Position:
Data Scientist
Company:
StackAdapt
Location:
United States
Job Type:
Full-Time
Job Mode:
Remote
Job Requisition ID:
#LI-KR1
Years of Experience:
Not explicitly mentioned, but as per job description - entry level
Company Description:
StackAdapt is a cutting-edge advertising platform offering self-serve solutions across multiple channels, including native, display, video, connected TV, audio, in-game, and digital out-of-home advertising.
The platform is designed to empower digitally focused organizations to achieve exceptional campaign outcomes through innovation and superior performance.
Founded with a vision beyond traditional advertising, StackAdapt serves as an ecosystem fostering creativity, innovation, and technological advancements.
The company’s infrastructure supports thousands of advertisers and publishers globally, managing millions of requests per second while making billions of intelligent decisions in real time.
StackAdapt is recognized for its excellence in digital advertising, providing a collaborative and inclusive work environment for professionals in the industry.
The company operates on a fully remote model, ensuring flexibility for employees across the United States.
StackAdapt has received numerous accolades, including being named one of Ad Age’s Best Places to Work 2024 and a leader in cross-channel advertising by G2.
Commitment to diversity, equity, and inclusion is at the core of StackAdapt’s culture, welcoming individuals from all backgrounds, identities, and abilities.
Profile Overview:
The Data Scientist role at StackAdapt is centered around developing and optimizing machine learning (ML) algorithms to enhance advertising performance and return on investment (ROI).
The position requires innovation in ML techniques, including creating new algorithms, refining state-of-the-art methods, and implementing deep statistical insights.
The successful candidate will be responsible for writing and maintaining production-level code, often collaborating with Data Engineers to integrate ML models into scalable systems.
A significant part of the role includes prototyping, testing algorithms using historical data, and iterating based on performance insights.
The Data Scientist will be working in a high-volume, real-time environment that processes millions of data points every second.
This role is best suited for someone passionate about problem-solving, leveraging data science techniques, and thriving in a fast-paced, collaborative setting.
The role offers an opportunity to work with cutting-edge technology, contributing to the advancement of AI-driven advertising solutions.
The individual will play a key role in shaping the future of digital advertising through machine learning innovation.
Qualifications:
A Master’s degree or Ph.D. in Computer Science, Statistics, Operations Research, or a related field is preferred.
Strong analytical skills, with the ability to break down complex, ambiguous problems into structured, actionable steps.
Comprehensive knowledge of statistics, optimization techniques, and machine learning methodologies.
Proficiency in programming languages relevant to data science, such as Python, R, or SQL.
Strong understanding of data structures and algorithms, ensuring efficient model implementation.
Experience with production-level coding and integrating ML models into scalable systems.
Ability to prototype, test, and iterate on machine learning algorithms using historical datasets.
Excellent collaboration skills, working effectively within a team-oriented environment.
Prior experience in advertising technology or large-scale data processing is a plus but not required.
A strong desire to learn, adapt, and contribute to the company’s data science advancements.
Additional Info:
StackAdapt offers a competitive compensation package, including a base salary and equity options.
A robust benefits plan, including health insurance starting on the first day of employment.
401(k) matching program to help employees plan for their financial future.
Generous time-off policies, including three weeks of vacation, three personal care days, a cultural and belief day, and birthdays off.
A comprehensive mental health care platform to support employee well-being.
Work-from-home reimbursements to facilitate an effective remote work setup.
An optional global WeWork membership for employees who prefer a change of work environment from their home office.
Access to training, onboarding programs, and continuous professional development initiatives such as conferences and courses.
Internal certifications through StackAdapt’s programmatic training courses.
Mentorship programs with industry leaders to foster career growth.
Inclusive parental leave policies that support employees at all stages of their lives.
A dynamic, friendly, and supportive company culture that values collaboration and innovation.
Frequent social and team-building events to strengthen relationships and enhance team cohesion.
If you’re excited about this opportunity and believe your skills align with the role, we encourage you to apply. Due to high application volume, only shortlisted candidates will be contacted for interviews.
Please click here to apply.
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