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Python Data Scientist Jobs in Nevada (NOW HIRING)

Senior Data Analyst

Las Vegas, NV

$82K - $103K/yr

Our team of engineers, marketers, artists, writers, data scientists, producers, problem solvers ... Strong working knowledge of R or Python languages. Have technical experience in building reporting ...

Senior Data Analyst

Las Vegas, NV · On-site

$82K - $103K/yr

Our team of engineers, marketers, artists, writers, data scientists, producers, problem solvers ... Python languages. • Have technical experience in building reporting data models and be able to ...

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

Requirements: * Bachelor's degree in computer science, information systems, data science ... Proficiency in Python and experience with CI/CD practices * Strong background in IAAS platforms and ...

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

Bachelor's degree in computer science, information systems, data science, management information ... Proficiency in Python and experience with CI/CD practices * Strong background in IAAS platforms and ...

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

Requirements: * Bachelor's degree in computer science, information systems, data science ... Proficiency in Python and experience with CI/CD practices * Strong background in IAAS platforms and ...

Project - Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

Responsibilities : • Build and enhance data pipelines on AWS using Python to ingest, transform ... Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent ...

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Successful Candidate's Attributes: o Bachelor's degree in Computer Science, Information Technology ... Python and Microsoft Excel VBA programming skills, with the ability to apply these tools for data ...

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Successful Candidate's Attributes: o Bachelor's degree in Computer Science, Information Technology ... Python and Microsoft Excel VBA programming skills, with the ability to apply these tools for data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ...

Project - Data Engineer

Las Vegas, NV

$109K - $131K/yr

Build and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to ... Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ...

Job Summary -- Essential Functions/Duties A Computer Scientist III provides software and systems ... Data Structures Experience with scripting languages (Python/JavaScript) Familiarity with the ...

Job Summary -- Essential Functions/Duties A Computer Scientist III provides software and systems ... PLSQL/MySQL), and Data Structures * Experience with scripting languages (Python/JavaScript)

Python/Java developers * Data analysts/data scientists * Machine learning engineers Who Should Apply * Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career ...

Lead Data Engineer

Las Vegas, NV · On-site

$110K - $132K/yr

... Python and PySpark to ensure the efficient and reliable delivery of data. * Design and implement ... Bachelor's degree in Computer Science, Engineering, or a related field * experience in data ...

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Python Data Scientist information

See Nevada salary details

$38.2K

$125K

$200.1K

How much do python data scientist jobs pay per year?

As of Jun 26, 2026, the average yearly pay for python data scientist 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 does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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.

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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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 Nevada? For Python Data Scientist jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Nevada look for? The top searched job categories for Python Data Scientist jobs in Nevada are:
What cities in Nevada are hiring for Python Data Scientist jobs? Cities in Nevada with the most Python Data Scientist job openings:
Infographic showing various Python Data Scientist job openings in Nevada as of June 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $124,985 per year, or $60.1 per hour.

$82K - $103K/yr

Other

Posted 5 days ago


Job description

Who We Are

Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios are responsible for developing 2K's portfolio of world-class games across multiple platforms. Include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, and HB Studios. Our portfolio of titles is expanding due to our global strategic plan, building, and acquiring exciting studios whose content continues to inspire millions of players around the world! 2K publishes titles in today's most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, problem solvers, and doers, are the professional publishing stewards of our growing library of critically acclaimed franchises such as NBA 2K, BioShock, Borderlands, Mafia, Sid Meier's Civilization, Tiny Tina's Wonderlands, WWE 2K, and XCOM.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We are dedicated to diversity and inclusion and want our community of candidates to reflect this commitment. We encourage all qualified applicants to explore our global positions. 2K is headquartered in Novato, California, and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).

Position Summary

With the growth of our video gaming titles, we need to examine how Testing and Deployment Coordination can impact game development more. We are looking for a passionate Senior Analyst to work in our growing data insights group. The ideal candidate is one that has a passion for developing stories out of data that empowers our business leaders to reach well-grounded conclusions. The role will help guide and grow our team as we blend project data, test analytics, and game data together to tell those stories. 

Primary Responsibilities

      Analyze data from multiple domains to understand data sources and develop metrics, documentation, and reporting to enable improvements across our data repositories, data definitions, data integrity and data quality.

      Acts as a lead on routine projects, being able to estimate, break down work items and outline risks to project work across the Data Analytics team.

      Build and Improve upon our reporting infrastructure through creating and improving robust data models that can be the basis for our data reporting and dashboard development.

      Establish standard methodology and best practices in our pipelines, reports and dashboards used by Quality Assurance and Release Management 

      Drive strong reporting standards with our team's technical and non-technical partners across 2K.

      Partner with our stakeholders and peers across the company on how we use their data to inform Quality Assurance and Release Management decisions.

Required Qualifications, Knowledge, and Job-Related Skills

      Educational background in Business Analytics, Mathematics, Statistics, Economics, Computer Science, Data Science, Engineering (or in another quantitative subject area).

      4-6+ years of professional analytics experience performing data analysis and managing data quality.

      Advanced SQL (any variant) - proficient at writing code efficiently and easy to read and follow, with experience working in a professional environment.

      Strong working knowledge of R or Python languages.

      Have technical experience in building reporting data models and be able to establish standard methodologies around their design and maintenance.

      Experience creating visual reporting using BI tools (Tableau experience strongly preferred).

Core Competencies

      Consistent record of delivering solutions focused on understanding how the data impacts the business, the ability to resolve best methodologies, and improves team members ability to deliver finding and stories.

      Strong data-storytelling and presentation skills, demonstrating the understanding of the business context and can present complex data in a manner to executives, so they can make informed decisions.

      Strong collaborator leadership skills - Skilled at proactively communicating and maintaining follow-up with a variety of different partners.  

      Self-motivated mentality and the ability to work independently and on numerous projects at the same time, with urgency of delivery, and mentors team members grow to the same level of skill and increase velocity of work

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee; other tasks and duties may be assigned or reassigned as needed.

 2K is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA) and applicable state and local laws. Employment at 2K is considered at-will, except where prohibited by state legislation. Compensation and job postings may include disclosures required under state pay transparency laws.

 2K is an Equal Opportunity Employer, committed to creating an inclusive work environment free from discrimination based on race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law.