Director - Data Scientist, Lilly Gene Therapy

Responsibilities

• Lead and mentor a team of data scientists to deliver impactful analytics solutions.
• Develop and implement the organization's strategic vision for data science and AI, aligning with business goals.
• Collaborate with executives and leaders to address key business challenges using data science.
• Drive the creation and implementation of advanced machine learning and AI models to solve complex problems.
• Ensure best practices in model development, validation, and deployment.
• Stay updated on emerging trends and suggest innovative solutions.
• Work with data engineering and IT teams to ensure data availability, scalability, and accessibility.
• Oversee the optimization of data pipelines and workflows for large-scale analysis.
• Integrate data science insights into business processes across various departments.
• Provide strategic guidance on data insights to inform business decisions.
• Present analytical insights and recommendations to senior executives clearly and concisely.
• Lead reporting and performance tracking for data science initiatives, including KPIs and impact assessments.
• Hire and manage a growing team to meet program timelines.
• Help data scientists communicate complex information to a cross-functional audience.

Qualifications

• Required: PhD with 5+ years of industry experience or BS/MS with 15+ years of related experience.
• Preferred: Proven track record of successfully leading large-scale data science and AI initiatives across various business functions.
• Preferred: Strong experience with machine learning algorithms, statistical modeling, and predictive analytics.
• Preferred: Deep understanding of data engineering and data infrastructure, with a strong ability to collaborate with technical teams to build scalable solutions.
• Preferred: Expertise in programming languages such as Python, R, SQL, and familiarity with big data technologies like Hadoop, Spark, and cloud platforms (e.g., AWS, GCP, Azure).
• Preferred: Exceptional problem-solving and analytical thinking.
• Preferred: Strong leadership, team-building, and mentoring skills.
• Preferred: Excellent communication skills, with the ability to translate complex technical concepts into clear business strategies.
• Preferred: Strong project management skills, with experience leading cross-functional teams and driving initiatives from concept to execution.

Skills

• Data science leadership
• Machine learning algorithms
• Statistical modeling
• Predictive analytics
• Data engineering collaboration
• Scalable data infrastructure
• Programming: Python, R, SQL
• Big data technologies: Hadoop, Spark
• Cloud platforms: AWS, GCP, Azure
• Strategic thinking and business translation
• Cross-functional collaboration
• Communication of complex concepts

Education

• PhD with 5+ years of industry experience or BS/MS with 15+ years of related experience