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Python Data Scientist Jobs in Reno, NV (NOW HIRING)

Intern- Manufacturing Test Engineering

Reno, NV · On-site

$16.75 - $21.75/hr

... Science, or Mechatronics Engineering. * Basic proficiency in at least one programming language (Python, Go, or similar) for automated scripting, test development, and data processing. * Basic ...

Business Analytics Tutor

Reno, NV · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Electrical Engineer

Reno, NV · On-site

$85K - $95K/yr

Experience with scripting and Python for automation, testing, or data analysis. * Proficiency with Microsoft Excel and Word. Education/Experience * Bachelor of Science Degree in Electrical ...

Experience with scripting and Python for automation, testing, or data analysis. * Proficiency with Microsoft Excel and Word. * Bachelor of Science Degree in Electrical Engineering. * Knowledge of ...

Experience with scripting and Python for automation, testing, or data analysis. * Proficiency with Microsoft Excel and Word. Education/Experience * Bachelor of Science Degree in Electrical ...

... Manages data and information in a manner that is consistent with company systems and processes ... Proficiency in Matlab and Python programming is preferred. Must have strong verbal and written ...

... Manages data and information in a manner that is consistent with company systems and processes ... Proficiency in Matlab and Python programming is preferred. Must have strong verbal and written ...

... data Collaborate with art, audio, engineering, and design teams to align math with player ... Python, Java, C#, or C++ Strong analytical thinking and problem-solving ability Ability to ...

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Python Data Scientist information

See Reno, NV salary details

$37.4K

$122.4K

$195.9K

How much do python data scientist jobs pay per year?

As of Jul 9, 2026, the average yearly pay for python data scientist in Reno, NV is $122,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,600.00 per year, depending on experience, location, and employer.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Reno, NV? For Python Data Scientist jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Reno, NV look for? The top searched job categories for Python Data Scientist jobs in Reno, NV are:
Infographic showing various Python Data Scientist job openings in Reno, NV as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,379 per year, or $58.8 per hour.
AI Agent Developer I

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Sierra Nevada Corporation rating

8.6

Company rating: 8.6 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

18th of 61 rated aerospace companies


Job description

The Agent Developer I is an entry-level role designed for earlycareer technologists ready to build the next generation of autonomous software systems. In this position, you will help design, develop, and deploy intelligent agents capable of multi-step reasoning, tool use, and decision-making with minimal human oversight. This role blends software engineering, systems design, and large language model (LLM) orchestration to create agents and multi-agent systems that can autonomously execute tasks, interact with external tools and APIs, and adapt to dynamic, realworld environments. It's an exciting opportunity for candidates passionate about emerging technologies who want to grow their technical skill set and contribute to impactful, mission-driven projects in a collaborative environment.As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • Stay up-to-date with the latest advancements in AI/ML technologies by participating in training, workshops, and team discussions..
  • Develop and implement AI agents and multiagent systems capable of autonomously executing tasks, making contextdriven decisions, and interacting with external tools, APIs, databases, and external services.
  • Architect and orchestrate multistep, multiagent workflows, decomposing highlevel goals into executable tasks and ensuring seamless communication, reliable tool use, and efficient coordination across complex pipelines.
  • Implement logic for LLMdriven decisionmaking, including tool selection, tool chaining, fallback strategies, guardrails, and overall agent resilience.
  • Build and maintain evaluation and observability frameworks to measure agent accuracy, reliability, and efficiency, while continuously monitoring production behavior and improving system robustness.
  • Develop memory, retrieval, and RAG systems using vector databases or knowledge graphs to enhance agent context, reasoning, and longterm performance.
  • Deploy, scale, and manage agentbased solutions on cloud platforms such as AWS, Azure, and GCP.
  • Collaborate with crossfunctional teams-including product, domain experts, engineering, and security-to ensure agent capabilities align with business requirements and operational constraints.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 0-2 years of experience in cloud engineering or a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 4 years of related experience is required.
  • Basic programming skills in Python, C++, C# or Java.
  • Understanding of foundational machine learning concepts and techniques.
  • Strong analytical and problem-solving skills.
  • Proficiency in prompt engineering and context design for reasoning and tool orchestration
  • API and tool integration skills (REST, GraphQL, microservices)Strong analytical and problem-solving skills.

Qualifications We Prefer:

  • Exposure to neural networks, signal processing, or computer vision frameworks.
  • Internship or project-based experience in AI, data science, or software development.
  • Familiarity with version control tools (e.g., Git).
  • Exposure to Agile or DevOps methodologies through coursework or internships.
  • Experience participating in team-based software development projects.
  • Ability to analyze small-to-moderate datasets using standard statistical or ML methods.

Essential Functions:

  • Work on a computer for extended hours performing coding, debugging, and testing.
  • Attend and contribute to team meetings and brainstorming sessions.
  • Travel occasionally to support testing or deployment efforts (up to 10%).

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination.Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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