Description & Requirements
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor Best Place to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
WHO YOU'LL WORK WITH
About the Commercial Excellence practice
Bain's B2B Commercial Excellence practice works with clients to develop a clear go-to-market (GTM) strategy: building an in-depth understanding of market opportunity, designing effective sales coverage and capacity models to attack that opportunity, and creating an industrialized sales execution capability to ensure commercial success. Coro's software and data solutions are an innovative and increasingly critical part of this approach. To learn more about Coro, visit https://www.coro.io/.
WHERE YOU'LL FIT WITHIN THE TEAM
About Coro℠
The Coro℠ business unit brings together Bain's proprietary suite of software-as-a-service (SaaS) and data-as-a-service (DaaS) tools, including cloud-based software, online capability assessments, and advanced analytics, focused on enabling Commercial Excellence for B2B companies.
The Impact You'll Have
Bain's Commercial Excellence work helps B2B companies turn market opportunity into booked revenue, through sharper go-to-market strategy, better sales coverage and capacity, and industrialized execution. The analytics underneath that work are what make it credible, and they are what you will own.
We are hiring an Expert Senior Manager, Data Science, to lead data science delivery and methodology across Coro's product suite. You will set the analytical approach on our most complex client engagements, lead the teams that deliver them, and make the calls on modeling design, validation, and where a bespoke analysis should become a productized capability. This is a senior, client-facing role: you will work directly with Bain partners and client executives, and you will be the person expected to defend the methodology in the room.
These capabilities power Coro's product suite, such as MoneyMap®, which builds a granular, bottoms-up view of market opportunity, and the repeatable analytics workflows behind Bain's B2B go-to-market work, across challenges such as opportunity mapping, indirect channel growth, and profitability analysis. The work spans propensity and predictive scoring, TAM and market sizing, entity resolution and data matching across third-party sources, and GenAI-driven classification and enrichment at scale. The role also includes ownership of the analytics and delivery of our pricing products, including ProfitCube.
You will also help build the capability itself, through recruiting, coaching, and raising the standard of how the team works, in keeping with Bain's apprenticeship model. You will have opportunities to work with major AI ecosystem partners through Bain's partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in commercial settings.
WHAT YOU'LL DO
As a senior member of the Coro data science team, you will:
- Lead the delivery of Coro data science solutions across multiple concurrent client engagements, owning scope, methodology, quality and pace, and stepping in personally where the analytical problem warrants it
- Collaborate closely with and influence Bain case teams, partners and senior client executives, framing commercial problems and translating them into analytical approaches and clear business recommendations
- Develop and deploy production machine learning and analytical models that drive Coro solutions, including propensity and predictive scoring, TAM and market opportunity sizing, customer segmentation, entity resolution and data matching, and enrichment pipelines built on third-party data sources
- Own the analytics and delivery of Coro's pricing products, including ProfitCube
- Own the technical direction for GenAI-enabled analytical workflows, including LLM-based classification, enrichment and validation, and set the standards the team applies to prompt design, evaluation and output quality assurance
- Develop Coro intellectual property and identify new opportunities for data science to extend the product suite, ensuring that repeatable analyses become re-usable frameworks, models and components rather than one-off case work
- Work with Coro product managers and practice leadership to shape the roadmap, prioritize analytical features, and design the optimal approach to product delivery
- Act as an expert advisor in proposal, pre-sales and pitch discussions, scoping the analytical approach, sizing the work, and supporting commercial conversations with clients
- Lead and develop on-shore and off-shore delivery teams, providing coaching on problem-solving, work planning and data science techniques, and engaging constructively in the mutual feedback process
- Keep abreast of new and current data science techniques and technologies, and assess where they create real advantage for our clients and our products
- Share learnings and drive adoption of best demonstrated practices across the Coro and wider data science community, and work together to create a great working environment that attracts other great data scientists
- Lead recruiting and onboarding of team members as needed, and identify opportunities to support the growth and scaling of the Coro business unit
ABOUT YOU
This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office. Willingness to travel to client locations (expected 20-40%, potential peak of 60%).
We are looking for someone who has:
- Advanced degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics
- 8-10 years of experience in analytics
- 3+ years of experience managing data scientists
- Shipped production, enterprise scale data products
- Track record of leading and collaborating on strategic initiatives, and of owning client relationships or workstreams end to end
- Experience in B2B commercial or go-to-market analytics
- Strong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from other disciplines
- Solid fundamental knowledge of supervised and unsupervised machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, sequence modeling, NLP/NLU, word and document embeddings, self-attention and transformers
- Experience with entity resolution, fuzzy matching and deduplication across disparate third-party data sources
- Experience with large language models, generative AI applications and prompt engineering for data classification, enrichment and analysis
- Experience with MLOps, including scalable development to deployment of complex data science workflows
- Experience with model explainability and interpretability techniques
- Proficiency in Python and SQL required
- Experience in machine learning frameworks and tools (e.g. scikit-learn, XGBoost, pandas, NumPy) required
- Experience with ETL processes, data pipeline development and relational databases at scale
- Experience with large-scale distributed computing and cloud platforms such as AWS, Azure or GCP
- Experience with visualization platforms such as Tableau
Preferred
- MBA, or PhD in a technical field
- Background in consulting, professional services, or B2B analytics environments
- Experience with pricing or profitability analytics in a B2B setting
- Experience supporting deployment of SaaS or DaaS solutions with clients
U.S. COMPENSATION INFORMATION
Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain's best in class benefits package (details listed below).
Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:
In California, Washington state, Washington DC, New York, Illinois, Georgia, Texas and Massachusetts States, the good-faith, reasonable annualized full-time salary range for this role is between $164,500 - $219,000; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level
Annual discretionary performance bonus
This role may also be eligible for other elements of discretionary compensation
4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.
- Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck
- Generous paid time off, including parental leave, sick leave and paid holidays
- Fully vested 401(k) company contribution
- Paid Life and Long-Term Disability insurance
For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
