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Remote No Experience Data Science Jobs in Alaska

Remote Travel Advisor

Anchorage, AK · Remote

$35K - $85K/hr

Remote Travel Advisor Flexible Schedule | Training Provided | Travel Perks | Commission-Based Do ... No prior travel industry experience is required--we provide comprehensive training and ongoing ...

$40/hr

Familiarity with the data science lifecycle and basic machine learning concepts * Experience with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$40/hr

Familiarity with the data science lifecycle and basic machine learning concepts * Experience with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$40/hr

Familiarity with the data science lifecycle and basic machine learning concepts * Experience with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Virtual Sales Associate

Anchorage, AK · Remote

$14.25 - $19.50/hr

No experience necessary, we provide structured onboarding and live coaching for all new team members. Perks & Earnings * 100% Remote: Freedom to work from your home office with a flexible schedule.

$22/hr

Experience using Excel to collect and analyze data Travel Requirements & Working Conditions ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

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Remote No Experience Data Science information

What is a remote no experience data science job?

A remote no experience data science job is an entry-level position that allows you to work from home or any location without requiring prior professional experience in the data science field. These roles typically focus on tasks like data cleaning, basic data analysis, or assisting senior team members with projects. Employers often seek candidates with foundational knowledge in programming languages like Python or R, basic statistics, and a willingness to learn. These jobs are ideal for recent graduates, career changers, or individuals who have completed relevant online courses or certifications.

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

To thrive as a remote entry-level data scientist, you generally need foundational knowledge in statistics, data analysis, and programming (often in Python or R), which can be demonstrated through online courses or relevant degrees. Familiarity with tools like Jupyter Notebook, SQL, and data visualization platforms such as Tableau is beneficial, and certifications from platforms like Coursera or DataCamp can enhance your qualifications. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for collaborating remotely and interpreting complex data. These skills and qualities enable you to contribute meaningfully to data-driven projects, even without prior professional experience, and help you work efficiently in a remote environment.

What are common challenges faced by entry-level data scientists working remotely with no prior experience?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship and real-time feedback, which can slow down the learning process. Additionally, remote roles may require strong self-discipline and proactive communication skills to collaborate effectively with team members across different locations and time zones. It's also common to face a steep learning curve when working with unfamiliar tools or large datasets, making it important to seek out online resources and actively participate in virtual team meetings. Building a professional network and asking questions regularly can help overcome these hurdles and accelerate growth in the field.

What is the difference between Remote No Experience Data Science vs Remote No Experience Data Analyst?

AspectRemote No Experience Data ScienceRemote No Experience Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some online coursesBasic Excel, data visualization, and analytical skills
Work EnvironmentRemote, collaborative with data science teamsRemote, often involved in reporting and data interpretation
Industry UsageUsed in tech, finance, healthcare for predictive modelingUsed across industries for reporting, trend analysis
Search & Comparison IntentPeople exploring entry-level data science roles without experienceIndividuals interested in entry-level data analysis roles

Remote No Experience Data Science and Remote No Experience Data Analyst roles share similarities in entry-level requirements and remote work settings. However, data science focuses more on predictive modeling and machine learning, while data analysis emphasizes reporting and data interpretation. Both roles are suitable for beginners with basic skills and are in high demand across various industries.

What are popular job titles related to Remote No Experience Data Science jobs in Alaska?

For Remote No Experience Data Science jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Remote No Experience Data Science jobs in Alaska look for?

The top searched job categories for Remote No Experience Data Science jobs in Alaska are:

What cities in Alaska are hiring for Remote No Experience Data Science jobs?

Cities in Alaska with the most Remote No Experience Data Science job openings:

Data Scientist (Statistician)

Anchorage, AK • On-site, Remote


Internal Revenue Service
Public Administration • 10K+ employees

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

130th of 294 rated public sector bodies

People enjoy working here

Good employer

Recommended by students


$125K - $197K/yr

Full-time

Posted 6 days ago


Job description

Summary
WHAT IS LARGE BUSINESS AND INTERNATIONAL?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • LBI - ADCCI - Compliance Planning & Analytics (CP&A), Workload Development & Delivery (WDD). Team will be determined at time of selection.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS
Learn more about this agency
Duties
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The following are the duties of this position at the full working level. If this vacancy includes more than one grade and you are selected at a lower grade level, you will have the opportunity to learn to perform these duties and receive training to help you grow in this position.
  • Serves as a technical expert with responsibility for the initiation, planning, implementation, controlling,
    modifying and executing of all or part of an entire project, including such tasks as formulation of workload
    estimates for program segments, specification of the methodology to be used, preparation of appropriate
    specifications and procedures, and review of computer systems specifications and materials and
    instructions needed for assuring the adequacy of the project's design and objectives. Explores novel
    methods of retrieving data and develops innovative recommendations to management and senior
    leadership as a means for making data driven decisions which may result in a modification of policies
    and/or processes. Reviews, evaluates, validates, and documents the results of the findings. Provides highly
    technical advice to all levels of management throughout the Agency as needed.
  • As a technical expert on guidelines and policies, the incumbent interprets, develops, adapts, and coordinates
    analytical reviews of new policies, procedures, and program requirements of the Service and their impact on
    Servicewide operations and resources. Accordingly, the incumbent advises and negotiates acceptance of
    conflicting issues with management in the formulation of specific policies. Applies and disseminates newly
    developed or revised policies and procedures for use as appropriate for use throughout the Service.
  • Directs, coaches, and mentors junior staff, reviews work of other analysts, provides feedback to
    management regarding staff performance, and demonstrates leadership in the office including regular
    assignments as acting manager.
  • Independently or overseeing project activities performing the following: Identifies and assesses relevant data
    sources' validity and reliability to meet project needs.

STANDARD POSITION DESCRIPTIONS (SPD): PD99379
Visit the IRS SPD Library to access the position descriptions.
Requirements
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Conditions of employment
  • Probationary Period - A person who is required to go through a probationary period and then is transferred, promoted, demoted, or reassigned before he or she completes such period is required to complete the remainder of the probationary period in the new position.
  • Government Credit Card - Obtain and use a Government-issued charge card for business-related travel.

ADDITIONAL REQUIREMENTS SHOWN IN QUALIFICATIONS SECTION
Qualifications
Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirement(s):
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03 or 04 positions.

For more information on qualifications please refer to OPM's Qualifications Standards.
Education
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).
Additional information
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
  • In the event that a building is closed due to rent management, new hires may be placed in a local commuting location.
  • Additional jobs may be filled from this announcement or any other source to fill these vacancies.
  • Alternative work schedule, staggered work hours may be available.
  • Salary: General Schedule (GS) Locality Pay tables may be found under Salaries & Wages.
  • Cost-of-Living Allowances (COLA): Alaska, Hawaii, Virgin Islands, Puerto Rico includes COLA. See COLA Rates 2026.

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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
As a current employee, you know the great benefits we offer. Should you have any questions about benefits, please contact the Employee Resource Center (ERC) at 1-866-743-5748 option #1 for ERC.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.


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