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Entry Level Data Scientist Jobs in Rosenberg, TX

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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Entry Level Data Scientist information

See Rosenberg, TX salary details

$41K

$147.2K

$217.3K

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

As of Aug 26, 2026, the average yearly pay for entry level data scientist in Rosenberg, TX is $147,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $151,700.00 per year, depending on experience, location, and employer.

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.

Can an entry level data scientist be entry-level?

Yes, an entry-level data scientist position is designed for individuals starting their careers in data science, often requiring minimal professional experience and foundational skills in programming, statistics, and data analysis tools. These roles typically focus on learning and developing skills such as Python, R, SQL, and machine learning basics under supervision.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve job prospects.
More about Entry Level Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Rosenberg, TX?

The most popular types of Data Scientist jobs in Rosenberg, TX are:

What are popular job titles related to Entry Level Data Scientist jobs in Rosenberg, TX?

For Entry Level Data Scientist jobs in Rosenberg, TX, the most frequently searched job titles are:

What cities near Rosenberg, TX are hiring for Entry Level Data Scientist jobs?

Cities near Rosenberg, TX with the most Entry Level Data Scientist job openings:

Infographic showing various Entry Level Data Scientist job openings in Rosenberg, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $147,243 per year, or $70.8 per hour.

Data Analyst / Data Scientist (2-4 years)

Hudson IT

Houston, TX โ€ข On-site

Other

This job post hasย expired 6 days ago.ย Applications are no longer accepted.


Job description


We are looking for early-career Data Analytics / Data Science professionals who are passionate about working with data and deriving meaningful insights. Candidates with internship experience, academic projects, or personal projects are highly encouraged to apply.
This role is ideal for candidates looking to build a strong foundation in data analytics and data science while working on real-world business problems.
Experience: 6 Months - 2/3/4 Years
Employment Type: Full Time W2 Only
Location: Open to Relocation Anywhere in the United States
Key Responsibilities:
  • Collect, clean, and analyze structured and unstructured data
  • Develop reports, dashboards, and visualizations to support decision-making
  • Perform exploratory data analysis (EDA) and identify trends and patterns
  • Assist in building predictive models and basic machine learning solutions
  • Work closely with business and technical teams to understand data requirements
  • Document findings and present insights to stakeholders

Required Skills:
  • Strong understanding of SQL
  • Proficiency in Python or R
  • Knowledge of Excel and data manipulation techniques
  • Familiarity with data visualization tools (Tableau, Power BI, or similar)
  • Basic understanding of statistics and data modeling concepts

Nice to Have:
  • Exposure to Machine Learning concepts
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform - basic level)
  • Hands-on experience through internships, academic projects, or personal projects
  • Knowledge of Pandas, NumPy, Matplotlib/Seaborn, or Scikit-learn

Eligibility Criteria:
  • 6 months to 2 years of experience (internships & projects count)
  • Must be willing to relocate anywhere in the United States
  • Open to early-career professionals and Entry Level Candidates with strong project work