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Evening 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 evening data science internships jobs pay per year?

As of Aug 3, 2026, the average yearly pay for evening data science internships in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are evening data science internships?

Evening data science internships are structured work experiences for students or entry-level professionals that take place during evening hours, allowing participants to gain practical skills in data science while managing other daytime commitments, such as classes or jobs. These internships typically involve working on real-world data projects, learning programming languages like Python or R, and collaborating with experienced data scientists. Evening internships are ideal for those seeking flexibility, hands-on experience, and an opportunity to build their resume without interfering with their daytime responsibilities.

What is the difference between Evening Data Science Internships vs Part-Time Data Analyst Positions?

AspectEvening Data Science InternshipsPart-Time Data Analyst Positions
CredentialsTypically students or recent graduates with coursework in data science or related fieldsOften requires prior experience or specific skills in data analysis
Work EnvironmentInternship programs, often in tech or finance companies, with mentorshipPart-time roles within organizations, possibly remote or on-site
Industry UsageCommon in tech, finance, healthcare sectors for training future professionalsWidespread across industries for ongoing data analysis needs

Evening Data Science Internships are designed for students or recent graduates seeking hands-on experience, often in structured programs. Part-Time Data Analyst Positions are ongoing roles requiring some experience, focusing on data analysis tasks. While internships emphasize learning and mentorship, part-time roles focus on supporting business operations. Both roles can be flexible and are valuable for career development in data fields.

What are the key skills and qualifications needed to thrive as an Evening Data Science Intern, and why are they important?

To thrive as an Evening Data Science Intern, you need a solid grounding in statistics, programming languages like Python or R, and a relevant academic background in computer science, mathematics, or related fields. Familiarity with data analysis tools such as Pandas, SQL, and machine learning frameworks, as well as experience using platforms like Jupyter Notebook, is highly valued. Strong problem-solving abilities, effective communication, and time management are crucial soft skills for balancing internship responsibilities with other commitments. These competencies enable interns to contribute meaningfully to data-driven projects while adapting to a flexible or part-time schedule.

What are the typical responsibilities and learning opportunities for an Evening Data Science Intern?

As an Evening Data Science Intern, you'll often work on data cleaning, exploratory data analysis, and supporting ongoing projects within a data science team, usually during after-hours to accommodate your schedule. You'll have opportunities to collaborate with full-time data scientists, participate in team meetings, and contribute to real-world problem-solving using statistical and machine learning tools. This role is ideal for gaining hands-on experience with industry-standard tools like Python, SQL, and visualization platforms, while also learning how to communicate findings in a professional setting. Interns are typically mentored closely, making it a great chance to build both technical and soft skills that pave the way for future full-time roles.
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Evening Data Science Internships jobs near you
Infographic showing various Evening 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 $129,716 per year, or $62.4 per hour.

Data Science Intern

Faire

San Francisco, CA

$75/hr

Other

Re-posted 19 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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