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Remote No Experience Data Science Jobs in Alaska

UIC Alaska

Field Support Technician - UIC Science

Barrow, AK · Remote

$24.50 - $33.75/hr

... data; and supporting logistics for scientific projects. Responsibilities also include ensuring ... Experience with remote hunting, camping, or working on the ice or land in Arctic conditions.

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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 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 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.

Is it possible to get a data science job with no experience?

Entry-level data science positions often do not require prior professional experience if candidates have relevant skills such as programming in Python or R, knowledge of statistics, and familiarity with data analysis tools. Building a portfolio through online courses, projects, and certifications can improve chances of securing such roles without formal work experience.

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 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:
Remote No Experience Data Science jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Anchorage, AK • Remote

$90 - $120/hr

Part-time

Posted 9 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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