Data Scientist, Marketing Analytics

At Horizon Therapeutics, we define success by the number of lives touched, lives changed, and lives saved. Our global biotechnology company is made up of agile, out-of-the-box thinkers with a focus on delivering breakthrough medicines to those living with rare, autoimmune, and severe inflammatory diseases.

This is the heart of our global mission. Start a career that enables you to live up to your potential and help others live up to theirs. Join us.

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.

The exceptional support we provide patients and communities equally extends to our employees. We offer industry-leading and award-winning benefits, compensation and rewards programs that positively impact all areas of our employees’ personal and professional lives.

Position Summary :

The Data Science team at Horizon Therapeutics is looking for an extraordinary data scientist who is passionate about crafting, developing, and fielding data science solutions that drives impact for patients.

This role will be responsible for applying artificial intelligence and advanced analytics analyzing, optimizing, and reporting on marketing campaigns.

The Data Scientist will deliver marketing analytics to understand the effectiveness of our marketing initiatives, campaign performance, KPIs, and providing actionable insight to inform decision making.

The Data Scientist will conduct modeling processes from end-to-end including data pulling, cleaning, model building, calibration, cross-validation, and maximizing model accuracy.

They will build and maintain optimization and simulation models to help improve marketing reach, frequency exposure and minimize spend across media channels.

They will also design data visualizations and presentations to communicate model performance and business impact to brand teams and explain complex models in simple terms.

Lastly, this individual should have a proven ability to handle time-sensitive projects, prioritize multiple objectives simultaneously, work independently and pay attention to detail, and to drive projects to completion for ad hoc or deep dive measurement and analytics.

Qualifications and Skills Required :

• Master’s with 2+ year of experience in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline
• Strong working knowledge of AI-type algorithms, including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and / or Bayesian models
• Familiarity with Healthcare Data, Real World Data, Clinical Coding Systems, Claims data, EMR, and understanding of data analysis workflows
• Proficiency with Python and SQL
• Ability to execute with limited guidance and provide business insights to stakeholders

Our Values :

• Transparency : We value collaboration. Trusting each other and tackling tough challenges can make a powerful difference.
• Accountability : We do what’s right for our patient communities through quality decisions and owning our successes and failures.
• Growth : We fiercely innovate and evolve to better ourselves, our communities and our patients.

These three values come to life through our five Leadership Expectations that apply to all Horizon employees :

• Enterprise Mindset : Look beyond one’s team, brand or function to see the broader company and external perspective
• Exhibit Intellectual Curiosity : Seek to understand what you do not know; ask the right questions of the right people and sources
• Ensure Accountability and Courage : Step up to address difficult issues and hold self and others accountable to commitments
• Embrace Diverse Perspectives : Welcome others with a respectful attitude; integrate diverse perspectives into ways of working
• Develop Talent : Provide feedback, coaching and mentorship to help others be more effective in their role

At Horizon, we know that disease does not discriminate. We embrace the bold ideas of one another, foster a sense of belonging, and value inclusion.

We attract and develop diverse talent because we believe that when people from different backgrounds and life experiences come together, we make lives better.

Horizon intends that all qualified applications are given equal opportunity, and that selection decisions be based on job-related factors.

We do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristics protected by law.

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