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Data Science Jobs in Reno, NV (NOW HIRING)

Lead and mentor forward-deployed data engineers, analytics engineers, and data scientists * Manage execution under real-world factory constraints * Travel and extended on-site assignments are a core ...

Middle School Science Tutor

Reno, NV ยท Remote

$18 - $40/hr

Skilled at breaking down the scientific method, experimental variable identification, and basic data analysis for middle school learners. Guides students through designing controlled experiments ...

Earth Science Tutor

Reno, NV ยท Remote

$18 - $40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy. * Effective Teaching ...

AP Environmental Science Tutor

Reno, NV ยท Remote

$18 - $40/hr

... data, and evaluating sustainability proposals. Emphasizes systems thinking and connects ... Familiar with AP Environmental Science curriculum across nine units and common challenges such as ...

Python Tutor

Reno, NV ยท Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework. * Conceptual ...

High School Science Tutor

Reno, NV ยท Remote

$18 - $40/hr

Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and college science prerequisites.

College Political Science Tutor

Reno, NV ยท Remote

$18 - $40/hr

... data, and constructing evidence-based political arguments. Emphasizes critical analysis of ... Familiar with political science curricula at introductory and upper-division levels and common ...

AP Computer Science A Tutor

Reno, NV ยท Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

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Geophysical Data Technician

Reno, NV ยท On-site

$250 - $300/day

The Geophysical Data Technician plays a crucial support role within small field teams, assisting senior scientists during geophysical surveys. This position primarily supports projects in oil and gas ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

TEAS Tutor

Reno, NV ยท Remote

$18 - $40/hr

Guides students through interpreting scientific data, converting measurement units, solving algebraic equations, analyzing sentence structure, and managing time across four test sections. Emphasizes ...

2025 Fall Intern, Clinical Applications

Sparks, NV ยท On-site

$15.25 - $20.50/hr

Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data Science, or related field. * A minimum GPA of 3.0 is strongly preferred Travel Expectations * Up to 5% ...

College Computer Science Tutor

Reno, NV ยท Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems, database systems, software engineering, discrete mathematics, and theory of ...

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Showing results 1-20

Data Science information

See Reno, NV salary details

$37.4K

$122.4K

$195.9K

How much do data science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data science 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Reno, NV? The most popular types of Data Science jobs in Reno, NV are:
What are popular job titles related to Data Science jobs in Reno, NV? For Data Science jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Reno, NV look for? The top searched job categories for Data Science jobs in Reno, NV are:
What cities near Reno, NV are hiring for Data Science jobs? Cities near Reno, NV with the most Data Science job openings:
Forward Deployed Data X Manager

Forward Deployed Data X Manager

Panasonic

Sparks, NV โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview
Do you want to join a team that's changing the world? Do you have a strong background as a Forward Deployed DataX Manager? Then we're looking for you! Check out the job description and apply now! Put your skills to meaningful use, gain unique experience, and work with world-class team members with diverse backgrounds and expertise who share the same vision. Join the PECNA team today!
Responsibilities
Forward Deployed DataX Manager
https://www.youtube.com/watch?v=0tMgKm_71qs
(by clicking this link you are being referred to an external site that is not part of Panasonic)
Meet the Recruiter: Eric Laffey
Summary:
Join us at Panasonic Energy as we expand to De Soto, Kansas, where we're building the world's largest lithium-ion battery factory. This is an exciting opportunity to grow your career while contributing to the future of electric vehicles. As part of our team, you'll help push the limits of battery technology, enhancing performance and efficiency in sustainable transportation.
Our state-of-the-art facility, just outside the Kansas City Metro, will be a hub for innovation in green energy solutions. If you're passionate about sustainability and eager to contribute to the electric vehicle revolution, we invite you to be part of our dynamic team. Join us and make a meaningful impact on the future of energy and transportation.
Job Summary:
Panasonic is seeking a Forward Deployed DataX Manager, reporting to the Director Digitial Manufacturing for Panasonic Energy. This professional will be accountable for delivering end to end data solutions that directly improve factory operations. This role works hands on on the factory floor with manufacturing, quality, and operations teams to translate production challenges-such as yield loss, scrap, downtime, and traceability gaps-into production grade, near real time data products. The manager leads the full lifecycle of data delivery, including designing and deploying pipelines across MES, equipment, historians, quality, CMMS, SCADA, and inspection systems, building analytics and dashboards used daily by operators and engineers, modeling core manufacturing entities, and mentoring forward deployed data teams, all while operating under real world production constraints and supporting extensive on site and travel requirements.
Essential Duties:
  • Mandatory on-site, embedded role within EV battery manufacturing facilities - Sparks, NV or De Soto, KS
  • Serve as the single accountable team leader for forward-deployed DataX outcomes
  • Work directly on the factory floor with manufacturing, quality, and operations teams
  • Translate production problems (yield loss, scrap, downtime, traceability gaps) into deployable data solutions
  • Lead end-to-end delivery of data products from discovery to production
  • Design and deploy production-grade data pipelines integrating equipment, MES, historians, quality, CMMS, SCADA, and inspection quality systems
  • Implement event-driven and near-real-time analytics for operational decision-making
  • Build and operationalize solutions using but not limited to AWS, Azure, Palantir Foundry and/or similar platforms
  • Model manufacturing entities such as cells, lots, batches, equipment states, and genealogy
  • Develop operational dashboards and analytical applications used daily by engineers and operators
  • Lead and mentor forward-deployed data engineers, analytics engineers, and data scientists
  • Manage execution under real-world factory constraints
  • Travel and extended on-site assignments are a core requirement

Supervisory Responsibilities:
  • Provides direct leadership and day-to-day oversight for forward-deployed data engineers, analytics engineers, and data scientists assigned from time to time for on-site manufacturing deployments.
  • Plans, assigns, and coordinates work across engineering and analytics functions to support end-to-end delivery of production data solutions
  • Mentors and develops team members through hands-on guidance, technical leadership, and on-site collaboration in live factory environments.
  • Oversees and coordinates work performed by external vendors and contractors supporting forward-deployed data solutions, ensuring alignment with project objectives, delivery standards, and on-site operational requirements.
  • Serves as a Technical Leader for the DataX team leading innovation while balancing operational requirements

Travel Requirement:
  • Occasional local travel between company facilities, as required to support operational needs
  • Up to 20% travel required

Personal Protective Equipment (PPE) Requirements:
  • To ensure the health and safety in the workplace and for the protection of our employees, wearing PPE is a possibility and may include equipment such as a full Tyvek suit, safety shoes, gloves, safety glasses, face mask, bump cap, and a full hazmat suit that includes a respirator.

The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job.
Qualifications
Requirements - Required and/or Preferred
Education, Certifications, and Licenses:
Required:
  • Bachelor's degree in Engineering, Science or Mathematics

Preferred:
  • Engineering degree in Computer Science
  • AWS, Azure, Palantir, AI certification/s
  • Prior experience in Data Science
  • Prior experience in Manufacturing, Industrial or Software Solutions

Essential Qualifications:
  • 7+ years' experience in data engineering, analytics, AI, or software delivery
  • 2+ years leading teams or owning large customer-facing deployments
  • A graduate degree is mandatory for this role
  • Strong hands-on proficiency with Cloud based Data Solutions - AWS (S3, EC2, IAM, Lambda, Glue, Redshift, Athena), Palantir, Azure, etc.
  • Experience building and operating ETL / ELT pipelines at manufacturing scale
  • Hands-on experience with event-based platforms (Kafka, Kinesis, or equivalent)
  • Proficiency in Palantir Foundry, including pipelines, ontologies, and applications
  • Strong experience with Tableau for operational and executive dashboards
  • Proficiency in SQL and Python
  • Experience integrating MES, historians, PLC-adjacent data, and quality systems
  • Familiarity with EV battery manufacturing processes (cell, formation, aging, test, genealogy) is a plus
  • Comfortable operating in ambiguous, high-pressure, production environments
  • Willingness and ability to meet mandatory on-site and travel requirements

Physical Demands:
Physical Activities: Percentage of time (equaling 100%) during the normal workday the employee is required to:
  • Sit: 10%
  • Walk: 50%
  • Stand: 40%

Required Lifting and Carrying: Rare (<1%), Occasional (1-33%), Frequent (34-66%), Continuous (67-100%)
For this position, the required frequency is:
  • Up to 10 lbs.: Continuous
  • Up to 20 lbs.: Frequent
  • Up to 35 lbs.: Frequent
  • Team-lift only (over 35 lbs.): Occasional

Benefits & Perks - What's In It For You:
Panasonic Energy prioritizes total well-being and offers comprehensive benefits options to support physical, emotional, financial, social, and environmental health:
  • Health Benefits - Offering medical, dental, vision, prescription plans, plus Health Savings Account and Flexible Spending Account options.
  • Voluntary Benefits - Life, accident, critical illness, disability, legal, identity theft, and pet insurance.
  • Panasonic Retirement Savings & Investment Plan (PRSIP) - 401(k) plan with company matching contributions and immediate vesting.
  • Paid Time-Off Benefits - Vacation, holidays, personal days, sick leave, volunteer, and parental & caregiver leave.
  • Educational Assistance - Tuition reimbursement for job-related courses after six months of service.
  • Health Management and Wellbeing Programs -Lifestyle Spending Account, EAP, virtual health management, chronic condition, neurodiversity, tobacco cessation, substance abuse support, and life stage and fertility resources. Available to eligible employees starting the first day of the month following your start date. Eligibility for each benefit may vary based on employment status, location, and length of service.
  • Employee Recognition Program - High5 employee recognition and awards platform, quarterly and annual employee recognition
  • Annual Bonus Program - Opportunity for an annual performance-based bonus.
  • On-site Food Options: Several on-site cafes, plentiful snack and beverage kitchens, revolving on-site vendor visits and employee events.

Where You'll Be:
For our onsite roles, Panasonic Energy is committed to fostering an ideal working environment that goes beyond the conventional. We understand the significance of moments that matter in your onsite experience, and we prioritize creating a workspace that not only promotes productivity but also ensures a fulfilling and positive work atmosphere. Join us at Panasonic Energy, where your onsite presence is valued, and we strive to make each moment count in your professional journey.
Who We Are:
Meet Panasonic Energy! At Panasonic Energy, you'll do work that matters as we are dedicated to transforming the world through the acceleration of sustainable energy. By producing safe, high-quality lithium-ion batteries, you become part of a team that plays a crucial role in creating technologies that move us.
Our journey began in 2017, and now, as the world's largest lithium-ion battery factory, we are expanding operations to De Soto, Kansas, providing you with the opportunity to experience career growth in more ways than one.
As an innovative thinker, you'll thrive here, as we continually push the boundaries of lithium-ion battery technology and production capabilities to enhance efficiency and performance in EVs.
Being part of Panasonic Energy means positively contributing to society, aligning with our commitment to building a better world through sustainable energy solutions.
We care about what you care about, fostering an environment where your contributions make a meaningful impact on the future of energy and transportation. Join us and be part of a team that values your work, encourages innovation, and actively contributes to a positive societal impact.
In addition to an environment that is as innovative as our products, we offer competitive salaries and benefits.
We Take Opportunity Seriously:
At Panasonic Energy, we are committed to a workplace that genuinely fosters inclusion and belonging. Fairness and Honesty have been part of our core values for more than 100 years and we are proud of our diverse culture as an equal opportunity employer.
We understand that your career search may look different than others and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience. If you are actively looking or starting to explore new opportunities, submit your application!
Supplemental Information:
Pre-employment drug testing is required.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation.
Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. without restriction.
Thank you for your interest in Panasonic Energy Corporation of North America.
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