LAB TECH 1 (Seasonal)
$16.50 - $22/hr
Perform entry-level testing across all areas of the laboratory and operate standard instrumentation ... Education in a science and/or agriculturally related area of study is preferred. * Experience:
LAB TECH 1 (Seasonal)
$16.50 - $22/hr
Perform entry-level testing across all areas of the laboratory and operate standard instrumentation ... Education in a science and/or agriculturally related area of study is preferred. * Experience:
LAB TECHNICIAN 1
$16.50 - $22/hr
Perform entry-level testing across all areas of the laboratory and operate standard instrumentation ... Education in a science and/or agriculturally related area of study is preferred. * Experience:
LAB TECHNICIAN 1
$16.50 - $22/hr
Perform entry-level testing across all areas of the laboratory and operate standard instrumentation ... Education in a science and/or agriculturally related area of study is preferred. * Experience:
... Salaried | Entry-Level Leadership Development About the Opportunity This is a future opportunity ... Learn departmental planning, budgeting, and data-driven decision-making to improve operational ...
... Salaried | Entry-Level Leadership Development About the Opportunity This is a future opportunity ... Learn departmental planning, budgeting, and data-driven decision-making to improve operational ...
Entry Level Data Science information
See Amarillo, TX salary details
$9.67 - $11.03
1% of jobs
$11.03 - $12.39
3% of jobs
$12.39 - $13.75
11% of jobs
$14.62 is the 25th percentile. Wages below this are outliers.
$13.75 - $15.11
15% of jobs
$15.11 - $16.47
19% of jobs
The median wage is $16.56 / hr.
$16.47 - $17.83
16% of jobs
$19.06 is the 75th percentile. Wages above this are outliers.
$17.83 - $19.18
11% of jobs
$19.18 - $20.54
9% of jobs
$20.54 - $21.90
7% of jobs
$21.90 - $23.26
4% of jobs
$23.26 - $24.62
3% of jobs
$9
$17
$24
How much do entry level data science jobs pay per hour?
As of Aug 31, 2026, the average hourly pay for entry level data science in Amarillo, TX is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.57 per hour, depending on experience, location, and employer.
What is an entry level data scientist?
Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.
What types of projects or tasks can I expect to work on as an entry level data scientist?
As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.
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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.
What is the difference between Entry Level Data Science vs Data Analyst?
| Aspect | Entry Level Data Science | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in CS, Statistics, or related field; some certifications | Bachelor's in Business, Statistics, or related field; certifications optional |
| Work Environment | Tech companies, startups, research labs | Business, marketing, finance sectors |
| Employer & Industry Usage | Data-driven roles in tech and research | Business insights, reporting, and visualization |
| Common Search & Comparison | Yes | Yes |
Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.
Are there entry-level data science roles?
Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.
How to start a career in entry level data science with no experience?
To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.
What are the most commonly searched types of Data Science jobs in Amarillo, TX?
The most popular types of Data Science jobs in Amarillo, TX are:
What job categories do people searching Entry Level Data Science jobs in Amarillo, TX look for?
The top searched job categories for Entry Level Data Science jobs in Amarillo, TX are:
What cities near Amarillo, TX are hiring for Entry Level Data Science jobs?
Cities near Amarillo, TX with the most Entry Level Data Science job openings:
Job description
Job Title:
Lab Technician 1 (Seasonal)
Department:
Laboratory
Reports To:
Lab Supervisor
Report Location:
Amarillo, TX
FLSA Status:
Non-Exempt
COMPANY OVERVIEW & ROLE SUMMARY
Since 1975, ServiTech has provided industry-leading agronomic services to help growers measure fertility, tailor inputs, and optimize yields. The Lab Technician 1 plays a vital role in our mission by maintaining procedural integrity, ensuring high-quality, reliable results, and supporting the overall efficiency of the lab. The analytical results produced directly affect our customers' bottom line and are critical to the safety of natural resources, the environment, and animal life.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Perform entry-level testing across all areas of the laboratory and operate standard instrumentation.
- Responsible for routine maintenance and housekeeping duties as directed to support overall lab efficiency.
- Collaborate closely with team members and Laboratory Management to ensure successful operational workflow and customer success.
- Continuously develop new skills to contribute effectively to the Laboratory team.
- Maintain professionalism by prioritizing safety, quality assurance, efficiency, and proactive troubleshooting.
- Perform other duties as assigned by management.
DISCLAIMER
This job description indicates the general nature and level of work expected and is not designed to cover every activity or responsibility required. It does not alter “employment-at-will” status and is not a guarantee of employment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
QUALIFICATIONS & EDUCATION
- Education: High school diploma or general education degree (GED); or six months to one-year related experience and/or training; or equivalent combination of education and experience. Education in a science and/or agriculturally related area of study is preferred.
- Experience: Previous agricultural and laboratory operations experience is preferred.
- Licenses: A valid driver’s license with a safe driving record is required.
- Supervision: This position does not have supervisory responsibilities.
KNOWLEDGE, SKILLS, & ABILITIES
- Computer Skills: Proficient in performing tasks using Windows-based software and the Internet, alongside proficiency in Google Workspace.
- Analytical Skills: The ability to ethically analyze data, report results with integrity, monitor work for accuracy, and execute repetitive motions.
- Mathematical Skills: Ability to add, subtract, multiply, and divide in all units of measure. Ability to calculate proportions, percentages, and work with statistical inference.
- Language & Communication: Strong written and verbal communication skills. Ability to read technical procedures, write reports, and effectively present information to managers, clients, or the public.
- Reasoning & Problem Solving: Critical thinking skills with the ability to assess workplace hazards quickly, troubleshoot standard problems, and resolve customer concerns promptly.
- Professionalism: Prompt and regular attendance, flexibility to manage change, and the ability to meet deadlines.
WORK ENVIRONMENT & PHYSICAL DEMANDS
- Physical Activity: Regularly required to sit, stand, walk, or operate a computer for long periods. Requires frequent lifting or moving of up to 30 pounds, and occasionally up to 50 pounds. Frequently required to climb stairs, balance, stoop, kneel, crouch, or crawl.
- Vision: Requires close, distance, color, and peripheral vision, plus depth perception and the ability to adjust focus.
- Working Conditions: Exposure to varying noise levels, vibrations, all weather conditions, hazardous/caustic chemicals, and various odors including manure. Strict adherence to all safety policies and programs is mandatory.
- Schedule & Travel: Hours fluctuate based on peak seasons, requiring long days, weeks, and months as needed. Must be willing to work weekends and holidays as needed. Travel is required as needed.