Senior Data Scientist

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 you will work with, and guide, other data scientists on a variety of projects and interface with our other teams  a Senior Data Scientist, you will drive forward some of our most difficult data science projects.

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

• 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.

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

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

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 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 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.