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WHO WE ARE
At Basis Technologies, we empower agencies and brands with cutting-edge software that automates digital media operations. Our all-in-one platform supports seamless planning, reporting, and financial reconciliation across direct, programmatic, search, and social media.
We’re not just building advanced technology; we’re also building a culture where passionate, motivated individuals come together to drive meaningful change. Our commitment to inclusivity and growth ensures our employees thrive both professionally and personally.
With our headquarters in Chicago, we offer flexible work options across the U.S. and Canada, including remote, hybrid, or on-site at headquarters.
ABOUT THE TEAM
At Basis, our Data Scientists are core contributors to the product. We design, develop, and deploy machine learning and generative AI systems that drive smarter media planning, real-time campaign optimization, and deep performance insights. In close partnership with product managers, engineers, and domain experts, we translate complex business challenges into scalable, data-driven features. Backed by Basis’ integrated platform and robust data infrastructure, the Data Science team delivers capabilities that help our customers outperform the competition.
WAYS YOU’LL CONTRIBUTE
As a Senior Data Scientist, you will apply expertise in statistics, machine learning, and generative AI to help advance our vision of building the most intelligent and automated media platform in the market. You are passionate about uncovering patterns in data and translating complex business problems into high-performing solutions in close collaboration with stakeholders across the organization. In this role, you will also contribute by:
- Developing deep expertise in our business domain, data assets, customer needs, and platform capabilities
- Proposing, evaluating, and delivering innovative machine learning and generative AI solutions that improve measurable customer outcomes
- Designing and executing full data science workflows, including data exploration, feature engineering, model development, and evaluation
- Driving incremental product improvements through A/B testing, launch analysis, and strong cross-functional collaboration
- Fostering excellence within the data science team through mentorship, constructive feedback, and leading by example
WHAT YOU BRING TO THE TABLE
- PhD, Master’s, or Bachelor’s degree in a quantitative field ·
- 5+ years of experience in machine learning, statistics, or a related discipline
- 3+ years of hands-on experience developing models for production applications
- Proficient in Python or a similar programming language
- Proficient in SQL and distributed compute platforms, such as Spark
- Solid knowledge of or experience with large language models (LLMs) and/or generative AI tools
OUR TECH STACK
- We work with a modern and scalable stack that includes Python, PySpark ML, ONNX, Snowflake, Kafka, Airflow, and AWS (EMR, SQS). This foundation supports batch and real-time pipelines, large-scale model training, and high-performance inference.
ANYTHING ELSE?
Don’t have every skill listed? No problem! We know experience can be built in many ways. If you have relevant skills that aren't reflected in your resume, we encourage you to share them in an optional cover letter.
LIFE WITH BASIS TECHNOLOGIES
We’re committed to our people’s growth and well-being because our success is tied to theirs. That’s why we’ve earned recognition as a top workplace, including: Ad Age, #1 Best Places to Work 2025, WorkLife's #1 Most Committed to Work Life Balance, and the Chicago Tribune's Top Workplaces in Chicago.
We offer competitive perks, including a flexible work week, 401k/RRSP matching, mental health support, paid sabbaticals, generous parental leave, flexible work options, and more.
Basis is proud to be an equal-opportunity employer. We celebrate all team members regardless of gender identity, sexual orientation, race or cultural background, religion, disability, age, and beyond.
If you need assistance with interview accessibility, please contact [email protected]. Your privacy is important to us, view our policy here.
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