Technical Manager, Data Science

Summary

Join StackAdapt's data science team as a senior Data Scientist or Data Engineer! We're a remote-first company, offering a collaborative environment and opportunities to work on complex problems involving millions of requests per second. You will innovate ML algorithms, design scalable data pipelines, and implement custom algorithms in a low-latency environment. We offer competitive salaries, comprehensive benefits, and support for professional development. StackAdapt is a diverse and inclusive workplace recognized for its award-winning culture and high-performing campaigns. If you're passionate about data science and enjoy working in a collaborative setting, apply today!

Requirements

• Have the ability to take an ambiguously defined task, and break it down into actionable steps
• Ability to follow through complex projects to completion, both by independent implementation and by coordinating others
• Have deep understanding of algorithm and software design, concurrency, and data structures
• Experience in implementing probabilistic or machine learning algorithms
• Experience in designing scalable distributed systems
• A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech company
• Enjoy working in a friendly, collaborative environment with others

Responsibilities

• 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
• Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
• Design modular and scalable real time data pipelines to handle huge datasets
• Suggest, implement, and coordinate architectural improvements for big data ML pipelines
• Understand and implement custom ML algorithms in a low latency environment
• Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
• Be closely technically involved in managing a group of Data Scientists and Data Engineers working together to address complex problems

Benefits

• Competitive salary
• Private Medical Insurance cover
• Auto-enrolment into the company pension scheme
• Work from home reimbursements
• Coverage and support of personal development initiatives (conferences, courses, etc)
• An awesome parental leave policy
• A friendly, welcoming, and supportive culture
• Our social and team events (virtually!)
• Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year