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Computer Science Data Jobs in Philadelphia, PA (NOW HIRING)

Varsity Tutors

AP Computer Science A Tutor

Chester, PA · Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

MSD

Senior Specialist, Data Science

West Point, PA · On-site

$129K - $203K/yr

D. or M.S. in Computer Science, Computational Biology, Computational Chemistry, Bioinformatics ... Computational Biology, Computational Chemistry, Data Engineering, Data Modeling, Data Science, Data ...

Varsity Tutors

AP Computer Science A Tutor

Trenton, NJ · Remote

$40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Lutron Electronics

Lead Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

Required : • Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, or Software Engineering • Minimum, cumulative GPA of 3.00 for all degrees earned • 8+ years ...

Deloitte

Generative AI Data Engineer III

Philadelphia, PA

$115K - $138K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field * 5+ years of professional experience * 3+ years of experience designing ...

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Computer Science Data information

What are some common challenges faced by professionals working in computer science data roles, and how can they be addressed?

Professionals in computer science data roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and keeping up with rapidly evolving technologies. Collaboration with cross-functional teams is essential, as data professionals frequently work with engineers, analysts, and business stakeholders to interpret data and deliver actionable insights. To address these challenges, it's important to invest in continuous learning, leverage automation tools for data cleaning, and maintain clear communication channels within the team.

What is the difference between Computer Science Data vs Data Analyst?

AspectComputer Science DataData Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentSoftware development, data engineering, algorithm designData interpretation, reporting, visualization
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, marketing, healthcare
Common Search & ComparisonOften compared for data handling and programming skillsCompared for data interpretation and business insights

Computer Science Data professionals focus on developing algorithms, managing data systems, and building software solutions. Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles work with data, their core responsibilities and skill sets differ significantly.

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

To thrive as a Data Scientist in Computer Science, you need strong analytical skills, proficiency in statistics, and a solid background in programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools like Python, R, SQL, and machine learning frameworks, as well as certifications such as AWS Certified Data Analytics or Google Data Engineer, are highly valuable. Excellent problem-solving abilities, communication skills, and curiosity help you interpret data insights and explain findings to non-technical stakeholders. These skills ensure you can extract actionable insights from complex data, drive business decisions, and collaborate effectively within multidisciplinary teams.

What is computer science data?

Computer science data refers to the information that is processed, analyzed, and utilized within the field of computer science. This data can include anything from raw numbers and text to images, audio, and video, and is often used in programming, machine learning, artificial intelligence, databases, and data analysis. Understanding how to collect, store, structure, and interpret data is a fundamental skill for computer scientists and is crucial for solving real-world problems using technology.
Computer Science Data jobs near you

Data Scientist

Employment Opportunities for Veterans | CMS

Philadelphia, PA

$108K/yr

Other

Posted 23 days ago

Job description

This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Office of Human Capital, Human Capital Strategy & Systems Group, Division of Workforce Analytics & Accountability.
As a Data Scientist, GS-1560-13, you will design, develop, and implement the analytical, statistical, and programming mechanisms necessary to collect, organize, analyze, and interpret unique and specialized human resources (HR) data sets.Qualifications:ALL QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE OF THIS ANNOUNCEMENT.
Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position. Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating. This will prevent you from receiving further consideration.
In order to qualify for the GS-13, you must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-12 grade level in the Federal government, obtained in either the private or public sector, to include:
1) Experience leading the end-to-end data life-cycle, including data acquisition, integration, governance, analysis, and dissemination, to transform diverse data sources into actionable insights; 2) Experience leveraging advanced analytics and statistical modeling techniques (e.g., multivariate regression, predictive modeling, machine learning algorithms, or similar methods) to inform organizational strategy and guide data-driven decision-making; AND 3) Experience communicating complex analytical findings through clear, concise, and compelling narratives supported by data visualizations (e.g., dashboards, charts, and executive briefings) tailored to diverse stakeholder audiences.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Education Requirement: In addition to meeting the qualification requirements, all candidates must have the following educational requirements:

Basic Requirements:

  1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

    or

  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.


TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. Failure to submit a copy of your transcripts at the time of application WILL result in an ineligible rating. Please see "Required Documents" section below for what documentation is required at the time of application.
Click the following link to view the occupational questionnaire: https://apply.usastaffing.gov/ViewQuestionnaire/12968505Employment Type: OTHER

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