Associate Computer Science Jobs in Islip, NY (NOW HIRING)

Agency:
PHd
Job Function:
Data and Analytics
Job Subfunction:
Data Science and AI
Job Description:
PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work.
Team Overview
At PHD, we provide our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands to connect better with the customers. They process and integrate big data in data clean rooms from media advertising platforms including the first party and the third-party data and support business insights and growth solutions.
Our data scientists build advanced predictive models utilizing machine learning and advanced statistic. PHD data scientists leverage data to address various types of marketing challenges such as audience creation, segmentation, identifying audience journey, optimization, digital attribution, customer retention, customer behavior prediction, and cross channel customer experience.
The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients' business goals.
Responsibilities
External facing responsibilities:
Partner with Planning & Investment teams to provide expert hands-on Data Science support across the entire campaign lifecycle.
Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/publishers
Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)
Strong project management skills with an ability to set priorities, meet deadlines and know when to ask for help
Leverage technical (coding) expertise to help bring about process efficiencies
Internal facing responsibilities:
Contribute to building decks and reports that help translate analytical results to internal and client teams
Contribute to building DS Practice knowledge repository via decks, documents, and other artifacts
Lead and train managers and other junior team members
Required Skills
Hands-on programming language skills (SQL, Python, R, etc)
Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information
Advanced presentation and communication skills
Some experience working with non-technical teams
Knowledge of digital clean rooms, and their related concepts and strategy
Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
Demonstrated domain knowledge of business/industry
Education and Experience
A university degree in mathematics, computer science, statistics or related field, and 5-7 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
Knowledge of agency-side execution process is desirable, but not required
#LI-CC2$70,000 - $125,000
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
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For US Job Seekers:
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