Data Science Specialist

Description

We are seeking an experienced Data Science Specialist to join our AI delivery team in a strategic technical leadership role. The ideal candidate will serve as a technical thought leader, driving innovation in our AI initiatives while mentoring teams and architecting complex solutions across multiple business domains. He/she will be responsible for tackling our most challenging technical problems, establishing best practices, and providing technical direction that shapes our overall AI strategy.

Primary Responsibilities

• Architect and lead the development of sophisticated machine learning solutions for our most complex and high-impact business challenges, ensuring scalability, maintainability, and business value
• Drive technical decision-making across multiple AI initiatives, providing expertise in selecting appropriate methodologies, frameworks, and approaches for different use cases

Establish technical standards and best practices for the entire data science practice, including model development, evaluation criteria, and deployment strategies

• Serve as the principal technical advisor to senior leadership on AI capabilities, limitations, and strategic opportunities
• Lead proof-of-concept initiatives for emerging AI technologies and assess their potential impact on business objectives
• Design and implement novel machine learning approaches when standard solutions prove insufficient for complex business problems
• Provide technical oversight for critical AI projects, ensuring quality, scalability, and alignment with architectural standards
• Mentor and guide senior data scientists, helping them grow their technical expertise and problem-solving capabilities
• Collaborate with enterprise architecture teams to ensure AI solutions align with broader technical strategies and standards
• Lead technical reviews and provide architectural guidance for complex AI solutions across multiple teams
• Drive research initiatives to explore cutting-edge AI techniques and their practical applications in business contexts
• Develop frameworks and methodologies for evaluating and mitigating AI risks, including bias, fairness, and ethical considerations

Experience and Skills Required

• PhD in Computer Science, Statistics, Mathematics, or a related quantitative field strongly preferred
• 10+ years of hands-on experience in applied data science and machine learning, with a proven track record of leading complex AI initiatives
• Demonstrated expertise in designing and implementing novel machine learning approaches for unique business challenges- Deep understanding of modern AI/ML architectures, including advanced neural networks, reinforcement learning, and generative AI
• Extensive experience with distributed computing, model optimization, and scaling AI solutions in production environments
• Strong background in mathematical modeling, statistical analysis, and algorithmic complexity
• Proven ability to lead technical strategy and drive innovation in data science practices
• Experience architecting end-to-end ML solutions that integrate with complex enterprise systems
• Advanced expertise in multiple programming languages (Python, R, Java, Scala) and major deep learning frameworks
• Comprehensive understanding of MLOps practices and experience designing deployment architectures
• Track record of publishing research papers or patents in machine learning or related fields
• Outstanding communication skills with ability to influence technical direction at executive levels
• Demonstrated success in mentoring senior technical staff and building high-performing teams
• Deep knowledge of AI ethics, fairness considerations, and regulatory compliance requirements
• Experience with cloud-native architectures and major cloud platforms (AWS, Azure, GCP)

This position requires an individual who can combine deep technical expertise with strategic thinking and leadership abilities to drive innovation and excellence in our AI initiatives. The successful candidate will shape the technical direction of our data science practice while solving our most challenging business problems.