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Mid Level Bayesian Statistics Jobs in Washington

Astor & Sanders

Front End Developer (mid-level)

Mclean, VA · Remote

$105K - $122K/yr

Front End Developer (Mid-Level) Systems Integration & Development (SID), an award-winning ... Strong understanding of data visualization, statistical processing and display, and cloud-based ...

Beyond SOF

System engineer - Mid Level

Springfield, VA · On-site

System Engineer - Mid Level Position Description: Product quality SYSTEM ENGINEER will lead the ... They will lead a team of image scientists, image analysts, photogrammetrists, and statisticians to ...

Beyond SOF

System engineer - Mid Level

Springfield, VA · On-site

System Engineer - Mid Level Position Description: Product quality SYSTEM ENGINEER will lead the ... They will lead a team of image scientists, image analysts, photogrammetrists, and statisticians to ...

Wiser

Human Geographer (Mid-Level)- TS/SCI

Springfield, VA · On-site

$85K - $110K/yr

Human Geographer - Mid-Level - TS/SCI Location: Springfield, VA Experience Level: Level 3, Middle ... statistical data into tables compatible with ArcGIS, participating in quality control checks ...

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All JobsMid Level Bayesian Statistics JobsMid Level Bayesian Statistics Jobs in Washington

Mid Level Bayesian Statistics information

What can you do with Bayesian statistics?

A mid-level Bayesian statistics professional can apply Bayesian methods to model uncertainty, update probabilities with new data, and improve decision-making processes across various fields such as healthcare, finance, and technology. Proficiency in statistical software like R or Python and understanding of probabilistic programming are essential for implementing these techniques effectively.

Is Bayesian statistics difficult?

Bayesian statistics as a mid-level role involves understanding probability models, prior and posterior distributions, and using tools like R or Python for analysis. While it requires a solid grasp of statistical concepts and programming skills, the difficulty depends on prior experience with mathematics and data analysis. Consistent practice and formal training can help develop proficiency in this specialized area.

What job should I do if I like statistics?

A mid-level Bayesian statistician typically works in data analysis, research, or modeling roles across industries such as healthcare, finance, or technology. These roles involve applying statistical methods, programming skills in languages like R or Python, and understanding Bayesian inference to solve complex problems. Certification or advanced degrees in statistics or related fields can enhance job prospects.

What is the difference between Mid Level Bayesian Statistics vs Data Scientist?

AspectMid Level Bayesian StatisticsData Scientist
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or higher in Data Science, Computer Science, or related field
Work EnvironmentResearch-focused, analytical, often in finance, healthcare, or academiaCross-functional teams, data analysis, machine learning, business insights
Industry UsageStatistical modeling, probabilistic analysis, research projectsData analysis, predictive modeling, data visualization

Mid Level Bayesian Statistics specialists focus on advanced probabilistic modeling and statistical inference, often in research or specialized industries. Data Scientists have a broader scope, combining statistical analysis with programming and machine learning to solve business problems. While both roles require strong analytical skills, Bayesian statisticians typically emphasize probabilistic models, whereas Data Scientists integrate multiple techniques for data-driven decision-making.

What type of statistician makes the most money?

Senior-level statisticians, such as data science managers or quantitative research directors, tend to earn the highest salaries. Specializations in machine learning, Bayesian methods, or roles in finance and technology often command higher compensation, especially with advanced skills and relevant certifications.
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Mid Level Bayesian Statistics jobs near you

Mid Level Statistician/Epidemiologist

Malanai

Silver Spring, MD • On-site

$96K - $106K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

Overview

Job Summary:

Malanai LLC is seeking a Mid-level Statistician/Epidemiologist for a potential effort supporting the Defense Health Agency by providing epidemiological analysis of the trends, magnitude and impact of ocular trauma, vision-threatening conditions, and other multi-sensory/scientific areas, across the U.S. Military and Veteran Affairs population. This role involves assisting with conducting epidemiologic investigations of ocular trauma, vision-threatening conditions, and other multi-sensory/scientific areas as needed, across the U.S. Military and Veteran population.

NOTE - This is not an active contract, any offer resulting from applying to this position would be contingent on contract award.

Key Responsibilities: 

The Statistician/Epidemiologist activities include but are not limited to:

  • Strong computer skills.
  • Develop study protocols and critical literature reviews utilizing multiple data sources, containing ocular and vision related data.
  • Conduct epidemiologic investigations of ocular trauma, vision-threatening conditions, and other multi-sensory/scientific areas as needed, across the U.S. Military and Veteran population.
  • Prepare clear and concise written reports, correspondence and professional papers for potential publication submission to peer-reviewed journals.
  • Good organizational skills and ability to prioritize tasks.
  • Strong verbal/written communication skills.
  • Other duties as necessary in supporting the organization's mission.
Requirements

Requirements

Qualifications: 

  • Master's Degree in statistics, epidemiology, or a related field; AND five (3) years of experience in performing statistics analyses; OR an equivalent combination of education, training, and experience.
  • Experience in applied epidemiology and statistics including survival analysis, generalized linear model, causal inference, and data visualization.
  • Strong skills in analyzing complex data from multiple sources and data wrangling using the programming language.
  • Effective communications in multidisciplinary collaboration.
  • Preparing clear and concise reports, manuscripts, and other written materials.
  • Attention to detail.
  • Communication skills and teamwork
  • Self-motivated and capable of independent work and productivity.
  • US Citizen and capable of passing a National Agency Check with Investigation

Technical Qualifications:

  • Competency in PDF editing and documents comparison software (e.g Adobe Acrobat)
  • Proficient in Microsoft Suite (especially Word, Excel and Outlook)
  • Experience with SharePoint, Teams, or other document collaboration tools.

Benefits: 

  • Employer Paid Medical Insurance
  • Dental and Vision Insurance
  • 401k
  • PTO
  • Tuition Reimbursement
  • Paid Parental Leave

Physical Requirements:

  • Work may involve sitting or standing for extended periods of time.
  • Position may require typing and reading from a computer screen.
  • Must have sufficient mobility, including but not limited to bending, reaching, and kneeling to complete daily duties in a timely and efficient manner.
  • May include lifting weight up to 50 pounds as necessary.

Malanai LLC reserves the right to change or modify job duties and assignments at any time.  The above job description is not all encompassing. Positions, functions and qualifications may vary depending on business needs.

Malanai LLC is an equal opportunity employer and does not discriminate against applicants based on race, color, creed, religion, medical condition, legally protected genetic information, national origin, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status or legally.

Posted Salary RangeUSD $96,000.00 - USD $106,000.00 /Yr.Employment Type: FULL_TIME

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