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Data Science Jobs in Hanover, NH (NOW HIRING)

Munich Re

Technical Architect - Data, Analytics & AI

Lebanon, NH · Hybrid

$71.50 - $92/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

D-H Lebanon-MHMH

Senior Database Developer

Lebanon, NH · On-site

$90K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provides guidance in data modeling and data warehouse design as well as guidance to define data ... Bachelor's degree in Statistics, Health Informatics, Computer Science or related field is preferred.

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Data Science information

See Hanover, NH salary details

$37.4K

$122.5K

$196.2K

How much do data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in Hanover, NH is $122,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $135,800.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Hanover, NH?

The most popular types of Data Science jobs in Hanover, NH are:

What are popular job titles related to Data Science jobs in Hanover, NH?

For Data Science jobs in Hanover, NH, the most frequently searched job titles are:

What cities near Hanover, NH are hiring for Data Science jobs?

Cities near Hanover, NH with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Hanover, NH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,539 per year, or $58.9 per hour.

Teaching Assistant (TAs), Health Data Science

Dartmouth College

Hanover, NH • On-site

Temporary

Re-posted 14 days ago

Dartmouth College rating

8.7

Company rating: 8.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

55th of 618 rated colleges and universities

Job description

Position Details
Position Information
Position Title
Teaching Assistant (TAs), Health Data Science
Position Number
0000000
Hiring Range Minimum
$200/week
Hiring Range Maximum
$200/week
Location of Position
Remote
Advertisement Text
Position Purpose
To work closely with Supervising Faculty and staff to ensure effective delivery of curriculum by supporting presentations, discussion groups, student evaluations and student feedback.
Required Qualifications
  • Demonstrated knowledge of specific course content through satisfactory completion of course or equivalent course work or experience.
  • Bachelor's degree.

Preferred Qualifications
  • Master's degree in subject relevant to course.
  • Previous experience in teaching, assistant teaching, or tutoring.
  • Excellent interpersonal and communication skills, including listening skills.
  • Consistently maintains a positive, patient, and encouraging attitude with students.
  • Ability to provide tactful oral and written feedback.
  • Ability to explain concepts and facilitate small group discussions.
  • Proficiency with Microsoft Office software, specifically Word, Excel, and PowerPoint.
  • Ability to demonstrate specific course-related software features for students, which may • include Canvas, Zoom, Stata, RevMan, or EndNote.
  • Ability to maintain confidentiality.
  • Attention to detail.
  • Commitment to diversity and to serving the needs of a diverse population.

FLSA
Non-Exempt
Employment Category
Temporary Part time
Schedule
Looking for TA support for our Summer & Fall courses.
We are hiring for 4 week courses and 8 weeks courses.
This role will work up to 12 hours in one week.
Department Contact for Recruitment Inquiries
Andrea Wright
Department Contact Phone Number
Andrea.L.Wright@dartmouth.edu
Department Contact for Cover Letter
Monica Espinoza, Program Director
Contact's Phone Number
Equal Opportunity Employer
Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.
Background Check
Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
Special Instructions to Applicants
This job posting is not accepting external applications at this time.
Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy. https://policies.dartmouth.edu/policy/tobacco-free-policy
Additional Instructions
We review applications on a rolling basis for this position and will hire multiple applicants into this role; we encourage applicants to apply throughout the year.
Quick Link
https://searchjobs.dartmouth.edu/postings/83833
Key Accountabilities
Key Accountabilities
  • Works closely with course faculty and program staff to develop and evaluate assignments and associated homework. 20%
  • Conducts and facilitates group discussions by encouraging critical analysis and evidence-based dialogue. 5%
  • Provides students assistance through tutoring and coaching. 10%
  • Assists course faculty with evaluating students' work (e.g., offering feedback and assigning grades), including individual and group assignments, examinations, participation, and attendance. 40%
  • Attends course sessions and assists instructor in class management (e.g., dividing class into appropriate groupings, facilitating discussions among students, answering students' questions, etc.). 15%
  • May co-teach some sessions as appropriate. 5%
  • Supports class and classroom logistics. 5%

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Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.
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Performs other duties as assigned.

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