Data Scientist/Senior Data Scientist

About Insticator

At Insticator, we believe three things – the future of social media is distributed and not siloed in the walled gardens of today; publishers deserve a one-stop shop for maximizing ad revenue; and local brick-and-mortar businesses thrive with digital media automation.

That's why our suite of engagement, ad monetization, and SaaS and media products do just that. Beyond tangible ROI from working with us, the first-party data we collect puts publishers back in the driver's seat to better understand and index audience behavior and allows for extreme precision targeting for the brands we represent.

Insticator's engagement products are geared towards helping publishers establish a strong sense of social community within their ecosystems by enticing users to be more engaged with site content and amongst each other. OKO's ad monetization platform is the ultimate toolkit for publishers. And our newest sister company, Balihoo, supercharges digital media for franchise brands as the leader in multi-location marketing.

We collectively reach over 350 million consumers monthly across our network of premium publishers and advertisers, including Kohler, Pearle Vision, Trek, Ancestry, Investing Channel, Brit+Co, Evolve Media, and many more.

Insticator is proud to be a 6x 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.

Insticator’s Core Values

• Sleeves Up: At Insticator, 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: Insticator 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 Definitely 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 Insticator and our partners. This role is crucial in enhancing Insticator’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.
  
  

Qualifications.

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
  
  

Cultural Competencies

• Must be able to work primarily between the hours of 9:30 AM - 6:30 PM ET
• Must have a player/coach mentality, willing to both execute and lead
• Ability to juggle multiple projects concurrently and set and meet deadlines
• Skilled at receiving and providing direct feedback
• Collaborative mindset and great teamwork skills
• Entrepreneurial & adaptable; great learning skills
• Curious, research-minded, data-informed
• Able to search for possible solutions and apply them
• Creative confidence
• Proactive communicator
• A sense of humor and a love of online culture
• Thrives in a start-up culture
  
  

Benefits

• Competitive Salary
• Paid Time Off