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Entry Level Decision Scientist Jobs (NOW HIRING)

Pwc

AI & GenAI Data Scientist-Senior Associate

Denver, CO · On-site

$77K - $202K/yr

... 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 ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Toledo, OH · On-site

$77K - $202K/yr

... 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 ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Portland, OR · On-site

$77K - $202K/yr

... 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 ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Hartford, CT · On-site

$77K - $202K/yr

... 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 ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Dallas, TX · On-site

$77K - $202K/yr

... 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 ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Columbia, SC · On-site

$77K - $202K/yr

... 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 ...

Pwc

AI & GenAI Data Scientist-Senior Associate

New York, NY · On-site

$77K - $202K/yr

... 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:
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 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.
AI & GenAI Data Scientist-Senior Associate

AI & GenAI Data Scientist-Senior Associate

Pwc

Florham Park, NJ • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.
As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Utilizing programming languages such as Python and C++ to build robust data models
- Managing data pipelines and confirming data quality and integration across platforms
- Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
- Conducting complex data analysis to inform strategic decision-making
- Leveraging natural language processing and text analytics for innovative AI applications
- Building and maintaining data infrastructure to support AI-driven automation
- Mentoring junior team members and fostering a collaborative work environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python for complex data analysis and modeling
- Excelling in neural network design and reinforcement learning agents
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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