Data Science Director

5 days ago

Reston, Virginia, United States Havas Edge Full time
About the Role

Havas Edge is seeking a highly skilled Director of Analytics to join our team and drive business growth through data-driven insights. As a key member of our Analytics practice, you will be responsible for developing and implementing advanced analytics solutions that inform business decisions and drive revenue.

Key Responsibilities
  • Lead the development of data-driven strategies and solutions that drive business growth and revenue
  • Manage and mentor a team of analytics professionals to ensure delivery of high-quality results
  • Collaborate with cross-functional teams to integrate analytics insights into business decisions
  • Develop and maintain advanced analytics models and tools to support business needs
  • Provide data-driven insights and recommendations to senior leadership and stakeholders
  • Stay up-to-date with industry trends and emerging technologies to ensure our analytics capabilities remain cutting-edge
Requirements
  • Minimum 8-10 years of experience in data science, analytics, or a related field
  • Minimum 3-5 years of experience leading and/or managing a team in a technical capacity
  • Proven expertise in data visualization tools and data mining environments, including R, Python, and SQL
  • Proficiency in statistical analysis software applications, such as SAS, Stata, SPSS, or equivalent
  • Advanced knowledge of relational database concepts, data hygiene, and architecture, with ability to perform complex queries in a SQL Server environment
  • 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 modeling
  • Expert ability to identify appropriate statistical procedures to address specific business or data insight challenges
  • Understanding of complex consumer behavior and business concepts, including financial, operational, and strategic aspects
  • Experience in managing multiple projects at once and prioritizing accordingly from concept to completion, all while meeting deliverables in a timely manner
  • Ability to work well under pressure, while maintaining accuracy, strict confidentiality, and a professional demeanor
  • Experience in presenting complex data insights to both technical and non-technical audiences, stakeholders, and senior leadership
  • Strong written and oral communication skills, with ability to think strategically
  • Desire and ability to thrive in a fast-paced, deadline-driven environment
  • Value and practice a work ethic grounded in integrity
Preferred Qualifications
  • Master's Degree in Data Science, Statistics, or related technical field
  • Minimum 3 years of experience working with web attribution analytics
  • Familiarity with visualization tools, such as Tableau or Power BI
  • Familiarity with cloud technologies, such as AWS, Google Cloud Platform, or Microsoft Azure
About Havas Edge

Havas Edge is 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.

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. 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?

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