Home Canada Senior Data Scientist, Business Sales

Home Canada Senior Data Scientist, Business Sales

Senior Data Scientist, Business Sales

Full time at a Laimoon Verified Company in Canada
Posted on November 14, 2024

Job details

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 every day. 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 solid programming and Data Science background, who is also willing to work with internal company teams to understand the business problems that require modeling.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 decisionsBuild customer acquisition models that identify high potential customers and their associated valuesMake Data Science modeling accessible to non-experts through usage of the right tools for typical prediction tasksImplement time series forecasting to predict revenue from clients, especially when it is likely to grow or decreaseWrite production code, sometimes collaborating with Data Engineers, to implement novel ML algorithmsPrototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insightsWhat 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 stepsAt least 4 years experience in Sales Optimization Data ScienceHave a comprehensive understanding of statistics, optimization, and machine learningBring an analytical mind to the work blending data science and internal business operations and analyticsAre proficient in coding, data structures, and algorithmsEnjoy working in a friendly, collaborative environment with othersStackAdapters enjoy:Competitive salary + equity401K matching3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays offAccess to a comprehensive mental health care platformHealth benefits from day one of employmentWork-from-home reimbursementsOptional global WeWork membership for those who want a change from their home officeRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, etc)Access to StackAdapt programmatic courses and certifications to support continuous learningMentorship opportunities with industry leadersAn awesome parental leave policyA friendly, welcoming, and supportive cultureOur 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 an interview will be contacted.#LI-KR1StackAdapt 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 StackAdaptWe've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation.

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