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Entry Level Data Scientist Jobs (NOW HIRING)

Tech Consulting

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Data Scientist

Tampa, FL · On-site

$35 - $42/hr

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions. Entry-Level Data ...

DeFiner Inc

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Fintrx

Data Scientist

Boston, MA · On-site

About the role We're seeking an entry level Data Scientist to help support and drive FINTRX's rapidly growing Data, Research and Product organization. In this role you will compile, analyze, and ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Revature

Entry Level Data Engineer

Arizona City, AZ

$115.30K - $138.40K/yr

We are hiring candidates with a background in Computer Science related for an Entry-Level Data Engineer . This is an excellent opportunity to launch your career in the tech industry. Revature has ...

GainAm

Entry Level Data Scientist job

Hicksville, NY · On-site

$70K/yr

... scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems Assess project requirements and develop data ...

DataAnnotation

Data Scientist

Manhattan, NY · Remote

$40/hr

Seniority level Entry level Employment type Full-time Job function Engineering and Information ... Data Scientist jobs in Idaho, United States. Boise, ID $140,000.00 - $200,000.00 3 weeks ago #J ...

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Entry Level Data Scientist information

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$46K

$165K

$243.5K

How much do entry level data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What Does an Entry Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

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

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

How to get a data science job with no experience?

Entry level data scientist roles often require strong foundational skills in programming (Python or R), statistics, and data manipulation. Gaining experience through online courses, personal projects, internships, or certifications like those from Coursera or edX can improve your chances; building a portfolio with real-world datasets is also beneficial.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
What cities are hiring for Entry Level Data Scientist jobs? Cities with the most Entry Level Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Entry Level Data Scientist jobs? States with the most job openings for Entry Level Data Scientist jobs include:
What job categories do people searching Entry Level Data Scientist jobs look for? The top searched job categories for Entry Level Data Scientist jobs are:
Entry Level Data Scientist jobs near you
Infographic showing various Entry Level Data Scientist job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, and 98% Full Time. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Tech Consulting

Tampa, FL • On-site

$35 - $42/hr

Full-time

Medical, Dental, Vision, PTO

Posted 22 days ago

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Job description

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions.

Entry-Level Data Scientist – Job Description

Role Overview

Full-time

Training and deployment.

Traing will take in our HQ, which is in Atlanta, GA

Key Responsibilities

Collect, clean, and preprocess structured and unstructured data

Perform exploratory data analysis (EDA) to identify trends and patterns

Build and evaluate machine learning models

Develop data visualizations and dashboards

Work with cross-functional teams (product, engineering, business)

Communicate insights through reports and presentations

Optimize models for performance and scalability

Required Skills & Qualifications

Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field

Strong knowledge of Python (Pandas, NumPy, Matplotlib, Seaborn)

Understanding of statistics and probability

Familiarity with machine learning algorithms

Basic knowledge of SQL

Problem-solving and analytical thinking

Preferred Qualifications (Nice to Have)

Internship or project experience in data science

Experience with libraries like Scikit-learn, TensorFlow, or PyTorch

Knowledge of data visualization tools (Tableau, Power BI)

Basic understanding of cloud platforms (AWS, Azure, GCP)