Data Scientist / Senior Data Scientist, Analytics
By DoorDash At Austin, TX, United States
4+ years of experience in data analytics, consulting, or related role
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
Please apply here for all non-managerial levels within the following analytics teams:
Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
Work with and mentor junior analysts on how to use more advanced methods and solve challenges
Senior Data Scientist Jobs
By Cargill At , Wayzata, 55391

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 157 years of experience ...

Senior Data Scientist Jobs
By Ally Financial At , Lewisville, 75067, Tx
Support data science projects such as customer segmentation, strategy optimization to advance servicing analytics and consumer asset management.
4+ Years of analytics experience, experience in loan-level predictive data mining for consumer finance industry preferred.
Experience with machine learning techniques and experimental design.
Experience with database programming tools (Python, SQL) required.
Ability to manage multiple projects and assignments.
Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders
Data Scientist/Senior Data Scientist
By Toyota At , Plano, 75024, Tx
Develop, manage, and deploy analytic solutions using software packages like Python, R, SAS, etc.
Advanced hands-on experience with tools such as Python (NumPy/Pandas/scikit-learn), R, and/or SAS.
Experience using a variety of statistical and machine-learning techniques to solve problems.
Experience programming in a CI/CD framework using GitHub and Cloud Computing Tools (preferably AWS).
Work collaboratively with team members.
Partner with the business to identify the most important questions that need to be answered about our customers and their value.

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.