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Part Time Statistics Jobs in Maine (NOW HIRING)

Mission Superprof is offering you the chance to become a private tutor all over the USA; part-time, flexible hours in the subject of your choice. Tutoring is the ideal job for students, graduates ...

Mission Superprof is offering you the chance to become a private tutor all over the USA; part-time, flexible hours in the subject of your choice. Tutoring is the ideal job for students, graduates ...

Mission Superprof is offering you the chance to become a private tutor all over the USA; part-time, flexible hours in the subject of your choice. Tutoring is the ideal job for students, graduates ...

Mission Superprof is offering you the chance to become a private tutor all over the USA; part-time, flexible hours in the subject of your choice. Tutoring is the ideal job for students, graduates ...

Mission Superprof is offering you the chance to become a private tutor all over the USA; part-time, flexible hours in the subject of your choice. Tutoring is the ideal job for students, graduates ...

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Part Time Statistics information

What is the difference between Part Time Statistics vs Part Time Data Analyst?

AspectPart Time StatisticsPart Time Data Analyst
Required CredentialsTypically a degree in statistics, mathematics, or related fieldOften a degree in data analysis, statistics, or computer science
Work EnvironmentResearch firms, government agencies, educational institutionsBusinesses, tech companies, consulting firms
Industry UsageUsed in research, academia, government projectsApplied in business analytics, marketing, finance
Common Search IntentUnderstanding statistical roles, part-time opportunities in statisticsPart-time data analysis jobs, data analyst roles

Part Time Statistics focuses on roles centered around statistical theory and research, often in academic or research settings. Part Time Data Analyst involves analyzing data to support business decisions, typically in corporate environments. While both roles require analytical skills, their work environments and industry applications differ significantly.

What are part-time statistics jobs?

Part-time statistics jobs involve working fewer hours than a full-time role, often offering flexible schedules suitable for students, professionals seeking side income, or those balancing other commitments. These positions typically require analyzing data, creating statistical models, and interpreting results to support business decisions or academic research. Duties may include gathering data, using statistical software, and preparing reports. Part-time statistics jobs can be found in sectors like education, healthcare, government, and private industry.

What are some typical challenges faced by part-time statistics professionals, and how can they effectively manage their workload?

Part-time statistics professionals often navigate challenges such as balancing project deadlines with limited working hours and managing multiple assignments simultaneously. They may also encounter difficulties staying fully integrated with full-time teams and accessing ongoing project updates. To manage these challenges, clear communication with supervisors, setting realistic expectations, and making efficient use of data analysis tools are key. Regular check-ins and proactive time management can help ensure successful project delivery and maintain a collaborative team environment.

What are the key skills and qualifications needed to thrive as a Part-Time Statistician, and why are they important?

To thrive as a Part-Time Statistician, you need a strong background in statistics, mathematics, and data analysis, usually supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, and proficiency in spreadsheet tools like Excel, are commonly required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data accurately and share insights with non-technical stakeholders. These skills ensure reliable data-driven decision-making and contribute to successful project outcomes.
What are the most commonly searched types of Statistics jobs in Maine? The most popular types of Statistics jobs in Maine are:
Infographic showing various Part Time Statistics job openings in Maine as of July 2026, with employment types broken down into 1% As Needed, 60% Full Time, 37% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Part -Time Faculty (Temporary) in Mathematics and Statistics

Maine's Public Universities

Orono, ME โ€ข On-site

Part-time

Posted 16 days ago


Job description


In the Department of Mathematics and Statistics, one or more courses may be offered to part-time, temporary faculty members in fall 2026 and/or spring 2027. Courses available could include MAT 111 Algebra for College Mathematics, STS 132 Principles of Statistical Inference, and/or MAT 115 Applied Mathematics for Business and Economics.
Essential duties and responsibilities include but are not limited to: syllabus development aligned with departmental expectations, lesson planning, assignment design, grading, office hours, correspondence with students, use of an online learning management system and/or other instructional software, course coordination meetings with other faculty members, and required orientation and training.
Positions require teaching in person on campus.
Part-time temporary faculty members may be rehired in subsequent semesters based on course availability, schedule, funding, and performance. Continuation is subject to the terms of the PATFA bargaining agreement and other applicable university policies. Part-time faculty members are compensated on a per-credit-hour basis, commensurate with qualifications, experience, and in accordance with the Maine Part-Time Faculty Association (PATFA) contract. To view the Credit Hour Rates, please refer to the PATFA Contract.
About the University:
The University of Maine is a community of more than 11,900 undergraduate and graduate students, and 2,500 employees located on the Orono campus, the regional campus in Machias, and throughout the state. UMaine is a land, sea and space grant university, and maintains a leadership role as the University of Maine System's flagship institution. UMaine is the state's public research university and a Carnegie R1 top-tier research institution, dedicated to providing excellent teaching, research and service for Maine, the nation and the world. More information about UMaine is at umaine.edu.
UMaine is located in beautiful Central Maine. Many employees report that a primary reason for choosing to come to UMaine is quality of life. Numerous cultural activities, excellent public schools, safe neighborhoods, high quality medical care, little traffic, and a reasonable cost of living make the greater Bangor area a wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer.
Qualifications:
Required:
  • Bachelor's degree (or higher) in Mathematics or Statistics, or the equivalent in coursework.
  • Master's degree (or higher) in a related field.
  • Academic preparation adequate for the courses to be taught.
  • At least two years' college teaching experience.

Preferred:
  • Master's degree (or higher) in Mathematics or Statistics.

Other Information:
To be considered for this position you will need to "Apply" and upload the documentation listed below:
1.) a cover letter which describes your experience, interests, and suitability for the position
2.) a resume/curriculum vitae
Candidates selected to proceed to the final stages of the search process will be requested to provide a list of names and contact information for references.
Incomplete application materials cannot be considered. Materials received after the initial review date will be reviewed at the discretion of the University.
Review of applications will be ongoing to meet the needs of the fall 2026 and/or spring 2027 semesters.
For questions about the search, please contact chair Andrew Knightly.
The successful applicant is subject to appropriate background screening.
The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and employment. The System provides reasonable accommodations to qualified individuals with disabilities upon request. If you believe you have experienced discrimination or harassment, you are encouraged to contact the System Office of Equal Opportunity and Title IX Services at 5713 Chadbourne Hall, Room 412, Orono, ME 04469-5713, by calling 207.581.1226, or via TTY at 711 (Maine Relay System). For more information about Title IX or to file a complaint, please contact the UMS Title IX Coordinator at www.maine.edu/title-ix/.
Clery Act
The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, such as the University, prepare, publish and distribute an Annual Security Report, (ASR) and provide notice of the availability of the ASR to all prospective employees. This report consists of two basic parts: disclosure of the University's crime statistics for the past three calendar years; and disclosures regarding the University's current campus security policies. You may view the University's Annual Security Report. If you wish to have a paper copy of the ASR or you need to have a copy of the ASR in an accessible format, the University will provide such a copy upon request. Please contact: UMaine Police Department, 81 Rangeley Rd., The University of Maine, Orono, ME 04469-5794, or call 207.581.4053.