Data Scientist Manager

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. BCG is on a transformative journey, leveraging cutting-edge Generative AI technologies to enhance internal operations. As a Data Scientist, you will design, develop, deploy, and optimize scalable Gen AI products while maintaining and expanding your expertise. You will take technical ownership of BCG’s global Staffing applications, ensuring their performance, stability, and alignment with strategic roadmaps. Collaborating with cross-functional teams, you will drive high-quality development, document designs, and share insights across Chapters. Work as hands on contributor (IC) on the project to develop data science & Gen AI modules collaborating along with broader team builder engineering & business teams * Act as a key liaison between team members, chapter leads, and stakeholders to ensure seamless communication and project alignmentAdvanced AI, Machine Learning & Generative AI:* Design and implement cutting-edge AI as well as Generative AI models for diverse business applications * Drive adoption of machine learning and AI best practices across the organization * Apply LLM models & frameworks to build Gen AI powered features in digital solutionDevelop and deploy linear and non-linear optimization algorithms to improve operational performance * Conduct advanced data analytics to derive actionable insights for strategic decision-makingData Engineering & MLOps:Deploy scalable data pipelines using Airflow and Snowflake * Implement MLOps frameworks for efficient development, deployment, and monitoring of AI/ML models *Utilize cloud platforms such as AWS, Azure, or GCP to deploy scalable and reliable AI/ML solutions * Optimize data storage and processing workflows on Snowflake and other databases *Collaborate with stakeholders, chapter lead and product owner to define project objectives, requirements, and success metrics * Plan and execute releases, making sure all deployment and rollback steps are documented & tested, and plans are coordinated & communicated appropriately. 7+ years of experience in data Science/AI engineering roles to lead and execute advanced AI and optimization projects. You will have a deep understanding of Generative AI, machine learning, and cloud platforms, along with extensive experience in stakeholder management and strategic collaboration.   5+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions across wide variety of problems * 5+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions across wide variety of problems * Minimum 1+ years of experience in building Generative AI solutions (e.g. Strong proficiency in Python and AI/ML frameworks * Expertise in Generative AI, reinforcement learning, and optimization techniques * Proficiency in MLOps and cloud platforms (AWS, Azure, GCP)Hands-on experience with tools like Airflow, Snowflake, and data orchestration systems * Proven track record of working in data science teams and managing large functional projects * Ability to translate complex data challenges into business solutions As a data scientist in the Staffing team, you will collaborate closely with the Chapter Lead, Product Owner, and stakeholders to deliver high-quality, impactful solutions. Agile Coaches and Scrum Masters, that will ensure that you adopt agile principles, mindset and ways of working into your daily routine and who will coach you during the transformation. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.