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About the Role

We are seeking a Director to enhance our Data Sciences/Advanced Analytics/Modeling capability. This role involves providing strategic thought leadership and subject matter expertise to improve our offerings and bring new opportunities to clients. The ideal candidate possesses deep analytical expertise, business acumen, a strategic mindset, and strong client management skills, with a passion for building new capabilities and teams.

Responsibilities

Leverage advanced analytic techniques to drive marketing performance and optimize consumer experiences.
Work with complex data structures, cleanse data, and perform statistical analyses including MMM, MTA, and predictive modeling.
Measure and optimize full-funnel, performance marketing initiatives for effectiveness and ROI.
Lead advanced analytics engagements from start-to-finish, including stakeholder interviews, proposing solutions, managing timelines, conducting analyses, generating insights, and delivering presentations.
Effectively manage the advanced analytics/modeling lifecycle, from business question definition to data acquisition, preparation, model development, validation, and visualization.
Self-sufficiently manage reporting responsibilities and analytical projects with guidance from senior team members.
Independently deliver results and presentations to internal stakeholders and clients.
Produce easy-to-understand, error-free, and timely deliverables that provide actionable insights.
Clearly define and manage project deliverables, timelines, and dependencies for junior team members, internal stakeholders, and clients.
Support the development of measurement strategies, learning agendas, and roadmaps.
Provide training, project support, and career advice to junior team members.
Connect the dots, glean insights, find the story, and articulate meaning to address business questions, identify insights, and recommend strategic actions.
Devise and implement efficient and secure procedures for data handling and analysis.
Help provide strategic thought leadership and subject matter expertise on advanced analytical techniques.
Help establish and instill standards, methods, and best practices for the Marketing Sciences practice.
Provide actionable insights to media strategy and execution teams to optimize media tactics and campaigns.
Conduct deep dive analytics and statistical/machine learning modeling for precision audience targeting and bidding optimization.
Design experiments to optimize media.

Requirements

Hands-on experience with various advanced statistical modeling techniques (e.g., Bayesian Networks Inference, linear and non-linear regression, hierarchical mixed models/multi-level) and quantitative analysis (e.g., media response modeling, forecasting, time series analysis, multivariate statistical analysis, factor analysis, regression analysis, propensity).
Knowledge of database structure and functionality.
Hands-on experience with data manipulation and statistical/analytical software packages (R, MATLAB, SPlus, Stata, SAS, SPSS, SQL) and coding/programming languages (SQL, Python, JAVA, C++).
Experience with AWS, Hadoop, Spark, Redshift or other big data platforms.
Proficiency in Microsoft Office, particularly Excel.
Experience with ETL processes, including self-diagnosing data for errors.
Experience running regressions and thorough understanding of regression concepts.
Familiarity with statistical terms such as P-value, VIF, T-score, R2, MSE, Durbin-Watson.
Knowledge of forecasting methodologies (ARIMA, fbProphet, etc.).
Ability to calculate significant tests in various setups (e.g., comparison of means, proportions, finding minimum sample size).
Experience with Correlation, Cluster Analysis, and Factor Analysis.
Experience working with marketing mix modeling (MMM), attribution, and measurement companies.
Business Intelligence (BI)/Visualization tool experience (Datorama, Domo, Tableau, Microstrategy, Microsoft Power BI).
Hands-on experience with aggregate, cookie, user, and event-level datasets.
Experience working with ad/mar technologies like Ad Servers, Programmatic Media & Exchanges, Marketing Clouds, Digital & Broadcast Analytics, and Web Analytics.
Experience working with location-based intelligence companies.
Experience with surveys and competitive monitoring tools.
7-10 years of work experience in a quantitative business environment.
Minimum 5 years of working with R or Python, creating code from scratch.
Minimum 4 years of SQL, creating code from scratch.
Minimum 5+ years of experience in strategic marketing/media analytics (online & offline; traditional, digital and cross-media).
Minimum of 4+ years of agency experience or in a management-consulting firm.
Minimum 5+ years of team management (with direct reports).

Skills

Advanced Analytics
Data Science
Modeling
Statistical Analysis
Marketing Performance Optimization
Data Cleansing
Marketing Mix Modeling (MMM)
Multi-Touch Attribution (MTA)
Predictive Modeling
Time Series Analysis
Regression Analysis
Cluster Analysis
Forecasting
Data Visualization
SQL
R
Python
AWS
Hadoop
Spark
Redshift
ETL
Microsoft Office
Excel
Tableau
Business Intelligence
Ad Tech
Mar Tech

Location

Remote

Work Type

Full-time

Experience Level

Director
7-10 years of work experience
5+ years of team management

Salary/Compensations

USD $135,375.00 - USD $216,684.00/Annually

Benefits

Medical coverage
Dental
Vision
Disability
401K
Parental and family care leave
Family forming assistance
Tuition reimbursement
Flexible time off
Freelancer/temporary employee medical plan (for temporary roles)
401(k) plan participation (for temporary roles)

About the Company

Spark Foundry was built during the most transformative time in the history of advertising and marketing.
We deliver everything a traditional media agency has to offer and have grown into one of the world’s most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people.
Transformation is part of our DNA.
Spark Foundry’s start-up spirit delivers high-touch approaches and a never-ending desire to challenge the status quo.
Combined with Publicis Media’s powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we “Bring HEAT to Brands.”
No other agency possesses the expertise that we do to address today’s most pressing challenges to drive business transformation through media.

Equal Opportunity

Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger.
We honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization.
We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
All your information will be kept confidential according to EEO guidelines.