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Head of Data Science and Analytics
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ConfidentialJacksonvilleHead of Data Science and Advanced AnalyticsAbout the CompanyGlobally renowned biopharmaceutical companyIndustry PharmaceuticalsType Public CompanyAbout the RoleThe Company is in search of a Head of Da
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Head of Data Science and Analytics
- Fort Lee, New Jersey, United States
- Fort Lee, New Jersey, United States
À propos
About the Company
Leading financial technology (FinTech) company specializing in payments, commerce, & consumer data
Industry Financial Services
Type Privately Held, Private Equity-backed
About the Role
The Company is seeking a Head of Data Science and Analytics to play a pivotal role in embedding data-driven decision-making into the core of marketing and business strategies. The successful candidate will be a hands-on data leader with a strong background in high-impact analytics, people development, and strategic influence. Key responsibilities include leading a team of data scientists and analysts, collaborating with cross-functional teams to understand business needs, and driving data science initiatives that enhance customer engagement and operational efficiency. The role demands a deep technical mastery in data science, particularly within a marketing context, and a passion for mentorship to foster a learning mindset within the team.
Applicants for the Head of Data Science and Analytics position at the company should have a Bachelor’s degree in a quantitative or related field, with a preference for a Master’s degree, and at least 8 years of relevant experience. The role requires proven hands-on skills in SQL, Python, and Databricks, as well as a strong background in statistical modeling, machine learning, and advanced analytics methods. Experience in marketing analytics, including attribution modeling, audience segmentation, and predictive modeling, is essential. The ideal candidate will have a proactive, results-driven approach, excellent leadership and communication skills, and the ability to present complex information to both technical and non-technical audiences. A track record of delivering value-creating projects and a focus on continuous improvement are also key qualifications for this role.
Travel Percent Less than 10%
Functions
Data Management/Analytics
Compétences linguistiques
- English
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