Senior/Staff Data Scientist

Remote

Full-time

Job Description

This job posting has expired and no longer accepting applications.

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.

We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.

Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/

Learn more about our team culture here: https://www.stackadapt.com/careers/data-science

Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US for this position.

What you'll be doing:

Lead the creation and optimization of advanced machine learning algorithms—from developing new methods to refining existing techniques—to enhance advertising effectiveness and ROI using deep ML expertise.

Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Data Engineers to deploy and integrate algorithms into live systems.

Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.

What you'll bring to the table:

3+ years of industry experience

Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.

Have the ability to take an ambiguously defined task, and break it down into actionable steps

Have a comprehensive understanding of statistics, optimization and machine learning

Are proficient in coding, data structures, and algorithms

Enjoy working in a friendly, collaborative environment with others

StackAdapters enjoy:

Competitive salary + equity

401k/RRSP matching

3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off

Access to a comprehensive mental health care platform

Health benefits from day one of employment

Work-from-home reimbursements

Optional global WeWork membership for those who want a change from their home office

Robust training and onboarding program

Coverage and support of personal development initiatives (conferences, courses, etc)

Access to StackAdapt programmatic courses and certifications to support continuous learning

Mentorship opportunities with industry leaders

An awesome parental leave policy

A friendly, welcoming, and supportive culture

Our social and team events!

If this role speaks to you then please submit an application - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted.

#LI-KR1

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

About StackAdapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:

Ad Age Best Places to Work 2024

G2 Top Software and Top Marketing and Advertising Product for 2024

Campaign’s Best Places to Work 2023 for the UK

2024 Best Workplaces for Women and in Canada by Great Place to Work®

#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

#LI-Remote

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