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Data Scientist (Remote Optional)

WHO WE ARE

Basis Technologies delivers software and services to automate digital media operations for more than 1,000 leading agencies and brands.

Our comprehensive ad tech platform, Basis, supports the planning, reporting, and financial reconciliation of direct, programmatic, search, and social media, all in one place.

We are deeply committed to building software that will change the ad tech industry for the better and are equally dedicated to building an inclusive culture of highly motivated individuals who create a positive and supportive environment together. We invest in our culture and support our employees so they can do their best work.

Basis Technologies is headquartered in Chicago, with beautiful offices also in Toronto, Dallas, Denver, and New York to name a few. Our employees have the flexibility to work in one of our office locations, completely remote, or a hybrid of the two. Please note, we are hiring on a remote working basis only in the U.S. and Canada.

ABOUT THE TEAM
The mission of Data Science at Basis Technologies is to support the company’s vision of creating the most comprehensive and automated platform in the industry by applying machine learning algorithms and statistical methods in media planning and buying processes. We focus on extracting actionable insights from large amounts of data. We aim to derive meaning from our data enabling us to run our business better and equip our clients to advertise smarter. As part of our Data Science team, you will be working with product managers, engineers, and business stakeholders to bridge the gap between raw data and making informed decisions.
WAYS YOU’LL CONTRIBUTE
We are looking for a data scientist with a solid background in statistics and machine learning to help us achieve our mission. The ideal candidate will have a passion for discovering patterns from data and working with internal stakeholders to understand business problems. You will also contribute by:

WHAT YOU BRING TO THE TABLE

  • Your education background and relevant work experience demonstrate a mix of statistical and machine learning skill sets
  • You possess business acumen and curiosity to learn our business operations
  • You have at least 2 years of professional experience working with statistical and machine learning experiments and communicating to the stakeholders with the outcomes
  • You can extract data on your own and prepare the datasets needed for an experiment
  • You feel comfortable working with data that is sometimes incomplete or messy
  • You don’t make assumptions about the data yourself. Instead, you are willing to work with others to get a clear understanding of the context around the data
  • You don’t limit yourself to how things are done today. You instead focus on the best ways to create value

BONUS POINTS

  • Knowledge of the digital advertising industry (e.g. AdWords, DSPs, ad-serving)
#BI-Remote
#LI-Remote
#LI-Hybrid

ANYTHING ELSE?

Don't think you have all the skills required for this role? That's okay, we recognize that experience can be built in many ways. If you have relevant skills that are not reflected in your resume, we welcome your candidacy and encourage you to share more in an optional cover letter, even if your experience doesn’t match our exact requirements.

LIFE WITH BASIS TECHNOLOGIES

We take care of our people and believe that our success depends on the growth and well-being of each one of our team members.

We provide a thoughtful perks and benefits package including competitive 401k/RRSP matching, mental health support, a funded health savings account, paid sabbatical, generous parental leave, a flexible work environment and time off policy, and more.

We are proud to be an equal opportunity employer are committed to building teams that are diverse in thought, perspective, and culture. We celebrate all team members regardless of gender identity, sexual orientation, race or cultural background, religion, disability, and age. Our employee-led communities enrich our culture of uniqueness, inclusivity, and empowerment.

We are committed to developing software and services that support theincreasingly complex digital media landscape—and to improving thelives of the people working inside it.

27 jobs
FUNDING
TEAM SIZE
DATE POSTED
August 12, 2022

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