Manager Omnichannel Analytics

Do you want to join a team where the mission is meaningful, the challenges are complex, and you can directly see the results of your hard work? Lundbeck is a global biopharmaceutical company focusing exclusively on brain health. With more than 70 years of experience in neuroscience, we are committed to improving the lives of people with neurological and psychiatric diseases.

Lundbeck employees are inspired and driven by our purpose to advance brain health and transform lives. Join us on our journey of growth!

Remote Opportunity - Open to candidates anywhere in the greater United States

We are seeking an experienced and innovative Data Science Modeler to join our Advanced Analytics team  this role, you will support the measurement and analysis of marketing programs by leveraging advanced analytics and machine learning techniques to drive insights while driving innovation in AI. You will collaborate with cross-functional teams to develop advanced predictive models, enhance reporting capabilities, and contribute to the strategic direction of our marketing initiatives.

• Design, implement, and validate predictive models to assess the effectiveness of marketing programs and campaigns.
• Hands-on building machine learning models (classification and regression) for customer segmentation and targeting.
• Analyze large datasets to identify trends, patterns, and insights that inform marketing strategies and decision-making.
• Develop and deploy machine learning algorithms to optimize marketing efforts and enhance customer targeting.
• Implement comprehensive reporting and visualization tools to communicate findings and recommendations effectively to senior leadership and stakeholders.
• Work closely with marketing, analytics, IT, and agency partners to ensure data integrity, accessibility, and alignment with business objectives.
• Stay up-to-date with industry trends and emerging technologies in AI and machine learning, promoting a culture of continuous improvement and innovation within the organization.
• Provide technical expertise across the team.
• Supervise vendor resources on day-to-day tasks.
• Ensure thorough documentation of methodologies, processes, and model performance to ensure reproducibility and knowledge sharing.

• Accredited Bachelor's degree.
• 5+ years of experience in data science, statistics, analytics, or a related field, with a focus on marketing analytics.
• Proven experience in leading analytic projects and hands-on developing predictive models and machine learning algorithms, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), customer segmentation and lead scoring.
• Experience in vendor management working with multiple vendors and overseeing data collection processes.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks (e.g., Tensor Flow, Scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights.
• Excellent verbal and written communication skills, with the ability to present findings to both technical and non-technical audiences.
• Demonstrated ability to lead and motivate teams, manage projects, and drive strategic initiatives.
• Ability to work collaboratively in a fast-paced, dynamic environment.

• Strong Preference to be based in Deerfield, IL Office.
• Accredited bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, or accredited master’s degree in a related field.
• Cross-industry experience, with a demonstrated ability to apply analytics techniques in diverse contexts (e.g., retail, finance, healthcare, technology).

• Willingness/Ability to travel up to 25% domestically. International travel may be required.
• If based remotely, additional travel may be required to Deerfield, IL, to meet the needs of the role and the business.

The range displayed is a national range, and if selected for this role, may vary based on…