Senior Director, Data Science

Description

Agency:

PHd

Job Function:

Data and Analytics

Job Subfunction:

Data Science and AI

PHD Media: Senior Director, Data Science

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.

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.

Role Overview:

We are currently seeking a Senior Director to join our Data Science team. The ideal candidate will be a data science leader with the responsibility of managing expectations of internal and external stakeholders, performing predictive modeling and data queries across a multitude of platforms in Advertising and Marketing Technology domains.

You will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insights gleaned through statistical and machine learning models, as well as data mining.

By applying machine learning and data query methods, you will be a liaison between data and our client’s decision-making process. You will also inform internal and external stakeholders and prospective clients on ways of improving business processes.

Areas of Responsibility:

Maintain a productive relationship with clients at the peer level or higher to ensure they are informed of any new activities or updates to existing projects

Participate on multi-disciplinary project teams developing marketing strategies for existing customers, as well as prospective clients

Coach and manage the learning path of other Data Science team members by standardizing processes and owning documentation

Present complex reporting, models, and dashboards of technical work to both informed and uninformed audiences through data storytelling to support media investment

Set up analysis parameters in partnership with Advertiser, Media Strategy and Digital Investment team

Build modeling and machine learning capabilities by deploying algorithms on top of our vast number of datasets, e.g., clustering, look-a-like modeling

Support Digital Attribution and Advertising Lift models built in data clean rooms

Evaluate model performance to determine cut-off points and audience targeting pools for deployment, e.g., lift charts

Obtain data from various sources, including but not limited to Amazon storage service S3, Omnicom 3P data partnerships, data clean rooms from walled-gardens , e.g., Google Ads Data Hub, Facebook Advanced Analytics, Amazon Marketing Cloud

Deploy scalable solutions to our cloud-based infrastructure to process, visualize and analyze data

Requirements

• 10+ years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry
• 8+ years of industry experience with Python, SQL, R, and other similar statistical computing environments
• Very strong written and verbal communication skills; thrive in a rapidly evolving environment
• Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
• Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields
• Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record)
• Strong command of statistical techniques and concepts
• Strong attention to detail
• A strong desire to learn and passion for digital marketing, research and analytics
• Ability to work well with others and work in cross functional teams
• Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment
• This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.

Conditions

&xa;&xa;

$120,000 - $230,000

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.

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