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

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 ...

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. * 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 ...

... 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 ...

Manages data and information in a manner that is consistent with company systems and processes ... Must possess Master of Science or Engineering in a relevant subject. A Doctorate degree in a ...

Manages data and information in a manner that is consistent with company systems and processes ... Must possess Master of Science or Engineering in a relevant subject. A Doctorate degree in a ...

Manages data and information in a manner that is consistent with company systems and processes ... Must possess Master of Science or Engineering in a relevant subject. A Doctorate degree in a ...

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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 Jun 18, 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 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 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:

Manager - Biotech Valuation & Analytics

RNA Advisors

Reno, NV

Other

Posted 17 days ago


Job description

To Apply

Please submit your cover letter and resume to admin@rnaadvisors.com. Only complete applications sent to this address will be considered.


Position Overview

RNA Advisors, LLC seeks a Manager to lead valuation engagements across the full lifecycle of biotech and pharmaceutical equity—from preclinical-stage private companies through late-stage public enterprises—and to serve as a front-line ambassador for RNA Advisors' hybrid consulting and AI-enabled intelligence platform. You will help clients understand how clinical, regulatory, and commercial phase transitions reshape the risk and value profile of their equity, and you will leverage RNA Advisors' integrated tools to deliver faster, more defensible outcomes.


The ideal candidate combines deep valuation expertise with the ability to articulate the opportunities and advantages of working within a technology-enabled intelligence ecosystem, guiding prospective and existing clients through the transition from traditional advisory relationships to RNA Advisors' platform-powered service model. This role sits at the intersection of technical delivery and client development, and candidates should expect to contribute meaningfully to both.


Key Responsibilities

•       Lead valuation engagements spanning the biotech equity lifecycle, from early-stage venture-backed companies navigating IND filings and proof-of-concept data through late-stage public companies facing commercial launch, lifecycle management, and M&A considerations.

•       Develop and communicate frameworks for understanding how clinical phase transitions, regulatory milestones, and commercialization events drive shifts in equity value, risk profile, and ownership structure.

•       Build and maintain financial models using option-based allocation methods, probability-weighted scenario analyses, discounted cash flow techniques, and comparable benchmarking with defensible assumptions; ensure all deliverables are audit-ready and meet technical, editorial, and visual standards.

•       Serve as a primary client advisor, guiding both prospective and current clients through RNA Advisors' hybrid consulting and technology model—demonstrating how platform capabilities enhance the speed, depth, and rigor of traditional advisory services.

•       Lead client demos, onboarding sessions, and discovery conversations that articulate the value proposition of RNA Advisors' integrated valuation, ownership intelligence, and real-world evidence tools.

•       Conduct competitive and market research across pipelines, clinical trials, pricing, reimbursement, and regulatory pathways using RNA Advisors' AI-enabled intelligence capabilities.

•       Support the transition of existing consulting engagements into platform-enabled workflows, identifying opportunities to embed RNA Advisors' tools into recurring client processes.

•       Contribute to business development through proposals, case studies, and relationship-building, with a focus on communicating how RNA Advisors' model creates differentiated outcomes for clients.

•       Provide structured feedback to the product team on client needs, workflow gaps, and platform usability to inform ongoing product development.

•       Refine methodologies, templates, and benchmarks; codify best practices that integrate platform tools into standard engagement workflows.

•       Mentor and develop junior team members through structured feedback, skills roadmaps, and training on modeling, research, writing, and client communication.


Qualifications

•       5–9+ years of experience in biotech or pharmaceutical valuation, life sciences consulting, corporate strategy, equity research, transaction advisory, or similar roles with exposure to companies across development stages.

•       Strong financial modeling experience, including fluency with option-based allocation frameworks for multi-class equity structures, probability-weighted scenario modeling across clinical and regulatory outcomes, discounted cash flow analysis incorporating risk-adjusted pipeline economics, and comparable company and transaction benchmarking as applied to life sciences equity.

•       Deep familiarity with drug development lifecycles, clinical phase transitions, regulatory milestones, and their impact on equity value and risk.

•       Advanced degree (MBA, MS, PhD) in Finance, Life Sciences, or a related field preferred; undergraduate degree in a quantitative or scientific discipline required.

•       Technical fluency with Excel and PowerPoint; experience with Python, SQL, or data visualization tools (Tableau, Power BI) is a plus.

•       Strong written and verbal communication skills with the ability to translate complex scientific and financial dynamics into clear narratives for C-suite executives, investors, and board members.

•       Demonstrated ability to navigate ambiguity, frame problems, and prioritize high-impact analysis in a fast-paced, entrepreneurial environment.

•       Comfort operating at the intersection of advisory delivery and technology adoption, with a track record of helping clients embrace new tools or workflows.


Preferred Skills

•       Demonstrated ability to communicate the value of technology-enabled services to senior stakeholders, including translating platform capabilities into client-relevant language.

•       Experience with financial databases and clinical/regulatory sources (e.g., Capital IQ, PitchBook, Evaluate Pharma, ClinicalTrials.gov, FDA/EMA documents).

•       Experience with AI tools for research, drafting, data analysis, and quality control.

•       Exposure to cap table management, equity structuring, or venture-backed company dynamics.


Compensation & Benefits

Base salary: $150,000 – $200,000, commensurate with experience. Performance bonus eligibility in addition to base. Full relocation assistance and comprehensive benefits provided.


Work Environment & Culture

At RNA Advisors, LLC, we are building the infrastructure layer for life sciences intelligence. Our team operates with the rigor of professional services and the velocity of a technology company. We believe the future of biotech advisory lies in the integration of deep domain expertise with AI-enabled tools—and we are looking for people who are energized by helping clients experience that future firsthand.

We value intellectual curiosity, collaborative problem-solving, and a commitment to translating complex data into clear, high-impact outcomes.


Location & Travel

Reno/Tahoe, NV. In-office 3–4 days per week; relocation required. Periodic travel to client sites and team meetings as needed. Must be legally eligible to work in the U.S. on a permanent basis without sponsorship.