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 team as we continue to expand our data science efforts. This particular position will focus on building models to predict and optimize internal business operations. For example, identifying customers who are likely to contribute significantly to company revenue or predicting churn. This position requires a technically strong person with a strong programming and Data Science background, who is also willing to work with internal company teams to understand the business. 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=LXM2NrkhKZcWatch 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:
Build predictive and optimization models to guide company resourcing decisions
Build credit limit and collection decisioning models to support company financial health
Make Data Science modeling accessible to non-experts through usage of the right tools for typical prediction tasks
Support in the modeling of annual and long range revenue planning
Implement time series forecasting to predict revenue from clients, especially when it is likely to grow or decrease
Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms in production
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
At least 4 years experience in Finance Data Science
Bring an analytical mind to the work blending data science and internal business operations and analytics
Are proficient in coding, data structures, and algorithms
Enjoy working in a friendly, collaborative environment with others
StackAdapters enjoy:
Competitive salary + equity
RRSP/401K 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:
