Director - Data Scientist, Lilly Gene Therapy
Scorpion Therapeutics, Indianapolis, Indiana, us, 46262
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
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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
#J-18808-Ljbffr