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Remote Masters Computer Science Jobs in Mississippi

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Remote Masters Computer Science information

What are the key skills and qualifications needed to thrive as a Remote Masters in Computer Science graduate, and why are they important?

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

What are some common challenges faced by students in a remote Master's in Computer Science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What is a Remote Masters in Computer Science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.
What are popular job titles related to Remote Masters Computer Science jobs in Mississippi? For Remote Masters Computer Science jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Remote Masters Computer Science jobs in Mississippi look for? The top searched job categories for Remote Masters Computer Science jobs in Mississippi are:
What cities in Mississippi are hiring for Remote Masters Computer Science jobs? Cities in Mississippi with the most Remote Masters Computer Science job openings:

Sr AI/ML Data Scientist (US Federal Govt exp with TS/SCI clearance)

S R INTERNATIONAL INC

Jackson, MS • Remote

Full-time

Posted 13 days ago


Job description

State of Mississippi - Sr AI/ML Data Scientist (US Federal Govt exp with TS/SCI clearance needed) - MS - MDCPS- 156573 (Remote)

Closing Date: 3/23/2026

100% remote
Required Skills:

Bachelors, Masters, or Ph.D. in computer science, mathematics, engineering, physics, or related field.
Have participated in US Federal Govt data science programs requiring TS/SCI clearance, delivering solutions requiring the combination of geospatial disciplines and pattern of life, and Social network connections.

Data engineering expertise, with demonstrable experience custom building programs processing in excess of 700 Million records in less than :30min, on a highly frequent, reoccurring basis.

Proven expertise working with CCWIS data attributes to predict child welfare outcomes, including but not limited data attribute selection, data clean up and statistical tuning.
Extensive knowledge of statistical algorithms, machine learning, and adaptive systems.
Prior history of designing and building machine learning algorithms from the ground up.
Experience with making technical trade-offs between algorithmic approaches. based on collective errors,computational time, scalability, and outcomes.
Prior success in developing optimal non-rule-based decision-making systems where the inputs are stochastic.
Successful history of converting social processes and human decision-making into computational models that yield improved results.
Job Description:

The Mississippi Department of Child Protective Services seeks a senior data scientist to support a proof-of-concept
demonstration using natural language processing and other machine learning methods to improve the intake process.
This work is critical to demonstrate the potential of the latest technology to improve the lives of children at risk.
The Senior Data Scientist will be responsible for overseeing and supporting the development, implementation, and
testing of statistical models, integration of NLP, and refinement and testing of the prototype. In addition, algorithmic
trade-offs will be evaluated, and guidance provided to ensure the States objectives are satisfied. The Senior Data
Scientist will work closely with State stakeholders and technical team members to ensure the quality of the results and
that the derived methods are transparent, statistically sound, relevant, and documented.
Key Responsibilities
Create a Development Framework
o Establish a framework for the execution of technical tasks within the proof-of-concept. The framework will
consist of task breakouts, milestones, and deliverables
o Identify critical milestones related to information, receipt of data, testing, and delivery.
o Identify key risk factors and means of mitigation.
Current Processes & Technology
o Participate in critical discussions involving current intake workflows, how decisions are made based on
information from the intake process, and the allocation of State labor.
2
o Contribute to the identification of intake process shortcomings and prioritize based on their impact on children
and State resources.
Devise New Intake Approach Using New Technologies
o Lead the development of a new intake process that leverages natural language processing and other machine
learning algorithms.
o Identify the functional blocks and reconcile their contributions to solving the prioritized shortcomings.
o Evaluate architectural and computational implementation trade-offs for each functional block. The evaluation
should consider risk from the standpoints of technical, schedule, and security.
o Evaluate trade-offs of using different data sources, including existing systems, sample data, simulated data, or
other alternatives.
o Document the final approach for transparency.
Design Review(s)
o Create the framework for the design review process.
o Lead the design review and evaluate
The functional design with respect to resolving prioritized intake process shortcomings, and the impact on
children and State resources.
Technical, schedule, data security, and other risk factors.
Source of data and its usefulness in demonstrating the efficacy of the approach.
Proposed methods of test and demonstration.
o Documentation of the process for transparency.
Implementation of Proof-of-Concept
o Oversee the implementation of the prototype by conducting weekly status updates and, when appropriate, gate
reviews.
o Provide guidance when needed to mitigate risk and remove technical or administrative roadblocks.
Conference Room Demonstration
o During the course of 3-4 days, provide conference room support to demonstrate that shows how the prototype
application can improve child outcomes and reduce State resources.
o Capture key stakeholder comments regarding technical aspects of the application.
Roadmap
o Contribute to the development of a roadmap that illustrates how the developed technology could be integrated
into the States ecosystem of technologies and processes.
Agile Development Process
o Contribute to the Agile development process to ensure the success of the project.