Senior Data Scientist​/Data Scientist

Stellenbezeichnung: Senior Data Scientist / Staff Data Scientist

Join to apply for the Senior Data Scientist / Staff Data Scientist role at Stack Adapt

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Join to apply for the Senior Data Scientist / Staff Data Scientist role at Stack Adapt

Stack Adapt 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. Stack Adapt 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 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:

Learn more about our team culture here:

Watch our talk at Amazon Tech Talks:

Stack Adapt is a Remote First company, and we are open to candidates located anywhere in Germany 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

Stack Adapters 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

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.

Stack Adapt 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  you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

About Stack Adapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:

Ad Age Best Places to Work 2024

G2 Top Software and Top Marketing and Advertising Product for 2024

Campaign’s Best Places to Work 2023 for the UK

2024 Best Workplaces for Women and in Canada by Great Place to Work

#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

Seniority level

• Seniority level
  
  Mid-Senior level

Employment type

• Employment type
  
  Full-time

Job function

• Job function
  
  Engineering and Information Technology
• Industries Technology, Information and Internet

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