Data Scientist / Senior Data Scientist

StackAdapt is the no. 1 performing programmatic advertising platform helping brands accelerate customer engagement and acquisition. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience.

Ranking the highest in performance by G2 Crowd for the fourth time, we're one of the fastest growing companies in Canada and ranks 6th in Deloitte's Technology Fast 50 ranking and 23rd in Fast 500 in North America.

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 engineering culture here: https://www.youtube.com/watch?v=LXM2NrkhKZc

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

What you'll be doing:

• Develop models and algorithms to maximize ROI and advertising performance

• Implement machine learning models in production, sometimes with the assistance of Data Engineers

• Implement a data analysis framework to analyze and test models effectively

• Generate insights on user behaviour and implement necessary solutions

• Be able to test results using historical data and optimize efficiently in production

We'll be reaching out to candidates who:

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

• Have relevant experience as a Data Scientist

• Have the ability to take an ambiguously defined task, and break it down into an insightful analysis

• Are proficient with relevant data science tools such as Spark, Python (scipy, sk-learn) etc.

• Have a comprehensive understanding Bayesian modeling, machine learning techniques, and optimization

• Have the ability to innovate custom algorithmic solutions to machine learning problems

• Have worked with large datasets

• Understand multivariate regression, and classification

• Background in advertising technology or a related field is a plus

StackAdapters enjoy:

• Work alongside some of the smartest people in the industry

• Highly competitive salary with RRSP Matching

• Bright office in the heart of Toronto's tech center (currently we are remote due to COVID)

• Full benefits from League on day one of employment

• 3 weeks vacation + 3 personal care days + 1 volunteer day + birthdays off

• Home office and Internet reimbursements

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

• An awesome parental leave policy

• A weekly $15 lunch credit via Ritual

About StackAdapt

StackAdapt is a self-serve programmatic advertising platform used by the most exceptional digital marketers. This state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. Ad buyers plan, execute, and manage data-driven digital advertising campaigns across all devices, inventory, and publisher partners. StackAdapt is a Top 100 Software Product on G2, being the only DSP on the Best Software Products and Highest Satisfaction lists.

We've been recognized for our high performing campaign conversion rates, award-winning customer service, and innovation by numerous industry publications including:

Great Place to Work® named StackAdapt as one of Canada’s Best Workplaces for Start-ups in 2021

A leader in the DSP, Video and Cross-Channel Advertising Categories on G2

A Top Growing Company in Canada based on the Globe and Mail's 2020 Business Report

Named 23rd in Deloitte Canada’s Technology Fast 50™ program

Named in Deloitte Technology's Fast 500 in North America

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. We are an equal opportunity employer and we are happy to work with applicants requesting accommodation at any stage of the hiring process. We welcome and encourage anyone and everyone to apply.