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Entry Level Decision Scientist Jobs (NOW HIRING)

Medpace, Inc.

Entry-level Sales Associate

Cincinnati, OH · On-site +1

$35K - $48K/yr

Develop in-depth knowledge about the scientific and operational benefits of Medpace services to ... Gain commitment from new account decision makers to take part in a General Capabilities Call or ...

Medpace, Inc.

Entry-level Sales Associate

Cincinnati, OH · On-site

$35K - $48K/yr

Develop in-depth knowledge about the scientific and operational benefits of Medpace services to ... Gain commitment from new account decision makers to take part in a General Capabilities Call or ...

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Entry Level Decision Scientist information

What are some common challenges faced by entry level decision scientists when transitioning from academic projects to real-world business problems?

Entry-level decision scientists often find that real-world business problems are less structured and more ambiguous than academic assignments. Unlike textbook scenarios, data may be incomplete or messy, and objectives can shift based on stakeholder priorities. Adapting to these challenges requires strong communication skills to clarify goals with business partners, as well as the flexibility to iterate on models and analyses as new information emerges. Collaborating effectively with cross-functional teams is essential for aligning technical solutions with practical business needs.

What are the key skills and qualifications needed to thrive as an entry level decision scientist?

To thrive as an Entry Level Decision Scientist, you need a solid background in statistics, data analysis, and problem-solving, often supported by a bachelor's degree in a quantitative field. Familiarity with data analysis tools like Python, R, SQL, and visualization platforms such as Tableau is typically required. Strong critical thinking, communication, and teamwork skills help you interpret data and present actionable insights effectively. These abilities are crucial for translating complex data into strategic recommendations that drive business decisions.

What is an entry level decision scientist?

Entry level decision scientists are professionals who use data analysis, statistical methods, and business knowledge to help organizations make informed decisions. They typically work with large datasets to identify trends, solve problems, and recommend actions that improve business outcomes. At the entry level, they may assist senior decision scientists by cleaning data, building basic models, and preparing reports, while developing their technical and analytical skills. This role is ideal for recent graduates with backgrounds in statistics, mathematics, economics, or related fields who want to start a career in data-driven decision making.

What is the difference between Entry Level Decision Scientist vs Data Analyst?

AspectEntry Level Decision ScientistData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles may prefer certifications in analytics toolsBachelor's in Data Science, Statistics, or related field; certifications in Excel, SQL, or data visualization are common
Work EnvironmentCollaborates with decision-makers, develops models, and supports strategic decisionsAnalyzes data sets, creates reports, and visualizations to inform business insights
Employer & Industry UsageUsed in finance, marketing, healthcare, and retail for decision supportCommon across industries for data reporting and analysis tasks

Entry Level Decision Scientists and Data Analysts share similar educational backgrounds and work environments. However, Decision Scientists focus more on building predictive models and supporting strategic decisions, while Data Analysts primarily analyze data and generate reports. Both roles are essential in data-driven organizations, with Decision Scientists often taking a more advanced analytical approach.

More about Entry Level Decision Scientist jobs
What are the most commonly searched types of Decision Scientist jobs? The most popular types of Decision Scientist jobs are:
What states have the most Entry Level Decision Scientist jobs? States with the most job openings for Entry Level Decision Scientist jobs include:
What job categories do people searching Entry Level Decision Scientist jobs look for? The top searched job categories for Entry Level Decision Scientist jobs are:
Entry Level Decision Scientist jobs near you
Infographic showing various Entry Level Decision Scientist job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Entry-Level Analyst

Augur Consulting

Arlington, VA • On-site

Full-time

Re-posted 15 days ago

Job description

Entry-Level Analyst
U.S. citizenship required.
Are you a critical thinker with acumen for problem solving? Would you like to help the government tackle some of its most challenging cost, schedule, and performance issues? Then we want to talk with you. Here at Augur, we believe in creating a fun and challenging environment that embraces team spirit while fostering high-performance.
Augur is a small business, and every employee has a direct impact on the success of the company. New hires receive intensive training and are quickly put into a position to provide unique and meaningful contributions. Analysts work in a collaborative and cross-functional environment, interfacing with subject matter experts, gaining exposure to a wide variety of analytical disciplines, and learning consulting best practices.
We are looking for motivated and analytically oriented recent graduates who are ready to start their career next door to our nation's capital. If you like problem solving, working in a dynamic team environment, and quantitative analysis, this may be the opportunity for you.
Augur Consulting, Inc. is an Equal Opportunity Employer
Responsibilities:
Our analysts work closely with government program offices in the acquisition of cutting edge defense technologies and energy projects. Analysts collaborate with cross functional experts and conduct research to gather inputs, perform analysis, develop models, compile and interpret results, and defend findings.
Cost Analysis responsibilities include: Development and maintenance of complex cost models, life cycle cost analysis, cost risk analysis, and cost performance tracking. Special projects include analysis of alternatives (AoA), business case/cost-benefit analysis, regression analysis, and cost excursions as needed by customers.
Schedule Analysis responsibilities include: Critical path analysis, schedule variance analysis, integrated master schedule development and tracking, vendor performance analysis and tracking, schedule risk analysis and ad-hoc problem solving.
Performance Management responsibilities include: Performing baseline events, audits, surveillance, and analysis/management of vendor performance, ensuring that program baselines are executable and measurable, conducting/leading/training the government on how to perform a proper baseline event, and other ad hoc methods to evaluate vendor performance and ensure tax dollars are executed efficiently.
Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO$TAT, or LITUUS to develop dashboards, assessments, analyses reports, etc. to enable program managers to make informed decisions surrounding cost, schedule, vendor performance and other ad-hoc decision support.
Education:
A Bachelor's degree is required, with a preference for quantitative science or business disciplines (Economics, Math, Statistics, Finance, Business, Physics, Engineering, etc.)
Requirements:
Candidates must be proficient in quantitative analysis, project management concepts, and data collection and interpretation. Strong problem solving, critical thinking, teamwork, communication, and presentation skills are necessary. Applicants should be proficient in MS Office (Word, PowerPoint, and Excel). Experience with MS Project, analytical software tools, and programing languages such as R, Python, and VBA is helpful but not required.
Must be able to obtain and maintain the necessary levels of security clearance.
U.S. citizenship required.

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