Job Description

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 Canada for this position.

What you'll be doing:

Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods

Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms

Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

What you'll bring to the table:

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

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!

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