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Data Scientist

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Deep understanding of applied statistics, Experience with data science tools like Python and SQL, Knowledge of machine learning models and experimental design, Ability to communicate findings to technical and non-technical audiences, Experience in collaborative, multidisciplinary environments.

Key responsabilities:

  • Identify relevant data sets and perform analyses
  • Visualize and communicate statistical findings
  • Collaborate with clients and report project status
  • Support cross-disciplinary teams and adapt swiftly
  • Apply scientific methods to solve business challenges
KUNGFU.AI logo
KUNGFU.AI Information Technology & Services Startup https://www.kungfu.ai/
11 - 50 Employees
See more KUNGFU.AI offers

Job description

KUNGFU.AI is a management consulting and engineering firm focused exclusively on artificial intelligence. We empower CEOs and senior executives to leverage the full potential of AI so they remain competitive in a rapidly evolving world. 

Our expert team delivers AI strategy and bespoke production-grade solutions that allow clients to rapidly realize value. We stand apart because we implement our AI strategies into production quickly, safely, and responsibly.

Outside of our virtual walls we are painters, foodies, cocktail connoisseurs, musicians, crossword-doers, athletes, dungeon masters, non-profit board members, and more. We’d welcome the opportunity to meet you.

As a Data Scientist, you will partner with project managers, strategists, and other members of the engineering team to aid clients in gaining deeper insights into their unique challenges and organization.

Here’s what you’ll be doing:
  • Identifying data sets relevant to key research questions and performing statistical analyses to inform strategic decision-making
  • Effectively visualizing and communicating statistical findings to a variety of stakeholders, including both technical and non-technical audiences
  • Identifying and communicating opportunities for improving the overall product or data ecosystem
  • Collaborating with client teams of various makeups and reporting project status to the internal KUNGFU.AI team
  • Working within an AI-focused context, which requires a growth mindset
  • Providing occasional cross-disciplinary support for machine learning engineers (and vice versa)

  • What we’re looking for:
  • Deep understanding of applied statistics and product analytics
  • Ability to derive well-articulated hypotheses, execute appropriate statistical tests, and interpret the results for a non-statistical audience
  • Adept at leveraging data and experimental methods to divine the true nature of business phenomena such as price elasticity, customer behavior, risk, fraud, process performance
  • Familiarity and exposure to various machine learning models - we do a lot of prototyping and evaluating
  • A demonstrated ability to quickly adopt new tools, algorithms, and analysis techniques
  • A working competency in python as well as experience with common data science tooling (e.g. jupyter, git, SQL, matplotlib, AWS EC2, to name a few)
  • Experience in an environment that is doing regular causal inference, A/B testing or experimental design
  • Deep intuitions when navigating complex client environments while maintaining a high bar for client service
  • Experience with one or more specialized analytical domains like causal modeling, power analysis or econometrics
  • A deeply collaborative nature that complements multidisciplinary project teams
  • Experience with the Scientific Method and applying it to solve business problems 
  • Experience with storytelling using data visualization. We don’t really care which tool you use, just that you have done this before
  • More on the storytelling piece - we want someone who has experience presenting technical approaches and findings to a range of technical and non-technical audiences, so we need someone with excellent written communication skills
  • Demonstrated professional experience working all the way from identifying data for a specific problem set, selecting appropriate solutions, and presenting the findings of those solutions. Essentially, you’ve worked from A to Z on a variety of data science projects
  • Someone who’s resourceful and is comfortable with decision making
  • What’s in it for you:
    This is a full-time position that is remote. Compensation includes competitive salary, company stock grant, top (‘gold’) level of health, dental and vision insurance (KUNGFU.AI covers 100% of your premiums and 50% for any dependents), health and dependent flexible spending accounts, short- and long-term disability insurance, unlimited vacation (that you're encouraged to take), paid parental leave, and more. Please send your resume along with a cover letter explaining why you’re passionate about the idea of joining KUNGFU.AI and a great fit for this role.

    KUNGFU.AI Culture

    We are committed to building an inclusive culture that’s professional and effective, while also fun, collaborative and open. We are proud to be the first company to take The Startup Diversity and Inclusion Pledge, which one of our co-founders started. We actively encourage people from underrepresented groups to apply. We believe that a diverse and inclusive workforce fosters more creative ideas, conversations, and results.

    We also believe in using AI for Good in both our client projects and our corporate philanthropy.

    Our values are incredibly important to how we show up for each other, our clients, and for society at large. We expect all of our team members to be:

    Inquisitive, in that they have an innate desire to learn and teach.
    Inventive, in that nothing (ego, fear, etc.) gets in the way of innovation.
    Open, in that they willingly share their learnings and experience with all.
    Caring, in that they prioritize self-care, empathy, and an understanding of others.
    Trustworthy, as that underpins all of the above.

    Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Industry :
    Information Technology & Services
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Other Skills

    • Growth Mindedness
    • Collaboration
    • Analytical Thinking
    • Decision Making
    • Problem Solving
    • Resourcefulness

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