Data & Analytics

Data Scientist

Why join frog?

Joining frog means you’ll be joining the “pond,” a global network of studios, each with a thriving in-person and vibrant virtual culture. As a leading global creative consultancy that is part of Capgemini Invent, frog challenges the status quo to craft and build transformative human experiences that win hearts and move markets. Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design and data to re-invent businesses, drive growth and orchestrate customer-centric transformation. Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people and planet. Our culture is open, flexible, inclusive and engaging. Working at frog means being empowered to Make Your Mark on every project, in your studio, your community—and the world at large.

Join us to do the best work of your life. 

At frog we are united by our shared passion for outcomes that transform the human experience. We accomplish these outcomes by taking on complex challenges, big asks, and things that have never been done before. We look beyond point solutions and apply design to the creation of new strategies, systems, and—in some cases—entirely new businesses. We know that takes all types of people. We believe that diverse backgrounds and experiences creates a stronger frog.

Our work is transformational because our people are extraordinary. frogs are analytical and artistic, conservative and unconventional, technical and whimsical. We look for hybrid talents and build teams around divergent expertise, which allows us to solve problems and uncover opportunities in unique ways. frogs are some of the best talent in the world, and together we advance the human experience through design.  

The Position:

The Data Scientist is a multi-disciplinary specialist. The scientist has rich experience with algorithmic development, statistical analysis, machine learning and some experience with database architecture. The role is part scientist, part strategist, part engineer and part designer. The scientist is a hands-on consultant, and an organizer of experiments, proofs, simulations and models that bridge the gap between creative design and empirical data. The scientist leads efforts to identify and analyze current models, patterns and trends within our client’s data. They perform in-depth investigation and experimentation with emerging platforms and frameworks, and identify new opportunities and business value for data innovation and differentiation with technology enablers like machine learning, applied AI and statistical analysis. You provide relevant subject matter expertise across domains in the form of algorithm development, system best practices, and data integration support to help ensure the client’s system successfully realizes their vision.

You Are:  

Someone who is driven, curious, and dedicated. You’re looking for a company where you can seize the opportunity to pursue your interests across functions and geographies. You are creative, tenacious and collaborative. The senior data scientist will possess professional and academic experience with machine learning, applied artificial intelligence, mathematical modeling and applied statistics. You have experience with computational tools on a variety of platforms, frameworks, and methodologies.

  • Graduate degree in a S.T.E.M field (science, technology, engineering, mathematics) is required.
  • 4+ years experience with techniques in machine learning.
  • Including supervised, unsupervised modeling, classification, clustering, etc.
  • Deep learning techniques including convolutional neural networks, and the technologies to support them (TensorFlow, Theano).
  • Ability to quickly comprehend an algorithm or machine learning method and apply to a real-world problem.
  • 5+ years (inclusive of academics) experience in the following:
    • Working with the applied scientific method
    • Demonstrated competencies in various fields of advanced mathematics
    • Calculus through specialized topics including calculus of variations
    • Linear algebra through tensor manipulation and multi-frame optimization.
    • Differential equations including first-order and partial
    • Statistics
    • Stochastic / Non-linear dynamics
    • Ability to quickly comprehend an algorithm or machine learning method and apply to a real-world problem
    • Exposure to visualization tools
    • D3js, WebGL, etc.
    • Python is necessary with strong experience with Pandas, Numpy and scikit-learn
    • R is a plus, though rarely used
    • Mathematica, Matlab, Scala are all a plus but not required
    • Experience with various database structures
    • Relational (SQL)
    • Document (MongoDB)
    • Graph (Neo4J)
    • Column (Google BigTable)
  • In addition:
    • Strong skills and experience in effective collaboration and technical problem solving within multidisciplinary teams representing product or service owners and stakeholders, creative visual and interaction designers, business strategists, technology platform providers, software architects and engineers, quality assurance personnel, and operational support groups.
    • An exemplary attention to detail to accurately translate designs while maintaining a high level of code quality.
    • Exceptional written and verbal communications skills along with experience in preparing and delivering documentation, proposals, presentations, and structured working sessions to all levels in a client organization.

Equal Opportunities at frog

frog is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

frog is a global business with teams working across the world. To help us process your application, please ensure that your application documents (CV, cover letter, portfolio, etc.) are all in English.