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Principal Data Scientist Jobs in California

Principal Data Scientist Jobs
By Intuit At Mountain View, CA, United States

Intuit is hiring a Principal Data Scientist to join our Intuit AI team. Come join our collaborative and creative group of data scientists and machine learning engineers and build models that ...

R&D Principal Packaging Scientist
By The Clorox Company At Pleasanton, CA, United States
Create new, improved packaging capabilities and technologies that benefit projects, core technical competencies or multiple BUs.
Minimum 7 years of technical packaging experience, CPG industry preferred.
Provide packaging leadership of technical programs and complex projects.
Drive competitive insulation via IP protection or exclusivity.
Build preliminary business cases to justify new packaging technology that delivers consumer value, Clorox financials, and against our sustainability goals.
Act as technical advisor to BU, R&D leadership, key projects and teams to enable technical success within and across sprays.
Principal Scientist, Biologics Research
By Neurocrine Biosciences At San Diego, CA, United States
Advanced planning, organization and time management skills including the ability to support and prioritize multiple projects
Executes on strategy, vision, and direction set by line management
Performs other tasks and assignments as needed and specified by management
Familiar knowledge of CMC and regulatory requirements, including the development of process and product specifications and writing and reviewing development reports
Expertise in laboratory operations, including budgeting, capital expense procurement and IQ/OQ, safety, and status reporting to Senior Management
Knowledge and experience with novel methods in AAV characterization (e.g. ddPCR, DLS, AUC, NGS, etc.) is preferred
Principal Scientist Jobs
By Infinitek Limited At Albany, CA, United States
Team Management: Demonstrated managerial experience in building and leading a team of scientists with a mission-driven focus.
Education: Ph.D. in biochemistry, molecular and cell biology, or a related field.
Technical Expertise: Hands-on research experience in high-throughput screening, RNA biology, and/or mRNA splicing.
Apply directly or reach out to [email protected] to learn more.
Scientist/Principal Scientist Jobs
By Longboard Pharmaceuticals At La Jolla, CA, United States
Knowledge of regulatory requirements and ethical standards in research
Collaborate with internal stakeholders and manage contract research
Additional job responsibilities and/or duties, as assigned
1 to 3 years of post-doctoral experience in Neuroscience research
Strong knowledge of experimental design, data analysis, and statistical methods
Excellent communication skills, including the ability to effectively communicate complex scientific concepts to a non-scientific audience
Senior Scientist/ Principal Scientist, Formulation And Delivery Sciences
By Ionis Pharmaceuticals, Inc. At Carlsbad, CA, United States
Apply fundamental knowledge of lipid nanoparticle-RNA/DNA interactions towards streamlining manufacturing processes
Demonstrable experience conducting research in the field of colloids, microfluidic mixing methods, lipid nanoparticles, polymer nanoparticles, RNA/DNA therapeutics
Preferably experience with lipids, lipid nanoparticles, RNA, and advanced analytical techniques for macromolecules and/or nanoparticles
Experience with high-throughput process development techniques and statistical design of experiments (DoE) is a plus
Excellent communication and presentation skills
Develop deep understanding of nanoscale interactions that drive the assembly of lipid nanoparticles and define their stability and surface interaction properties

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