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Entry Level Masters Computer Science Jobs in Washington

Systems-Logic Inc

JAVA Developer

Sterling, VA · On-site

$50.50 - $65.25/hr

Qualifications: - Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems ... Entry Level/Fresher/experience Locations: PA, MD, TN, DE, CT, CA, NY, NJ, CA, VA, DC, etc. (must ...

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Entry Level Masters Computer Science information

What is the difference between Entry Level Masters Computer Science vs Entry Level Software Developer?

CriteriaEntry Level Masters Computer ScienceEntry Level Software Developer
Required CredentialsBachelor's or Master's in Computer Science or related fieldBachelor's degree in Computer Science, Software Engineering, or related field
Work EnvironmentResearch labs, tech companies, startups, academiaTech companies, startups, software firms, IT departments
Employer & Industry UsageAcademic institutions, research projects, industry rolesSoftware development, application programming, tech services
Common Search & ComparisonYesYes

Entry Level Masters Computer Science typically refers to roles requiring advanced degrees and research experience, often in academia or research-focused companies. Entry Level Software Developer usually requires a bachelor's degree and focuses on coding, application development, and software implementation. While both roles share similar educational backgrounds, the Masters role emphasizes research and theoretical knowledge, whereas the Software Developer role emphasizes practical coding skills and project work.

What kind of job can I get with an entry level masters in computer science?

An entry-level master's in computer science can qualify you for roles such as software developer, data analyst, systems analyst, or IT support specialist. These positions typically require knowledge of programming languages, databases, and problem-solving skills, and may involve working with tools like Java, Python, or SQL in team environments. Certifications like CompTIA or Cisco can enhance job prospects.

What are the most commonly searched types of Masters Computer Science jobs in Washington?

The most popular types of Masters Computer Science jobs in Washington are:

What are popular job titles related to Entry Level Masters Computer Science jobs in Washington?

For Entry Level Masters Computer Science jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Entry Level Masters Computer Science jobs in Washington look for?

The top searched job categories for Entry Level Masters Computer Science jobs in Washington are:

What cities in Washington are hiring for Entry Level Masters Computer Science jobs?

Cities in Washington with the most Entry Level Masters Computer Science job openings:

Entry Level Masters Computer Science jobs near you
Infographic showing various Entry Level Masters Computer Science job openings in Washington as of September 2026, with employment types broken down into 2% Internship, 60% Full Time, 33% Part Time, and 5% Temporary. Highlights an 88% In-person, and 12% Remote job distribution.

Data Science - Washington DC - Fulltime

Washington, DC • On-site

Hexaware Technologies, Inc
IT Services • 10K+ employees
Learn more about Hexaware Technologies, Incexternal

Other

Posted 16 days ago

Job description

Job Description

The Finance - Data Science - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses that will be used to support the Multifamily CECL and DFAST/forecasting processes within the Finance organization.
Research and evaluate model results and perform credit-related analyses for both expected and stress scenarios including CECL/DFAST.
Coordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses to drive success of parts of projects, programs, or products.
Ensure application of statistical modeling capabilities from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
Build predictive analytic capabilities within the team to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
Oversee the design and build of new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
Ensure the team communicates complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials. Desired Experiences
Bachelor degree or equivalent
A Masters degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies
Familiarity with advanced techniques including machine learning and natural language processing (NLP)
Prior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.
Ability to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis
Ability to build and maintain strong business relationships with partners
Strong written and verbal communication skills
Relationship management including managing and engaging stakeholders, partners, customers, and building relationship networks
Strong analytical and problem-solving skills to conduct and manage analysis to address complex business problems
Programming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar
Experience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data
Expertise in visualizing data to identify, summarize and explain observed data patterns
Tools
R programming
Tableau
Python
SQL
DBeaver SQL client software
BitBucket

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