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As a Carnegie R2 (Doctoral Universities \u2013 High Research Activity) institution, we seek a scholar with expertise in computational or applied mathematics who will contribute to our vibrant academic community through teaching, research, and membership excellence. Clery Act crime statistics for MTSU are available at https://police.mtsu.edu/annual-security-report/ or by contacting MTSU Public Safety at (615) 898-2424.

Job TitleMathematical Sciences (Computational or Applied), Tenure-Track FacultyDepartmentMathematical SciencesUniversity ExpectationMTSU seeks candidates committed to innovative teaching, robust research/creative activity, and meaningful service. We also seek to attract culturally and academically diverse faculty who value working with diverse students.SalaryThe salary and rank are commensurate with education and experience.Job Summary/Basic FunctionThe Department of Mathematical Sciences at Middle Tennessee State University invites applicants for a full-time, tenure-track faculty position (#107180) at the rank of assistant or associate professor. The start date for the position is August 1, 2026.As a Carnegie R2 (Doctoral Universities \u2013 High Research Activity) institution, we seek a scholar with expertise in computational or applied mathematics who will contribute to our vibrant academic community through teaching, research, and membership excellence.Key Responsibilities<ul><li>Develop a productive, externally funded research program.</li><li>Engage undergraduate and graduate students in research.</li><li>Contribute to curriculum development and interdisciplinary collaboration for undergraduate and graduate programs.</li></ul>The Department of Mathematical Sciences offers a B.S. in Mathematics, a B.S. in Actuarial Science, and an M.S. in Mathematics. The department also participates in several interdisciplinary degree programs, including the Ph.D. in Computational and Data Science. To learn more about our department, please visit <a href="https://math.mtsu.edu/" rel="nofollow">https://math.mtsu.edu/</a>.Required EducationA terminal degree in mathematics, applied mathematics, computational mathematics, or closely related field is required by the appointment date.Other DesirablesApplicants with the following will receive special consideration:<ul><li>Strong record of publication in areas such as</li><li>Computational mathematics.</li><li>Numerical analysis.</li><li>Mathematical modeling.</li><li>Mathematical biology, or optimization.</li><li>Experience supervising student research.</li><li>Ability to complement and enhance existing department teaching and research programs.</li><li>Post-doctoral research experience.</li><li>Demonstrated potential to secure external funding for research or curriculum development.</li></ul>Documents Needed to ApplyTo successfully apply, applicants must include a cover letter, curriculum vitae, statement of teaching philosophy, and statement of research or creative activities (as appropriate to the discipline) as separate attachments at the time of online application.Special Instruction to ApplicantsFor more information about serving as a faculty member at Middle Tennessee State University, please visit our faculty recruitment webpage.If you need help applying, please contact Mitzi Dunkley, Faculty Recruitment Specialist, at (615) 898-5128. If you have position-specific questions, please contact Yixiang Wu at Yixiang.Wu@mtsu.edu.MTSU offers a comprehensive benefits package, including but not limited to the following:<ul><li>Sick Leave</li><li>Vacation Leave for Administrative/Classified Staff/12-month Faculty</li><li>13 paid University holidays</li><li>Medical, dental, vision, and life insurance</li><li>Retirement plans</li><li>Optional 401K and 403B Deferred Compensation Plans</li><li>Educational benefits for the employee and their spouse and dependents</li></ul>Click here for additional information.MTSU is an equal opportunity employer. All qualified individuals are encouraged to apply.Proof of U.S. citizenship or eligibility for U.S. employment is required before employment (Immigration Control Act of 1986). Clery Act crime statistics for MTSU are available at <a href="https://police.mtsu.edu/annual-security-report/" rel="nofollow">https://police.mtsu.edu/annual-security-report/</a> or by contacting MTSU Public Safety at (615) 898-2424.MTSU is a Tobacco & Drug-Free campus.This position requires a criminal background check. Therefore, you will be required to provide information about your criminal history to be considered.For individuals requiring reasonable accommodation to apply: In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation to apply for a position with MTSU, please call 615-898-2929 or email emp@mtsu.edu.Application Review Date: 11/07/2025

Middle Tennessee State University

Mathematical Sciences (Computational or Applied), Tenure-Track Faculty

Actuarial Skills

Biology

College Level Faculty

Compensation and Benefits

Data Science

Funding

Life Insurance

Mathematical Modeling

Mathematics

Retirement Plan

Training/Teaching

Training/Teaching Curriculum

Vision Plan

Willingness to learn the use of instructional technologies to teach traditional, hybrid, and/or distance learning (online) courses. Applying diverse instructional strategies, including use of technology, in response to learner demographics and learning styles.

Position Title
Adjunct Instructor of Exercise and Sport ScienceHours Per Week
Not to exceed 83 hours per monthPosting Date
May 2021Job Type
Adjunct InstructorPosition Purpose<ul><li>Teach various courses in the Sport and Exercise Science</li><li>Assign grades for courses as necessary</li><li>Complete course assessment documentation as necessary</li></ul>Knowledge, Skills And Abilities<ul><li>Willingness to learn the use of instructional technologies to teach traditional, hybrid, and/or distance learning (online) courses</li><li>Knowledge and skills with software applications including, but not limited to, Microsoft Excel, Word, and PowerPoint</li></ul>Experience<ul><li>Demonstrated teaching experience</li><li>Minimum of one year experience teaching in an online or hybrid environment</li><li>Understanding of competencies required for specific courses</li><li>Excellence in teaching and facilitating the learning process for students</li><li>Applying diverse instructional strategies, including use of technology, in response to learner demographics and learning styles</li><li>Excellent oral, written, and listening skills</li></ul>Education<ul><li>Required: Masters degree in appropriate area for courses to be taught</li><li>Preferred: Minimum of two years experience in the profession</li><li>Previous teaching experience at the high school or post-secondary level</li><li>Certification or license appropriate to specialty (e.g., NATA, ACSM, NSCA)</li></ul>Additional Information
Available for Fall and Spring semesters on site at the main campus in Lebanon, TN.

Cumberland University

Adjunct Instructor of Exercise and Sport Science

Demographics

Distance Learning

Documentation

Educational Technology

Exercise Science

Microsoft Excel

Microsoft PowerPoint

Microsoft Word

Online Courses

Online Training

Presentation/Verbal Skills

Secondary School

Sports Science

Writing Skills

Preferred Qualifications: • Ability to engage students and business partners in projects or other experiential activities; • Experience teaching college or professional development courses; • MBA with a focus in IS or IT from an accredited institution; • Professional certification(s) in IT, IS, or related fields; • Ability to contribute to strategic initiatives of the college. Essential Functions: Responsibilities for this position include teaching undergraduate Decision Science courses (12 hours per semester) from among the following topics: • Business Applications Development • Business Analytics • Computer Forensics and Cybersecurity Management • Project Management.

Description of Job Duty:The Department of Decision Sciences and Management at Tennessee Tech University invites applications for a full-time Lecturer position beginning Fall 2026. Our department is home to over 500 students, and we offer two majors: Business Management and Business & Information Technology. We offer concentrations in General Management, Human Resource Management, Operations and Supply Chain Management, and Business Intelligence & Analytics. We also provide graduate courses to support the College's MBA Program and graduate-level certificates.Tennessee Tech is an Equal Opportunity/Affirmative Action employerMinimum Qualifications:• MBA or a Master's degree in IS, IT, or a related field from an accredited institution.
• Excellent communication skills;
• At least four years of professional work experience in IS, IT, or a related field.Preferred Qualifications:• Ability to engage students and business partners in projects or other experiential activities;
• Experience teaching college or professional development courses;
• MBA with a focus in IS or IT from an accredited institution;
• Professional certification(s) in IT, IS, or related fields;
• Ability to contribute to strategic initiatives of the college.Essential Functions:Responsibilities for this position include teaching undergraduate Decision Science courses (12 hours per semester) from among the following topics:• Business Applications Development
• Business Analytics
• Computer Forensics and Cybersecurity Management
• Project ManagementThe Lecturer will also participate in ongoing professional engagement sufficient to maintain status as an Instructional Practitioner or Scholarly Practitioner according to AACSB guidelines.Physical Demands:Those typical of any classroom or office environment.Special Instructions:Applicants will be required to apply online at www.tntech.edu/jobs and electronically upload a cover letter, curriculum vitae, copy of transcripts (official transcripts for all degrees conferred required upon hire), and contact information for three professional references. References will be contacted at a later date. Submission of materials is the applicant's responsibility. Applications without all required materials are incomplete and will not be considered.Salary:Commensurate with education and experience. Full-time, 9-month, non-tenure track position to start August 1, 2026. Three-year contract renewable based on performance reviews, needs of the department, and funding.Benefits Information:Benefits include the accumulation of one (1) sick leave day per month and thirteen (13) University holidays. Other benefits include medical and life insurance (shared cost with the university), retirement, optional 401k, and educational benefits. Deferred income and benefits over 12 months.

Tennessee Tech University

Lecturer - Decision Sciences

Business Administration

Business Analysis

Business Intelligence

Business Solutions

Communication Skills

Computer Forensics

Human Resources Management

Information Technology & Information Systems

Internet Security

Performance Reviews

Physical Demands

Project/Program Management

Software Development

Supply Chain Management

Supply Chain Operations

ADAPTED_NOW

Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed.

YEAR

<div>When you join the team at Unum, you become part of an organization committed to helping you thrive.Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: <ul><li>Award-winning culture </li><li>Inclusion and diversity as a priority </li><li>Performance Based Incentive Plans</li><li>Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability </li><li>Generous PTO (including paid time to volunteer!) </li><li>Up to 9.5% 401(k) employer contribution </li><li>Mental health support </li><li>Career advancement opportunities </li><li>Student loan repayment options </li><li>Tuition reimbursement</li><li>Flexible work environments </li></ul><h3>*All the benefits listed above are subject to the terms of their individual Plans.</h3>And that’s just the beginning…  With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! <h2>General Summary:</h2>Are you passionate about using AI and advanced analytics to solve complex, high‑visibility business problems? Do you thrive in an innovation‑driven environment where you can prototype, experiment, and shape the future of AI at scale? If so, this is the role for you. We are seeking a Senior Data Scientist to join our innovation hub—a small, agile team tackling the company’s most strategic challenges. You’ll build POCs, develop end‑to‑end machine learning and generative AI solutions, and work directly with senior leaders across the enterprise. What You Bring Bachelor’s in a quantitative field required (Master’s/PhD preferred) 6+ years of experience in data science or machine learning Strong Python and SQL skills Experience with cloud platforms (AWS preferred; Azure/GCP comparable) Databricks + PySpark experience is a strong plus Background in statistical modeling, ML algorithms, and feature engineering Ability to build automated analytics workflows and work with APIs Strong communication skills with experience influencing senior stakeholders Entrepreneurial mindset, curiosity, and comfort working in fast‑moving environmentsJob Specifications / Qualifications<div>Education<ul><li>Bachelor's degree in a quantitative field required.</li><li>Master’s or PhD in a quantitative discipline preferred.</li></ul>Experience<ul><li>6+ years of professional experience or equivalent relevant work.</li><li>Proven track record leading end‑to‑end data science projects with measurable business impact.</li></ul>Technical ExpertiseCore Data Science Capabilities (expert in at least two, strong in others):<ul><li>Programming & Automation:<ul><li>Python required; experience with automation, DevOps practices, APIs, file I/O, and database integrations.</li><li>Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable).</li><li>Exposure to object‑oriented development and scalable architecture.</li></ul></li><li>Data Visualization:<ul><li>Expertise across multiple visualization tools and techniques.</li><li>Ability to tailor visuals to business use cases and audiences.</li></ul></li><li>Statistics & Machine Learning:<ul><li>Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms.</li><li>Experience leading large-scale modeling projects end-to-end.</li><li>Familiarity with generative AI approaches is a plus.</li></ul></li><li>Data Engineering / ETL:<ul><li>Strong SQL skills; ability to design, debug, and optimize complex queries.</li><li>Ability to navigate and explore large databases independently.</li><li>Experience combining internal and external data sources.</li></ul></li></ul>Soft Skills & Business Leadership<ul><li>Strong communication skills, including the ability to influence senior leaders.</li><li>Project management expertise and strong business acumen (financial services experience a plus).</li><li>Ability to manage multiple concurrent initiatives in a fast‑moving environment.</li><li>Comfortable leading engagements and representing analytics with executive leadership.</li></ul></div><div>Primary ResponsibilitiesAnalytical Solution Development<ul><li>Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling.</li><li>Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering.</li><li>Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs.</li><li>Evaluate alternative approaches and select appropriate modeling techniques for each use case.</li></ul>Data Engineering & Preparation<ul><li>Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation.</li><li>Build modeling‑ready datasets using validation, reconciliation, feature engineering, and aggregation techniques.</li><li>Write complex SQL queries involving multi‑table joins, data exploration, and troubleshooting with minimal guidance.</li><li>Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed.</li></ul>Automation & Deployment<ul><li>Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms.</li><li>Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes.</li><li>Play a lead role in operationalizing AI/ML solutions within production environments.</li></ul>Visualization, Insights & Communication<ul><li>Develop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiences.</li><li>Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners.</li><li>Translate complex technical work into business‑friendly recommendations.</li></ul>Leadership, Mentorship & Collaboration<ul><li>Coach, mentor, and develop junior data scientists; provide technical guidance and feedback.</li><li>Provide leadership on data science initiatives, ensuring outputs meet quality standards.</li><li>Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners.</li><li>Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members.</li></ul>Innovation & Research<ul><li>Stay current on emerging statistical methods, machine learning advancements, and generative AI tools.</li><li>Conduct independent R&D to prototype new approaches and explore innovative solutions for high‑visibility business problems.</li><li>Demonstrate entrepreneurial, self‑starter mindset with a strong curiosity and continuous‑learning orientation.</li></ul></div>#LI-AD1#LI-Multi ~IN1Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.$89,400.00-$183,500.00Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not.  All benefits are subject to the terms and conditions of individual Plans.Company:Unum</div>

Online Science Jobs in Lancaster, TN

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Online Science Jobs in Lancaster, TN

Mathematical Sciences (Computational or Applied), Tenure-Track Faculty Middle Tennessee State University

Adjunct Instructor of Exercise and Sport Science Cumberland University

Lecturer - Decision Sciences Tennessee Tech University

Senior Data Scientist - GenAI/Python/AWS/SQL UNUM Group

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