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Entry Level Python Data Science Jobs in Houston, TX

Automate recurring reporting tasks and data workflows using Python. * Ensure data quality ... Bachelor's degree in Data Science, Information Systems, Statistics, Engineering, Computer Science ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field ... Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.

Data Scientist

The Woodlands, TX · On-site

$111K - $112K/yr

Data Scientist The Woodlands, TX, United States req29449 What you will enjoy doing* (DUTIES ... Working with programming tools including Python or C# to build toolsfor various needs such as ...

Collaborate with engineering, product, and data science teams to understand requirements ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

New

Knowledge of the scientific Python stack: * scikit-learn * scipy * statsmodels * Interest in UX and user-focused design * Experience in large-scale data analysis or predictive modeling environments ...

Bachelor's degree in Engineering, Data Science, Computer Science, Mathematics, Statistics, or a ... SQL, Python, R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like ...

Bachelor's degree in Engineering, Data Science, Computer Science, Mathematics, Statistics, or a ... SQL, Python, R, Excel, Alteryx, KNIME, etc along with experience in visualization platforms like ...

Azure OpenAI / AI Cloud Engineer

Houston, TX · On-site

$50.25 - $67.25/hr

Knowledge of Python, REST APIs, and Azure DevOps Preferred Certifications * Azure AI Engineer Associate (AI-102) * Azure Solutions Architect Expert (AZ-305) * Azure Data Scientist Associate (DP-100)

... in entry-level or laboratory support positions. * Perform other duties and special projects ... Biochemistry, or a related science field. * Minimum 2 years' experience in a regulated ...

Leverage multiple programming languages (SQL, R, Python, etc.) to query, connect, and validate data ... Bachelor's degree in data science, Business Analytics, Computer Science, Engineering, Information ...

Knowledge of scientific Python libraries such as Scikit-learn, SciPy, and Statsmodels. * Experience working with large-scale data analytics environments. * Interest in user experience (UX) and user ...

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Design, develop, and maintain Oracle, MemSQL, .NET and Python code necessary to execute on end user ... Bachelor's degree in Computer Science or Engineering or Information Technology.  MINIMUM ...

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Entry Level Python Data Science information

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How much do entry level python data science jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for entry level python data science in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

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

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Houston, TX? For Entry Level Python Data Science jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Houston, TX look for? The top searched job categories for Entry Level Python Data Science jobs in Houston, TX are:
What cities near Houston, TX are hiring for Entry Level Python Data Science jobs? Cities near Houston, TX with the most Entry Level Python Data Science job openings:
Infographic showing various Entry Level Python Data Science job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.
Data Analyst

Data Analyst

Par Pacific

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Par Pacific rating

8.0

Company rating: 8.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

20th of 74 rated oil and gas companies


Job description

Data Analyst
Posting Start Date: 4/16/26
Job Location (Short): Houston, TX, USA, 77024
Data Analyst
The Opportunity
  • Data Analyst at a growth-oriented energy company
  • Leverage modern cloud and AI tools to drive data-driven decisions across Supply Trading, Refining, Logistics, Retail, and Finance operations on Google Cloud Platform.
  • Design and implement scalable data models and analytics solutions that deliver actionable insights across the enterprise.
  • Reporting to the Director, Enterprise Data and Applications, you will be responsible for building, maintaining, and governing analytical data solutions that serve operational, commercial, and financial teams across Par Pacific.

Key activities include:
  • Build and maintain data pipelines and analytical models on Google Cloud Platform (GCP), utilizing tools such as BigQuery, DataFusion, DataStream, and Cloud Storage.
  • Utilize data mining techniques and develop data models (dimensional, relational, or semantic) to support scalable and reusable analytics across business domains.
  • Support data integration and analytics from different ERP's (SAP BW/4HANA preferred), ensuring alignment between enterprise data and cloud-based analytical environments.
  • Partner with business leads to fulfill analytic and reporting requests as the domain data resource reference; assist in creating and supporting a self-service style analytics platform among stakeholders.
  • Develop standard or custom reports, queries, or dashboards that access and consolidate information from a variety of data sources and provide ongoing support for data users.
  • Write efficient, complex SQL queries to extract, transform, and analyze large datasets from multiple sources.
  • Support AI initiatives and apply statistical analysis and machine learning techniques to identify trends, forecast outputs, and support predictive initiatives.
  • Automate recurring reporting tasks and data workflows using Python.
  • Ensure data quality, consistency, and governance across all analytical outputs.
  • Present findings and recommendations to both technical and non-technical stakeholders in a clear and compelling manner.
  • Identify opportunities for process improvement and stay current on emerging data and AI tools and best practices.

Note: This description is intended to give you a general overview of the position. Additional responsibilities and opportunities may be identified based on current business needs.
Qualifications
To meet the basic qualifications for this role, you will have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship.
Additional qualifications include:
  • High School Diploma or equivalent required; Bachelor's degree in Data Science, Information Systems, Statistics, Engineering, Computer Science, or a related field preferred
  • Minimum 3 years' of hands-on experience in a data analyst or similar role, preferably within oil & gas, energy, retail, or a related industry, required
  • Experience building dashboards and visualizations in Looker and Power BI required
  • Working knowledge of Google Cloud Platform (GCP), particularly BigQuery, including data modeling and performance tuning, required
  • Proven experience in data modeling - including dimensional modeling (star/snowflake schemas), entity-relationship design, and semantic layer development - required
  • Strong proficiency in SQL for data querying and manipulation required
  • Experience with LookML for Looker dashboard development required
  • Proficiency with Python for data analysis and workflow automation required
  • A proven ability to use data, analytics, and business knowledge to solve business problems, including:
  • Translating complex datasets into clear, actionable narratives for non-technical audiences
  • Identifying trends, anomalies, and opportunities through exploratory analysis
  • Delivering analysis that directly supports operational or financial decision-making
  • Familiarity with supply trading, refining, logistics, retail, or finance data types (e.g., Retail data, SAP extracts, operations feeds) preferred
  • Experience with Apache Airflow or other data orchestration tools preferred
  • Experience with statistical tools and predictive analytics is highly preferred
  • GCP Professional Data Engineer or equivalent certification preferred

About Us
At Par Pacific, we own and operate market-leading energy and infrastructure businesses in logistically complex markets. We have built a team of downstream industry veterans and subject matter experts to lead our organization with an entrepreneurial spirit and a collaborative, problem solving approach. We bring our diverse strengths and motivation to complex markets where we seek out diamonds in the rough. As a nimble, growing organization, we actively pursue new opportunities with corporate financing know-how, respond to local market demands, and adapt to changing external environments.
More Good Reasons to Work for Par Pacific
Unique Culture
There is nothing ordinary about Par Pacific -- a niche player in the energy space. And there's certainly nothing ordinary about Par Pacific employees. We are driven, hardworking, entrepreneurial-minded professionals who love to win. If that describes you, you'll fit right in.
Location, Location, Location
Because Par Pacific operates in some of the most beautiful places throughout the country, our employees get to make these places their home and enrich their lives. The office where you'll work is in the CityCentre in Houston, Texas, located on the west side of Houston near I-10 and the Sam Houston Tollway. It's a vibrant area of the city with plenty of places for lunch or to wind down after work.
Opportunistic Growth Strategy
At Par Pacific, we look for operations with strong fundamentals and great employees who can move a business forward. Our management team has deep experience in the energy industry, as well as in leading mergers, acquisitions, and integrations of newly acquired companies.
Focused on the Future
We are an energy company that has recognized the imperative and embraced the opportunity to begin the transition from fossil fuels. We are developing products that help reduce greenhouse gas emissions.
Excellent Compensation and Benefits
In addition to a competitive salary, we offer a strong comprehensive benefits package that includes medical, dental and vision insurance, a robust allotment of paid time off, a 401(k) with company match, retirement savings plans, educational reimbursement, and more. Full-time employees (and their families) are offered medical (with prescription coverage), dental, vision, voluntary critical illness, accident, life/AD&D insurance, Flexible Spending Account and Employee Assistance Program. Employees can purchase company stock at discounted prices through the Employee Stock Purchase Program.
Our Headquarters
Par Pacific Holdings, Inc., based in Houston, Texas, owns, manages and maintains interests in energy and infrastructure businesses. We are a growing energy company focused on renewable and conventional fuels in the Western United States. Par Pacific also owns 46% of Laramie Energy, LLC, a natural gas production company with operations and assets concentrated in Western Colorado. Our common stock is publicly traded on the NYSE under the trading symbol "PARR".
Our Refineries and Logistics Operations
We own and operate refineries in Hawaii, Montana, Washington, and Wyoming, with total operating throughput capacity of over 219 Mbpd. Par Pacific owns and operates one of the largest energy networks in Hawaii with 94,000 bpd of operating refining capacity, a logistics system supplying the major islands of the state and 90 retail locations. In the Pacific Northwest and the Rockies, Par Pacific owns and operates 124,000 bpd of combined refining capacity and related multimodal logistics systems.
Our Retail Operations
We own and operate over 90 retail locations in Hawaii under the Hele and 76 brands and over 30 retail locations in Washington and Idaho under the nomnom brand.
Par Pacific Is an Equal Opportunity Employer
Par Pacific prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status,genetic information or any other status protected by applicable law.
Note: Par Pacific will not accept calls or unsolicited resumes from third-party recruiters. All candidates are required to apply through this web posting.

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