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Python Data Scientist Jobs in Nevada (NOW HIRING)

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Reno, NV · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Henderson, NV · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Las Vegas, NV · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Python/R developer - Remote

Reno, NV · On-site

$115K - $145K/yr

For data science/machine learning positions required skills include a bachelors degree or masters ... AI, LLM, python, computer vision, data visualization tools excellent written and verbal ...

Data Architect

Las Vegas, NV · On-site

$61.25 - $78.75/hr

Collaborate with data engineers, data scientists, and business analysts to optimize data ... Knowledge of scripting languages (e.g., Python, Bash) for automation and data manipulation.

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

Strong Python scripting and SQL (daily, hands-on use) * Apache Spark for cloud data loading and ... Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems ...

Sr Data Engineer

Las Vegas, NV · On-site

$97K - $131K/yr

Strong Python scripting and SQL (daily, hands-on use) * Apache Spark for cloud data loading and ... Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems ...

Proficiency in data analysis tools and software (SQL, Python, R, Power BI) * Ability to present ... Bachelor's degree in data science, Economics, or a related field. * 1+ years of experience in data ...

Proficiency in data analysis tools and software (SQL, Python, R, Power BI) * Ability to present ... Bachelor's degree in data science, Economics, or a related field. * 1+ years of experience in data ...

Proficiency in data analysis tools and software (SQL, Python, R, Power BI) * Ability to present ... Bachelor's degree in data science, Economics, or a related field. * 1+ years of 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.
Data Scientist II - Big Data R&D, Identity Graph & KYC

Data Scientist II - Big Data R&D, Identity Graph & KYC

Socure

Carson City, NV

Full-time

Posted 4 days ago


Job description

Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About the Role

The Big Data R&D team is responsible for building the core identity graph and entity-resolution capabilities that power Socure’s KYC and compliance products. In this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products. You will work closely with senior data scientists and engineers while developing your skills in large-scale ML, distributed systems, and graph analytics.

What You\'ll Do
  • Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms to analyze very large datasets for identity verification and anomaly detection.

  • Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure’s KYC and compliance solutions.

  • Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3).

  • Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals.

  • Help evaluate new third‑party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance.

  • Implement and maintain SQL and Python/R code for data extraction, transformation, and validation; contribute to code reviews and basic testing.

  • Provide analytical support to compliance and regulatory product teams, including ad hoc investigations, simple dashboards, and data deep dives.

  • Communicate findings in a clear, structured way to peers and cross‑functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade‑offs.

  • Work effectively in a fast‑paced, cross‑functional environment; demonstrate ownership of well-scoped tasks and follow through to completion.

What You Bring
  • Master’s degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science or analytics role, or equivalent practical experience.

  • Proficiency in at least one general-purpose programming language used in data science (Python, or Scala).

  • Solid experience writing and optimizing SQL for large datasets; comfort working in data lake / warehouse environments.

  • Hands‑on experience with Spark or PySpark and common ML libraries (e.g., scikit‑learn, XGBoost, TensorFlow/PyTorch a plus).

  • Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3); Databricks experience is a plus.

  • Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures, clustering, evaluation metrics).

  • Exposure to graph techniques or graph databases (Neo4j, AWS Neptune, GraphFrames) is a strong plus.

  • Bonus: experience with Elasticsearch or DynamoDB; workflow tools such as Airflow for automating data pipelines.

  • Ability to break down loosely defined problems, ask good clarifying questions, and iterate quickly with feedback.

Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

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