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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 an impact in the advertising world with cutting-edge technology.
- Qualifications: Masters or PhD in relevant fields, strong coding skills, and a collaborative mindset required.
- Other info: Remote-first culture allows you to work from anywhere in the UK and beyond.
The predicted salary is between 48000 - 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 Womenandin Canadaby Great Place to Work
- #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising
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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
Familiarise yourself with StackAdapt's platform and its unique features. Understanding their multi-channel solutions and how they leverage machine learning will help you demonstrate your enthusiasm and knowledge during discussions.
✨Tip Number 2
Network with current or former employees of StackAdapt on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can reference in your interviews.
✨Tip Number 3
Prepare to discuss specific machine learning algorithms and their applications in advertising. Being able to articulate your thought process and past experiences with similar projects will showcase your expertise and fit for the role.
✨Tip Number 4
Highlight your collaborative skills and experience working in a team environment. Since StackAdapt values a friendly and supportive culture, sharing examples of successful teamwork will resonate well with the hiring team.
We think you need these skills to ace Senior Data Scientist / Staff Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and coding. Emphasise any projects or roles where you've innovated algorithms or worked with large datasets, as this aligns with what StackAdapt is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it relates to advertising performance. Mention specific examples of your work that demonstrate your ability to innovate and collaborate, which are key aspects of the role.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, particularly in statistics, optimisation, and machine learning. Be specific about the programming languages and tools you are proficient in, as these will be crucial for the position.
Highlight Collaborative Experience: Since StackAdapt values a friendly and collaborative environment, mention any experiences where you've successfully worked in teams. This could include projects where you collaborated with data engineers or other stakeholders to achieve a common goal.
How to prepare for a job interview at StackAdapt Inc.
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your proficiency in machine learning algorithms and coding. Be prepared to discuss specific projects where you've innovated or improved algorithms, and consider bringing examples of your production code to showcase your skills.
✨Understand the Business Context
StackAdapt focuses on maximising ROI and advertising performance. Familiarise yourself with the advertising industry and be ready to discuss how your data science expertise can directly impact campaign performance and decision-making processes.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to break down complex tasks into actionable steps. Practice explaining your thought process when tackling ambiguous problems, as this is crucial for the role and will demonstrate your analytical thinking.
✨Emphasise Collaboration and Culture Fit
StackAdapt values a friendly and collaborative environment. Be ready to share experiences where you've worked effectively in teams, and express your enthusiasm for contributing to a supportive workplace culture.
