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- Tasks: Innovate ML algorithms to boost advertising performance and write production code.
- Company: StackAdapt is a leading self-serve advertising platform focused on innovation and creativity.
- Benefits: Enjoy competitive salary, private medical insurance, and work-from-home reimbursements.
- Why this job: Join a diverse team making impactful decisions in a friendly, collaborative environment.
- Qualifications: Masters or PhD in relevant fields with strong coding and machine learning skills required.
- Other info: Remote-first company open to candidates anywhere in the UK; flexible work options available.
The predicted salary is between 43200 - 84000 £ per year.
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 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.
StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK 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.
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.
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:
- 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
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Senior Data Scientist / Staff Data Scientist employer: StackAdapt Inc.
Contact Detail:
StackAdapt Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist / Staff Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and advertising technology. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking through how you would approach ambiguous tasks. StackAdapt values the ability to break down complex problems, so practice articulating your thought process clearly.
✨Tip Number 3
Engage with the StackAdapt community on social media or professional platforms like LinkedIn. This can help you understand the company culture better and may even lead to connections that could support your application.
✨Tip Number 4
Be ready to discuss your coding experience in detail. Since you'll be writing production code, having specific examples of past projects where you've implemented ML algorithms will set you apart from other candidates.
We think you need these skills to ace Senior Data Scientist / Staff Data Scientist
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights relevant experience in data science, machine learning, and coding. Emphasize any projects or roles where you've innovated algorithms or worked with large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with StackAdapt's mission. Mention specific experiences that demonstrate your ability to tackle ambiguously defined tasks and collaborate effectively.
Showcase Your Technical Skills: Clearly outline your proficiency in statistics, optimization, and machine learning in your application. Include any programming languages and tools you are familiar with, especially those relevant to the role.
Highlight Collaborative Experiences: Since StackAdapt values a friendly and collaborative environment, include examples of teamwork in your application. Discuss how you've successfully worked with others to achieve common goals in previous roles.
How to prepare for a job interview at StackAdapt Inc.
✨Showcase Your ML Expertise
Be prepared to discuss your experience with machine learning algorithms in detail. Highlight specific projects where you innovated or improved existing algorithms, and be ready to explain the impact of your work on ROI and advertising performance.
✨Demonstrate Problem-Solving Skills
StackAdapt values the ability to break down ambiguously defined tasks into actionable steps. Prepare examples from your past experiences where you successfully tackled complex problems, showcasing your analytical thinking and structured approach.
✨Collaborative Mindset
Emphasize your enjoyment of working in a collaborative environment. Share instances where you collaborated with data engineers or other team members to implement solutions, as this aligns with StackAdapt's team-oriented culture.
✨Familiarize Yourself with Their Tech Stack
Research the technologies and tools that StackAdapt uses for data science and machine learning. Being knowledgeable about their tech stack will not only help you answer technical questions but also demonstrate your genuine interest in the role and the company.
