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Entry Level Decision Scientist Jobs (NOW HIRING)

Bachelor of Science degree in Mechanical Engineering, Aeronautical Engineering or similar * Must be ... more dynamic decision-making processes. We offer flexible schedules as well as an excellent ...

... Entry-level experience in a clinical laboratory, which may include a hospital-based student ... decision-making, and investigative skills. 5. Demonstrated excellence with listening, verbal, and ...

Scientist I, Analytics & Metrology Entegris is growing and is seeking an entry-level chemist to ... Our decision-making process is truly a collaborative effort as we realize there are leaders at ...

Scientist I, Analytics & Metrology Entegris is growing and is seeking an entry-level chemist to ... Our decision-making process is truly a collaborative effort as we realize there are leaders at ...

If you like looking for answers in data and using analysis to drive decision-making, and you are ... entry-level employees. The ability to relate to different types of people and understand their ...

If you like looking for answers in data and using analysis to drive decision-making, and you are ... entry-level employees. The ability to relate to different types of people and understand their ...

If you like looking for answers in data and using analysis to drive decision-making, and you are ... entry-level employees. The ability to relate to different types of people and understand their ...

If you like looking for answers in data and using analysis to drive decision-making, and you are ... entry-level employees. The ability to relate to different types of people and understand their ...

... decision-making and driving business growth. Within our Technology Consulting practice, you will ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... decision-making and driving business growth. Within our Technology Consulting practice, you will ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... decision-making and driving business growth. Within our Technology Consulting practice, you will ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... decision-making and driving business growth. Within our Technology Consulting practice, you will ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... decision-making and driving business growth. Within our Technology Consulting practice, you will ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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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.

Is it entry or entery?

The correct term for starting level positions, including entry-level decision scientist roles, is 'entry,' not 'entery.' There is no recognized job-related term 'entery.' Accurate spelling ensures clear communication in job applications and resumes.

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

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 are entry level decision scientists?

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 synonym of entry?

In the context of an entry-level decision scientist position, a synonym for 'entry' is 'initial' or 'beginner,' indicating a role suitable for those starting their careers with foundational skills in data analysis, statistics, and programming tools like Python or R. These roles typically require minimal professional experience and focus on learning and development within a team environment.

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.

What does entry mean?

In the context of an Entry Level Decision Scientist role, 'entry' indicates a position suitable for candidates with limited professional experience or recent graduates. It typically requires foundational skills in data analysis, statistics, and familiarity with tools like Python or R, and often offers on-the-job training to develop expertise.

Is it entree or entry?

The correct term for the job level is 'entry,' as in entry-level decision scientist roles. These positions typically require minimal professional experience and focus on foundational skills in data analysis, statistics, and programming tools like Python or R. The term 'entree' is unrelated and refers to food, not job levels.
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:
Infographic showing various Entry Level Decision Scientist job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 83% Full Time, 14% Part Time, and 1% Temporary. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Junior Data Scientist - Clearance Required

Junior Data Scientist - Clearance Required

Logistics Management Institute

El Segundo, CA โ€ข On-site

$69K - $118K/yr

Other

Posted 23 days ago


Job description

Overview
LMI is actively seeking a dynamic, Entry-level Data Scientist to join LMI's Space Market data scientist team in Colorado Springs, CO. This role involves working directly with USSF and US Government customers, as well as analytical partners, to drive the development of responsive, high-performance user interfaces within LMI's Modeling, Simulation, Prototyping, Wargaming, & Analysis platform, RAPTRยฎ.
The ideal candidate is passionate about Space and interested in using data science skills to help guide USSF into the future. In this role, you will join the data science team to analyze simulations of USSF portfolios, to include supporting Guardian training. You will be assisting the data science team to create robust analysis pipelines. You'll work with our high-tech customers to understand their technology, investment, performance, resilience, and policy questions and use this insight to craft high-performance analytical pipelines for use in workstation, server, and cloud (AWS) deployment environments.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
  • Collaborate with an integrated team of data scientists, data analysts, and functional SMEs to develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
  • Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.
  • Understand and analyze complex datasets
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use
  • Support the maturation of data quality
  • Transform data and analysis into informative visualizations and interactive dashboards
  • Provide regular detailed reporting to management and customers
  • Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers

Qualifications
Required:
  • Bachelor's degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline
  • Competency with data science/analysis coding languages like SQL, Python, or R
  • Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js
  • Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
  • Self-starter with the vision to independently identify opportunities for improvement through data analytics
  • Ability to work in teams and independently
  • Excellent communication skills, written and oral
  • Innovative problem-solving skills and ability to thrive in a fast-paced environment
  • Active TS with SCI eligibility is required

Desired:
  • Advanced degree in Computer Science or related field.
  • Experience using python libraries to build machine learning models like regression models and decision trees
  • Experience with version control software e.g Git
  • Proficiency in either SQL (e.g., MySQL, PostgreSQL) or NoSQL (e.g., MongoDB) databases.
  • Experience with back-end technologies (Rust, Python, Java) within agile development frameworks
  • Passionate desire to make the joint warfighter world a better place with cost-effective, performant space architectures which enable operations and mission success
  • Space domain experience and familiarity with space-focused software solutions.
  • Possess a natural curiosity and desire to challenge yourself and those around you
  • Knowledge of cybersecurity best practices.
  • Active TS clearance with SCI eligibility or prior experience working on government-related projects

Target salary range: $69,986 - $118,154
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.