WHAT YOU'LL DO
As part of the Digital product organization of BCG you will pioneer boundaries in technology and innovation. You will play a pivotal role in harnessing the power of data, analytics and data science to drive strategic decisions, fostering innovation, and providing powerful insights to steer the company towards success. Positioned at the heart of our global operations, you will be part of a dynamic team in the pursuit of analytical excellence, turning complex data into actionable insights that shape BCG's future.
As a Global Data Scientist Senior Manager at BCG, you will play a crucial role in leading digital innovation and building analytical solutions and products that empower BCG leadership to make strategic, data-driven decisions. This role will be hosted in AI Center of Excellence and individual will be embedded within the Global Business Intelligence & Analytics team, you will collaborate closely with product owners and stakeholders to creatively solve BCG's most challenging problems, bringing to life business-critical analytics at scale. The ideal candidate will have outstanding hands-on experience, exceptional collaborative spirit, excellent leadership and communication skills, a detail-oriented and can-do mindset, and robust understanding of business matters.
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YOU'RE GOOD AT
Develop and oversee data science projects, from ideation to deployment, ensuring they deliver impactful insights
Own end-to-end design, development & deployment of machine learning solutions at scale to deliver high-quality outcomes
Share expertise and perspectives on alternate approaches & tools to improve end solution
Collaborate closely with data engineers, product owners and analysts to create and operationalize data pipelines, ensuring compliance with data governance and security requirements
Partner with data analysts to produce dashboards and reports that translate data into actionable business decisions
Mentor and guide junior data scientists/analysts on the project to deliver desired outcomes
Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of data-driven insights into business strategies
YOU BRING (EXPERIENCE & QUALIFICATIONS)
7-10+ years of relevant hands-on experience in owning & building data science solutions within a dynamic analytics or AI environment
Demonstrated problem-solving skills with a track record of innovative solutions to complex data science challenges
Advanced proficiency in Python and SQL for data science applications
Proven ability to work with large datasets and deploy AI/ML solutions through automated data pipelines
Strong technical expertise in Statistics & Machine Learning e.g. time series techniques, boosted trees, neural networks, clustering techniques
Experience in applying MLOps principles to deploy, monitor and enhance AI/ML models
Experience with variety of Python libraries e.g. Pandas, Scikit-learn, TensorFlow
Experience in deploying solutions on a cloud platform - AWS (preferred), Azure, GCP
Expertise in container technologies - Docker, Kubernetes
Proficiency with workflow orchestration tools like Apache Airflow to design, schedule and monitor data processing pipelines
Experience on any visualization tool - Tableau (preferred), PowerBI, Spotfire
YOU'LL WORK WITH
Our data analytics and artifical intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data.
ADDITIONAL INFORMATION
Communication, interpersonal and teaming skills
Excellent communication skills, with the ability to explain complex technical concepts to various audiences
Experience working in a fast-paced global company, with a diverse team of both technical and functional backgrounds located in multiple time zones
Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization
Strong leadership skills, with experience in managing junior data scientists to promote a collaborative and innovative team culture