Director, Analytics

WHAT WE NEED:Havas Edge is seeking a Director of Analytics to join our Analytics practice and help develop accurate models that predict impact of tactical media activities on our clients' business.The Director of Analytics will be responsible for managing all phases of data analytics, (data extraction, analysis, manipulation, synthesis & interpretation, and summary) along with the development, validation, testing, and maintenance of analytic tools, models, and algorithms for client projects and operational initiatives identified by Havas Edge. You will partner closely with the Vice President of Data Science and Modeling around the design, development, and maintenance of our data management and analytics environment to enable industry-leading analytic solutions that positively impact our clients' business. This role is client facing and new business presentations are part of this role.Our Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. The team partners and collaborates with multiple departments to design, develop and implement cutting-edge data pipelines, products, models, reports, analyses, and machine learning applications.Additionally, you will work closely with Data Scientists, Engineers, and internal stakeholders to ensure that most relevant real-time and historical data is identified, tracked, analyzed, and made actionable across our client portfolio.The ideal candidate exemplifies a passion for data science and analytics, can identify statistically significant causal relationships, is comfortable working with big data and developing actional insights, and is fascinated by consumer behavior.WHAT YOU'LL DO:Identify and develop innovative solutions to add to Havas Edge's advanced analytics portfolio. Evaluate tools and investment opportunities in this space that aid in our expansion of products offering.Support the Vice President with driving the departments vision, roadmap, and key projects, from requirements to delivery.Manage the design, development, validation and delivery of algorithms, statistical models, and reporting tools. The goal of these tools are to provide strategic and actional insights to stakeholders.Leverage machine learning, statistical and programming skills in analyzing large datasets to extract actionable insights that inform experimental design and model development.Establish and drive best practices for repeated application, automation of reoccurring reports, and model monitoring systems.Collaborate with Data Engineering to build critical infrastructure along the Data Science lifecycle, and help facilitate model integration and deployment.Understand business priorities to help prioritize and deliver against goals and milestones.Translate and address critical business or client questions in an actionable and reproducible manner through application of statistical models and analyses.Drive informed decision-making and present findings to both technical and non-technical audiences, stakeholders, and senior leadership; prepare and present documentation of models and analytical solutions.Partner with multiple departments, including internal and external stakeholders, to better understand requirements, find bottlenecks, and implement resolutionsProvide in-depth statistical and data analytical expertise to the Analytics team and across the organization; share statistical rigor best practices with Analytics and other internal partners.Ensure strong working relationships across the business with multiple stakeholdersAssist the Vice President with building and maintaining a team of Analytics that are empowered, thoughtful, and technically savvy; a team that emphasizes a focus on keeping clients and stakeholders at the center of everything we build, and environment that pushes others to give their best, take risks, and unlock value.In partnership with the Vice President, provide technical direction to Junior and Senior Analytics; help define and build best practices in this space, fostering innovation within the team.Mentor and develop the skillsets of the junior team members and help reach their full potential.Embrace a fast paced, collaborative environment dedicated to building atop cutting-edge technology through best-in-class machine learning initiativesWHO YOU ARE:Minimum of 8-10 years' experience as data scientist, data analyst, or related roleMinimum of 3-5 years' experience leading and/or managing a team in a technical capacityYou are a proven expert in the following visualization tools and data mining environments: R, Python, and SQLYou are proficient in statistical analysis software applications such as SAS, Stata, SPSS, or equivalentYou have advanced knowledge of relational database concepts, data hygiene, and architecture with ability to perform complex queries in a SQL Server environmentYou have proven proficiency in multivariate analytics, econometric modeling, Bayesian probability and logic, and analysis of variance, with advanced knowledge of data management concepts and its application in predictive modelingYou demonstrate an expertise in time series ensemble modeling, multivariate regression and classification, survival analysis, cluster analysis, design of experiments, and machine learning algorithms learning algorithmsYou have expert ability to identify appropriate statistical procedures to address specific business or data insight challengesYou understand complex consumer behavior and businesses concepts, including financial, operational, and strategic aspectsYou are experienced in managing multiple projects at once and prioritizing accordingly from concept to completion, all while meeting deliverable in a timely mannerYou work well under pressure, while maintaining accuracy, strict confidentiality, and a professional demeanorYou have prior experience in participating or leading presentations, talking with clarity and confidence to clients and internal stakeholders on complex topics using the data to tell and support the storyYou enjoy interacting with people at all levels of the organization (internal and external stakeholders) and fostering strong cross-functional teamworkYou have outstanding written and oral communications skills and the ability to think strategicallyYou have a desire and ability to thrive in a fast-paced, dead-line driven environmentYou value and practice a work ethic grounded in integrityPreferred Education, Experience, and Skills:Master's Degree in Data Science, Statistics, or related technical field strongly desiredMinimum 3 years' experience working with web attribution analytics preferredYou are familiar with visualization tools such as Tableau or Power BIYou are familiar with cloud technologies such as AWS, Google Cloud Platform, or Microsoft AzureWHO WE ARE:Build the Business. Build the Brand.At Havas Edge we influence people to act by combining multi-channel marketing and commerce, plus the creative and technology that powers them. Our work results in profitable growth and lasting relationships between customers and our clients' brands.We are an award-winning, international, performance marketing agency with a proven track record of helping clients succeed. We're an integrated agency that embraces every media channel; a creative powerhouse that loves data and analytics, and a passionate partner committed to giving clients more for less. With expertise across all digital, broadcast, and media domains, we help our clients build their businesses and brands - in that order.Havas Edge is part of the Edge Performance Network (EPN), a full-service, global performance marketing network. The EPN offers clients expertise in all aspects of performance marketing, from analytics to strategy, creative and production, media planning, and buying across all channels, as well as the industry's best attribution and modeling capabilities.We are a full-service, direct response agency, headquartered in Carlsbad, CA with offices and affiliated offices in Boston, MA; Dallas, TX; London, UK; Los Angeles, CA; and Paris, FR.Havas Edge is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status, or any other basis provided by federal, state, or local law.We foster a culture where ideas and decisions from all people help us grow, innovate, and create the best work to be relevant in a rapidly changing world. We offer a competitive salary, comprehensive benefits package, 401(k) match, and more! We pride ourselves on having a highly collaborative environment and seek individuals who thrive in a similar capacity. Ready to join?