Lundbeck is seeking an experienced Data Science Modeler to support the measurement and analysis of marketing programs by leveraging advanced analytics and machine learning techniques to drive insights and innovation in AI, ultimately contributing to the strategic direction of their marketing initiatives.
Requirements
- 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.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with machine learning frameworks (e.g., TensorFlow, 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.
- Accredited bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. or accredited master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
Responsibilities
- 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 teams 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.
Other
- 5+ years of experience in data science, statistics, analytics, or a related field, with a focus on marketing analytics.
- Experience in vendor management working with multiple vendors and overseeing data collection processes.
- 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.
- 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
