Principal Data Scientist

The Principal Data Scientist will have complete oversight of data science within a platform, setting direction, building capability, overseeing resourcing, budgeting, and professionalism, and supporting future IT developments. The role will involve understanding and using a wide range of data science techniques, tools, and technologies, leading on ethics, communicating and presenting data science and data ethics effectively to senior leaders, and championing the role of data science in supporting organizational priorities.

What You Will Do

The primary responsibilities of this role include setting direction, building capability, overseeing resourcing, budgeting, and professionalism, and supporting future IT developments. The Principal Data Scientist will also be responsible for understanding and using a wide range of data science techniques, tools, and technologies, leading on ethics, communicating and presenting data science and data ethics effectively to senior leaders, and championing the role of data science in supporting organizational priorities.

Why It Might Be a Fit

Bayer seeks an incumbent who possesses strong academic background with coursework or research in machine learning, AI, statistical modeling, and data analysis, proficiency in programming languages such as Python or R for data analysis and machine learning, and advanced knowledge of statistical methods and techniques. The ideal candidate will have experience in hypothesis testing, regression analysis, clustering, and classification, and expertise in machine learning algorithms and techniques.

Requirements

• Strong academic background with coursework or research in machine learning, AI, statistical modeling, and data analysis
• Proficiency in programming languages such as Python or R for data analysis and machine learning
• Advanced knowledge of statistical methods and techniques
• Experience in hypothesis testing, regression analysis, clustering, and classification
• Expertise in machine learning algorithms and techniques
• Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark)
• Proficiency in SQL, relational database, and NoSQL databases
• Excellent verbal and written communication skills
• Experience working collaboratively in interdisciplinary teams
• Demonstrated experience in leading and mentoring other data scientists
• Ability to align data science initiatives with business objectives
• Strong decision-making skills

Benefits

• Health care
• Vision
• Dental
• Retirement
• PTO
• Sick leave
• Bonus or commission (if relevant)