Senior Data Scientist

Posted Yesterday
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New York, NY
Hybrid
130K-150K Annually
Senior level
AdTech • Agency • Digital Media • Marketing Tech • Analytics
We are a modern marketing company engineered to meet unprecedented challenges & opportunities facing marketers today.
The Role
The Senior Data Scientist at Known will develop tools for media campaigns, mentor colleagues, and create predictive models while collaborating with various teams.
Summary Generated by Built In

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS

Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. 

Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age’s Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few.

We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely.

BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU

About the role:

Known’s Skeptic team builds the tools that power Known’s media buying practice and elevate the media campaigns of our clients. Our work ranges from predictive modeling / optimization to infrastructure development, and Skeptic’s data scientists and engineers are challenged every day to push the limits of advanced advertising. 

We are seeking a Senior Data Scientist who can understand the core business objectives of our internal teams and our clients, and develop tools tailored to their use cases. Experience in media is a plus, but not required for the role. The initial project for this role will have a heavy forecasting component and leverage common techniques used for Media Mix Models. 

In this role more generally, you will work with, and guide, other data scientists on a variety of projects and interface with our other teams at Known. As a Senior Data Scientist, you will drive forward some of our most difficult data science projects.

WHAT YOU’LL DO

  • Developing new techniques (e.g., ML models, optimization algorithms, and automation) to improve Known IP and create tools for Known’s clients 
  • Working with other data scientists and engineers to productionalize new tools 
  • Collaborating with data visualization experts to build dashboards around forecasts and other model outputs
  • Managing the ingestion and cleaning of new datasets relevant to your work / projects
  • Mentoring other data scientists on our team

WHO YOU ARE AND WHAT YOU HAVE

  • A Masters or PhD from a well-regarded college or university.  STEM degrees are preferred.  
  • 5+ years (with Masters) or 3+ years (with PhD) of hands-on experience doing quantitative analysis, statistical modeling, optimization and/or statistics. Experience utilizing Python and SQL. Candidates with a Bachelors degree and 7+ years of experience may also be considered.
  • 3+ years of experience building data science software
  • Experience in ad-tech or media buying is highly desired, specifically with a track record of modeling data from 'Walled Garden' social ecosystems
  • A strong grasp of Bayesian statistical methods is a plus. You should be comfortable applying probabilistic thinking to solve real-world optimization problems, beyond standard frequentist approaches.

Skills, abilities, and knowledge

  • Superb communication and presentation skills
  • An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning
  • Proven ownership of projects taken to completion
  • A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work
  • Experience working on a tech team, with experience in cloud technologies, version control, etc.
  • Experience in advertising or advertising technology is a plus
  • Applied knowledge of Bayesian inference and probabilistic programming (experience with libraries like PyMC) is a plus
  • Deep understanding of the data structures and optimization levers within social advertising platforms (e.g., bidding strategies, conversion windows, and attribution logic) is a plus

Competencies

  • Ability to prioritize time, work and effort while multitasking on multiple projects
  • Desire to mentor and teach others
  • Collaborative attitude
  • Self motivated and exhibits initiative
  • Willing & able to learn quickly
  • Abundant intellectual curiosity and integrity

SOME OF OUR PERKS

  • Unlimited paid time off
  • 401k with company matching and no vesting period
  • Annual bonuses
  • Generous medical plan
  • Paid parental leave

ONE LAST THING TO ASK YOURSELF

All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values.

Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class.

The base salary for this position is $130K - $150K.

            This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.

#LI-RR1

Top Skills

Bayesian Statistical Methods
Pymc
Python
SQL
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The Company
New York, NY
478 Employees
Year Founded: 2020

What We Do

Known is built on a foundation of two decades of groundbreaking market research and data science capabilities, which now power our acclaimed strategy and creative groups. Our clients include some of the most innovative brands in the world. We are setting a new standard by delivering those clients the advanced, end-to-end solutions they need, in the most efficient, effective and transparent ways. The result? Marketing that is rooted in science, and designed to succeed, be persistently optimized and profoundly impact our clients’ businesses.

Why Work With Us

We know marketing has fundamentally changed. You’ll very quickly learn that we’re either the most creative scientific company or the most scientific creative company. Whichever you decide, our employees are empowered to live their true north. Our common thread is sharing a passion for revolutionary ideas, reinvention, and channeling curiosities.

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