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No Experience Entry Level Data Science Jobs in Midvale, UT

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and ... Experience with cloud-based data platforms; familiarity with Databricks or similar tools (e.g ...

They are seeking an experienced Data Scientist to solve healthcare-related problems using data-driven methods and collaborate with various teams to enhance machine learning and predictive modeling ...

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Top reps: $60k-$120k+ About the Role We're expanding fast in Salt Lake City and hiring Entry Level ... no experience required. Perfect for competitive, energetic people. What You'll Do * Walk SLC ...

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... No Experience Needed If you're looking for a high-income potential, entry-level sales opportunity , apply now and start your career with Marketing Concepts.

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... No Experience Needed If you're looking for a high-income potential, entry-level sales opportunity , apply now and start your career with Marketing Concepts.

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... No Experience Needed If you're looking for a high-income potential, entry-level sales opportunity , apply now and start your career with Marketing Concepts.

Recommended Experience Entry-level position into Business Analysis functional domain. May have prior experience as a Programmer and/or Service Delivery Engineer within a technical delivery/support ...

Collaborate with engineering, product, and data science teams to understand requirements ... Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ...

Collaborate with engineering, product, and data science teams to understand requirements ... Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ...

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No Experience Entry Level Data Science information

See Midvale, UT salary details

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How much do no experience entry level data science jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for no experience entry level data science in Midvale, UT is $17.97, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $20.19 per hour, depending on experience, location, and employer.

What are common challenges faced by individuals starting in entry-level data science roles with no prior experience?

Individuals beginning in entry-level data science positions without prior experience often face challenges such as getting up to speed with real-world datasets, learning to use industry-standard tools (like Python, SQL, or Tableau), and understanding how to translate business problems into data-driven solutions. Adapting to collaborative work environments, where projects often require teamwork with analysts, engineers, and business stakeholders, can also be a learning curve. However, most organizations provide mentorship and training opportunities to help new hires develop these skills quickly and grow within the team.

What are the key skills and qualifications needed to thrive as a no experience entry level data scientist?

To thrive as a No Experience Entry Level Data Scientist, you need a solid understanding of statistics, basic programming (often Python or R), and foundational knowledge in data analysis, typically supported by a relevant degree or coursework. Familiarity with tools like Excel, Jupyter Notebook, and introductory machine learning libraries such as scikit-learn or pandas is commonly expected. Curiosity, problem-solving skills, and a willingness to learn quickly help candidates stand out in this fast-evolving field. These abilities are crucial for analyzing data effectively, drawing meaningful insights, and adapting to new technologies and challenges in data science roles.

What is a no experience entry level data science job?

No Experience Entry Level Data Science jobs are positions designed for individuals who are new to the field of data science and may not have any prior professional experience. These roles typically focus on candidates with foundational knowledge of data analysis, statistics, and basic programming skills, often gained through coursework, bootcamps, or self-study. Employers for these positions generally provide training and mentorship, allowing new hires to learn practical data science skills on the job. Such positions are a great way for beginners to gain hands-on experience and start building a career in data science.

What are popular job titles related to No Experience Entry Level Data Science jobs in Midvale, UT?

For No Experience Entry Level Data Science jobs in Midvale, UT, the most frequently searched job titles are:

What job categories do people searching No Experience Entry Level Data Science jobs in Midvale, UT look for?

The top searched job categories for No Experience Entry Level Data Science jobs in Midvale, UT are:

What cities near Midvale, UT are hiring for No Experience Entry Level Data Science jobs?

Cities near Midvale, UT with the most No Experience Entry Level Data Science job openings:

Infographic showing various No Experience Entry Level Data Science job openings in Midvale, UT as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,375 per year, or $18 per hour.

Operational Data Scientist

Kiongroup

Salt Lake City, UT โ€ข On-site

Full-time

Posted 5 days ago


Job description

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and analytics capability at an exciting time as this is an opportunity to help shape a modern analytics practice within an established enterprise. You will work at the intersection of advanced analytics, machine learning, and business problem-solving, turning complex datasets into actionable insights that directly influence strategy and performance.
You will partner closely with business stakeholders across functions to understand their challenges, design analytical solutions, and communicate findings in ways that drive real outcomes. This is a high-impact, hands-on role suited for someone who is as comfortable building and deploying models as they are presenting insights to non-technical audiences.We offer:

Key Responsibilities

  • Develop, validate, and deploy machine learning and statistical models to support operational decision-making

  • Collaborate with business partners to frame problems, identify data needs, and translate analytical outputs into actionable recommendations

  • Work within a modern cloud-based data platform environment (including Databricks) to access, transform, and analyze data at scale

  • Contribute to the development of repeatable analytical frameworks, pipelines, and best practices as the team matures

  • Ensure data quality and discoverability across the analytics environment

  • Communicate complex findings clearly to both technical peers and non-technical stakeholders

  • Help build a data-driven culture by demonstrating the value of analytics through practical, high-visibility work

Tasks and Qualifications:

Skills & Capabilities

  • Proficiency in Python and/or R, with strong SQL skills for data access and manipulation

  • Demonstrated experience building and deploying ML models (regression, classification, clustering, forecasting)

  • Experience with cloud-based data platforms; familiarity with Databricks or similar tools (e.g., Snowflake, Azure ML) is a plus

  • Comfort working with large-scale distributed data in a cloud environment (Azure, AWS, or GCP)

  • Strong communication skills with the ability to translate analytical work into business impact

  • A self-starter mindset that is comfortable with some ambiguity and energized by the chance to build something meaningful

  • A collaborative, intellectually curious approach with a bias toward practical application over theoretical elegance