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Omnicom Health Group is the largest healthcare marketing and communications network in the world—partnering with clients to achieve meaningful change through better, more innovative communications. With more than 5,000 dedicated healthcare communications specialists from every corner of science, medicine, marketing, and communications, we recognize that it takes the best of talent to deliver the best of health.

When you join Omnicom Health Group, you have access to opportunities across the most networked network.  What does this mean for you?  Your journey may start with one Omnicom Health Group company then pivot to another, followed by a move to another where you take your career in a whole new direction building your skills and experience each step on your journey.  We’re eager for you to carve a path that works for you – and we’ll help you make it happen. 

Title: Senior Data Scientist

Company / Location: Omnicom Health Group / New York or Pennsylvania

Department / Discipline: Technology – Data Solutions

Competencies:  Attention to Detail, Numbers Whiz, Customer Focus

Overview:  The Senior Data Scientist will be a marketing science data innovator throughout the organization.  S/He has strong expertise in predictive modeling, statistical analysis, and data visualization as well as the ability to clearly communicate complex analysis to non-technical healthcare leader and brand marketer audiences. This person will be responsible for drawing inferences by designing experiments, statistical models, and machine learning algorithms that will have broad brand application and marketing impact.

Responsibilities:

• Data management and analysis, including standardizing data, data cleansing, loading and managing data visualization tools.
• Create data visualizations and reports for agency clients, that will ultimately be presented to end customers by the agency
• Understand requirements for data analytics projects, craft approach and complete the analyses
• Develop statistical models to predict marketing and campaign performance
• Explain complex statistical models to non-technical audiences
• Work closely with analyst teams from across multiple agencies
• Contribute to client data analytics assignments and participate in client meetings as appropriate

Qualifications and Experience:

• BA/BS in econometrics, statistics, mathematics, computer science or other technical field
• A minimum of 2-5 years of relevant experience with a background in marketing metrics and media data
• Skilled/certified in GA4, Adobe Analytics
• Experience analyzing and conducting statistical modeling and machine learning over disparate datasets, along with a background in predictive analytics, machine learning, data mining, pattern recognition, information retrieval, causal inference, experimental design and analysis 
• Expertise using analysis packages and tools such as R, Python, STATA or SAS
• Strong ability to communicate complex statistical/technical concepts to a variety of non-technical audiences
• Proficiency with data visualization tools such as PowerBI or similar
• Ability to work successfully in a fast-paced, ever-changing environment.
• Healthcare, or Life Science, industry expertise beneficial

The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States.   Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.

• $85,500 - $92,500

Omnicom Health Group is committed to hiring and developing exceptional talent. We agree that talent is equally distributed, and we’re focused on developing diverse teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you.