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Who We Are
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. 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. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
We Are BCG X
We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
What You'll Do
Are you passionate about developing socially and ethically responsible AI systems? Are you excited by the prospect of supporting projects that apply cutting-edge AI and GenAI models to solve real-world problems? Imagine working with the BCG Responsible AI team, where you can develop and apply innovative tools for testing and evaluating GenAI products. Your daily work would involve designing and implementing testing and evaluation frameworks to help improve product quality and ensure AI systems are safe, secure, and equitable.
Join a team dedicated to exploring creative solutions and pioneering advancements in Responsible AI. Your work will influence the development of GenAI applications, focusing on transparency, accountability, and trustworthiness. On the team, you'll collaborate with brilliant minds and make a tangible impact on shaping the future of AI, ensuring it meets the highest standards for responsibility and effectiveness. You will have the opportunity to support a wide variety of projects, spanning use cases, technologies, industries, and clients. Embrace the challenge of working at the intersection of cutting-edge technology, ethical innovation, and real-world applications.
The Responsible AI Applied Scientist plays a critical role in the BCG Responsible AI team's safety testing and red teaming efforts, working in conjunction with our AI and GenAI product teams to ensure alignment with our Responsible AI policy, principles, and standards, and to support the design, continuous improvement, and execution of the overall Responsible AI program at BCG.
The Responsible AI Applied Scientist will work with a diverse set of stakeholders to:
- Develop tools and techniques to scale and accelerate AI risk assessment and measurement across BCG and our clients
- Collaborate with product teams to influence quality and risk measurement and mitigations in AI/GenAI products through manual efforts and scalable, quantitative approaches
- Research new and emerging threats and measurement/evaluation approaches to ensure our approaches stay on the cutting-edge
- Work with small technical teams executing risk assessment and measurement on AI/GenAI products
- Train and mentor technical practitioners on measurements and evaluation approaches for GenAI products
- Remain up to date on emerging frameworks, standards, and technical approaches, and related issues by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations
What You'll Bring
- Ideal candidates will have a PhD in the social sciences field and at least 3 years of professional data science or quantitative research experience; prior professional services experience is a plus
- Ability to think critically about ethical, social, and business risks posed by AI systems
- Passion for building things and comfort working with modern data science development tools
- Experience designing and analyzing experiments using advanced statistical methods
- Experience and enthusiasm for working with Generative AI technologies
- Broad conceptual understanding of ML and AI paradigms (e.g., tree-based and gradient-boosted models, deep learning)
- Strong time management and organizational skills with the ability to prioritize and execute projects independently
- Team player mindset with an ability to work on diverse, cross-functional teams
- Strong written, verbal, and visual communication skills
- Ability to explain sophisticated data science concepts to non-technical audiences and translate analytical results into business implications
Technical Skills Must have experience:
- Design and analysis of experiments
- Statistical modeling, including hierarchical linear models
- GenAI, including prompt engineering and programmatically interacting with foundation models through APIs, e.g., OpenAI, Anthropic, HuggingFace
- Python and the open-source data science ecosystem (e.g., Jupyter, pandas, scikit-learn, statsmodels, plotly, etc.)
- Version control with git
Nice to have experience:
- Experience with quantitative social science research.
- Familiarity with software engineering practices (e.g., unit testing, CI/CD).
- Exposure to cloud platforms (AWS, Azure, GCP) or SQL databases.
- Knowledge of AI risk management frameworks (e.g., NIST AI RMF)
- Developer tools including IDEs (e.g., VSCode, Pycharm), environment management (e.g., pyenv, conda, poetry, docker)
Additional info
The first-year base compensation for this role is $115,000.
Boston Consulting Group ('BCG') is an Equal Opportunity/Affirmative Action employer. All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.In addition to your base salary, you will also be eligible for an annual discretionary performance bonus and BCG's Profit Sharing and Retirement Fund (PSRF) contribution. BCG also provides a market leading benefits package described below. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members.* That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage:* Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children* Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs* Dental coverage, including up to $5,000 (USD) in orthodontia benefits* Vision insurance with coverage for both glasses and contact lenses annually* Reimbursement for gym memberships and other fitness activities* Fully vested retirement contributions made annually, whether you contribute or not* Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years* Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement*Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage.#BCGXjob
Boston Consulting Group is an Equal Opportunity Employer. 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.
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