Remote Data Consultant Jobs
Remote data consultant jobs are open across the U.S. at remote-first firms, distributed product teams, and enterprise organizations in tech, finance, and healthcare. Companies actively hiring remote data consultants right now include ZS Associates, AECOM, and Ramboll. Find a role that fits below and apply directly.
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ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
:
ZS’s Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices, bringing hands-on scientific expertise to enhance both technology and strategy initiatives. As a Venture within ZS, we continuously develop, test, and refine new approaches to maximize impact for our clients and the patients they serve. This unique position enables us to combine agility and innovation with the resources and knowledge of ZS’s 13,000+ global team. ZS is expanding the Discovery Venture and seeking driven, curious, and creative experts to help shape the practice area, collaborate across ZS’s R&D teams, and deliver excellent outcomes for clients.
- Design, build, and deploy POCs and production-grade analytical and GenAI applications that support scientific decision-making in pharmaceutical research and development.
- Develop solutions that help scientists address use cases such as drug repurposing, target identification, gene prioritization, and other research-focused applications.
- Support the design and development of data foundations for pharmaceutical organizations, including databases, data warehouses, and data engineering solutions.
- Write high-quality Python / SQL code and contribute directly to the development of scalable applications, data pipelines, and analytical solutions.
- Supervise and provide technical guidance to developers, helping ensure solutions are robust, maintainable, and production ready.
- Apply quantitative methods, statistical thinking, and computational approaches to complex scientific and biological problems.
- Work closely with scientists, data engineers, developers, and other stakeholders to translate scientific requirements into technical solutions.
- Communicate fluently with scientific stakeholders and translate biological concepts and research needs into clear technical requirements.
- Contribute to the evaluation of emerging technologies, GenAI capabilities, and data approaches that can improve scientific workflows and decision-making.
What you’ll bring:
- A PhD or Master’s degree in a quantitative or scientific discipline such as applied mathematics, physics, computer science, biophysics, computational biology, bioinformatics, engineering, or a related field.
- Sufficient fluency in biology and life sciences to engage credibly with scientists and understand scientific requirements, particularly within pharmaceutical research and development.
- Strong quantitative and analytical training with the ability to apply structured problem-solving to complex scientific and technical challenges.
- Strong Python programming skills and experience building solutions that operate in production environments.
- At least 2.5 years of experience developing production-grade applications, analytical tools, data products, or data engineering solutions.
- Experience reviewing, supervising, or providing technical direction to developers or coding teams.
- Experience working with GenAI or machine learning applications, ideally within scientific or pharmaceutical use cases.
- Familiarity with data engineering concepts, including databases, data warehouses, data pipelines, and data architecture.
- Ability to translate scientific and business requirements into scalable technical solutions.
- Strong communication and stakeholder management skills, with the ability to work across scientific, technical, and business teams.
- Fluency in English
- Client-first mentality
- Intense work ethic
- Collaborative spirit and problem-solving approach
Additional Skills:
- Experience in pharmaceutical, biotech, or life sciences environments.
- Experience developing applications that support scientists or R&D teams.
- Exposure to drug discovery use cases such as drug repurposing, target identification, or gene prioritization.
- Experience with cloud platforms, modern data environments, or enterprise data infrastructure.
- A background in data engineering (PySpark, data quality ) and experience with one of the modern data & AI platforms (e.g., Databricks, Snowflake) is highly relevant for this role.
:
How you’ll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
:
ZS’s Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices, bringing hands-on scientific expertise to enhance both technology and strategy initiatives. As a Venture within ZS, we continuously develop, test, and refine new approaches to maximize impact for our clients and the patients they serve. This unique position enables us to combine agility and innovation with the resources and knowledge of ZS’s 13,000+ global team. ZS is expanding the Discovery Venture and seeking driven, curious, and creative experts to help shape the practice area, collaborate across ZS’s R&D teams, and deliver excellent outcomes for clients.
- Design, build, and deploy POCs and production-grade analytical and GenAI applications that support scientific decision-making in pharmaceutical research and development.
- Develop solutions that help scientists address use cases such as drug repurposing, target identification, gene prioritization, and other research-focused applications.
- Support the design and development of data foundations for pharmaceutical organizations, including databases, data warehouses, and data engineering solutions.
- Write high-quality Python / SQL code and contribute directly to the development of scalable applications, data pipelines, and analytical solutions.
- Supervise and provide technical guidance to developers, helping ensure solutions are robust, maintainable, and production ready.
- Apply quantitative methods, statistical thinking, and computational approaches to complex scientific and biological problems.
- Work closely with scientists, data engineers, developers, and other stakeholders to translate scientific requirements into technical solutions.
- Communicate fluently with scientific stakeholders and translate biological concepts and research needs into clear technical requirements.
- Contribute to the evaluation of emerging technologies, GenAI capabilities, and data approaches that can improve scientific workflows and decision-making.
What you’ll bring:
- A PhD or Master’s degree in a quantitative or scientific discipline such as applied mathematics, physics, computer science, biophysics, computational biology, bioinformatics, engineering, or a related field.
- Sufficient fluency in biology and life sciences to engage credibly with scientists and understand scientific requirements, particularly within pharmaceutical research and development.
- Strong quantitative and analytical training with the ability to apply structured problem-solving to complex scientific and technical challenges.
- Strong Python programming skills and experience building solutions that operate in production environments.
- At least 2.5 years of experience developing production-grade applications, analytical tools, data products, or data engineering solutions.
- Experience reviewing, supervising, or providing technical direction to developers or coding teams.
- Experience working with GenAI or machine learning applications, ideally within scientific or pharmaceutical use cases.
- Familiarity with data engineering concepts, including databases, data warehouses, data pipelines, and data architecture.
- Ability to translate scientific and business requirements into scalable technical solutions.
- Strong communication and stakeholder management skills, with the ability to work across scientific, technical, and business teams.
- Fluency in English
- Client-first mentality
- Intense work ethic
- Collaborative spirit and problem-solving approach
Additional Skills:
- Experience in pharmaceutical, biotech, or life sciences environments.
- Experience developing applications that support scientists or R&D teams.
- Exposure to drug discovery use cases such as drug repurposing, target identification, or gene prioritization.
- Experience with cloud platforms, modern data environments, or enterprise data infrastructure.
- A background in data engineering (PySpark, data quality ) and experience with one of the modern data & AI platforms (e.g., Databricks, Snowflake) is highly relevant for this role.
:
How you’ll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
See All 72 Remote Data Consultant Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Consultant JobsRemote Data Consultant Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote data consultant jobs.
- Proficiency in SQL and at least one major BI tool such as Tableau or Power BI
- Experience translating business questions into data requirements and actionable recommendations
- Hands-on work with Python or R for data analysis, modeling, or automation
- Bachelor's degree in a quantitative field such as statistics, computer science, or economics
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or AWS Redshift
- Strong written and verbal communication skills for presenting findings to non-technical stakeholders
Tips for Your Remote Data Consultant Job Search
Build a portfolio of async-ready work samples
Remote employers can't watch you work, so your portfolio does the convincing. Document past analyses, dashboards, or client deliverables with enough written context that a hiring manager can evaluate your approach and output without ever speaking to you.
Find remote data consultant openings in one place
Migrate Mate lists remote data consultant jobs from across the U.S. so you can search current openings, see which companies are actively hiring, and apply directly to the roles that match your skills and availability without sorting through unrelated listings.
Signal remote fluency in every application
Remote hiring managers screen for candidates who already operate asynchronously. Calling out specific tools you use for distributed collaboration, like Confluence, Notion, or Slack, and naming examples of projects you delivered without in-person contact strengthens your fit for remote-first teams.
Target companies with distributed data teams
Remote-first technology companies and enterprise organizations with geographically distributed analytics functions hire data consultants remotely on a recurring basis. Focusing your search on firms that already structure data work across time zones shortens your path to a genuine remote offer.
Remote Data Consultant Jobs: Frequently Asked Questions
How do I get a remote data consultant job?
Remote data consultant roles go to candidates who can demonstrate self-direction, clear async written communication, and the ability to deliver structured analysis without in-person oversight. Remote-first companies and distributed teams screen heavily for proficiency in tools like SQL, Python, Tableau, or Power BI. A portfolio of past projects, case studies, or documented client outcomes gives your application a concrete edge over candidates who can only cite job titles.
Which companies hire remote data consultants?
Companies hiring remote data consultants right now include ZS Associates, AECOM, and Ramboll, based on current remote listings on Migrate Mate as of November 2026. Remote data consultant roles concentrate at remote-first technology firms, distributed financial services companies, and healthcare organizations that run analytics work across geographically separated teams.
Can you get a remote data consultant job with no experience?
Yes, but remote entry-level data consultant roles are harder to land because employers expect you to work independently from day one without on-site support. Smaller remote-first startups and project-based consultancies are the most likely to hire early-career candidates. Showing a documented analysis project, a relevant certification, or a contribution to an open dataset can substitute for formal experience and demonstrate the self-sufficiency remote employers require.
Do you need a degree for remote data consultant jobs?
Not always. Many remote employers weigh demonstrated skills, a portfolio of completed analyses, and measurable client or project outcomes over formal credentials. That said, roles at larger enterprises or in regulated industries like finance and healthcare often list a bachelor's degree in a quantitative field as a baseline. Certifications in data platforms, cloud tools, or business intelligence software can offset the absence of a degree for project-based or startup roles.
Which industries hire the most remote data consultants?
Most remote data consultant openings sit in Technology & Software and Consulting & Professional Services, per current remote listings on Migrate Mate as of November 2026. Those sectors hire data consultants remotely because their analytics and reporting functions operate across distributed teams that need structured data work delivered asynchronously without a centralized office.
See All 72 Remote Data Consultant Jobs
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