Data Scientist
Reno, NV · On-site
As a Data Scientist, you will perform in-depth analyses. The results from your projects will facilitate change throughout the organization: from developing more sophisticated underwriting models to ...
Data Scientist
Reno, NV · On-site
As a Data Scientist, you will perform in-depth analyses. The results from your projects will facilitate change throughout the organization: from developing more sophisticated underwriting models to ...
Data Scientist - BI & Analytics Location: Onsite / Hybrid Experience: 2-5 Years Job Summary We are seeking a Data Scientist with strong business intelligence and reporting experience. The candidate ...
Data Scientist - BI & Analytics Location: Onsite / Hybrid Experience: 2-5 Years Job Summary We are seeking a Data Scientist with strong business intelligence and reporting experience. The candidate ...
Data Scientist information
See Reno, NV salary details
$37.4K - $51.8K
2% of jobs
$51.8K - $66.2K
3% of jobs
$66.2K - $80.6K
6% of jobs
$80.6K - $95K
9% of jobs
$99.7K is the 25th percentile. Wages below this are outliers.
$95K - $109.5K
15% of jobs
The median wage is $119.1K / yr.
$109.5K - $123.9K
22% of jobs
$131.8K is the 75th percentile. Wages above this are outliers.
$123.9K - $138.3K
32% of jobs
$138.3K - $152.7K
3% of jobs
$152.7K - $167.1K
4% of jobs
$167.1K - $181.5K
1% of jobs
$181.5K - $195.9K
2% of jobs
$37.4K
$122.4K
$195.9K
How much do data scientist jobs pay per year?
As of Jun 17, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?
To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.
What Do Data Scientists Do?
Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.
Is a data scientist job still in demand?
Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.
What are Data Scientists?
Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.
What does a data scientist do exactly?
A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and communicate findings to stakeholders.
Is 30 too late for data science?
Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is generally not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.
What is the difference between Data Scientist vs Data Analyst?
| Aspect | Data Scientist |
|---|---|
| Required Credentials | Degree in Computer Science, Statistics, or related field; often requires advanced degrees |
| Work Environment | Research and development, predictive modeling, machine learning projects |
| Employer & Industry Usage | Tech companies, finance, healthcare, consulting firms |
| Common Search & Comparison | Often compared due to overlapping skills in data analysis and modeling |
Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.
What jobs does data science do?
Data science involves analyzing large datasets to extract insights, build predictive models, and support decision-making across various industries. Data scientists often work with programming languages like Python or R, utilize machine learning techniques, and communicate findings to stakeholders. They can be employed in fields such as finance, healthcare, marketing, and technology, often requiring strong analytical skills and knowledge of statistical methods.
What are some typical projects Data Scientists work on, and how do they collaborate with other teams?
Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Reno, NV? The most popular types of Data Scientist jobs in Reno, NV are:
What are popular job titles related to Data Scientist jobs in Reno, NV? For Data Scientist jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Reno, NV look for? The top searched job categories for Data Scientist jobs in Reno, NV are:
What cities near Reno, NV are hiring for Data Scientist jobs? Cities near Reno, NV with the most Data Scientist job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 26 days ago
Job description
Why CIG?
At Capital Insurance Group we offer our employees more than just a job. We foster career growth, provide opportunities to give back to our communities, and help you take the next step in your career!
CIG was founded in 1898 by a group of earnest farmers in need of protection and today, we are the leading West Coast Property & Casualty insurer. CIG is certified as a Great Place to Work and provides a collaborative, inclusive, and fun work culture for all employees.
Why choose CIG's Actuary and Analytics Team?
The Actuarial and Analytics team is where you can hone your problem-solving abilities, develop inspired solutions to emerging issues, and grow into a technical insurance leader within CIG.
Benefits
Work Environment
This is a hybrid-eligible position, where Monday through Wednesday would be working in one of our offices, with Thursday and Friday eligible for work-from-home days. Office locations include: Reno (NV), Monterey (CA), and Phoenix (AZ).
JOB OVERVIEW:
Capital Insurance Group is seeking a candidate to join our Actuarial & Analytics Department. We look to partner with a candidate who fits with the CIG culture, excels as a decision enabler, and can effectively collect and communicate results to key stakeholders. This person will help shape the Actuarial & Analytics department, driving strategy and analytics objectives.
RESPONSIBILITIES:
As a Data Scientist, you will perform in-depth analyses. The results from your projects will facilitate change throughout the organization: from developing more sophisticated underwriting models to improving claim outcomes by building predictive claim metrics. The successful candidate has good business judgement, enjoys finding and creatively solving complex business issues, and successfully drives projects through to implementation.
Job description is not prescriptive, but rather a guide as to the duties and responsibilities you will have, however it is not limited to the listed above.
MINIMUM REQUIREMENTS:
Career Path potential:
Salary Range: $91,761 - $152,938
The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as benefits and bonus programs.
At Capital Insurance Group we offer our employees more than just a job. We foster career growth, provide opportunities to give back to our communities, and help you take the next step in your career!
CIG was founded in 1898 by a group of earnest farmers in need of protection and today, we are the leading West Coast Property & Casualty insurer. CIG is certified as a Great Place to Work and provides a collaborative, inclusive, and fun work culture for all employees.
Why choose CIG's Actuary and Analytics Team?
The Actuarial and Analytics team is where you can hone your problem-solving abilities, develop inspired solutions to emerging issues, and grow into a technical insurance leader within CIG.
Benefits
- Accrue twenty-one days of Paid Time Off during your first year
- Up to eighty-seven percent of benefits are covered by CIG for you and your family members
- Medical, Dental, Vision plans, Telehealth
- One hundred percent covered plans
- Basic Life & AD&D
- Employee Assistance
- Leave Management
- Long Term Disability
- Short Term Disability (Outside of CA)
- Employee Benefit Advocacy Hot Line
- Family Caregiver Support (Homethrive)
- Child Care Resources (Tootris)
- Business Travel Accident Protection
- Voluntary benefit offerings
- Short-term Disability (CA only)
- Voluntary Life AD&D self, spouse, and child plans
- Flexible Spending (FSA)
- Health Savings (HSA)
- Hospital Indemnity
- Accidental Injury
- Pet Insurance
- Commuter Benefit
- Critical Illness
- ARAG Legal Services
- Norton LifeLock
- Nine paid holidays, plus two floating holidays
- Above and Beyond Reward Recognition Program
- Kudos & Shout Out Points Program
- Quarterly Above and Beyond Bonus Program
- Annual Above and Beyond Bonus Program
- Competitive compensation
- Base compensation
- Salary Management Spot Bonuses
- Annual Incentive/Profit sharing program, potential payout annually based on company results.
- Discount partnerships
- Gym memberships, credit union, travel, shopping, restaurants, theme parks, and more
- Insurance, educational reimbursement, and bonus programs
- Employee Referral Bonus Program
- Home and Auto Insurance Discount Program.
- Paid Volunteer Time - Through company-planned community events and choose your own adventure PVT in giving back in ways that are meaningful to you!
- Retirement savings benefit (401k and Roth + match)
- Health & Financial Wellness
- Wellness platform, tools, and events - Vitality
- Health Savings Account - match
- Financial Wellness Resources
Work Environment
This is a hybrid-eligible position, where Monday through Wednesday would be working in one of our offices, with Thursday and Friday eligible for work-from-home days. Office locations include: Reno (NV), Monterey (CA), and Phoenix (AZ).
JOB OVERVIEW:
Capital Insurance Group is seeking a candidate to join our Actuarial & Analytics Department. We look to partner with a candidate who fits with the CIG culture, excels as a decision enabler, and can effectively collect and communicate results to key stakeholders. This person will help shape the Actuarial & Analytics department, driving strategy and analytics objectives.
RESPONSIBILITIES:
As a Data Scientist, you will perform in-depth analyses. The results from your projects will facilitate change throughout the organization: from developing more sophisticated underwriting models to improving claim outcomes by building predictive claim metrics. The successful candidate has good business judgement, enjoys finding and creatively solving complex business issues, and successfully drives projects through to implementation.
- Advanced Analytics - Understand and implement predictive modeling and machine learning techniques (e.g. regression, classification, clustering) and how they apply in insurance. You will be responsible for fully understanding techniques used, explaining validation metrics, identifying optimal models, etc.
- Story Telling - Demonstrate experience working with data visualization. Communication will be fundamental to success. You will be responsible for fully understanding department-specific needs, identifying and producing robust, intuitive solutions that enable decision makers.
- Collaboration - Work directly with internal partners to effectively launch analytics solutions across the organization. Success will be measured by the ability to effectively integrate analytics solutions into existing workflows and achieve buy-in from all parties, ultimately translating into improved financial performance.
- Dataset Architecture - All valuable analyses start with quality data. You will be responsible for compiling relevant data from multiple internal databases, utilizing alternative data for validation, and clearly documenting your process.
- Education - Actively pursue continuing education development opportunities. You will have access to several continuing education programs offered through CIG including analytics and data science training. CIG also supports travel to conferences that offer career development opportunities when available.
- Leadership - You will have opportunities to work on highly visible projects. You will be expected to pitch ideas and influence the status quo.
- Manage - Responsible for managing multiple high visibility projects at once. You will be expected to prioritize and execute projects in the face of ambiguity.
Job description is not prescriptive, but rather a guide as to the duties and responsibilities you will have, however it is not limited to the listed above.
MINIMUM REQUIREMENTS:
- Possesses a Bachelor's, Master's, or PhD in a quantitative or scientific field
- 7+ years of experience required. Special consideration will be given to candidates with advanced machine learning experience
- Experience creating and completing end-to-end analyses or modeling projects
- Background in statistics
- Demonstrated ability to implement findings from predictive modeling analyses
- Extensive experience using SQL and a comprehensive understanding of relational databases is required
- Advanced knowledge of Python, R, or another object-oriented statistical language
- Experience with data visualization software (e.g., Tableau) is a plus
- Candidates must be authorized to work in the United States without the need for current or future visa sponsorship.
Career Path potential:
- Senior Data Scientist
- Analytics Manager
- Lateral Career Path option
- Senior Data Engineer
Salary Range: $91,761 - $152,938
The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as benefits and bonus programs.