ZipRecruiter

Log In

2

Remote Data Science Jobs in Spring, TX (NOW HIRING)

Mondo

BA

Houston, TX · Remote

$44 - $68/hr

Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month ... Bachelor's degree in Data Science, Computer Science, Information Systems, or related field * Proven ...

HealthCorps

Monitoring & Evaluation Intern

Houston, TX · Remote

Current undergraduate or graduate student studying public health, data science, social sciences, or ... Ability to work independently in a remote environment and stay on top of assigned tasks. Preferred ...

YO AI Labs

AI Consulting Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

KBR

HRP Data Lead

Houston, TX · On-site +1

Provide scientific guidance and input to the Program concerning budgetary requirements and funding ... remote. Customer-required travel will be coordinated with HRP leadership. Why KBR At KBR, we are ...

YO AI Labs

Medical Writer - Remote

Houston, TX · Remote

$50 - $90/hr

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

New Math Data

Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

Develop high-throughput data pipelines using Spark, Kafka, and Kinesis for predictive maintenance ... science or related field from an accredited institution. * Telecommuting or remote work is ...

New Math Data

Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

Develop high-throughput data pipelines using Spark, Kafka, and Kinesis for predictive maintenance ... science or related field from an accredited institution. * Telecommuting or remote work is ...

Phillips 66

Manager, Procurement Analytics

Houston, TX · On-site +1

Experience partnering with local and remote business, IT, data engineering, data science, or analytics resources to deliver practical insights * Experience delivering analytics work through Agile ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Spring, TX

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Spring, TX?

The most popular types of Data Science jobs in Spring, TX are:

What are popular job titles related to Remote Data Science jobs in Spring, TX?

For Remote Data Science jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Spring, TX look for?

The top searched job categories for Remote Data Science jobs in Spring, TX are:

What cities near Spring, TX are hiring for Remote Data Science jobs?

Cities near Spring, TX with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Program Analytics & Data Visualization Specialist

Guidehouse

Houston, TX • On-site, Remote

$80K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Design, develop, and maintain interactive dashboards, reports, and visual analytics solutions using Microsoft Power BI.

  • Gather and translate business, operational, programmatic, and stakeholder requirements into actionable analytics and reporting products.

  • Develop and optimize Power BI data models, semantic models, DAX measures, calculated columns, and performance-tuned reporting solutions.

  • Design and implement data transformation workflows using Power Query (M) and related extract, transform, and load (ETL/ELT) processes.

  • Conduct statistical, trend, and quantitative analyses to support program evaluation, operational decision-making, performance measurement, and reporting requirements.

  • Perform geospatial analysis and geographic visualization using Power BI mapping capabilities, GIS tools, and spatial datasets.

  • Analyze, profile, validate, and monitor data quality to ensure reporting accuracy, consistency, and reliability.

  • Collaborate with program leaders, technical teams, data stewards, and client stakeholders to define metrics, KPIs, reporting standards, and analytical approaches.

  • Support public health, healthcare, government, or mission-focused analytics initiatives through data-driven insights and visualization.

  • Leverage emerging artificial intelligence and machine learning capabilities to enhance analytics workflows, reporting efficiency, data discovery, and decision support.

  • Develop technical documentation, data dictionaries, dashboard user guides, and reporting methodologies.

  • Present findings, recommendations, and analytical insights to technical and non-technical audiences.


What You Will Need:

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree.

  • FIVE (5) or more years of experience in business intelligence, analytics, reporting, data visualization, public health informatics, healthcare analytics, or a related field.

  • Experience designing, developing, and administering enterprise Power BI solutions.

  • Experience with:

    • Power BI Desktop

    • Power BI Service

    • DAX optimization and performance tuning

    • Power Query (M)

    • Data modeling and dimensional design

    • Row-level security

    • Deployment pipelines

    • Data gateway configuration

    • Enterprise reporting architecture

  • Experience leading stakeholder engagement sessions and translating business objectives into scalable analytical solutions.

  • Experience implementing data governance processes, reporting standards, and data quality frameworks.

  • Experience mentoring junior analysts and supporting analytical delivery teams.

  • Experience performing advanced statistical analyses and developing executive-level reporting products.


What Would Be Nice To Have:

  • Master's degree in Public Health, Health Informatics, Data Science, Analytics, Statistics, Computer Science, Information Systems, Geography/GIS, or a related field.

  • Demonstrated understanding of AI-enabled analytics, generative AI, machine learning concepts, or intelligent automation.

  • Experience supporting federal health, public health, healthcare, or government programs.

  • Experience with public health informatics standards, data exchange, surveillance, epidemiology, or population health analytics.

  • Experience with GIS and geospatial analytics tools such as ArcGIS, ArcGIS Online, or QGIS.

  • Experience with Python, R, SAS, SPSS, or other analytical/statistical programming tools.

  • Experience with cloud-based data and analytics platforms including: Databricks, Snowflake, Palantir Foundry, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric

  • Familiarity or experience with Power Platform technologies including: Power Apps, Power Automate, Power Pages, Power Virtual Agents

  • Familiarity with data integration, API connectivity, and enterprise data architectures.

  • Knowledge of responsible AI, AI governance, AI literacy, or AI implementation practices.

  • Microsoft certifications such as: Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Data Engineer Associate

  • Experience supporting Agile project delivery environments.

The annual salary range for this position is $80,000.00-$133,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

What Guidehouse employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply