Job Description

We are searching for a talented senior level 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 Germanyf 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

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

Data Scientist - II - (Remote - US)

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