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Are you an experienced Data Scientist with a genuine passion for discovery and problem-solving? Would you like to be part of a global customer-facing team focused on tackling complex, real-world business problems? Join a world-class community of technical leaders, highly specialized in their disciplines, working together to bring the best practices of Artificial Intelligence, Machine Learning, Engineering, and Architecture to the world’s largest enterprise customers.
The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global engineering consulting organization that supports complex and leading-edge customer engagements. We improve business performance with the power of Data & AI, developing innovative solutions and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, helping our customers build and operate ethical, transparent, and trustworthy AI solutions.
We are hiring a Senior Data Scientist with deep experience in advanced statistical data analysis, machine learning, and artificial intelligence. Our team values personal and cultural experiences, fostering a continuous learning and growth mindset, diverse viewpoints, and relentless collaboration. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact the economy and people worldwide.
Responsibilities:
- Leverage data science, AI, and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders.
- Acquire, prepare, and explore data through querying, visualization, reporting techniques, and collaboration with other teams, ensuring data integrity.
- Apply machine learning, generative AI, and statistical analysis to develop models, train, optimize, and evaluate them, communicating findings to stakeholders.
- Design and deliver machine learning solutions covering Generative AI, Agentic solutions, computer vision, speech processing, forecasting, NLP, classification, clustering, reinforcement learning, and optimization.
- Test, review, and improve models by analyzing performance, incorporating feedback, and contributing to the review process.
- Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems and production.
- Collaborate with customers and the company teams to define business needs, create roadmaps for performance improvements, and influence stakeholders using storytelling and visual tools to drive solution value.
- Uphold ethical standards by emphasizing Responsible AI principles in guiding stakeholders throughout the process.
- Focus on customer needs and perspectives to promote adoption and build trust.
- Develop and execute tailored solutions by overcoming obstacles and leveraging in-depth knowledge of best-in-class open-source technologies and company products.
- Maintain transparency about data limitations to set realistic expectations and ensure accountability.
Qualifications:
- A bachelor's degree in Data Science, Computer Science, Statistics, or a related field (master's or PhD preferred).
- Solid background in business-focused data science experience.
- Excellent skills in leading complex projects, designing scalable solutions, applying advanced techniques to solve business challenges.
- Strong coding, problem-solving, and communication skills.
- Clear understanding of the latest industry-wide developments.
- Ability to act as a role model, mentoring and growing the community.
This position will remain open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
