• Job Description

  Req#: R0013050

  Job Description

  Who We Are
  Horizon Next is one of the industry's most innovative and data-driven marketing organizations and sits at the intersection of three constantly changing landscapes: people, data, and media. Our business provides strategic leadership to accelerate growth for our clients through brand strategy, media planning and investment, and best in class analytics across all channels. As the leader in innovative business solutions, we are always pushing ourselves to understand what’s next: our next innovation, our next advancement in analytics, the market’s next media evolution, and your next breakthrough idea. Horizon Next operates with the single goal that tomorrow must outperform today.

  At Horizon Next, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together.

  Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow.

  
  Role Overview and Responsibilities
  

  This role will report to the head of the Analytics & Engineering department within Horizon Next. The Horizon Next Analytics team consists of five functional areas: Advanced Analytics (separated into Traditional Modeling and Digital Analytics), Business Intelligence, Product Management, and Data Engineering. This role will lead the Marketing Data Science team.

  The Advanced Analytics team is comprised to two team, formerly under separate leadership, but now bring merged to create a holistic team to serve all areas of advanced attribution modeling. We have an advanced tech stack and access to exciting and robust propriety products for marketing attribution. You will lead a team of 12-15 marketing scientists.

  Develop and maintain suite of marketing attribution tools/products. (25%)

  We have an existing product suite focused on solving our client’s marketing analytics questions and optimize media investments. This product suite is always evolving and is designed to be continuously reengineered and improved. It is the responsibility of for the Lead of the Advanced Analytics team to assure our tools are functioning to serve our clients. Always be willing to work outside the current framework by creating new tools by creating a novel solution. Use automation and technology to optimize and productionalize workflows to minimize lag and manual processes.

  Engage with clients and internal stakeholders on business questions and product rollout. (20%)

  Ability to engage with clients, interpreting their key business objectives by understand key facets of clients’ business. It is crucial that complex concepts can be translated for a non-technical audience.

  Work with internal account teams (referred to as the Business Solutions Team), to marry media planning with measurement and testing.

  Provide leadership and guidance to the analytics team. (20%)

  Support talent growth by providing an experience that enriches each individual’s experience. Assure team members are following code and process best practices, as well as a consistent methodology. Provide training guidance on how to improve their coding skills.

  Collaborate to assure reporting data is flowing cohesively into effective client dashboards (20%)

  Work with the Business Intelligence team to put automation and technology to use in order to increase efficiency in the data reporting process. We use proprietary tools and third-party tools to create client data visualization, (goal is to drive dashboards to be built in our proprietary data solutions). Data is automated by pipelines, then is processed for use by the Business Intelligence team. The Analytics team is responsible for creating the visualization for the clients and internal teams to show relevant information. As we move to our proprietary tool for data visualization, this will democratize the ability to create dashboards and should minimize time to create new visualizations.

  Participate in New Business Development (15%)

  Actively participate and contribute to new business RFI’s, pitches and presentations. The level of involvement will vary based on scope from analytic credentials to detailed, specific solution recommendations.

  Qualifications

  • 8+ years in the Marketing Analytics space
  • Masters/advanced degree in Statistics, Marketing Science, Computer Science, Applied Mathematics or relevant field.
  • Expertise in Python data science libraries such as Pandas, Numpy, Scipy, SciKit-Learn (or equivalent knowledge in R, though Python is preferred).
  • Hands of experience and expertise designing, optimizing, and productionalizing Marketing Mix Model from the ground up, in-depth knowledge of models such a regularized regression and MCMC Bayesian techniques.
  • Robust experience leveraging log level data such as ad server log or pixel-based data used to Multi-touch Attribution results and other close-loop models.
  • Expertise around advanced data driven Multi-Touch Attribution algorithms, such as Markov-Chain or Shapley value.
  • High levels of proficiency writing SQL code in a cloud data warehouse like Amazon Redshift, Google BigQuery, or Snowflake, and knowledge of data management best practices.
  • Extensive history constructing holdout tests and to understand marketing contribution.
  • Knowledge of digital platforms such as Meta, TTD, SA360
  • Experience with Git or similar version control system
  • Expertise in Python for statistical modeling and data manipulation

  Physical Activity and Work Environment

  None

  The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.

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  Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

  Salary Range

  $260,000.00 - $290,000.00

  A successful applicant’s actual base salary may vary based upon, but not limited to, skill sets, experience and training, licensure/certifications, and equity. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

• About the company

  Horizon Media, Inc. is the largest and fastest growing privately held media services agency in the world. The company was founded in 1989, is headquartered in New York and has a second full-service office in Los Angeles. The agency is consistently reco...

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