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Algorithm Scientist Jobs in Pennsylvania (NOW HIRING)

At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge ...

At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge ...

At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge ...

At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge ...

We are seeking a Data Scientist for our First Quality Products facility working remotely. The ... Determine requirements that will be used to train and evolve deep learning models and algorithms

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Algorithm Scientist information

See Pennsylvania salary details

$47.5K

$105.1K

$129.4K

How much do algorithm scientist jobs pay per year?

As of Jun 24, 2026, the average yearly pay for algorithm scientist in Pennsylvania is $105,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $129,000.00 per year, depending on experience, location, and employer.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.

$108K/yr

Other

Posted 28 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