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Senior Clinical Data Scientist Jobs in California

Data Scientist/Senior Data Scientist
By SLB At Menlo Park, CA, United States
Communicate complex ML concepts to management, clients, and the business
Demonstrate advanced working knowledge and experience with data analytics, machine
Works effectively with peers, management, operations groups, and outside
Maintain state-of-the-art knowledge and contribute to technical discussions and reviews
Actively disseminate knowledge via Webinars, talks and tutorials for the technical
Strong knowledge of latest Generative AI technologies, preferably Large Language
Senior Data Scientist, Pricing & Promotions
By Petco At Sacramento, CA, United States
Perform other related duties, tasks and responsibilities as required, assigned and directed.
Previous experience working with Machine Learning/Deep Learning for real world problems is a must
3+ years’ experience in business analytics and data science
Hands on experience with BI tools; Tableau /R shiny/Looker
Excellent quantitative modeling, statistical analysis skills and problem-solving skills.
Related experience in a retail organization is a strong plus
Senior Data Scientist (Generative Ai)
By FraxCorp 🚀 At Palo Alto, CA, United States
Prior experience working with open-ended, user-generated content is highly beneficial
At least 5 years of experience at prominent chat, social media, or user-generated content product companies
Strong expertise in consumer products
Ability to intuitively identify the most relevant questions and swiftly derive key insights
Proficiency in translating findings into actionable next steps and collaborating with engineering teams for implementation
Thrives in a fast-paced environment and embraces rapid experimentation
Senior Data Scientist Jobs
By IT Trailblazers LLC At San Jose, CA, United States
·Proficient coding skills (Python/SQL) and database knowledge
Showcase Media Mix Modelling and its benefits to planning teams to create agency wide awareness.
·Expert knowledge on Time series Forecasting, Python Libraries
·6+ years of experience in MMM, measurement, A/B testing, marketing strategy & analytics
·Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
Location San Jose, CA (Onsite)
Senior Data Scientist - Consumer Products
By Web Based At Palo Alto, CA, United States
Work visa sponsorship can be offered for the right candidate
 Building predictive models and conducting experiments to optimize user experiences and dri
 5+ years of experience in leading chat, social media, or user-generated content (UGC) product companies
 Strong collaboration and communication skills, with the ability to work effectively with cross-
 Experience with high-velocity experimentation and agile development methodologies
 Experience working with open-ended, user-generated content is a major plus
Senior Data Scientist, Av Performance
By Cruise At San Francisco, CA, United States
Experience developing and maintaining automated reporting tools for management and other partners.
Pre-tax Commuter Benefit Plan for non-remote employees
A Masters or PhD degree or equivalent experience.
3+ years post-academic experience in data science, machine learning, or a closely-related field.
Experience designing, training, and critically analyzing ML models for big data.
Experience deploying feature and model pipelines at scale, and monitoring model performance.
Senior Data Scientist Jobs
By Walmart At Sunnyvale, CA, United States
Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.
Embraces diversity in all its forms and actively supports diversity of ideas and perspectives, as well as diversity goal programs.
Regional Pay Zone (RPZ) (based on location)
Additional Compensation Includes Annual Or Quarterly Performance Incentives.
Senior Data Scientist Jobs
By SAP At Palo Alto, CA, United States
Define data requirements for business processes from customers, engineers, other product managers, and professional services consultants;
Define data governance and metadata management strategies;
Perform program management tasks across multiple teams to ensure project timelines and deliverables are achieved; and
Define metrics to measure business objectives by meeting with Product Managers;
Build metrics models with Product Managers and present reports and dashboards to stakeholders;
Enterprise software such as HR/HCM processes or other business applications such as CRM, ERP, or financial systems;
Data Scientist/Senior Data Scientist, Metabolomics
By Calico Life Sciences At South San Francisco, CA, United States
Ph.D. with 1-2 years or M.S. with 5+ years B.S. with 7+ years relevant data science and software development experience
Experience working with mass spectrometry data
Experience applying statistical and machine learning methods
Experience in joining metabolomics data with other data modalities, including proteomics and genomics
Knowledge of in silico representations of metabolism, such as genome-scale metabolic models
Work with scientists throughout R&D to design experiments and contribute to the analysis of the resulting data
Senior Data Scientist Jobs
By IQVIA At San Francisco, CA, United States
3+ years of relevant experience in supporting the operational feasibility, design, and analytics of clinical trial operations.
Experience supporting efforts for clinical trials is required, such as providing insights used in making decisions within clinical trials.
Cloud experience (such as by using AWS or DataBricks) is preferred but not required.
Excellent problem-solving skills with the ability to analyze complex datasets and derive actionable insights.
Strong communication skills, with the ability to present data-driven findings to both technical and non-technical audiences.
Support Clinical Operational Strategy by using Python and SQL to query, aggregate, analyze, and derive results from clinical trial operations data.
Senior Data Scientist Jobs
By Intuit At Mountain View, CA, United States

Overview Our formula for innovation begins with agile, cross-functional teams that welcome diverse perspectives and embrace collaboration. Inspirational working environments help spark fresh ideas, ...

Senior Data Scientist - Llm
By Spotter At Culver City, CA, United States
Experience with transfer learning, meta learning and predictive modeling.
Strong analytical and problem-solving skills and
Excellent oral and written communication skills.
Good knowledge in other deep learning models such as CNN, RNN.
You’ll learn and grow every day - from the industry, your peers and most importantly, your customer zero - the creators!
Fine-tune pre-trained language models for generative AI applications.
Senior Data Scientist And Ai Lead
By Plantible Foods At San Marcos, CA, United States
Prior experience in management and team leadership roles
Leverage deep domain knowledge in remote sensing applications in agriculture to drive innovation
Deep understanding of remote sensing applications in agriculture, including data sources, trends, and business requirements
Implement cutting-edge AI models and data pipelines for remote sensing applications in agriculture
Manage data acquisition, cleaning, and feature engineering
Expertise in designing and implementing AI models and data pipelines for remote sensing applications in agriculture
Clinical Data Scientist Jobs
By Alignment Healthcare At , , Ca
GENERAL DUTIES/RESPONSIBILITIES (MAY INCLUDE BUT ARE NOT LIMITED TO):
6. Develop conversational AI solutions to improve healthcare experience of our members.
a. 5+ years relevant experience in predictive and prescriptive modeling and analysis for various healthcare problems
b. Proficiency in medical writing and ability to create medical knowledgebases for AI solutions.
d. Strong statistical analysis skills and expertise in data visualization tools
f. Ability to manage multiple projects simultaneously and prioritize effectively.

Are you a Senior Clinical Data Scientist looking for an exciting new challenge? We are looking for a highly motivated individual to join our team and help us develop innovative solutions to improve patient care. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of experts. If you are passionate about data science and have a strong background in clinical research, this could be the perfect job for you!

Overview:

A Senior Clinical Data Scientist is a professional who specializes in collecting, analyzing, and interpreting data related to clinical research. They use their expertise to develop strategies and solutions to improve patient care, reduce costs, and increase efficiency. Senior Clinical Data Scientists are responsible for designing and implementing data-driven solutions to improve patient outcomes, reduce costs, and increase efficiency. They must have strong analytical and problem-solving skills, as well as a deep understanding of clinical research and data analysis. How To Become an Senior Clinical Data Scientist jobs ? To become a Senior Clinical Data Scientist, you will need to have a bachelor’s degree in a related field, such as computer science, mathematics, or statistics. You may also need to have experience in data analysis, programming, and software development. Additionally, you will need to have strong communication and problem-solving skills. Senior Clinical Data Scientist Skills requied For Your Resume And Career?
• Data Analysis
• Programming
• Software Development
• Statistical Analysis
• Database Management
• Project Management
• Problem-Solving
• Communication
• Research
• Data Visualization
Senior Clinical Data Scientist Knowledge For Your Resume And Career?
• Clinical research
• Data analysis
• Statistical methods
• Data mining
• Machine learning
• Database management
• Data visualization
• Project management
• Regulatory compliance
Senior Clinical Data Scientist Responsibilities For Your Resume And Career?
• Design and implement data-driven solutions to improve patient outcomes, reduce costs, and increase efficiency.
• Analyze and interpret clinical data to identify trends and patterns.
• Develop and maintain databases to store and manage clinical data.
• Create data visualizations to communicate results to stakeholders.
• Develop and implement strategies to improve data quality.
• Monitor regulatory compliance and ensure data accuracy.
• Collaborate with other departments to ensure data accuracy and integrity.
Senior Clinical Data Scientist Experience For Your Resume And Career?
• Experience in data analysis, programming, and software development.
• Experience with clinical research and data analysis.
• Experience with database management and data visualization.
• Experience with statistical methods and machine learning.
• Experience with project management and regulatory compliance.
Senior Clinical Data Scientist Qualifications For Your Resume And Career?
• Bachelor’s degree in a related field, such as computer science, mathematics, or statistics.
• Strong analytical and problem-solving skills.
• Deep understanding of clinical research and data analysis.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
Senior Clinical Data Scientist Educations For Your Resume And Career?
• Bachelor’s degree in a related field, such as computer science, mathematics, or statistics.
• Master’s degree in a related field, such as data science, analytics, or biomedical informatics.
• Professional certifications in data science, analytics, or biomedical informatics.
What tools help Senior Clinical Data Scientist work better?
• Statistical software such as SAS, SPSS, or R.
• Database management software such as MySQL or Oracle.
• Data visualization software such as Tableau or Power BI.
• Machine learning and artificial intelligence tools.
• Project management software such as JIRA or Trello.
Good tips to help Senior Clinical Data Scientist do more effectively?
• Stay up to date on the latest trends in clinical research and data analysis.
• Develop strong communication and interpersonal skills.
• Utilize data visualization tools to communicate results to stakeholders.
• Develop an understanding of regulatory compliance and data accuracy.
• Collaborate with other departments to ensure data accuracy and integrity.
• Develop problem-solving and analytical skills.
• Utilize machine learning and artificial intelligence tools.