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Remote Data Science Apprenticeship Jobs (NOW HIRING)

Expel

Manager, Data Science

$151K - $219K/yr

Offer work location flexibility, including remote from your home office What you can do for Expel Lead the team * Guide the data science team to work on small-to-medium scale, high-impact R&D ...

Maximus

Data Science Manager

VA · On-site +1

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Prolific

Data Science Manager

New York, NY · On-site +1

Data Science Manager New York City, Hybrid Prolific Prolific is not just another player in the AI ... Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

Zantech

Data Analyst

San Antonio, TX · On-site +1

The Data Analyst will be primarily responsible for Data Analysis, Remote statistical analysis ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

Zantech

Data Analyst

Oklahoma City, OK · Remote

The Data Analyst will be primarily responsible for Data Analysis, Remote statistical analysis ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

Zantech

Data Analyst

San Antonio, TX · Remote

The Data Analyst will be primarily responsible for Data Analysis, Remote statistical analysis ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

Zantech

Data Analyst

Oklahoma City, OK · On-site +1

The Data Analyst will be primarily responsible for Data Analysis, Remote statistical analysis ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

StubHub

Data Science Manager

New York, NY · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City , CA What You'll Do

Mission Lane

Head of Data Science

About the Role As the Head of Data Science, you will lead the strategic direction of data science ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... in Data Science * Professional experience with, and more than a basic understanding of AI ...

New

Mission Lane

Head of Data Science

Richmond, VA · On-site +1

About the Role As the Head of Data Science, you will lead the strategic direction of data science ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

StubHub

Data Science Manager

Los Angeles, CA · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA What You'll Do

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Remote Data Science Apprenticeship information

What are the key skills and qualifications needed to thrive as a Remote Data Science Apprentice, and why are they important?

To thrive as a Remote Data Science Apprentice, you need a solid understanding of statistics, programming (commonly Python or R), and a relevant educational background such as coursework or a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization platforms, as well as version control systems such as Git, is typically required. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for remote collaboration and continuous learning. These skills and qualities are crucial for effectively analyzing data, contributing to team projects, and adapting to the dynamic, independent nature of remote work environments.

What are some common challenges faced during a remote data science apprenticeship, and how can they be overcome?

Remote data science apprenticeships often present challenges such as limited face-to-face mentorship, managing time across different projects, and staying motivated without in-person team dynamics. To overcome these, it's important to proactively communicate with your mentors and peers, make use of collaborative tools like Slack or Zoom, and set clear, achievable goals each week. Establishing a structured daily routine and regularly participating in virtual team meetings can also help maintain accountability and foster a sense of connection with the team.

What is a Remote Data Science Apprenticeship?

A Remote Data Science Apprenticeship is a structured training program that allows individuals to gain practical experience in data science while working from a remote location. These apprenticeships typically combine mentorship, hands-on projects, and coursework to help participants develop essential skills like data analysis, machine learning, and programming. Apprentices work with real-world datasets and collaborate with experienced data scientists, often as part of a distributed team. The remote format offers flexibility and accessibility, making it easier for people from various backgrounds to enter the data science field.

What is the difference between Remote Data Science Apprenticeship vs Remote Data Analyst?

AspectRemote Data Science ApprenticeshipRemote Data Analyst
Required CredentialsTypically entry-level, often requiring a background in math, statistics, or computer science; may include certifications or coursesUsually requires a degree in data-related fields; certifications like Excel, SQL, or Tableau are common
Work EnvironmentTraining-focused, often with mentorship; may involve project-based learningOperational, analyzing data to support business decisions; may involve reporting and visualization
Employer & Industry UsageUsed by companies to train future data scientists; common in tech, finance, healthcareUsed across industries for data-driven decision making; common in marketing, finance, retail

The Remote Data Science Apprenticeship is a training program designed to develop skills in data science, often with mentorship, while a Remote Data Analyst focuses on analyzing and interpreting data to inform business strategies. Both roles require familiarity with data tools, but apprenticeships emphasize learning and growth, whereas analyst roles focus on applying existing skills.

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Remote Data Science Apprenticeship jobs near you
Manager, Data Science

Manager, Data Science

Expel

Remote

$151K - $219K/yr

Full-time

Medical, PTO

Posted 26 days ago

Job description

You believe the most impactful data science comes from teams that are close to the problem - and you're energized by building those high-performing teams. At Expel, you'll lead a data science team doing R&D that shapes how we use machine learning, generative AI, and LLMs to protect our customers and make our humans better at their jobs. You'll work at the intersection of cutting-edge AI and real-world security operations, with access to unique data sets and a team that genuinely cares about doing it right.
You're comfortable talking technical depth with researchers and translating tradeoffs for product and business stakeholders. You coach people on their careers as naturally as you debate model architectures. You set clear expectations, remove blockers, and let your team do their best work - and you see enabling your team as the core of the role.
What Expel can do for you
  • Give you an environment where people, process, and purpose actually matter - not just as values on a wall
  • Connect you with cross-functional collaborators (PM, UX, D&R, Security, Engineering) who are genuinely invested in building great things together
  • Let you work on hard, meaningful problems - using AI to help defenders win
  • Offer unlimited PTO (that leadership models and encourages), up to 24 weeks of parental leave, and really excellent health benefits
  • Support your professional growth with a conference benefit and continuous learning opportunities
  • Offer work location flexibility, including remote from your home office
What you can do for Expel
Lead the team
  • Guide the data science team to work on small-to-medium scale, high-impact R&D projects - iterating fast, communicating status clearly, and coordinating delivery with stakeholders
  • Coach and develop your team through regular 1:1s, performance reviews, and career conversations; recruit and onboard new members with an eye toward team dynamics
  • Foster a culture of responsible AI, innovation, and technical excellence

Shape the strategy
  • Work closely with PM, UX, D&R, Security, and Engineering to contribute to product strategy, set delivery expectations, and engage in collaborative discussion about tradeoffs
  • Collaborate with peer teams to define Expel's generative AI and LLM strategy - identifying opportunities to leverage foundation models, new architectures, and agentic workflows
  • Engage in resource planning, technical decision making, and budget management in service of the product and technical roadmaps

Drive execution
  • Define clear, measurable milestones for research initiatives; monitor progress with data-driven metrics; communicate regularly with senior leadership
  • Contribute to and maintain responsible AI practices including model fairness, explainability, safety guardrails, and bias monitoring for production ML and LLM systems
  • Contribute to non-critical-path feature implementation, bug fixing, and technical design (no more than 25% of your time)

Build Expel's external voice
  • Partner with Marketing to develop blogs, papers, and talks on how Expel thinks about, applies, measures, and validates the use of ML, generative AI, and LLMs
  • Present internally and externally to both technical and non-technical audiences
What you should bring with you
Leadership & collaboration
  • Proven track record leading and managing data science teams (4+ years), with strong coaching and mentoring skills
  • Ability to build trust quickly and sustain strong relationships with PM, Customer Success, and engineering peers
  • Excellent project management, problem solving, and multitasking skills across remote/hybrid teams
  • You align with our Engineering Principles

Technical depth
  • Strong hands-on experience designing, deploying, and scaling ML solutions in AWS and/or GCP
  • Extensive Python experience, including transitioning exploratory models from Jupyter into production-ready code
  • Proficiency in Python data science frameworks (e.g., TensorFlow, PyTorch, Pandas, Scikit-Learn); expert-level depth in at least one area
  • Hands-on experience with generative AI and LLM frameworks such as LangChain, LlamaIndex, or the OpenAI/Anthropic SDKs
  • Experience with RAG pipelines, prompt engineering, and LLM evaluation
  • Familiarity with MLOps platforms (Vertex AI, SageMaker, or MLflow) and vector databases (Pinecone, Weaviate, pgvector)
  • Experience building or overseeing agentic AI workflows and multi-agent orchestration, ideally within AWS using Amazon Bedrock and AgentCore
  • Solid software engineering practices: Git, CI/CD, code review, testable code

Education
  • Educational background in AI, machine learning, statistics, and/or graph theory; Bachelor's degree in Math or Computer Science preferred or a compelling story
  • 6+ years of professional data science experience, including 4+ years in a team leadership role
Additional Notes
The base salary range for this role is a base salary between $151,000 USD and $219,000 USD + bonus eligibility and equity.
We believe in paying transparently and equitably. Your salary will ultimately be based on factors such as your experience, skills, team equity, and market data. You'll also be eligible for unlimited PTO (which we model and encourage), work location flexibility, up to 24 weeks of parental leave, and really excellent health benefits.
We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
We're only hiring those authorized to work in the United States.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Salary Range
$151,000-$219,000 USD

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