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From Home Applied Statistics Jobs (NOW HIRING)

Socket.dev

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

This role combines applied statistical/ML modeling with strong data engineering fluency, working ... Access, prepare, and engineer features from data processed through Apache Spark and AWS data ...

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What are the key skills and qualifications needed to thrive as a remote applied statistician?

To thrive as a Remote Applied Statistician, you need a strong background in statistics, mathematics, and data analysis, typically supported by a relevant degree such as statistics, mathematics, or data science. Proficiency with statistical software (like R, SAS, or Python), data visualization tools, and sometimes certifications in analytics or data science are highly valued. Strong problem-solving, attention to detail, and effective communication skills set top performers apart in this field. These competencies are crucial for delivering accurate analyses, interpreting complex data, and effectively conveying insights in a remote work environment.

What is a from home applied statistician?

'From Home Applied Statistics' jobs are remote positions where professionals use statistical techniques to analyze data, solve problems, and support decision-making for various organizations. These roles can include data analysis, statistical modeling, and interpreting quantitative research, all performed from a home office. Common employers include academic institutions, government agencies, and private companies in sectors like healthcare, finance, and technology. Strong skills in statistics, mathematics, and proficiency in statistical software such as R, SAS, or Python are typically required. Working remotely allows statisticians to collaborate with teams and clients virtually while maintaining a flexible work environment.

What jobs can you get with from home applied statistics?

Applied statistics skills can lead to remote roles such as data analyst, data scientist, statistical consultant, or research analyst. These jobs typically require proficiency in statistical software, data visualization, and strong analytical skills, and often involve analyzing data sets, creating reports, and supporting decision-making remotely.

How does working remotely as an applied statistician impact collaboration with cross-functional teams?

Remote Applied Statisticians often collaborate with diverse teams such as data scientists, software engineers, and business analysts through virtual meetings and digital communication platforms. While this structure allows for flexibility and autonomy, it also requires proactive communication and clear documentation to ensure project alignment. Regular check-ins, shared dashboards, and collaborative tools become essential to keep everyone on the same page. Adapting to different time zones and working styles can be a challenge, but also offers the opportunity to work with a global team and broaden your professional network.
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From Home Applied Statistics jobs near you
Infographic showing various From Home Applied Statistics job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 24% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Adjunct Instructor - Math & Physics

Merrimack College

North Andover, MA • On-site

$3.7K/wk

Other

Posted 24 days ago

Job description


Adjunct Instructor – Mathematics


Position Description:
The Department of Math and Physics invites applications for adjunct faculty to teach Concepts in Algebra, Basic Statistics, and Applied Statistics for Engineering this upcoming Fall semester 2026. The meeting times and additional information are as follows:

Concepts in Algebra (MTH 1000) Section D - Monday/Wednesday/Friday 9:45 AM - 11:00 AM, Section E - Monday/Wednesday/Friday 1:15 PM - 2:30 PM, Section F - Monday/Wednesday/Friday 11:30 AM - 12:45 PM

Basic Statistics (MTH 1111) Section A - Tuesday/Thursday 8:00 AM - 9:50 AM, Section B - Tuesday/Thursday 10:20 AM - 12:10 PM

Applied Statistics and Probability for Engineers (MTH 1505) Tuesday/Thursday 8:00 AM - 9:50 AM

These courses will start August 31st and conclude on December 18th 2026. Duties include delivering lectures in a classroom setting, administering exams, and grading students’ assignments.


Qualifications

The candidates should meet the following qualifications:

  • Hold at least a MS in Mathematics or a related field.

  • College-level teaching and experience utilizing learning management systems (i.e.- Canvas) and technology in the classroom is highly desirable.



Application Materials Should Include:

  • Cover letter stating motivation and interest in the position and desired courses

  • Resume or Curriculum Vitae (CV).

  • Contact information for three professional references (name, title, address, phone number, email address). Applicants will be notified before references are contacted.


This position is subject to the successful completion of a criminal background check.


Compensation

Minimum: $5,000 per 4-credit course


Minimum: $3,750 per lab section


The actual pay offered to the selected candidate will be determined based on factors such as, but not limited to, candidate qualifications and prior experience, scope of responsibilities, internal equity, and market considerations.


Concepts in Algebra (MTH 1000): A one semester course designed to develop fundamental algebraic and problem-solving concepts and skills. Topics include linear, quadratic, square root, rational, exponential, and logarithmic functions and equations. This course emphasizes individual investigation, and problem solving in order to enhance students’ understanding of algebraic models and the problem-solving process. Students will work independently and in groups, with the assistance of the professor and course assistant(s), through an in-class and online experience. A laptop/iPad and a scientific calculator are required. This course is open only to students whose Placement Assessment results indicate that they need further preparation for subsequent mathematics courses.


Basic Statistics (MTH 1111): Basic methods of statistical inference including the organization and analysis of data, sampling theory, point and interval estimation, hypothesis testing, correlation and regression analysis, and analysis of variance. Statistical software will be used throughout this course. MTH 1111 is not open to students with credit for MTH 1110, MTH 2527, or MTH 1505.


Applied Statistics and Probability for Engineers (MTH 1505): A calculus-based introduction to applied statistical and probability methods commonly used in engineering. Topics include descriptive statistics, probability counting methods, discrete and continuous random variables, point estimation, linear regression, the Central Limit Theorem, confidence intervals and hypothesis tests for mean and proportion of one and two-sample statistics. Statistical computer packages will be used in connection with the material studied. A graphing calculator is required. We recommend TI-84+



Statement on Our Mission


Merrimack College is a Catholic Augustinian institution of higher education committed to building an accepting and respectful community. Our mission is to enlighten minds, engage hearts and empower lives and is inspired by our Catholic faith and the Augustinian tradition of seeking truth through inquiry and dialogue.


Merrimack College seeks candidates who understand, respect, and can contribute to Merrimack’s Catholic and Augustinian mission. All candidates should describe in their application how they will foster a culture that supports our mission.



About Merrimack College


The only Catholic, Augustinian institution of higher education in New England, Merrimack College is a private, independent, coeducational institution with more than 4,000 undergraduate and 1,900 graduate students from 46 states and 45 countries. The College features more than 160 career-focused academic programs in science, engineering, business, nursing, health sciences, education, social sciences and humanities across undergraduate, professional and graduate programs, all taught by exceptional faculty who are passionate about their subject and student success. The College has six schools: arts and sciences, engineering and computational sciences, nursing and health sciences, education and social policy, the Girard school of business, and the Graduate School of counseling and social work. The College’s suburban 220-acre campus is just north of Boston in North Andover, Massachusetts. Merrimack is a Master’s Colleges and Universities/Larger Programs (M1) institution in the Carnegie Classification of Institutions of Higher Education. Merrimack is one of the fastest-growing educational institutions in the country and has steadily climbed up in the U.S. News & World Report’s ranking of Best Colleges, ranking 37th in the Regional Universities North category in 2025. Merrimack is a NCAA Division I athletic institution.


Merrimack College is an Equal Opportunity Employer.




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