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Consultant, Data Science Client Success

Fresh Gravity Washington, DC
  • Posted: January 03, 2019
  • Full-Time

About Fresh Gravity:
Founded in 2015 and rapidly expanding, Fresh Gravity ( is a business and technology consulting company at the cutting-edge of digital transformation. We drive digital success for our clients by helping them adopt transformative technologies that make them nimble, adaptive and responsive to their rapidly-changing business needs. Our unparalleled digital transformation expertise combines business strategy prowess with digital technologies know-how. Our expertise includes Data Management, Artificial Intelligence, Data Science & Analytics, and API Management & Integration.
In a short time, we have crafted an exceptional team who have delivered impactful projects for some of the largest corporations in the world. We are on a mission to solve the most complex business problems for our clients using the most exciting new technologies. And we are looking for top talent to join us in our quest.
Fresh Gravity's team members are authorities in their field, but know how to have fun, too. We're building an inspiring, open organization you'll take pride in. We challenge ourselves to grow - every day. We create value for our clients and partners - every day. We promise rich opportunities for you to succeed, to shine, to exceed even your own expectations.
We are thoughtful. We are engaged. We are relentless. We are Fresh Gravity.

About the Role:
Our Client Success Capability is seeking a Project Delivery Manager with advanced skills in hybrid methodologies (e.g., Agile & waterfall), plus data science expertise, to serve as a client-facing tech lead for consulting engagements. The ideal candidate has a balance of technical project delivery skills plus data science knowledge to support teams as they design intelligent systems to solve clients' business needs. Our team has significant interaction with both client experts (e.g., data scientists) and executives (e.g., facilitating AI strategy sessions).
Our team comes from a range of backgrounds, but two types of skills/experience are strictly required:

+ Some understanding of machine learning algorithms at the level of practical use, with the ability to explain statistical intuition and reasoning to technical and non-technical audiences.
+ Experience leading technical teams and delivering technical projects, with essential skills like high-level stakeholder management and comfort presenting to executives. We are looking for candidates with a hybrid project management background, i.e., those comfortable with both traditional waterfall approaches and Agile Methodology.

Core Requirements - Functional:

+ Exceptional tech leadership skills, with examples of teams led and projects delivered successfully.
+ Experience with hybrid project management frameworks, which include elements of Kanban-based Agile. For example: experience as a Scrum Master.

+ Exceptional proficiency with project- and stakeholder-management theory and practices - demonstrated ability to proactively drive workstreams with minimal supervision, independently escalate and resolve issues, handle changes in technical direction, etc.

+ Exceptional proficiency with fundamental day-to-day processes of project delivery and running a team, for example:

+ Estimating personnel requirements

+ Assigning tasks

+ Running effective client meetings (setting context, establishing goals, capturing key decisions, managing scope changes, etc.)

+ Managing scope

+ Status reporting, appropriate escalation of risks/issues

+ 5+ years of experience working in a business context (staff data scientist, technology consulting, systems integration, management consulting, working as an analyst "in industry," etc.)

+ Comfort communicating and collaborating with client executives.

+ Strong verbal presentation skills.

+ Strong qualitative "storytelling" via structured slide decks.

+ Strong "data storytelling" with good grasp of data visualization theory.

Core Requirements - Technical:

+ Master's degree in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics, Artificial Intelligence, Complex Systems, Engineering, etc.
+ 3+ years of experience leading the delivery of technical projects with typical responsibilities like managing a team, tracking milestones, managing client expectations, and executing good practices for hybrid methodology (e.g., Agile).

+ 3+ years of experience with Python

+ Proficiency with standard database skills (e.g., SQL) and fundamentals of data munging.

+ Conceptual understanding of probability & statistics, standard ML algorithms, and computer science fundamentals like complexity, algorithms and data structures.

+ Given support from our data scientists, would be able to help explain Machine Learning concepts, intuition, and rationale to stakeholders at multiple levels:

+ in laymen's terms using analogies, examples, and minimal jargon

+ at an advanced level for clients with deep statistical background

Preferred Capabilities and Differentiators:

+ Experience building analytics/ML pipelines in a production environment for enterprises
+ Hands-on experience as a data scientist (e.g., building predictive models working as an "individual contributor" or on a team)
+ Experience with machine learning and deep learning frameworks. Our team is often called on to create novel/custom deep learning architectures for complex business problems.
+ Personal projects and Kaggle competition results can be differentiators.

A typical project involves:

+ We perform structured interviews with clients about their business problems and analytic needs - rapidly translating a business objective into the rough cut of an algorithmic solution formulation.
+ We conduct "blue sky"/"art of the possible" conversations on clients' technology strategy.
+ Given unstructured and complex business problems, our data scientists identify the appropriate analytic or ML use cases that would constitute a solution tailored to client needs. They research algorithms, design experiments, test hypotheses, and build actionable models.
+ We produce prototypes and proofs-of-concept that are tested on large datasets and deliver fully-fledged solutions that are scaled to production.
+ We effectively document and communicate methodologies and results, producing high-quality "storytelling" including data visualizations, dashboards, and executive presentations.

About our Data Science and AI Capability teams:

+ We are client- and peer-relationship focused. Our success comes from having happy clients AND happy project teams.
+ We are independent, but also thrive in a team environment. We aim for the best of both worlds: high autonomy plus high support and collaboration. Artificial Intelligence is an emerging field - we all learn from each other, and each team member leads the way in at least one area.
+ Opportunities for "blue sky" and "art of the possible" thinking. We hire candidates both for what they know and for what they can imagine. We frequently work on emerging opportunities that don't have a single "best practice" solution. If you come up with a great idea, you'll get the green light to run with it.
+ We learn from each other and share knowledge regularly: Because AI is an emerging area, we set aside time to stay up-to-date and share knowledge through "brown bags," formal training sessions, and on real Gravity Labs R&D projects.

We try to minimize travel, but depending on project requirements, periodic travel (typically Monday through Thursday) may be required for some engagements.

In addition to a competitive package, we promise rich opportunities for you to succeed, to shine, to exceed even your own expectations. In keeping with Fresh Gravity's challenger ethos, we have developed the 5Dimensions (5D) benefits program. This program recognizes the multiple dimensions within each of us and seek to provide opportunities for deep development across these dimensions. Enrich Myself; Enhance My Client; Build My Company, Nurture My Family; and Better Humanity.

Fresh Gravity


Washington, DC
20044 USA

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