Mathematical Statistician Jobs
By USAJOBS At Suitland, MD, United States
Applicants must meet all qualification requirements by the closing date of this announcement.
Develops and implements sound statistical methods.
Prepares and disseminates technical documentation of work.
Participates with teams to complete statistical projects.
Registered for Selective Service if applicable. (www.sss.gov)
A one-year probationary period may be required.
Survey Statistician Jobs
By USAJOBS At Suitland, MD, United States
Applicants must meet all qualification requirements by the closing date of this announcement.
Experience for this position includes:
Communicate with supervisor and employees performing work for the assigned programs and projects.
Apply statistical techniques and methods in performing project related activities.
Assist with documenting procedures, problems encountered, and lessons learned and makes preliminary recommendations for improvements.
Assist in planning, coordinating, implementing, and monitoring project/survey activities for large-scale household surveys and/or smaller-scale surveys, including surveys of institutions.

Are you looking for a challenging and rewarding career in mathematical statistics? We are looking for a talented and motivated individual to join our team as a Mathematical Statistician. You will be responsible for developing and applying statistical methods to solve complex problems in a variety of fields. You will have the opportunity to work with cutting-edge technology and collaborate with experts in the field. If you are passionate about mathematics and statistics, this is the perfect job for you!

Overview:

Mathematical Statisticians are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use mathematical and statistical techniques to identify trends and patterns in data sets, and develop models and algorithms to predict future outcomes. They also develop and maintain databases, and create reports and visualizations to communicate their findings.

Detailed Job Description:

Mathematical Statisticians are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use mathematical and statistical techniques to identify trends and patterns in data sets, and develop models and algorithms to predict future outcomes. They also develop and maintain databases, and create reports and visualizations to communicate their findings. They must be able to work independently and collaboratively with other professionals, and be able to explain complex concepts in a clear and concise manner.

What is Mathematical Statistician Job Skills Required?

• Strong mathematical and statistical skills
• Knowledge of data analysis techniques
• Ability to interpret and analyze data
• Ability to develop models and algorithms
• Proficiency in database management
• Excellent communication and presentation skills
• Ability to work independently and collaboratively

What is Mathematical Statistician Job Qualifications?

• Bachelor’s degree in mathematics, statistics, or a related field
• Master’s degree in mathematics, statistics, or a related field preferred
• Experience in data analysis and/or database management
• Proficiency in programming languages such as R, Python, and/or SAS
• Knowledge of statistical software such as SPSS, STATA, and/or Minitab

What is Mathematical Statistician Job Knowledge?

• Knowledge of mathematical and statistical principles
• Knowledge of data analysis techniques
• Knowledge of database management
• Knowledge of programming languages
• Knowledge of statistical software

What is Mathematical Statistician Job Experience?

• Experience in data analysis and/or database management
• Experience in developing models and algorithms
• Experience in creating reports and visualizations

What is Mathematical Statistician Job Responsibilities?

• Collect, analyze, and interpret data
• Develop models and algorithms to predict future outcomes
• Develop and maintain databases
• Create reports and visualizations to communicate findings
• Work independently and collaboratively with other professionals
• Explain complex concepts in a clear and concise manner