

Responsibilities:

• Collaborate with business stakeholders to understand and refine data-related questions and requirements
• Investigate internal and external data sources to determine availability, quality, and relevance
• Identify, collect, and analyze relevant data needed to address specific business challenges
• Propose solutions to close data gaps.
• Define data structures, formats, and transformation logic needed to support reporting and analytics.
• Leverage data science techniques to uncover trends, patterns, and correlations in large datasets.
• Apply data science techniques to automate data validation processes and enhance data integrity.
• Utilize advanced analytics to uncoverhidden insights in large datasets and provide actionable recommendations.
• Design and implement data models and algorithms to support data-driven decision making.
• Conduct thorough quality assurance checks on data to ensure accuracy and reliability.
• Present findings and insights clearly to business stakeholders.
• Stay current with emerging trends and technologies in data research, business intelligence, and data science.

Skills:

• Data science with AI/ML (scikit-learn, TensorFlow, Keras)
• Proficiency in the use of Python & SQL (programming languages) for data science related assignments
• Data mining & preparation using Python
• Data analysis and visualization using MS PowerBI& MS Excel
• Working with large-scale relational databases.
• Preferred (but not essential):- MS Azure Dev Ops, Azure cloud, AI Foundry, AI Search
• Excellent problem-solving, analytical, and critical-thinking skills.
• Strong communication & interpersonal skills
• Problem-solving mindset and good verbal, writing & presentation skills
• Educational background in Math / Statistics / Engineering / Science
• Minimum of 5 years hands-on work experience in the domain of data science & analytics (work experience in IT, software engineering, data engineering or any other areas is to be treated as extra and optional)
• Strong communication and teamwork abilities, with the ability to convey complex technical concepts to non-technical stakeholders.