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Principal Data Scientist Jobs in Pennsylvania

Principal Data Scientist Jobs
By GSK At Philadelphia, PA, United States
Collaborate with cross-functional teams to understand business requirements, identify opportunities for data-driven insights, and translate these into actionable solutions.
7+ years of experience in data science, machine learning, or advanced analytics roles.
Experience with AI, large language models, and machine learning techniques, including supervised and unsupervised learning, natural language processing, and deep learning.
Experience with big data technologies, such as Spark, and cloud platforms, such as Azure.
Strong programming skills in Python, R, or other relevant languages.
Exceptional communication and presentation skills, with the ability to convey complex ideas in a clear and concise manner.
Principal Scientist, Expression Sciences
By Johnson & Johnson At Spring House, PA, United States
Excellent leadership and project management skills to lead multidisciplinary teams and drive scientific initiatives is required.
Experience with data analysis software, programming languages (Python, R), and laboratory information management systems (LIMS) is preferred.
Experience with engineering CHO/HEK cell line for altering expression level/post translational modification such as glycoengineering is preferred.
Knowledge of microfluidics droplet generation and screening is preferred.
Experience with protein engineering of therapeutic proteins such as antibodies and cytokines is preferred.
Knowledge of plasmid DNA design for optimizing protein expression is preferred.

Are you a data-driven problem solver looking to make an impact? We are looking for a Principal Data Scientist to join our team and help us unlock the potential of data to drive our business forward. You will be responsible for developing and leading data-driven initiatives, leveraging advanced analytics and machine learning techniques to solve complex business problems. If you are passionate about data and have a track record of success, we want to hear from you!

A Principal Data Scientist is a highly experienced and knowledgeable professional who is responsible for leading data science initiatives and developing data-driven solutions for an organization. They are responsible for developing and implementing data-driven strategies, building and managing data science teams, and ensuring the accuracy and integrity of data.

What is Principal Data Scientist Job Skills Required?

• Advanced knowledge of data science principles, algorithms, and techniques
• Expertise in data mining, machine learning, and predictive analytics
• Proficiency in programming languages such as Python, R, and SQL
• Ability to interpret and analyze complex data sets
• Excellent communication and problem-solving skills
• Ability to work independently and collaboratively

What is Principal Data Scientist Job Qualifications?

• Bachelor’s degree in computer science, mathematics, statistics, or a related field
• Master’s degree in data science, computer science, mathematics, or a related field
• 5+ years of experience in data science, analytics, or a related field
• Experience leading data science projects and teams
• Certification in data science or related field

What is Principal Data Scientist Job Knowledge?

• Knowledge of data science principles, algorithms, and techniques
• Knowledge of data mining, machine learning, and predictive analytics
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data visualization tools and techniques
• Knowledge of data security and privacy protocols

What is Principal Data Scientist Job Experience?

• 5+ years of experience in data science, analytics, or a related field
• Experience leading data science projects and teams
• Experience with data visualization tools and techniques
• Experience with data security and privacy protocols

What is Principal Data Scientist Job Responsibilities?

• Develop and implement data-driven strategies
• Build and manage data science teams
• Analyze complex data sets and interpret results
• Develop data-driven solutions to business problems
• Ensure accuracy and integrity of data
• Collaborate with stakeholders to identify data-driven opportunities
• Monitor and evaluate data science initiatives
• Stay up-to-date with industry trends and best practices