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

FocusKPI

Marketing Operations Analyst

Carson City, NV · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

FocusKPI

Marketing Operations Analyst

Sparks, NV · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

FocusKPI

Marketing Operations Analyst

Carson City, NV

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

FocusKPI

Marketing Operations Analyst

Sparks, NV

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

Jobtailor

Game Mathematician

Reno, NV · On-site

Develop tools and models to validate game logic and underlying data * Collaborate with art, audio ... Programming experience or familiarity with Python, Java, C#, or C++ * Strong analytical thinking ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Reno, NV

Python Data Scientist information

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$37.4K

$122.4K

$195.9K

How much do python data scientist jobs pay per year?

As of Sep 11, 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.

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.

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 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 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.

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 specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

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:

Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Reno, NV as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $122,379 per year, or $58.8 per hour.

Software Engineer, Data Infrastructure & Acquisition - Reno, NV, USA

Reno, NV • On-site

Clutch Canada
See more jobs at Clutch Canadaexternal

$114K - $137K/yr

Other

Posted 23 days ago

Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high‑quality datasets at petabyte‑scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next‑generation models
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next‑generation consumer and enterprise products
An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field
  • 5+ years of industry experience in software development
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure‑as‑Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large‑scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities
  • Strong communication skills, both written and verbal
What we offer
  • A fast‑growing environment where you can help shape the company and product
  • An entrepreneurial‑minded team that supports risk, intuition, and hustle
  • A hands‑off management approach so you can focus and do your best work
  • An opportunity to make a big impact in a transformative industry
  • Competitive salaries, a friendly and laid‑back atmosphere, and a commitment to building a great asynchronous culture
  • Opportunity to work on a life‑changing product that millions of people use
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more
  • Work in one of the fastest‑growing sectors of tech, the intersection of artificial intelligence and audio
Compensation

The United States base salary range for this full‑time position is $140,000-$200,000 + bonus + equity depending on experience

Speechify is committed to a diverse and inclusive workplace

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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