Data Scientist

The COOL Company • Full-time • Remote (United States) • 4w ago

About the COOL company

At the COOL company, we believe in creating a win-win environment where everyone benefits. We are committed to ensuring users, publishers, franchisees, and advertisers all have a better experience and achieve more than they ever thought possible through our innovation, advanced AI, groundbreaking advertising technology, and teams of inspired experts. Our every move, expansion, acquisition, and upgrade is done to provide that better experience for an ever-growing list of satisfied clients and users all over the world.

Brands under the COOL company include ADventori, a data-driven, creative ad server capable of personalizing, automating, measuring, and optimizing digital ads and placements for advertisers; Balihoo, a complete advertising management platform for franchise and network businesses; COOL Media, a managed service solution for agencies and brands to reach and measure audiences; Insticator, a premier SSP and engagement platform for publishers; and OKO Digital, delivering website and app publishers everything they need to maximize their ad revenue.

Collectively, the COOL company reaches over 350 million consumers monthly across their network of premium publishers and advertisers, including Disney, Hyundai, Air France, Kohler, Suzuki, Acer, Pearle Vision, Trek, Brita, Viking Cruises, MLB, Playmaker, Blitz, Evolve Media, and more. Under the former umbrella of Insticator, the COOL company is a proud 7x recipient of the Inc 5000 list of America's fastest-growing private companies, a 2x recipient of Deloitte's Fast 500, recognized on Crain's New York Fast 50 list, recognized by Digiday's Digiday Media Awards as a company working to modernize digital media, and awarded as one of AdWeek's Top 10 Fastest Growing Solution Providers globally.

Our Core Values

At the COOL company, we believe in being C.O.O.L.:

Creative

Optimistic

Open-Minded

Leaders

We creatively integrate new elements in innovative combinations, fueled by our optimism to drive success. Our open-mindedness allows us to embrace new ideas and approaches, empowering us to lead our industry through bold initiatives. That’s the attitude we bring to work with us every day, and it’s what we expect from everyone who works here.

That’s just part of the values that drive us to greatness. We also believe in this trio of truths that inform every decision we make and everything we do:

Sleeves Up: At the COOL company, we provide you with the autonomy and creativity needed to own your role. We encourage iteration where necessary so that you can drive massive impact.
100% Viewability: the COOL company is passionate about open feedback at all levels of the company. This allows us to fail fast, create in real-time, and build an open company culture.

Be Defiantly Great: We're defiant, and that's in our blood. Challenging the status quo is a central part of who we are. We're capable of much more than what others deem impossible.

About the Role

Job Overview

We are seeking a Data Scientist with a keen focus on optimizing revenue for both the COOL company and our partners. This role is crucial in enhancing our company’s advertisement system, with a special emphasis on maximizing monetization through effective data utility. Your work will directly impact our constantly evolving ad serving technology, offering key insights to the ad engineering team for the development of new features and functionalities that deliver the best possible advertising experience in the market.

Challenges and Opportunities for the position

Serving billions of impressions per month on a variety of websites with different audiences, we collect data from our publisher embed technology and use this data to serve better advertisements for our publishers. We are currently working with 2000+ sites with different configurations, so we provide a single solution that allows us to create unique customizations, allowing us to tailor solutions per site. An end user will have a great experience no matter the client they use, as we support both desktop and mobile clients and support a large range of browsing technologies. Our ad serving technology is constantly evolving, as we enhance existing features, add new features, optimize performance and test new ideas.

In this role, you will be at the forefront of our data-driven strategy, analyzing vast datasets from diverse sources. Your expertise will guide the optimization of ad delivery, driving maximum revenue potential, while ensuring that user experiences are at an optimal level.

Responsibilities and Duties.

Develop and refine advanced machine learning models and algorithms to optimize bidding strategies
Analyze data from Google Ad Manager and other SSPs to understand market dynamics and identify revenue maximization opportunities
Design and evaluate different pricing rules and their impact to network yield
Work on predictive models to forecast user engagement and other relevant metrics
Collaborate with the ad engineering team to integrate data science insights into existing platforms
Continuously monitor model performance and fine-tune as needed
Stay updated with the latest trends and technologies in the AdTech space
Ensure data integrity and compliance with federal, state-level, sector-specific and GDPR data protection regulations.

Professional competencies

Bachelor’s or Master’s degree in Data Science, Software Engineering, Computer Science, Statistics or other scientific or quantitative fields
3+ years of experience in a data science role within the AdTech domain. The ideal candidate should have a proven track record of analyzing complex and diverse datasets, particularly those derived from header bidding processes, Google Ad Manager, and comparable ad serving platforms. This experience should include a deep understanding of the nuances and dynamics of online advertising data, as well as a demonstrated ability to extract actionable insights from these datasets to drive revenue optimization
Experience in A/B testing for pricing optimization
Strong knowledge of data science frameworks, machine learning, statistical modeling and data mining techniques
Proven experience with SQL in any flavor (MySQL, PostgreSQL, Microsoft SQL Server, SnowSQL, etc.) with proficiency in writing complex queries for data manipulation and analysis
Proven technical knowledge in a data-focused programming language, such as R, Python or Julia
Expertise in AWS cloud services specific to Storage (S3, EFS, etc.), Databases (RDS, Redshift, etc.), Analytics (Athena, AWS Glue, etc.), Machine Learning (Sagemaker, Forecast, etc.), and Compute (EC2, Lambda, etc.) or equivalent services on other cloud platforms such as Azure or GCP
Deep experience with supervised and unsupervised machine learning frameworks and statistical modeling techniques
Experience with big data technologies and tools such as Apache Hadoop, Apache Spark, Apache Hive, Rapidminer, or Elasticsearch
Familiar with software engineering best practices such as unit testing, code reviews, design, and documentation
Ability to present data and analytical findings effectively to both technical and non-technical audiences