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Principal Data Scientist Jobs in Iowa

Principal Clinical Data Scientist
By Syneos Health Clinical At , Remote $109,711 - $175,700 a year
Strong project management skills and knowledge of project management methodologies
Experience in Clinical Data Science practices and relational database management software systems
Good organizational, planning, and time management skills with the ability to multitask under tight deadlines while providing attention to detail
Clinical Data Science experience or an equivalent combination of education and experience
Strong analytical skills and knowledge of Artificial intelligence /machine learning methodologies preferred
Knowledge of medical terminology, clinical data, and ICH/GCP regulatory requirements for clinical studies, in particular requirements applicable to Clinical Data Sciences
Principal Data Engineer Jobs
By Volkswagen Group of America - Chattanooga Operations At , Remote $98,600 - $150,500 a year
Time management and organizational skills, with ability to meet tight deadlines when internal or external customers have urgent needs
Excellent teamwork and cross-functional team management skills
Work together with Manager on concepts to optimize the way EA transforms and reports on data
10+ years of relevant experience
10+ years’ experience in Data Analysis and Quality
Robust problem-solving and analytical skills
Principal Scientist, Cancer Vaccines Translational Research
By Moderna Therapeutics At , Cambridge, 02139, Ma
Vacation, sick time and holidays
Volunteer time to participate within your community
Paid sabbatical after 5 years; every 3 years thereafter
Here’s What You’ll Bring to the Table:
Generous paid time off, including:

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