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Permanent Phd Statistics Jobs (NOW HIRING)

Uottawa

APTPUO_Fall-2026_STA1391 A00

Campus, IL

$239.47/hr

FORMERLY MAT1371 ( Descriptive Statistics) PhD in mathematics. Expert level knowledge of LaTeX (the ... All qualified candidates are encouraged to apply; however, Canadians and permanent residents will ...

University of Hawaii

CASUAL - Lecturer

Honolulu, HI

$2.05K/mo

... Permanent: Temporary Other Conditions: (if applicable) For placement in lecturer pool for Fall 2026 ... PhD degree in Statistics, MIS, Operations Management, or related field 2. Private or nonprofit ...

University of Hawaii

Lecturer (Latin)

Honolulu, HI

Desirable Qualifications PhD in Classics or equivalent. To Apply: Email with the following ... statistics for the University of Hawai'i may be viewed at: or a paper copy may be obtained upon ...

Uottawa

APTPUO_Winter-2027_STA2391 B00

Campus, IL

$239.47/hr

FORMERLY MAT 2377 (Probability and Statistics for Engineers) PhD in mathematics. Expert level ... All qualified candidates are encouraged to apply; however, Canadians and permanent residents will ...

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Permanent Phd Statistics information

What are the key skills and qualifications needed to thrive as a Permanent PhD Statistician, and why are they important?

To thrive as a Permanent PhD Statistician, you need advanced knowledge of statistical theory, data analysis, and a doctoral degree in statistics or a closely related field. Expertise in statistical software such as R, SAS, Python, and familiarity with data management systems are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top candidates apart. These skills are crucial for designing robust studies, interpreting complex data, and clearly conveying findings to support data-driven decision-making.

What are some common challenges faced by permanent PhD-level statisticians in academia or research institutions?

Permanent PhD statisticians often face the challenge of balancing research, teaching, and service responsibilities. They must stay current with rapidly evolving statistical methodologies while also supporting interdisciplinary collaborations, which can require adapting communication styles to diverse audiences. Additionally, securing funding for research projects and publishing in high-impact journals are ongoing challenges that require strong project management and networking skills. The role is intellectually rewarding but demands continuous learning and effective time management.

What are Permanent PhD Statistics positions?

Permanent PhD Statistics positions are academic or research roles, typically at universities or research institutes, that require a doctoral degree in statistics. These positions are 'permanent' in that they offer long-term employment, often with the possibility of tenure, rather than being limited-term contracts. The roles involve conducting research, publishing scholarly work, teaching undergraduate and graduate courses, and mentoring students. They may also include administrative responsibilities and service to the academic community. Permanent positions are highly competitive and generally require a strong record of research and teaching.

What is the difference between Permanent Phd Statistics vs Permanent Data Analyst?

AspectPermanent Phd StatisticsPermanent Data Analyst
Required CredentialsPhD in Statistics or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch institutions, academia, government agenciesCorporate offices, tech companies, consulting firms
Employer & Industry UsageResearch-focused roles in academia or governmentData-driven decision making in business sectors
Common Search & ComparisonYesNo

Permanent Phd Statistics roles typically involve advanced research, statistical modeling, and academic or government work, requiring a PhD. In contrast, Permanent Data Analyst positions focus on interpreting data for business insights, often requiring a bachelor's or master's degree. Both roles involve data analysis but differ in scope, environment, and credential requirements.

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What are the most commonly searched types of Phd Statistics jobs? The most popular types of Phd Statistics jobs are:
What states have the most Permanent Phd Statistics jobs? States with the most job openings for Permanent Phd Statistics jobs include:
What job categories do people searching Permanent Phd Statistics jobs look for? The top searched job categories for Permanent Phd Statistics jobs are:
Permanent Phd Statistics jobs near you
Infographic showing various Permanent Phd Statistics job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 76% Full Time, 19% Part Time, and 2% Contract. Highlights an 63% Physical, 6% Hybrid, and 31% Remote job distribution.

Data Scientist - Intermediate - Hybrid

Precision Human Capital Inc

Houston, TX • On-site

Full-time

Posted 9 days ago

Job description

Our client requires an intermediate level Data Scientist on a permanent / full time basis with ability to work Hybrid Monday to Friday in Houston, TX.
As the ideal candidate, you will be responsible for the following:
  • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
  • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
  • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
  • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
  • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
  • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
  • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
  • Understand what matters most and prioritize ruthlessly
  • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and Senior Executives)

Qualifications:
  • BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with two plus years relevant experience, or PhD degree in a related field with 1 plus years of relevant experience.
  • Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
  • Understanding of statistical concepts and experience in applying them.
  • Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)
  • Experience in data analyses using SQL.
  • Experience in at least one programming language (preferably Python).
  • Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to haves:
  • Domain experience in product, marketing, growth, and/or other business analytics areas.

If this opportunity speaks to you than don't delay, apply today!

Apply