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Weekend Data Scientist Trainee Jobs in Rosedale, MD

We advise our trainees not to wait till the next class to seek answers to any technical issue. โ€ข ... weekend class. โ€ข We are offering online training on Data Science. . Provide OPT Stem Ext.

Environmental Scientist II

Baltimore, MD ยท On-site

$74K - $97K/yr

Utilize GPS, ArcGIS, and Microsoft Office for project data collection, analysis, and reporting ... weekend or holiday work. * Must have a valid driver's license. We value your interest in our ...

Its capabilities include data science, software development, network engineering, intelligence ... May be requested to work evenings and weekends to meet program and contract needs Working at SOSi ...

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Weekend Data Scientist Trainee information

See Rosedale, MD salary details

$36K

$117.7K

$188.5K

How much do weekend data scientist trainee jobs pay per year?

As of Jul 31, 2026, the average yearly pay for weekend data scientist trainee in Rosedale, MD is $117,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,400.00 per year, depending on experience, location, and employer.
What are popular job titles related to Weekend Data Scientist Trainee jobs in Rosedale, MD? For Weekend Data Scientist Trainee jobs in Rosedale, MD, the most frequently searched job titles are:
Infographic showing various Weekend Data Scientist Trainee job openings in Rosedale, MD as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $117,722 per year, or $56.6 per hour.

Senior Data Scientist with Security Clearance

MissionEdge Technologies, LLC

Fort George G Meade, MD โ€ข On-site

$150K - $188K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 24 days ago


Job description

SALARY REQUIREMENTS Candidates are invited to submit their salary expectations along with their application. The compensation for this role will be competitive and is aligned with industry standards, taking into consideration factors such as experience, education, and geographic location. The base salary range for this position is $150,200 to $188,700 (USD), exclusive of any discretionary bonuses and benefits. JOB DESCRIPTION MissionEdge Technologies is seeking a talented Data Scientist to develop innovative analytics and machine learning solutions that support mission-critical intelligence operations. In this role, you will analyze complex datasets, build and optimize predictive models, identify patterns and anomalies, and transform data into actionable insights. You will collaborate with analysts, software developers, and fellow data scientists to deploy scalable solutions, improve model performance, and ensure data quality. Responsibilities also include integrating data from diverse sources, documenting processes and models, communicating findings to stakeholders, and staying current with emerging data science technologies and best practices. The ideal candidate has experience with statistics, machine learning, data engineering, and analytical problem-solving, along with the ability to translate complex technical findings into clear, actionable recommendations. Minimum Required Qualifications: * Due to the nature of this position and the information that employees will be required to access; U.S. Citizenship is required.
* Active TS/SCI w/ polygraph
* Bachelor's degree in relevant field and 8 years of experience; an advanced degree will be considered in lieu of years of experience
* Proficient in Python
* Experience with Docker and Kubernetes
* Experience with end-to-end workflows/projects
* 3+ years of Defensive Cyber Operations experience
* 3+ years of Machine Learning techniques and statistical model evaluation Desired/Preferred Skills: * Master's degree in relevant field and 4 years of experience
* Demonstrated expertise with R or Python, and SQL to manipulate data and draw insights from large and small data sets
* Exposure to AWS (Amazon Web Services), Cisco (CCNA), and/or STIGs/IAVA, Big Data Platform (BDP)
* Strong background and skills in Linux (Ubuntu, CentOS, RHEL)/Windows/Virtual environments
* A problem solver who can get in, be given a project, and use engineering skills to determine a solution
* Jupyter Notebooks, Network Analysis Tools Working Conditions: Work is typically based in a busy office environment and subject to frequent interruptions. Business work hours are normally set from Monday through Friday 8:00am to 5:00pm, however some extended or weekend hours may be required. Additional details on the precise hours will be informed to the candidate from the Program Manager/Hiring Manager. Employees are required to notify management in advance of any plans to relocate out of state to ensure compliance with company policies and applicable employment regulations. Physical Requirements: May be required to lift and carry items weighting up to 25 lbs. Requires intermittent standing, walking, sitting, squatting, stretching and bending throughout the workday. Background Screening/Check/Investigation: Successful Completion of a Background Screening/Check/Investigation will be required as a condition of hire. Benefits: MissionEdge Technologies offers competitive compensation, a flexible benefits package, career development opportunities that reflect its commitment to creating a diverse and supportive workplace. Benefits include, not all inclusive - Medical, Vision & Dental Insurance, Paid Time-Off & Company Paid Holidays, Personal Development & Learning Opportunities. At MissionEdge Technologies, we believe that investing in our employees' health is essential for fostering a productive and engaged workforce. We are committed to providing the resources and support necessary for our employees to thrive both personally and professionally. Other: This employer participates in employment verification and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. MissionEdge Technologies is an Equal Opportunity/Affirmative Action Employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis prohibited by applicable law. We strive to create a diverse, inclusive and respectful work culture that values all.