Senior Data Scientist / Staff Data Scientist

StackAdapt; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

A leading company in advertising technology is seeking a senior-level Data Scientist to enhance their data science efforts. The role involves innovating machine learning algorithms, collaborating on production code, and leveraging statistical methods to improve advertising performance. This remote-first position welcomes candidates from various locations, emphasizing a supportive and inclusive culture.

Benefits

Competitive salary

Private Medical Insurance

Auto-enrollment in the company pension scheme

Work from home reimbursements

Support for personal development

Parental leave policies

Supportive, friendly culture

Social and team events

Ability to work anywhere for up to 90 days

Qualifications

• Ability to break down ambiguously defined tasks into actionable steps.
• Comprehensive understanding of statistics, optimization, and machine learning.

Responsibilities

• Innovate ML algorithms to maximize ROI and advertising performance.
• Write production code, collaborating with Data Engineers.
• Prototype algorithms and pipelines, testing with historical data.

Skills

Machine Learning

Statistics

Optimization

Coding

Data Structures

Algorithms

Education

Masters or PhD in Computer Science

Masters or PhD in Statistics

Masters or PhD in Operations Research

Job description

StackAdapt is a self-serve advertising platform specializing 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. Founded with a vision to be more than just an advertising platform, it’s a hub of innovation, imagination, and creativity.

We are seeking a talented senior-level Data Scientist to join our engineering team as we expand our data science efforts. Our platform connects to thousands of publishers and advertisers worldwide, handling millions of requests per second and making billions of decisions. We utilize the latest technologies to address challenges in traffic, data storage, machine learning, and scalability.

Learn more about our Data Science Team:

https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/

Discover our team culture:

https://www.stackadapt.com/careers/data-science

Watch our Amazon Tech Talks:

https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a Remote First company, and we welcome candidates located anywhere in the UK for this role.

What you'll be doing:

• Innovate ML algorithms to maximize ROI and advertising performance, including creating new algorithms, improving state-of-the-art methods, and developing solutions based on a deep understanding of classic techniques.
• Write production code, collaborating with Data Engineers as needed to implement novel ML algorithms.
• Prototype potential algorithms and pipelines, test them using historical data, and iterate based on insights.

What you'll bring:

• A Masters or PhD in Computer Science, Statistics, Operations Research, or a related field; dual degrees are a plus.
• The ability to break down ambiguously defined tasks into actionable steps.
• A comprehensive understanding of statistics, optimization, and machine learning.
• Proficiency in coding, data structures, and algorithms.
• A collaborative and friendly work style.

What StackAdapters enjoy:

• Competitive salary
• Private Medical Insurance
• Auto-enrollment in the company pension scheme
• Work from home reimbursements
• Support for personal development (conferences, courses, etc.)
• Parental leave policies
• A supportive, friendly culture
• Social and team events (virtually!)
• The ability to work anywhere in the world for up to 90 days a year under our walk and wander policy

If this role interests you, please submit an application. Due to high volume, only shortlisted candidates will be contacted.

At StackAdapt, we celebrate diversity and inclusion. No matter your background, identity, or circumstances, you are welcome here. If you require accommodations during the interview process, please let our Talent team know.

About StackAdapt:

We are recognized for our diverse and supportive workplace, high-performing campaigns, award-winning customer service, and innovation. Our accolades include:

Ad Age Best Places to Work 2024

G2 Top Software and Marketing Products 2024

Campaign’s Best Places to Work 2023 (UK)

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

#1 DSP on G2 and leader in Cross-Channel Advertising

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