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Freelance Data Science Internships Jobs (NOW HIRING)

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

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How much do freelance data science internships jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for freelance data science internships in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule in data science, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this rule to focus on the most impactful features, data points, or tasks to improve model performance efficiently.

Is 30 too late for data science?

Age is not a barrier to pursuing a data science internship; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively for internships.

What is the difference between Freelance Data Science Internships vs Data Science Interns?

AspectFreelance Data Science InternshipsData Science Interns
Work EnvironmentRemote or flexible, project-basedTypically in-office or remote, structured internship programs
CredentialsOften students or early-career, no formal certification requiredStudents or recent graduates, may have coursework or certifications
Employer & Industry UsageFreelance platforms, startups, consulting firmsCompanies, universities, tech firms offering structured internships
Search & Comparison IntentLooking for flexible, project-based opportunitiesSeeking structured internship programs for experience

Freelance Data Science Internships offer flexible, project-based work often found on freelance platforms, suitable for early-career individuals seeking diverse experiences. Data Science Interns typically participate in structured programs within companies or universities, focusing on gaining industry-specific skills through formal internships.

Can I do freelancing in data science?

Freelance data science internships are available for individuals with skills in programming, statistics, and data analysis tools like Python or R. These internships often involve project-based work, flexible schedules, and remote collaboration, making freelancing a viable option for gaining experience and building a portfolio.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work in high-paying industries or senior roles. Such salaries are typically seen in senior positions, management, or specialized fields within technology and finance. Entry-level or mid-career data scientists usually earn less, but salary growth is common with skill development and experience.
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Freelance Data Science Internships jobs near you
Infographic showing various Freelance Data Science Internships job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Science Intern

Faire

San Francisco, CA

$75/hr

Other

Re-posted 20 days ago

Job description

Data Science Internship - Fall 2026

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Team

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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