Published: Mon, 16 Dec 2024 22:50:46 GMT
Position: Senior Data Scientist / Staff Data Scientist at StackAdapt
Company Overview:
StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions for native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower digitally-focused companies to deliver exceptional campaign performance and outcomes. Our vision is to be more than an advertising platform – we strive to be a hub of innovation, imagination, and creativity.
Job Description:
We are currently seeking a talented Data Scientist to join our engineering team and contribute to our expanding data science efforts. Our platform is connected to thousands of publishers and advertisers globally, generating millions of requests per second and making billions of decisions. Our team utilizes the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
To learn more about our Data Science team, check out our podcast with Ned Dimitrov from StackAdapt: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/
Interested in our team culture? Visit our careers page to learn more about our Data Science team: https://www.stackadapt.com/careers/data-science
Watch our talk at Amazon Tech Talks here: https://www.youtube.com/watch?v=lRqu-a4gPuU
At StackAdapt, we are a Remote First company and welcome candidates from anywhere in the UK for this position.
Responsibilities:
– Innovate machine learning (ML) algorithms to maximize ROI and advertising performance, including creating new algorithms, improving existing methods, and utilizing classic techniques.
– Write production code, collaborating with Data Engineers, to implement novel ML algorithms.
– Prototype potential algorithms and pipelines, test them with historical data, and iterate based on insights.
Qualifications:
– Master’s degree or PhD in Computer Science, Statistics, Operations Research, or a related field (dual degrees are a plus).
– Ability to break down an ambiguously defined task into actionable steps.
– Comprehensive understanding of statistics, optimization, and machine learning.
– Proficiency in coding, data structures, and algorithms.
– Enjoy working in a friendly, collaborative environment.
What We Offer:
– Competitive salary.
– Private Medical Insurance cover.
– Auto-enrolment into the company pension scheme.
– Work from home reimbursements.
– Coverage and support for personal development initiatives (conferences, courses, etc.).
– Generous parental leave policy.
– Friendly, welcoming, and supportive culture.
– Social and team events (virtual).
– Opportunity to take part in our walk and wander policy and work anywhere in the world for up to 90 days per year.
If this role interests you, please submit an application – we’d love to speak with you. Due to a high volume of interest, only shortlisted candidates will be contacted.
StackAdapt is committed to creating a diverse and inclusive team of collaborative, hardworking individuals striving to make a positive impact. We welcome individuals from all backgrounds and walks of life, including but not limited to race, ethnicity, gender identity, sexual orientation, religion, disability, and nationality. If you require any accommodations or support during the interview process, please let our Talent team know.
About StackAdapt:
We have been recognized for our diverse and inclusive workplace, high-performing campaigns, award-winning customer service, and innovation. Our accolades include:
– 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 various categories, including Cross-Channel Advertising.
– #LI-Remote. Apply link
