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Entry Level Data Science Jobs in Crofton, MD (NOW HIRING)

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Entry Level Data Science information

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

As of Jul 10, 2026, the average hourly pay for entry level data science in Crofton, MD is $19.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $21.63 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 are the most commonly searched types of Data Science jobs in Crofton, MD? The most popular types of Data Science jobs in Crofton, MD are:
What are popular job titles related to Entry Level Data Science jobs in Crofton, MD? For Entry Level Data Science jobs in Crofton, MD, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Crofton, MD look for? The top searched job categories for Entry Level Data Science jobs in Crofton, MD are:
What cities near Crofton, MD are hiring for Entry Level Data Science jobs? Cities near Crofton, MD with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Crofton, MD as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $40,078 per year, or $19.3 per hour.
Anesthesiology Faculty - Data Science Research

Anesthesiology Faculty - Data Science Research

University of Maryland, Baltimore

Baltimore, MD • On-site

$69K - $164K/yr

Full-time

Medical, PTO

Posted 2 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

222nd of 546 rated colleges and universities


Job description

Job Description
We are seeking an entry-level data scientist, junior faculty to join our clinical data research lab. The ideal candidate will have a strong foundation in statistics, machine learning, and data programming. This position is expected to work in two separate locations, in the STAR-ORC lab located at the UMB campus and at the new University of Maryland-Institute for Health Computing, which is a major computational research hub in North Bethesda that uses next-generation computational analytics to improve health and human disease. The position will be responsible for developing and implementing data analysis pipelines to support a variety of clinical research projects, as well as mathematical modeling to improve predictions and analytic capabilities that merge different kinds of data assets (i.e., clinical, biological, environmental).
Job Duties:
l Lead the data analysis in clinical and laboratory research projects. Join team meetings and provide suggestions in research methodologies and plannings.
l Develop grants applications.
l Develop and maintain data analysis pipelines, including data extraction, cleaning, transformation, quality assurance, pipeline monitoring and maintenance.
l Apply statistical and machine learning methods to support meaningful data analyses.
l Create high-quality and informative graphs and write corresponding manuscript sections to describe the methodology and results in detail for scientific publications.
l Work with other members of the team to design and conduct clinical research studies.
l Collaborate with clinicians and scientists to translate research findings into clinical practice.
l Apply next-generation computational approaches to clinical, biological, and environmental big data assets.
l Integrate high-level mathematics to predict events that are important in health outcomes, including treatment response, hospitalizations, and other end-points.
l Promote analytics that consider bias and improve health equity.
Required Qualifications:
l Strong programming skills in Python, R, or another statistical programming languages.
l Experience with statistical methods (such as descriptive statistics, hypothesis testing, time series analysis, etc.) and machine learning methods (data cleaning, feature engineering, hyperparameter tuning, model evaluation and interpretation).
l Scientific literature search and review skills.
l Excellent analytical and problem-solving skills. Be able to work independently and collaboratively.
l Good communication (written and oral) and interpersonal skills.
l Experience as a good team member or team leader.
Preferred Qualifications:
l Experience with clinical data and clinical research methods.
l Experience with statistical and machine learning libraries and tools, such as Scikit-learn, pandas.
l Experience as a good team member or team leader, autonomy in the health care system clinical analytics field, and pursuing health equity.
l A significant publication record in clinical/health care analytics or healthcare.
l A track record of applications for grant funding in clinical/health care analytics.
l Experience with deep learning and its framework (e.g. Pytorch) is a plus.
Required Education and Experience:
l Doctoral degree in statistics, computer science, data science, or a related field.
l A faculty member at an academic medical center (or equivalent) in good standing at the level of assistant professor or above (rising assistant professors also considered).
l 0-2 years of experience in a data science role.
UMB is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. If you need a reasonable accommodation for a disability for any part of the employment process, please submit an online or contact . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
Qualifications
Please reference this recruitment advertisement and position number in your cover letter. Interested candidates should use this online portal to submit their cover letter, CV and contact information for three references.
Qualified applicants must have a doctoral degree, professional experience consistent with the faculty rank of Assistant Professor or higher and a track record of independent research funding from diverse sources.
Salary Range - Base Compensation [Research Faculty w/ PhD Degree]
Expected Salary Range: $69,336 to $164,684.
*The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of the Department of Anesthesiology faculty compensation program or pay from participation in Department of Anesthesiology incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department.
The referenced salary range represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
UMB offers a comprehensive that prioritizes wellness, work/life balance, and professional development. This position participates in a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school.
Qualifications
Please reference this recruitment advertisement and position number in your cover letter. Interested candidates should use this online portal to submit their cover letter, CV and contact information for three references.
Qualified applicants must have a doctoral degree, professional experience consistent with the faculty rank of Assistant Professor or higher. Expected rank for this position will be Assistant Professor or higher, however, final rank and tenure status will be commensurate with selected candidate's experience

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