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Entry Level Data Scientist Machine Learning Jobs in Hesperia, CA

Esri

C/C++ Software Development Engineer II

Redlands, CA · On-site

$125 - $150/hr

... and share spatial data, addressing real-world challenges. As a key member of our Desktop ... machine learning, computer hardware, and the business of software, to enhance your contributions to ...

Esri

C/C++ Software Development Engineer II

Redlands, CA · On-site

$101K - $167K/yr

... and share spatial data, addressing real-world challenges. As a key member of our Desktop ... machine learning, computer hardware, and the business of software, to enhance your contributions to ...

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

As of Sep 7, 2026, the average yearly pay for entry level data scientist machine learning in Hesperia, CA is $122,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,200.00 per year, depending on experience, location, and employer.

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 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 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 Hesperia, CA?

The most popular types of Data Scientist Machine Learning jobs in Hesperia, CA are:

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Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Hesperia, CA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,884 per year, or $59.1 per hour.

Developer I - BI & Analytics

Inland Empire Health Plan

Rancho Cucamonga, CA • Hybrid

$91K/mo

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago

Key responsibilities

  • Create, maintain, and update IEHP enterprise reports and dashboards.

  • Design and develop scalable solutions using AI tools and machine-learning models, and utilize big data computation and storage tools.

  • Contribute to the development of reporting and analytical solutions, assess and prioritize reporting needs, and ensure reporting security and standards.

Inland Empire Health Plan rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

272nd of 315 rated insurance

Job description

What you can expect! 

Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience!

Under the direction of the Supervisor, Bi & Analytics, the Developer I - Bi & Analytics is responsible for creating, maintaining and updating IEHP enterprise reports and dashboard. The position also serves as the technical support for all reporting projects within the Bi & Analytics team. The role is expected to design and develop scalable solutions using AI tools and machine-learning models; utilize big data computation and storage tools to create prototypes and datasets. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or Sciket-learn.

 

Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.


Perks

 

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account – Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance

  1. Model and support enterprise data warehouse, data marts and cubes in the creation of a modern, highly effective enterprise reporting platform at IEHP following industry best practices and patterns.
  2. Contribute to the technical development of reporting and analytical solutions for IEHP business stakeholders that provide critical insight into business performance.
  3. Collaborate with other IEHP departments and data stewards to assess and prioritize needs, and assist with developing strategies, plans, policies and procedures related to providing effective reporting solutions.
  4. Identify, analyze and interpret trends or patterns in complex data sets, draw meaningful business insight and translate them to a self-service report.
  5. Identify and communicate issues and risks to management in a timely manner.
  6. Contribute to reporting security requirements, architecture, design and implementation, including the definition of comprehensive security controls to enforce the IEHP security strategy.
  7. Participate in the development and enforcement of IEHP reporting standards.
  8. Gather, select, compile and analyze health plan data, with emphasis on data maintained with data warehouse.
  9. Perform any other duties as required to ensure Health Plan operations and department business needs are successful.

Education & Requirements 

  • One (1) or more years in analytics, data science and business intelligence
  • Experience in developing reporting using Business Intelligence tools (such as Tableau, Microsoft Power BI, MicroStrategy)
  • Experience in report writing and analysis, including experience working with large data sets that have complex relational designs and with unstructured data sets
  • Experience in database design, query development, table joins and report development and creation
  • Data analysis experience in the areas of medical or health services is preferred
  • Bachelor’s degree in a quantitative field from an accredited institution required

 

Key Qualifications

  • Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required
  • Knowledge of data visualization and Business Intelligence tools is required (such as Tableau, Microsoft Power BI, MicroStrategy). 
  • Strong data analysis, data presentation, spreadsheet, and database capabilities
  • Strong expertise in the Microsoft platform for business intelligence and reporting: Microsoft SQL Server, SSAS, Power BI, SSRS, Access and Excel
  • Strong analysis and critical thinking skills. Excellent interpersonal/ communication skills
  • Proven ability to:
    • Multi-task while maintaining careful attention-to-detail
    • Handle multiple projects, data input, and strong problem-solving capability
    • Be an independent self-starter who is driven to success, takes great pride in accomplishments and works with a sense of urgency to meet deadlines and address competing priorities
    • Be a team player
    • Establish and maintain effective working relationships with others throughout the IEHP organization
  • Schedule may adjust based on business need which may include evenings, holidays, and weekends

Start your journey towards a thriving future with IEHP and apply TODAY!


This position is on a hybrid work schedule. (Mon & Fri - remote, Tues - Thurs onsite in Rancho Cucamonga, CA.)


USD $91,249.60 - USD $120,910.40 /Yr.

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