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Data Science New Grad Jobs in Nevada (NOW HIRING)

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

... data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. • Lead in ...

... data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. * Lead in ...

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

... data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. * Lead in ...

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

... • Bringing new internal and external data sources into the data warehouse • Supporting ... Required : • Bachelor's degree required in Computer Science, Data Science, Engineering ...

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

... data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. * Lead in ...

... new tools, technologies, and methodologies. * Ability to stay updated with industry trends and best practices in data analytics. Education/Experience * Bachelor's degree in data science, Economics ...

... new tools, technologies, and methodologies. * Ability to stay updated with industry trends and best practices in data analytics. Education/Experience * Bachelor's degree in data science, Economics ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

The Senior Data Engineer will lead large-scale data initiatives, including onboarding new data ... Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems ...

Showing results 21-40

Data Science New Grad information

What are Data Science New Grad roles?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a Data Science New Grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science New Grad, and why are they important?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
Infographic showing various Data Science New Grad job openings in Nevada as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

AMH

Las Vegas, NV • On-site

$101K - $137K/yr

Full-time

Posted 5 days ago


Job description

Job Summary:
AMH is one of the leading single-family rental companies and homebuilders in the country, recognized as a top employer. The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools for efficient processing and analysis of large data sets, while collaborating with business teams to enhance data accessibility and decision-making.
Responsibilities:
• Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API’s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.
• Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.
• Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
• Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).
Qualifications:
Required:
• Bachelor’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.
• Minimum of eight (8) years of experience as a data engineer with full-stack capabilities
• Minimum of ten (10) years of Experience in programming
• Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.
• Strong SQL Knowledge
• Proficiency in Python and experience with CI/CD practices
• Strong background in IAAS platforms and infrastructure
• Hands-on experience with Databricks, Spark, Fabric, or similar technologies
• Experience in Agile methodologies
• Hands-on experience in the design and development of data pipelines and data products
• Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.
• Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
• Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.
• Extensive experience in designing data applications in a cloud environment.
• Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.
• Extensive experience in Data Architecture and data modeling
• Expert in data analysis and data quality frameworks.
• Knowledgeable with BI tools such as Power BI and Tableau.
Preferred:
• Master’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.
• Experience in ML and ML Pipeline a plus
• Experience in real-time integration, developing intelligent apps and data products.
Company:
At AMH, we’re redefining what it means to make a home yours. And we’re doing it with care. Founded in 2011, the company is headquartered in Agoura Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

AMH logo

About AMH

Sourced by ZipRecruiter

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

Las Vegas, NV, US

Year founded

2012