Remote Data Management Associate Jobs
Remote Data Management Associate jobs are in active demand across the U.S., with remote-first firms and distributed enterprise teams regularly posting openings in sectors like healthcare, finance, and technology. Employers hiring right now include AECOM, Alvarez & Marsal, and Olsson. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 5 of 2,172+ Remote Data Management Associate jobs
JOB TITLE: Senior Data Scientist
LOCATION: Remote
DURATION: Permanent/Direct Hire
RATE RANGE: $125k - $150k
Position Summary:
You will play a leading role in improving data and analytics products and in creating new products and capabilities. This could include adding new data sources, improving our entity resolution and attribution algorithms, and turning one-off client analyses into dashboard features available to every client. It could also mean enhancing visualizations, building and automating prospecting and media mix models, and developing automated recommendations that improve client marketing and application flows. You may design algorithms that optimize ad targeting, ad creative, and website experience.
Responsibilities:
- Invent new solutions for our clients. You will model and optimize the connections and causal relationships that run from an ad's creative all the way to a customer's lifetime value.
- Take models from concept to production, then monitor and improve them as client data and ad platforms change.
- Work with large, multi-source datasets including:
- Real time event data from our data collection tag.
- System of record data from our financial institution clients.
- Click and spend data from our clients’ advertising platforms (Google, Bing, Meta, TikTok, ChatGPT, others).
- Analytics metadata from other client systems including Google Analytics and Hubspot.
- Review model outputs and metrics critically, and catch results that don't add up: unexpected shifts, implausible values, data gaps, leakage or broken assumptions. Then fix or improve the data, logic or models.
- Build, test and evaluate machine learning models for attribution, prediction, and optimization.
- Write clean, reproducible, production-quality Python that teammates can read and maintain.
- Explain findings clearly to technical and non-technical colleagues and clients.
- Learn marketing analytics methods from senior teammates and apply them to real client problems.
QUALIFICATIONS
- Problem Solving & Critical Thinking: Ability to question results, test assumptions, and find out why, with strong attention to detail in data, code, and conclusions.
- Overall Professional Experience: 5+ years of professional experience in data science, quantitative analytics, or machine learning, with a strong track record of independently delivering production-grade solutions.
- Machine Learning & Production Experience: 3–5+ years of hands-on experience designing, training, and monitoring machine learning models (e.g., regression, boosted trees, neural networks) in live production environments.
- Programming & Data Proficiency: 3–5+ years of proficiency in Python data processing and Linux, with demonstrated experience processing and analyzing large real-world datasets.
- Business Impact & Cross-Functional Delivery: 3+ years of proven success aligning technical deliverables with business goals, managing project timelines independently, and communicating complex findings effectively to executive stakeholders and clients.
PREFERRED QUALIFICATIONS:
- Experience with marketing data and ad platforms such as Google Ads and Meta Ads.
- Experience in the financial industry.
- Software engineering experience: version control (Git), testing, code review, QA, and deploying models or dashboards to production.
- Research experience.
Education:
- Master’s or Ph.D. in a quantitative discipline (Data Science, Computer Science, Engineering, Statistics, Mathematics, or a natural science), or a Bachelor's degree with 7+ years of relevant applied experience.
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
FAIR CHANCE POLICY:
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
JOB TITLE: Senior Data Scientist
LOCATION: Remote
DURATION: Permanent/Direct Hire
RATE RANGE: $125k - $150k
Position Summary:
You will play a leading role in improving data and analytics products and in creating new products and capabilities. This could include adding new data sources, improving our entity resolution and attribution algorithms, and turning one-off client analyses into dashboard features available to every client. It could also mean enhancing visualizations, building and automating prospecting and media mix models, and developing automated recommendations that improve client marketing and application flows. You may design algorithms that optimize ad targeting, ad creative, and website experience.
Responsibilities:
- Invent new solutions for our clients. You will model and optimize the connections and causal relationships that run from an ad's creative all the way to a customer's lifetime value.
- Take models from concept to production, then monitor and improve them as client data and ad platforms change.
- Work with large, multi-source datasets including:
- Real time event data from our data collection tag.
- System of record data from our financial institution clients.
- Click and spend data from our clients’ advertising platforms (Google, Bing, Meta, TikTok, ChatGPT, others).
- Analytics metadata from other client systems including Google Analytics and Hubspot.
- Review model outputs and metrics critically, and catch results that don't add up: unexpected shifts, implausible values, data gaps, leakage or broken assumptions. Then fix or improve the data, logic or models.
- Build, test and evaluate machine learning models for attribution, prediction, and optimization.
- Write clean, reproducible, production-quality Python that teammates can read and maintain.
- Explain findings clearly to technical and non-technical colleagues and clients.
- Learn marketing analytics methods from senior teammates and apply them to real client problems.
QUALIFICATIONS
- Problem Solving & Critical Thinking: Ability to question results, test assumptions, and find out why, with strong attention to detail in data, code, and conclusions.
- Overall Professional Experience: 5+ years of professional experience in data science, quantitative analytics, or machine learning, with a strong track record of independently delivering production-grade solutions.
- Machine Learning & Production Experience: 3–5+ years of hands-on experience designing, training, and monitoring machine learning models (e.g., regression, boosted trees, neural networks) in live production environments.
- Programming & Data Proficiency: 3–5+ years of proficiency in Python data processing and Linux, with demonstrated experience processing and analyzing large real-world datasets.
- Business Impact & Cross-Functional Delivery: 3+ years of proven success aligning technical deliverables with business goals, managing project timelines independently, and communicating complex findings effectively to executive stakeholders and clients.
PREFERRED QUALIFICATIONS:
- Experience with marketing data and ad platforms such as Google Ads and Meta Ads.
- Experience in the financial industry.
- Software engineering experience: version control (Git), testing, code review, QA, and deploying models or dashboards to production.
- Research experience.
Education:
- Master’s or Ph.D. in a quantitative discipline (Data Science, Computer Science, Engineering, Statistics, Mathematics, or a natural science), or a Bachelor's degree with 7+ years of relevant applied experience.
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
FAIR CHANCE POLICY:
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
See All 2,172+ Remote Data Management Associate Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Data Management Associate Job Market
Who's Hiring
- AECOM46
- Alvarez & Marsal30
- Olsson20
- Lockheed Martin17
- ServiceNow15
Top Industries Hiring
- Technology & Software135
- Consulting & Professional Services67
- Insurance33
- Investment & Asset Management33
- Accounting & Auditing30
What Employers Look For
The qualifications that appear most often in remote data management associate jobs.
- Proficiency in SQL for querying and maintaining relational databases
- Experience with data quality tools and data validation processes
- Familiarity with ETL pipelines and data integration workflows
- Bachelor's degree in information management, computer science, or a related field
- Knowledge of data governance frameworks and metadata management practices
- Experience with master data management platforms such as Informatica or SAP MDG
Tips for Your Remote Data Management Associate Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data management associate openings from across the U.S. in one place. Check it regularly and apply to roles that match your skills as soon as they post, since remote openings attract applicants from every state and fill faster than local ones.
Show async communication skills concretely
Remote data management associates handle data questions, discrepancy reports, and stakeholder updates entirely through written channels. Include examples in your resume or cover letter of documentation you've written, issues you've resolved over email, or processes you've improved through clear written handoffs.
Demonstrate proficiency in remote data tools
Remote employers screen for fluency in SQL, Excel or Google Sheets, and data governance or master data management platforms. Name the specific tools you've used in your resume, and prioritize roles where your existing tool set matches the job requirements directly.
Build a sample portfolio of data work
If your previous work isn't publicly shareable, create a small personal project: clean a public dataset, document the process, and share the output. Remote hiring managers for data management roles want evidence you can work accurately and independently, and a documented sample fills that gap fast.
Remote Data Management Associate Jobs: Frequently Asked Questions
How do I get a remote data management associate job?
Target companies with distributed data teams or remote-first cultures, since they're built to onboard and manage data associates without in-person oversight. Remote employers screen heavily for self-direction, clear written communication, and proficiency in tools like SQL, Excel, or data governance platforms. Demonstrating async collaboration skills and showing clean, documented work samples in your application gives you a concrete edge over candidates with similar credentials.
Which companies hire remote data management associates?
Employers currently hiring remote data management associates include AECOM, Alvarez & Marsal, and Olsson, per current remote listings on Migrate Mate as of November 2026. Remote openings for this role concentrate at remote-first technology firms, distributed healthcare organizations, and financial services companies with large data operations spread across multiple locations.
Can you get a remote data management associate job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to manage your own workflow from day one without in-person guidance. Remote-first SaaS companies and smaller distributed teams tend to be more open to entry-level candidates. Showing a personal data project, a relevant certification, or coursework in data quality and database management can substitute meaningfully for formal job history.
Do you need a degree for remote data management associate jobs?
Not always. Many remote employers care more about demonstrated skills in data entry, data quality, and database tools than a specific degree. Certifications in data management, hands-on project work, and a clean record of accurate, organized output carry real weight. A degree in information systems, business, or a related field helps, but it rarely overrides strong practical evidence of the core skills.
Which industries hire the most remote data management associates?
The sectors hiring the most remote data management associates are Technology & Software, Consulting & Professional Services, and Insurance, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed teams handling large, geographically dispersed data sets, which makes remote data management associates a practical and common staffing choice.
See All 2,172+ Remote Data Management Associate Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs