Director of Data Science (Supply Side) (Valley Stream)

insticator in Valley Stream, NY

  • Industry: Information Technology - Data Architect/Analyst/Administrator
  • Type: Full Time
  • $115,435.00 - 200,310.00
position filled

Insticator improves engagement and increases ad revenue for publishers by providing interactive content while simultaneously increasing site views and driving purchase intent for brands.

Over 350 million consumers are reached monthly across Insticators vast network of elite publishing partners, including: Warner Bros., Ancestry.com, Tribune Media, Rodale, Evolve Media, Crave Media, The Atlantic, Toronto Sun, and more.

Insticator empowers more than 6,000 content creators monthly, monetizing content opportunities for publishers and brands. We are a Inc 5,000 company and a Red Herring Global 100 recipient.

The Insticator Values

We recruit, promote, and reward based off of our four core values:

Sleeves Up - At Insticator we provide the autonomy and creativity needed to own your role, iterate where needed and drive impact on a massive scale.

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 Defiantly Great - We are defiant, thats in our lifeblood, we accomplish what other people think are impossible. Challenging the status quo is our lifeblood.

Unconditional Empathy - Our customers are real people with real business needs, and we are here to listen and tackle accordingly. If we care and respect each other, there is no challenge we cant overcome.

Job Overview

Insticator is seeking an experienced Director of Data Science (Supply Side) to lead fast-paced initiatives, overseeing projects from idea conception and strategy development to deployment, production, and operations. This role will be to lead our data science operation at Insticator and be responsible for all our ad engineering data and to drive an increase in overall data revenue. Your work will directly and significantly impact the success of our company.

We are seeking someone who understands how to create new data processes, cleanse data, and verify the integrity of the data used for analysis. You will also be responsible for enhancing data collection procedures to include information that is relevant for building analytic systems. This role will be tasked with building a small team within the first 12 months.

Responsibilities and Duties

  • Organize all ad engineering data and create process for optimizing yield
  • Have a system and process for on boarding another Data Scientists to work within the Data Science Team
  • Rapidly prototype models, including creation, training, and evaluation to drive business objectives
  • Communicate findings and solutions clearly to a variety of audiences, e.g. writing clear, comprehensive specs for engineers or explaining algorithmic concepts to product managers
  • Achieve 10% revenue increase
  • Use machine learning techniques, visualizations, statistical analysis, etc. to gain insight into various data sets some of which are readily available, and some of which you create and curate yourself (using technology such as Python, Pandas, Hadoop, Hive, or Spark)
  • Create process to quickly determine the results of a/b tests launched by the ops/product teams
  • Find gaps in data or data anomalies that lead to revenue opportunities
Qualifications.
  • 5-7 years of experience working with large data sets in a business context experience with machine learning techniques a plus
  • Hands-on attitude toward problem-solving, including a willingness to dig into terabytes of data and quickly construct tools or models
  • Proficiency with SQL and at least one other common scripting or compiled programming language (Python, Java, and/or Scala a plus)
  • Experience working in an Advertising Technology environment
  • Creative confidence
  • Collaborative mindset and great teamwork skills
  • Skilled at receiving feedback, as well as providing it
  • Entrepreneurial & adaptable; great learning skills
  • Curious, research-minded, data-informed
Full time employment benefits

We offer a diverse package and the chance to grow financially with the company, including:

  • Commission and Bonuses
  • Health, Dental and Vision Insurance
  • Annual Performance Bonus
  • Stock options (so you have ownership in the company and benefit as it grows)
  • Standing desks and top of the line computers
  • 401k
  • Free breakfast and lunch on Fridays and office snacks
  • We sponsor H1B Visas and Green Cards
  • Paid Maternity and Paternity Leave

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Associated topics: data administrator, data architect, data integration, data management, data warehousing, database, hbase, mongo database, mongo database administrator, sql

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