Remote Data Science Analyst Jobs
Remote Data Science Analyst jobs are in active demand across the U.S., with remote-first firms and distributed teams hiring across technology, finance, healthcare, and retail analytics. Employers posting remote roles right now include ZS Associates, New York City Department of Health and Mental Hygiene, and Honor. Find a role that fits below and apply directly.
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Showing 5 of 70+ Remote Data Science Analyst jobs
About AllTrails
AllTrails is the app for exploring the outdoors. We help people spend more time outside by connecting them to their next adventure. Home to the world’s largest outdoor community, with members and trails around the globe, you can find AllTrails in the Apple App Store, Google Play Store, and at alltrails.com. Every day, our team works to get more people outside and help our members have better experiences on the trail. We lead with our values—positivity, innovation, humility, adaptability, inclusivity, and stewardship—in everything we do. Join us! This is a U.S. based remote position. While this role does not require in-person attendance, we have a strong preference for candidates based in or near one of these cities: San Francisco CA, Portland OR, Seattle WA, Denver CO, and New York NY. Being in one of these cities creates opportunities to connect with teammates through Trail Days, co-working sessions, and local gatherings while still having the flexibility to work remotely. San Francisco employees are highly encouraged to come to the office one day per week.
About The Role
Reporting to the Director of Engineering, Maps & Data, this role will lead the AllTrails’ Data Science & Engineering team, a small and centralized engineering function that cross-functionally supports the business across product pods and partner teams including: data analytics, finance, and marketing. The team’s scope spans scalable data infrastructure, data governance, reliability, compliance, and the development and productionization of machine learning, AI, and algorithmic solutions that power internal operations and member-facing product experiences.
Due to high candidate volume and to ensure our hiring team has sufficient time to give every application the attention it deserves, we have set a closing date of August 20th for this position.
What you'll be doing
Team Leadership & People Management
- Manage & Grow the Team: Lead, hire, and coach a team of data engineers and applied data scientists while fostering team health, professional development, and high performance through active coaching and performance management.
Strategic Business Partnership & AI Strategy
- Stakeholder Alignment: Partner with cross-functional leaders to translate business needs into technical requirements, prioritize initiatives, and balance long-term platform investments with near-term delivery goals.
- Domain & AI Innovation: Serve as a key thought partner on leveraging data, AI, and automation to enhance AllTrails' internal productivity, trail content, map quality, and member personalization experiences.
Data Platform & Engineering Execution
- Pipeline & ML Architecture: Drive the architecture and delivery of scalable batch and streaming pipelines, while scaling the productionization of ML models and algorithmic systems into dependable engineering solutions.
- System Operations & Reliability: Oversee orchestration, transformation, alerting, and data flow across the organization—troubleshooting complex performance bottlenecks and system failures to ensure high system uptime.
Data Governance, Democratization & Platform Operations
- Governance & Self-Service: Champion data reliability, quality, privacy, compliance, and cost efficiency while building tools for data cataloging, documentation, and self-service to democratize data assets.
- Velocity & Continuous Improvement: Create organizational leverage by improving time-to-insight, debugging speed, and deployment velocity, while continuously evaluating new tools and technologies to elevate data capabilities.
What You Bring
Team & People Leadership
- Leadership Experience: 5+ years in data engineering with 3+ years managing data engineering, machine learning, and data science teams with a focus on coaching senior ICs, career development, and building an inclusive, accountable team culture.
- Working Style & Values: An adaptable, self-motivated leader who thrives in fast-paced, ambiguous environments—balancing strategic vision with hands-on technical guidance, humility, empathy, and a passion for the outdoors.
Technical Architecture & Infrastructure
- Platform & Governance: Hands-on experience managing GCP data infrastructure, enforcing data governance, and maintaining production-grade data access patterns, storage, caching, and optimization standards.
- Modern Data Stack: Extensive proficiency in transforming high-volume datasets in columnar SQL warehouses (BigQuery preferred, or Snowflake) using ELT tools (Dataform, dbt) and orchestrators like Apache Airflow.
- Pipeline & Processing: Proven expertise designing complex SQL/Python pipelines using parallelized processing frameworks (Dataflow, Spark, or similar) and core data modeling techniques (dimensional, star schema).
Engineering Practices & AI/ML Ops
- DevOps & SDLC: Deep familiarity with software engineering best practices, including Docker/Kubernetes, CI/CD pipelines, monitoring/observability tools (Datadog, New Relic, etc.), code reviews, and monthly on-call rotation.
- Applied AI/ML: Track record of guiding teams through the full ML lifecycle (MLOps) to support applied use cases like recommendation, ranking, personalization, and classification engines.
Stakeholder Management & Execution
- Cross-Functional Ownership: Skilled at leading across both platform foundations and applied data products, with the business judgment to prioritize competing stakeholder needs.
- End-to-End Delivery: Proven ability to translate complex business requirements into technical specs, collaborating effectively with stakeholders to own projects from inception to completion.
Bonus Points
- Experience working with geospatial data, maps, tiling, graph databases, and/or routing
- Experience working in a multi-cloud environment (GCP + AWS)
- Experience working at a B2C company
- Skilled at managing infrastructure as code (e.g. Terraform)
Perks & Benefits
- Competitive and equitable compensation, including ownership through equity and performance-based bonuses
- Comprehensive health, dental, and vision coverage to support your physical and mental well-being
- Unlimited PTO in addition to company holidays
- Dedicated time once a month to test and improve our product through company-wide no-meeting days
- Fully paid parental leave to birthing and non-birthing parents
- 401k Match & access to financial wellness resources through Origin
- Remote work stipend to help you design a comfortable and productive home office
- Annual learning stipend to invest in your long-term professional growth and skills
- Exclusive discounts on our subscriptions and merchandise for you and your friends & family
- An authentic investment in you as a human being and a professional—we value your identity as much as your output
Nature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive.
Offers of employment are contingent upon the successful completion of a background check. AllTrails will consider all qualified applicants, including those with arrest and conviction records, in a manner consistent with all applicable laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. AllTrails participates in the E-Verify program for all remote locations.
By submitting my application, I acknowledge and agree to AllTrails' Job Applicant Privacy Notice. All official recruiting communications from AllTrails will come from an name@alltrails.com email address. Please review sender details carefully, and do not engage with anyone asking for payment or sensitive financial information as part of the hiring process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
This range represents our good faith estimate for a successful candidate’s starting base salary. Final offers are determined by a blend of factors including specialized skills, experience, and relevant credentials. In addition to base pay, our total rewards package includes an equity stake in the company and a performance-based bonus program.
About AllTrails
AllTrails is the app for exploring the outdoors. We help people spend more time outside by connecting them to their next adventure. Home to the world’s largest outdoor community, with members and trails around the globe, you can find AllTrails in the Apple App Store, Google Play Store, and at alltrails.com. Every day, our team works to get more people outside and help our members have better experiences on the trail. We lead with our values—positivity, innovation, humility, adaptability, inclusivity, and stewardship—in everything we do. Join us! This is a U.S. based remote position. While this role does not require in-person attendance, we have a strong preference for candidates based in or near one of these cities: San Francisco CA, Portland OR, Seattle WA, Denver CO, and New York NY. Being in one of these cities creates opportunities to connect with teammates through Trail Days, co-working sessions, and local gatherings while still having the flexibility to work remotely. San Francisco employees are highly encouraged to come to the office one day per week.
About The Role
Reporting to the Director of Engineering, Maps & Data, this role will lead the AllTrails’ Data Science & Engineering team, a small and centralized engineering function that cross-functionally supports the business across product pods and partner teams including: data analytics, finance, and marketing. The team’s scope spans scalable data infrastructure, data governance, reliability, compliance, and the development and productionization of machine learning, AI, and algorithmic solutions that power internal operations and member-facing product experiences.
Due to high candidate volume and to ensure our hiring team has sufficient time to give every application the attention it deserves, we have set a closing date of August 20th for this position.
What you'll be doing
Team Leadership & People Management
- Manage & Grow the Team: Lead, hire, and coach a team of data engineers and applied data scientists while fostering team health, professional development, and high performance through active coaching and performance management.
Strategic Business Partnership & AI Strategy
- Stakeholder Alignment: Partner with cross-functional leaders to translate business needs into technical requirements, prioritize initiatives, and balance long-term platform investments with near-term delivery goals.
- Domain & AI Innovation: Serve as a key thought partner on leveraging data, AI, and automation to enhance AllTrails' internal productivity, trail content, map quality, and member personalization experiences.
Data Platform & Engineering Execution
- Pipeline & ML Architecture: Drive the architecture and delivery of scalable batch and streaming pipelines, while scaling the productionization of ML models and algorithmic systems into dependable engineering solutions.
- System Operations & Reliability: Oversee orchestration, transformation, alerting, and data flow across the organization—troubleshooting complex performance bottlenecks and system failures to ensure high system uptime.
Data Governance, Democratization & Platform Operations
- Governance & Self-Service: Champion data reliability, quality, privacy, compliance, and cost efficiency while building tools for data cataloging, documentation, and self-service to democratize data assets.
- Velocity & Continuous Improvement: Create organizational leverage by improving time-to-insight, debugging speed, and deployment velocity, while continuously evaluating new tools and technologies to elevate data capabilities.
What You Bring
Team & People Leadership
- Leadership Experience: 5+ years in data engineering with 3+ years managing data engineering, machine learning, and data science teams with a focus on coaching senior ICs, career development, and building an inclusive, accountable team culture.
- Working Style & Values: An adaptable, self-motivated leader who thrives in fast-paced, ambiguous environments—balancing strategic vision with hands-on technical guidance, humility, empathy, and a passion for the outdoors.
Technical Architecture & Infrastructure
- Platform & Governance: Hands-on experience managing GCP data infrastructure, enforcing data governance, and maintaining production-grade data access patterns, storage, caching, and optimization standards.
- Modern Data Stack: Extensive proficiency in transforming high-volume datasets in columnar SQL warehouses (BigQuery preferred, or Snowflake) using ELT tools (Dataform, dbt) and orchestrators like Apache Airflow.
- Pipeline & Processing: Proven expertise designing complex SQL/Python pipelines using parallelized processing frameworks (Dataflow, Spark, or similar) and core data modeling techniques (dimensional, star schema).
Engineering Practices & AI/ML Ops
- DevOps & SDLC: Deep familiarity with software engineering best practices, including Docker/Kubernetes, CI/CD pipelines, monitoring/observability tools (Datadog, New Relic, etc.), code reviews, and monthly on-call rotation.
- Applied AI/ML: Track record of guiding teams through the full ML lifecycle (MLOps) to support applied use cases like recommendation, ranking, personalization, and classification engines.
Stakeholder Management & Execution
- Cross-Functional Ownership: Skilled at leading across both platform foundations and applied data products, with the business judgment to prioritize competing stakeholder needs.
- End-to-End Delivery: Proven ability to translate complex business requirements into technical specs, collaborating effectively with stakeholders to own projects from inception to completion.
Bonus Points
- Experience working with geospatial data, maps, tiling, graph databases, and/or routing
- Experience working in a multi-cloud environment (GCP + AWS)
- Experience working at a B2C company
- Skilled at managing infrastructure as code (e.g. Terraform)
Perks & Benefits
- Competitive and equitable compensation, including ownership through equity and performance-based bonuses
- Comprehensive health, dental, and vision coverage to support your physical and mental well-being
- Unlimited PTO in addition to company holidays
- Dedicated time once a month to test and improve our product through company-wide no-meeting days
- Fully paid parental leave to birthing and non-birthing parents
- 401k Match & access to financial wellness resources through Origin
- Remote work stipend to help you design a comfortable and productive home office
- Annual learning stipend to invest in your long-term professional growth and skills
- Exclusive discounts on our subscriptions and merchandise for you and your friends & family
- An authentic investment in you as a human being and a professional—we value your identity as much as your output
Nature celebrates you just the way you are and so do we! At AllTrails we’re passionate about nurturing an inclusive workplace that values diversity. It’s no secret that companies that are diverse in background, age, gender identity, race, sexual orientation, physical or mental ability, ethnicity, and perspective are proven to be more successful. We’re focused on creating an environment where everyone can do their best work and thrive.
Offers of employment are contingent upon the successful completion of a background check. AllTrails will consider all qualified applicants, including those with arrest and conviction records, in a manner consistent with all applicable laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. AllTrails participates in the E-Verify program for all remote locations.
By submitting my application, I acknowledge and agree to AllTrails' Job Applicant Privacy Notice. All official recruiting communications from AllTrails will come from an name@alltrails.com email address. Please review sender details carefully, and do not engage with anyone asking for payment or sensitive financial information as part of the hiring process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
This range represents our good faith estimate for a successful candidate’s starting base salary. Final offers are determined by a blend of factors including specialized skills, experience, and relevant credentials. In addition to base pay, our total rewards package includes an equity stake in the company and a performance-based bonus program.
See All 70 Remote Data Science Analyst Jobs
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Find JobsRemote Data Science Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Retail
- Insurance
- Science & Research
What Employers Look For
The qualifications that appear most often in remote data science analyst jobs.
- Proficiency in Python or R for data analysis and statistical modeling
- Strong SQL skills for querying and manipulating large relational datasets
- Experience with data visualization tools such as Tableau or Power BI
- Bachelor's degree in statistics, computer science, mathematics, or a related field
- Familiarity with machine learning libraries such as scikit-learn or TensorFlow
- Experience communicating analytical findings clearly to non-technical stakeholders
Tips for Your Remote Data Science Analyst Job Search
Build a portfolio that proves async delivery
Remote employers want evidence you can take a vague question and return a clear, documented analysis without back-and-forth. Publish end-to-end projects on GitHub with a written narrative explaining your methodology and findings, not just code.
Signal remote readiness in every application
Remote hiring managers scan for clues that you've worked independently before. Call out async tools you've used, such as Notion, Confluence, or Jira, and mention any distributed team experience in your cover letter or work history, even from freelance or volunteer projects.
Apply early to remote roles that fit
Migrate Mate lists remote data science analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without bouncing between multiple sites.
Sharpen written communication for remote interviews
Remote data science analyst interviews often include a take-home case or async video screen before any live call. Practice writing up your analytical findings as short, executive-style summaries, because your written clarity is part of what remote teams are hiring for.
Remote Data Science Analyst Jobs: Frequently Asked Questions
How do I get a remote data science analyst job?
Remote data science analyst roles go to candidates who can demonstrate independent execution and clear written communication, because you won't have a manager walking the floor. Remote employers screen heavily for proficiency in Python or R, SQL, and data visualization tools like Tableau or Power BI. A portfolio of end-to-end projects, even from personal or open-source work, shows you can move from raw data to insight without hand-holding.
Which companies hire remote data science analysts?
Remote data science analyst roles are posted by ZS Associates, New York City Department of Health and Mental Hygiene, and Honor and others right now, based on current remote listings on Migrate Mate as of August 2026. The hiring mix includes remote-first technology firms, distributed fintech and healthtech companies, and enterprise retailers with centralized analytics teams that operate across time zones.
Can you get a remote data science analyst job with no experience?
Yes, but remote entry-level roles are harder to land than in-office equivalents because you're expected to manage your own workflow from day one. Remote-first startups and smaller analytics consultancies are the most open to entry-level candidates. A portfolio of self-directed projects, a Kaggle competition record, or a published notebook demonstrating real analysis gives hiring managers something concrete to evaluate in the absence of prior job titles.
Do you need a degree for remote data science analyst jobs?
Not always. Many remote employers care more about what you can do with data than where you studied. A degree in statistics, computer science, or a quantitative field is common among hired candidates, but remote hiring managers frequently weigh demonstrated skills, a strong project portfolio, and fluency with tools like Python, SQL, and cloud data platforms as heavily as formal credentials.
Which industries hire the most remote data science analysts?
Remote data science analyst roles concentrate in Technology & Software, Consulting & Professional Services, and Retail, based on current remote listings on Migrate Mate as of August 2026. Those sectors favor remote data science analysts because their data infrastructure is cloud-hosted and their analytics teams are built to collaborate asynchronously across distributed locations.
See All 70 Remote Data Science Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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