EY Quantitative Strategies & Solutions (QS2) - Data Science & ML - Director in Boston, Massachusetts
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Emerging technology is disrupting business at an exponential rate. EY-Parthenon’s Quantitative Strategies and Solutions team has a market-leading proposition to create and maximize value for our clients by combining deep subject matter expertise in these emerging technologies with cutting edge quantitative solutions.
EY-Parthenon’s Quantitative Strategies and Solutions (QS2) team works on complex and high-profile emerging technology engagements across a broad portfolio of clients and industry sectors. We are a group of highly experienced technical professionals with backgrounds in biotechnology, biopharmaceuticals, health, devices/diagnostics, energy, AI/ Machine Learning, and autonomous systems, which enables us to bring a wealth of deep sector and functional knowledge to our clients. As a team, we assess client gaps and link them to solutions from emergent, disruptive technologies; identify and source technology solutions; develop strategies and roadmaps around emerging technology; set the stage for development, adoption, and commercialization; and develop and deploy novel solutions for our clients. You will join one of the fastest growing practices at EY and you will be afforded a range of opportunities for your professional growth and development.
This role will join a team responsible for providing technical consulting and developing analytical toolsets and software across a range of different types of engagements with a focus on the application of advanced data science and machine learning within the government and private sectors. We are seeking someone who is motivated by technically challenging projects that require rigorous analysis and solution development based on client objectives and constraints.
The ideal candidate will be someone with technical experience who is excited to develop, implement, and scale cutting edge and robust ML solutions to a wide variety of applications. As a member of the team, you will lead and manage projects, maintain client relationships, and support new business. Clients are often expecting cutting-edge solutions to their problems in order to put them ahead of their competition – as such, it is critical to always be curious, always be learning, and to have an interest in being the first to apply a new research development to a real-world problem.
Your key responsibilities
Curiosity and creativity, always looking to show clients data in ways they’ve never seen before and can’t find anywhere else
Work closely with other scientific and business/government subject matter experts on producing state-of-the-art solutions that will enable our clients to achieve their strategic goals.
Develop bespoke as well as reusable models as part of an analytical solution pipeline with client needs as the foundation, and leverage subject matter expertise to develop quantitative methodologies and tools to produce comprehensive solutions, within the agreed quality, service commitment levels, schedules, and budgets
Actively involved in the daily operational activities that generally impact important components / processes of the technology function
Develop protocols to support established standards and develop new standards as needed
Anticipate and prevent problems and roadblocks before they occur
Gather and update necessary information and communicates to appropriate parties
Coordinate cross-functionally to accomplish assigned tasks
Mentor less experienced members of the team
To qualify for the role, you must have
A bachelor’s degree in statistics, mathematics, engineering, computer science, operations research, industrial/systems engineering, business analytics or relateddata science and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
A master’s degree and/or PhD strongly preferred.
Experience with one or more of the following topics:
Classical machine learning (e.g. linear models, SVM, k-NN, etc.)
Natural Language Processing (both classic and deep-learning-based)
Neural network training and evaluation
Bibliometrics and/or scientometrics
Power Systems Optimization
Experience with one or more of the following quantitative methods:
Artificial Intelligence (AI)
Modeling & Simulation
Experience delivering high-quality work products for clients
Experience spinning up quick prototypes as well as production-grade systems
Team management and client development experience
Excellent analytical, project management, communication, teamwork, and interpersonal skills
A successful history of manipulating, processing, and extracting value from large, disconnected datasets
Ability to communicate complex technical subjects and results in a clear and meaningful manner to nonexperts
Ability to define workstreams with clear milestones and deliverables and within project scope
Experience working in an agile development process
Strong familiarity with Python, UNIX/Linux command lines and Bash scripting
Software engineering skills (e.g. unit testing, git-based version control, modularization of code)
Ability to visualize data to derive meaningful insights for the client and project team members
Experience with Docker containerization
Expertise in cloud-based computing and analytics (Azure and AWS preferred)
Experience in consulting or a consulting-like role (e.g., solutions architect with frequent client interactions)
Ability to build basic data pipelines robust to anomalies and errors
Ideally, you’ll also have
Prior experience with one or more:
Docker container orchestration (e.g. docker-compose, Kubernetes)
Graph database experience (Neo4j)
Distributed GPU-based training and inference
Model packaging and deployment (e.g. MLFlow)
What we look for
We’re interested in talented professionals with the ability to visualize our clients’ goals and think creatively to facilitate them by engineering market-leading solutions founded in advanced data analytics. If you have an entrepreneurial spirit, and a genuine passion for taking on new challenges, this role is for you.
What we offer
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
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