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Data Scientist Machine Learning Jobs in Nevada (NOW HIRING)

MOREgroup

Manager, Data Science & Services

Reno, NV · On-site

... and machine learning capabilities. * Monitor, troubleshoot, and optimize data pipelines ... Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field ...

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV

$125K - $151K/yr

Develop advanced data products and APIs to enable analytics, reporting, and data science use cases ... Experience with machine learning pipelines and production deployment (preferred) * Hands-on ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Nevada

Data Scientist Machine Learning information

See Nevada salary details

$38.2K

$125K

$200.1K

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

As of Aug 24, 2026, the average yearly pay for data scientist machine learning in Nevada is $124,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $138,500.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Nevada?

The most popular types of Data Scientist Machine Learning jobs in Nevada are:

What are popular job titles related to Data Scientist Machine Learning jobs in Nevada?

For Data Scientist Machine Learning jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Nevada look for?

The top searched job categories for Data Scientist Machine Learning jobs in Nevada are:

Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $124,985 per year, or $60.1 per hour.

Manager, Data Science & Services

MOREgroup

Henderson, NV • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

The Meaning of More
MOREgroup is a family of architecture, design, and engineering brands that serve civic, education, and healthcare practice areas. The facilities we bring to life are places where communities are cared for, educated, protected, and connected. We are proud to contribute to a strong social infrastructure where generations thrive.
Our beliefs are rooted in the concept of more. We believe the best outcomes happen when we are more connected to the work we do and to the people we serve. For us, more is about going beyond expectation to find meaningful connections and experiences that create greater impact for communities. It is about the power to innovate and the passion to serve. What we do matters, but how we do it matters more.
Some of the things you can expect working at MOREgroup�
  • Contributing to a passionate and energetic team within a growing company.
  • Training and professional development to support career growth with exposure to a variety of areas and industries.
  • MORE opportunities to impact the communities we collectively serve.

POSITION SUMMARY
We are seeking a skilled and motivated data professional with a strong background in data science, data engineering, data integration, and data warehousing. This role will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions that enable data-driven decision-making across the organization. The ideal candidate brings hands-on experience with modern cloud data platforms and integration tools and is comfortable working across the full data lifecycle�from ingestion and transformation to analytics and optimization.
RESPONSIBILITES
  • Design, develop, and maintain scalable data pipelines and architectures that support business reporting, analytics, and operational needs.
  • Build and optimize data warehouses and analytical data models to enable accurate, accessible, and actionable insights.
  • Integrate data from internal and external sources using APIs, flat files, database connections, and modern ETL/ELT tools and methodologies.
  • Partner with business stakeholders, analysts, and technology teams to understand data needs and translate requirements into effective technical solutions.
  • Evaluate and recommend business intelligence, analytics, and data solutions that align with organizational needs and long-term technology strategy.
  • Ensure data is accurate, consistent, secure, reliable, and performant across platforms and systems.
  • Develop and maintain data solutions that support reporting, business intelligence, data science, and advanced analytics initiatives.
  • Build and maintain a hybrid data and analytics environment that supports immediate business needs while advancing the organization's adoption of modern AI and machine learning capabilities.
  • Monitor, troubleshoot, and optimize data pipelines, integrations, and system performance to ensure reliable data delivery.
  • Apply sound technical judgment when selecting data integration approaches, balancing speed to delivery, scalability, maintainability, and long-term modernization.
  • Establish and maintain data architecture, pipeline, integration, and development standards and documentation.
  • Lead and manage offshore teams of developers, analysts, engineers, and administrators to support data and analytics initiatives.
  • Oversee data and analytics projects from solution design and development through implementation and delivery.
  • Define and execute an operational strategy that effectively supports MOREgroup's diverse data audiences, including business users, technology and digital teams, shadow technology teams, and external partners.
  • Identify opportunities to improve data processes, reduce reliance on shadow technology solutions, and create more consistent and scalable enterprise data capabilities.

QUALIFICATIONS & SKILLS
  • Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field preferred, with 3+ years of professional experience in data engineering, data integration, data science, or data warehousing.
  • Advanced experience with modern data platform, such as Snowflake, Databricks, Amazon Redshift, or Microsoft Azure Synapse Analytics.
  • Strong experience with data integration and ETL/ELT tools, such as Informatica, Boomi, Talend, Amazon Glue, Microsoft Fabric, or SSIS.
  • Proficiency in programming language commonly used for data and analytics, including Python, R, Julia, Scala, or SAS.
  • Strong SQL skills and experience working with large, complex datasets and relational databases, including Oracle, Microsoft SQL Server, MariaDB, MySQL, or PostgreSQL.
  • Experience with cloud-based data ecosystems, modern data architectures, data modeling, dimensional modeling, and analytics best practices.
  • Demonstrated experience leading and coordinating offshore data teams, including data engineers, analysts, and administrators across multiple time zones.
  • Strong analytical and problem-solving skills, with the ability to manage projects independently while collaborating effectively across teams.
  • Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable information for non-technical stakeholders.

BENEFITS
This role offers competitive compensation and is eligible for participation in our comprehensive benefits programs including:
  • Medical, Dental, and Vision Insurance
  • 401(k) plan with company match
  • Life insurance, long-term and short-term disability
  • Employee Assistance Program
  • Paid time off & paid vacation

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