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Remote No Experience Data Science Jobs in Iowa (NOW HIRING)

Varsity Tutors

High School Computer Science Tutor

Ames, IA · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types ...

Varsity Tutors

AP Computer Science A Tutor

Ames, IA · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Ability to explain object-oriented programming principles, algorithm efficiency, and common data ...

Varsity Tutors

AP Computer Science A Tutor

Iowa City, IA · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Ability to explain object-oriented programming principles, algorithm efficiency, and common data ...

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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 Iowa are hiring for Remote No Experience Data Science jobs?

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

    Remote No Experience Data Science jobs near you

    Cheminformatics Specialist - Remote

    micro1 AI

    Davenport, IA • Remote

    $80 - $110/hr

    Part-time

    Posted 14 days ago

    Job description

    Role Title: Computational Biology & Cheminformatics Expert


    Role Type: Contractor


    Location: Remote


    micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
    2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
    3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
    4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
    5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
    6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
    7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


    Preferred Qualifications

    1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
    2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
    3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
    4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
    5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
    6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
    7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

    Apply