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Entry Level Data Scientist Machine Learning Jobs in Wichita Falls, TX

Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high ... Bachelor's Degree in Engineering, Materials Science or Metallurgy from an accredited institution.

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ...

Recruit, hire, train, and supervise a team of entry-level trainees up to professional level ... learning and development * Create and manage efficient grooming schedules that optimize salon ...

Recruit, hire, train, and supervise a team of entry-level trainees up to professional level ... learning and development * Create and manage efficient grooming schedules that optimize salon ...

Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high ... Knowledge of Six Sigma, statistical analysis, and scientific methods for problem solving. Howmet ...

DISHWASHER

Wichita Falls, TX ยท On-site

$15/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ...

We've fundamentally changed how universities procure, distribute, and manage learning content. We ... data and interactive tools like quizzes that help students actually learn. Here's what makes our ...

We've fundamentally changed how universities procure, distribute, and manage learning content. We ... data and interactive tools like quizzes that help students actually learn. Here's what makes our ...

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Entry Level Data Scientist Machine Learning information

See Wichita Falls, TX salary details

$36.5K

$119.5K

$191.3K

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

As of Aug 7, 2026, the average yearly pay for entry level data scientist machine learning in Wichita Falls, TX is $119,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $132,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Wichita Falls, TX? The most popular types of Data Scientist Machine Learning jobs in Wichita Falls, TX are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Wichita Falls, TX look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Wichita Falls, TX are:
What cities near Wichita Falls, TX are hiring for Entry Level Data Scientist Machine Learning jobs? Cities near Wichita Falls, TX with the most Entry Level Data Scientist Machine Learning job openings:

AI Trainer - Microbiology Expert

micro1 AI

Wichita Falls, TX โ€ข Remote

$70 - $90/hr

Part-time

Posted 10 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelorโ€™s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Masterโ€™s or PhD) in a relevant field.