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Data Science Jobs in Post Falls, ID (NOW HIRING)

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards. * Develop and review problem sets, case studies, or scenarios based on real-world ...

Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development. * Provide written and verbal expertise on microbiological phenomena and their relevance to ...

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

GIS Specialist

Spokane, WA · On-site

$50K - $95K/yr

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

Digital Analyst Internships

Spokane, WA · On-site

$99K - $117K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Digital Analyst Internships

Coeur D Alene, ID · On-site

$96K - $113K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Supporting immunoassay development teams with experimental setup, data collection, and documentation * Conducting laboratory studies to evaluate assay performance under guidance from scientific staff

Showing results 41-60

Data Science information

See Post Falls, ID salary details

$36.8K

$120.5K

$192.9K

How much do data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science in Post Falls, ID is $120,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $133,500.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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 are the most commonly searched types of Data Science jobs in Post Falls, ID?

The most popular types of Data Science jobs in Post Falls, ID are:

What are popular job titles related to Data Science jobs in Post Falls, ID?

For Data Science jobs in Post Falls, ID, the most frequently searched job titles are:

What cities near Post Falls, ID are hiring for Data Science jobs?

Cities near Post Falls, ID with the most Data Science job openings:

Infographic showing various Data Science job openings in Post Falls, ID as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,462 per year, or $57.9 per hour.

Finance Leadership Development Program Internship

Siemens

Spokane, WA • On-site

$22 - $24/hr

Other

Retirement

Posted 6 days ago


Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

266th of 449 rated engineering


Job description

Are you ready to prepare yourself for a career in helping to lead the financial success of an engineering, electrification, automation, and digital powerhouse? Then come join the Finance Leadership Development Program (FLDP)!

The Finance Leadership Development Program (FLDP) Internship gives you the opportunity to learn what it takes to analyze and manage the financial functions of a company ranked among the top 50 in sales in the world. You will receive mentoring from Siemens' team of business leaders and gain access to and network with Siemens' senior decision-makers.

Upon completion of the internship program, high-performing interns who are seniors will have the opportunity to interview for a fulltime position in the FLDP rotational program where you will have the opportunity to pursue a career path as a Financial Analyst, Accountant, Business Process Specialist/Auditor, Business or Plant Controller or Data Analyst for Siemens.

What is the FLDP Internship:

The Finance Internship is a 12-week summer internship program that allows the opportunity to experience the day-to-day functions of a wide range of businesses as you learn how to analyze and support the financial aspects of a multi-billion-dollar company. The program starts in May and ends in August. Individual assignments will take place at one of our nationwide offices.

In this program, participants observe and learn from Siemens' team of innovators as they hone their skills in business planning, financial analysis, cost analysis, corporate accounting, planning and forecasting, commercial project management, risk assessment, credit analysis, strategy, operational review/internal audit, and other corporate finance-based roles.

Apply the knowledge you gained in the classroom to help solve problems while acquiring hands-on experience in a real-world working environment!

The internship program is designed to identify top candidates for the full-time rotational Finance Leadership Development Program upon graduation.

Who Should Apply:

We're looking for people who are innovative - true problem solvers who challenge themselves to find the most effective and efficient solutions to complex challenges. Siemens provides a platform for those who want to have an impact on the future and to contribute to the successes of the company, the customer, and our world.

To apply for the FLDP Internship program, candidates must meet the following requirements:

  • Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics, Management Information Systems, or Management with a Finance/Accounting focus
  • Minors: Data Science or Management Information Systems preferred
  • Education: Current undergraduate student pursuing a bachelor's degree from an accredited technical school, college, or university (you must be a registered student at the time of the internship)
  • Availability: Ability to work 40 hours per week from May to August 2026
  • Relocation: Must be willing to relocate and travel as required by program (housing stipend and mileage reimbursement for relocation will be provided)
  • Work Authorization: Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.
  • Eligibility: This internship/co-op is a structured experiential learning program for individuals currently enrolled in a degree or certificate program who will continue their studies following the assignment. Current and continuing enrollment is a condition of participation. Applicants who have completed or expect to complete their educational program before or during the assignment period are encouraged to explore our Early Career / Leadership Development opportunities.

As part of the application, you will be asked to confirm your enrollment status. If your application includes uploaded documents (resume, transcript, or other materials), you may redact any information identifying your age, date of birth, or dates of attendance at or graduation from an educational institution. Redacting this information will not affect your candidacy.

For more information, check out our FAQs by clicking here!

URDP #LI-SN1

You'll Benefit From

The hourly pay range for this position $22 - $24 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.


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