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No Experience Data Scientist Jobs (NOW HIRING)

Data Scientist

Lehi, UT ยท On-site

WHAT YOU'LL DO We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Health ...

WHAT YOU'LL DO We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Health ...

Synergy Staffing is seeking an experienced Data Scientist with a strong focus on Microsoft Fabric to design, implement, and maintain enterprise data solutions. The ideal candidate will have hands-on ...

The Data Scientist will work as part of a research-focused team to advance national security ... no supervision. Preferred Qualifications * Significant data analytics experience supporting ...

Data Scientist

Bolingbrook, IL ยท On-site

$102K - $130K/yr

OVERVIEW Live the experience . From professional empowerment to continual learning opportunities ... We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by ...

The impact an experienced data scientist can have on an organization is immense including automating manual processes, predicting future trends, and detecting anomalies. Data Scientist experience ...

OVERVIEW Live the experience . From professional empowerment to continual learning opportunities ... We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by ...

OVERVIEW Live the experience . From professional empowerment to continual learning opportunities ... We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by ...

Along with the importance of experience and education, Armison Tech looks for the superior ... Data Scientist Location: Chantilly,VA (on-site client environment) Clearance: TS/SCI with polygraph ...

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience connecting visualization to various types of data sources * Experience developing ...

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience connecting visualization to various types of data sources * Experience developing ...

Data Scientist (Remote)

Washington, DC ยท Hybrid

$135K - $150K/yr

Data Scientist ROLE We need an experienced Data Scientist at the Office of the Under Secretary of ... No travel required WORK HOURS * 40 hours per week * 8 hours per working day EMPLOYMENT ...

Data Scientist (Remote)

Washington, DC ยท On-site +1

$135K - $150K/yr

Data Scientist ROLE We need an experienced Data Scientist at the Office of the Under Secretary of ... No travel required WORK HOURS * 40 hours per week * 8 hours per working day EMPLOYMENT ...

Data Scientist (Remote)

Washington, DC ยท Hybrid

$135K - $150K/yr

Data Scientist ROLE We need an experienced Data Scientist at the Office of the Under Secretary of ... No travel required WORK HOURS * 40 hours per week * 8 hours per working day EMPLOYMENT ...

NY ยท On-site

$80 - $120/hr

Min. 2 years of experience as a Data Scientist / implementing commercial analytical projects ... No dress code #J-18808-Ljbffr

New

The primary work is finding connections in TCMD's data that no one has looked for yet, building ... Experience creating predictive models for non-data-scientists to make real commercial or ...

Get a daily email digest of new Data Scientist jobs Skillenai aggregates data scientist jobs from across the open web. Click below and we'll open a pre-filled daily digest -- change the cadence to ...

New

Showing results 41-60

No Experience Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do no experience data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for no experience data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by entry-level data scientists with no prior experience, and how can they overcome them?

Entry-level data scientists often face challenges such as bridging the gap between academic knowledge and real-world data problems, understanding business context, and adapting to collaborative workflows with engineers, analysts, and stakeholders. It can be intimidating to work with messy or incomplete datasets and to communicate findings to non-technical audiences. Overcoming these challenges involves proactively seeking mentorship within the team, participating in code reviews, and focusing on continuous learning through project work and online resources. Building strong communication skills and being open to feedback will help you grow quickly in the role.

What are the key skills and qualifications needed to thrive as a no experience data scientist?

To thrive as a No Experience Data Scientist, you need a solid understanding of statistics, programming (often Python or R), and basic data analysis, usually supported by a relevant degree or completion of online courses. Familiarity with tools like Jupyter Notebooks, SQL databases, and introductory machine learning libraries such as scikit-learn is valuable. Curiosity, strong problem-solving abilities, and a willingness to continuously learn help you stand out in entry-level data science roles. These skills and qualities are crucial for effectively analyzing data, building foundational models, and adapting quickly in a rapidly evolving field.

How do I get a job in data science with no experience?

To get a data scientist position with no experience, focus on building relevant skills through online courses, certifications, and personal projects that demonstrate proficiency in programming, statistics, and data analysis. Gaining experience with tools like Python, R, SQL, and data visualization platforms can improve your chances, and internships or entry-level roles can provide practical exposure to the field.

What is a no experience data scientist?

A 'no experience data scientist' typically refers to someone entering the field of data science without prior professional experience in the role. These individuals often have foundational knowledge in statistics, programming (such as Python or R), and data analysis, possibly gained through education, online courses, or personal projects. Entry-level data scientist positions are designed for candidates who are eager to learn and can demonstrate analytical thinking, problem-solving skills, and familiarity with key data science concepts. Employers may look for evidence of potential, such as participation in Kaggle competitions, completion of relevant certifications, or a portfolio of projects. While hands-on job experience is not required, showcasing initiative and foundational skills is crucial to securing a position.
More about No Experience Data Scientist jobs
What cities are hiring for No Experience Data Scientist jobs? Cities with the most No Experience Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most No Experience Data Scientist jobs? States with the most job openings for No Experience Data Scientist jobs include:
Infographic showing various No Experience Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Waystar

Lehi, UT โ€ข On-site

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago


Job description

ABOUT THIS POSITION
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.
WHAT YOU'LL DO
Job Description
We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will interact with teams from Account Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line. The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for this position can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.
  • Additional Job Description
    • Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
    • Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing
    • Understanding of orders of algorithms and how they scale
    • Demonstrated competency in R/Python predictive modeling
    • Demonstrated competency in RDBMS (e.g. SQL Server)
    • Ability to code in 1+ general purpose programming language (C#, Java, etc.)
    • Must be a quick-learner with the ability to multi-task in a fast-paced environment
    • Outstanding presentation abilities and the ability to communicate with all levels of the Business
    • Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
    • Outstanding communication and interpersonal skills
    • Must possess strong analytical, problem-solving, and writing skills
    • Proficient in Microsoft Office applications
    • Detail-oriented
    • Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred
    • An aptitude for medical informatics is preferred

WHAT YOU'LL NEED
Additional Job Description
  • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products
  • Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning
  • Translates real-world Healthcare problems to mathematical frameworks
  • Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role
  • Understands, organizes, and communicates root causes of problems and successes succinctly

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLASยฎ or Category Leader awards since 2010 and earned multiple #1 rankings from Black Bookโ„ข surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.