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Entry Level Data Science Jobs in Exeter, NH (NOW HIRING)

Entry Level Data Scientiest

Manchester, NH ยท On-site

$16.25 - $21.75/hr

Identify valuable data sources and automate collection processes * Undertake preprocessing of ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Full Stack/Java Developer(REMOTE)

Rochester, NH ยท On-site

$51.50 - $66.50/hr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Discover your exciting role Exentec Biopharma Solutions is seeking an entry-level Purchasing ... Inventory & Data Management * Maintain and support vendor-controlled inventory and KANBAN systems.

ACCOUNTING CLERK

Andover, MA ยท On-site

$22.50 - $32/hr

Overview The Accounting Clerk is an entry level, non-exempt position that reports to the Assistant ... Gather and enter data for account and inventory reconciliations and sales tax reporting into ...

ACCOUNTING CLERK

Andover, MA ยท On-site

$22.50 - $32/hr

Description Overview The Accounting Clerk is an entry level, non-exempt position that reports to ... Gather and enter data for account and inventory reconciliations and sales tax reporting into ...

ACCOUNTING CLERK

Andover, MA ยท On-site

$22.50 - $32/hr

Job Type Full-time Description Overview The Accounting Clerk is an entry level, non-exempt position ... Gather and enter data for account and inventory reconciliations and sales tax reporting into ...

Entry Level Data Science information

See Exeter, NH salary details

$10

$19

$27

How much do entry level data science jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for entry level data science in Exeter, NH is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.78 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What job categories do people searching Entry Level Data Science jobs in Exeter, NH look for? The top searched job categories for Entry Level Data Science jobs in Exeter, NH are:
What cities near Exeter, NH are hiring for Entry Level Data Science jobs? Cities near Exeter, NH with the most Entry Level Data Science job openings:
Entry Level Data Scientiest

Entry Level Data Scientiest

SynergisticIT

Manchester, NH โ€ข On-site

$16.25 - $21.75/hr

Other

Re-posted 15 days ago


Job description

Job Title

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.

Job Description

Good understanding of the below models:

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to identify client trends and patterns
  • Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
  • Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
  • Unsupervised/Clustering algorithms
  • NLP models, Deep Learning models for image classification
Desired Candidate Profile

Skills required:

  • Hands on experience Python scripting
  • Hands on experience in building Machine Learning and Artificial Intelligence models
  • Good knowledge on Exploratory Data Analysis (EDA)
  • Hands on experience on platforms - Microsoft Azure/Amazon Web Services
  • Libraries โ€“ Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.
  • Excellent English communication (both oral and written) and reading comprehension skills.
  • Strong analytical and problem-solving skills, with clear attention to detail.

Education Requirement:

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits:

  • On Job Technical support
  • E- verified
  • Filing of H1b and Green card
  • Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you