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Remote Data Science Junior Jobs in Baltimore, MD

Deploy sensors, data collection tools, and monitoring infrastructure to capture OT network traffic ... Comprehensive Benefits Plan #LI-JF1 #LI-REMOTE #LI-NH1 #LI-REMOTE

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... Bachelor's degree in computer science, data science, information systems, engineering, or a related ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

You will lead complex programs, mentor junior engineers, and influence architectural direction ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Showing results 21-40

Remote Data Science Junior information

See Baltimore, MD salary details

$29.3K

$66.3K

$117.7K

How much do remote data science junior jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data science junior in Baltimore, MD is $66,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,700.00 and $74,500.00 per year, depending on experience, location, and employer.

What is a remote data science junior?

Remote Data Science Junior jobs are entry-level positions in data science that can be performed from any location, often requiring foundational skills in statistics, programming (such as Python or R), and data analysis. Junior data scientists work on tasks like cleaning data, running basic analyses, and supporting more senior data scientists on projects. These roles are ideal for recent graduates or those new to the field who want to gain practical experience while working remotely. Remote positions typically require strong communication skills and the ability to collaborate effectively in a virtual environment.

How do remote data science juniors typically collaborate with their team and receive mentorship while working remotely?

As a Remote Data Science Junior, collaboration and mentorship are often facilitated through regular video meetings, code reviews, and chat platforms like Slack or Microsoft Teams. You’ll likely participate in daily stand-ups, project planning sessions, and pair programming to stay connected with your team. Many organizations also assign mentors or buddy systems to support junior professionals, offering guidance on technical questions and professional development. Proactive communication and willingness to ask questions are key to thriving in a remote environment.

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

To thrive as a Remote Data Science Junior, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, often supported by a relevant degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL databases, and data visualization platforms such as Tableau is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and independent work. These skills are crucial for efficiently analyzing data, deriving actionable insights, and contributing to team goals from a remote setting.

What are the most commonly searched types of Remote Data Science jobs in Baltimore, MD?

The most popular types of Remote Data Science jobs in Baltimore, MD are:

Data Scientist, Level 1

WOOD Federal Solutions

Fort George G Meade, MD • On-site, Remote

$138K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Data Scientist, Level 1

woodfederalsolutions.com

Location: Fort Meade, Maryland, USA

Job Type: Full-Time

Shift: Day

Telework: None

Salary Range: **$138,200 to $152,000 per year

** Starting salary is based on minimum education and years of experience and increases based on education and/or experience.

Overview: We’re seeking a Data Scientist who turns complex data into clear, actionable insight. In this role, you will design and prototype machine learning, statistical, graphbased, and datamining algorithms to analyze diverse datasets. You’ll compare candidate models with rigorous performance metrics, build experiments or synthetic datasets when real data is limited, and translate findings into concise reports and visualizations for customers. Working closely with subject matter experts, you’ll convert manual analyses into automated analytics and implement prototype algorithms within production frameworks so insights flow directly into analyst workflows. Join us to shape decisions with data—grow your expertise, build productiongrade analytics, and accelerate your career at the intersection of AI and mission impact.

Security Clearance Requirements:

This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.


  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Collaborate with subject matters experts (SMEs) to identify important information in raw data
    and develop scripts that extract this information from a variety of data formats (e.g., SQL tables,
    structured metadata, network logs).
  • Incorporate SME input into feature vectors suitable for analytic development and testing.
  • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
  • Develop statistical tests to make data-driven recommendations and decisions.

Required Education & Years of Experience:

  • Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets anddeveloping analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Fringe Benefits:

  • Health Insurance: Comprehensive medical, dental, and vision plans.
  • Retirement Plan: 401(k) with company match.
  • Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
  • Professional Development: Opportunities for training, certifications, and career advancement.
  • Work-Life Balance: Flexible work schedules and remote work options.
  • Wellness Programs: Employee assistance programs, wellness initiatives, and gym membership discounts.

Why Join Us?

  • Career Growth: Take advantage of professional development opportunities and career advancement. As a vital part of impactful projects, you will have the chance to drive innovation and shape the future of government systems engineering.

  • Supportive Environment: Work in a collaborative and flexible environment that values work-life balance. Join a team of top-tier professionals and engage in dynamic, cross-functional collaboration. Your strategic mindset and proactive approach will be highly valued and supported.

  • Competitive Compensation: Enjoy a competitive salary and comprehensive benefits package. We recognize and reward your expertise and dedication to excellence.

WOOD Federal Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.