ZipRecruiter

Log In

2

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

Gainwell Technologies LLC

Business Data Engineer

Houston, TX · On-site +1

$72K - $104K/yr

Or a computer science major excited to see operations through a new lens? We're looking for someone ... Fully Remote Opportunity within the US * Required Travel 0-10% * Video cameras must be used during ...

LiteBridge

Data Engineer (Junior)

Houston, TX · Remote

Bachelors degree in Computer Science, Engineering, Mathematics, or related field. * At least 2 ... Flexible, remote work environment. * Placement with international clients upon certification.

Airswift

Software Engineer I

Houston, TX · On-site +1

Houston, TX (Hybrid - 80% Onsite / 20% Remote) Team: Gas & Power Benefits: Dental, Healthcare, ... The position has evolved from a data science focus into a software engineering-first role ...

Gainwell Technologies LLC

Senior Data Engineer

Houston, TX · Remote

$69K - $99K/yr

Work with data analysts, scientists, and business users to understand requirements and transform ... United States remote opportunity * Video cameras must be used during all interviews, as well as ...

Agilent

Field Application Scientist

Houston, TX · On-site +1

$105K - $175K/yr

Provide field-based & remote scientific engagement with customers in both pre/post-sales capacities ... use of data analysis software programs (such as ImageJ, CellProfiler, FlowJo, or similar)

Deloitte

GCP Manager

Houston, TX · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop ... Manage the full life cycle of machine learning projects, including data analysis and model ...

next page

Showing results 1-20

All JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Spring, TX

Remote Data Scientist information

See Spring, TX salary details

$33.4K

$109.2K

$174.9K

How much do remote data scientist jobs pay per year?

As of Jun 22, 2026, the average yearly pay for remote data scientist in Spring, TX is $109,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis.

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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging skills in programming, statistics, and domain knowledge to develop and refine AI systems. The demand for data scientists remains strong as organizations seek to extract insights and create value from complex data sets.

Can I get a remote job 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, statistical analysis, and tools like Python or R, along with good communication abilities. Job seekers should review specific job descriptions to confirm remote work options and requirements.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Spring, TX? The most popular types of Data Scientist jobs in Spring, TX are:
What are popular job titles related to Remote Data Scientist jobs in Spring, TX? For Remote Data Scientist jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Spring, TX look for? The top searched job categories for Remote Data Scientist jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data Scientist jobs? Cities near Spring, TX with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Spring, TX as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $109,224 per year, or $52.5 per hour.

Solution Architect- Customer Data and Martech

Teachercool

Katy, TX • On-site, Remote

Other

Posted 3 days ago

Job description

Job Description: Solution Architect – Customer Data & MarTech

Job Title: Solution Architect – Customer Data & MarTech
Experience: 10–15+ Years
Location: Flexible / Hybrid / Remote
Employment Type: Full-Time

Job Summary

We are seeking an experienced Solution Architect – Customer Data & MarTech to lead the design and implementation of enterprise-scale customer data and marketing technology solutions. The ideal candidate will have deep expertise in Customer Data Platforms (CDP), CRM, marketing automation, data integration, and cloud technologies. This role will partner with business, marketing, analytics, and engineering teams to build scalable, secure, and data-driven customer engagement platforms.

Key Responsibilities
  • Design end-to-end architecture for Customer Data and MarTech solutions.
  • Lead the implementation and integration of Customer Data Platforms (CDPs), CRM, marketing automation, and analytics platforms.
  • Architect customer 360 solutions by integrating customer data across multiple channels and systems.
  • Collaborate with business stakeholders to gather requirements and translate them into scalable technical solutions.
  • Design data pipelines and integration patterns using APIs, ETL/ELT, streaming, and event-driven architectures.
  • Define solution architecture, data models, security, governance, and integration standards.
  • Work closely with engineering teams throughout solution implementation.
  • Ensure scalability, performance, security, and compliance of MarTech platforms.
  • Support cloud migration and digital transformation initiatives.
  • Evaluate new technologies and provide architecture recommendations.
  • Mentor technical teams and participate in architecture reviews.
Required Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Information Technology, or related field.
  • 10+ years of IT experience with at least 4–5 years as a Solution Architect.
  • Strong experience implementing Customer Data and MarTech solutions.
  • Hands-on experience with Customer Data Platforms such as:
    • Adobe Real-Time CDP
    • Salesforce Data Cloud
    • Segment
    • Tealium
    • Treasure Data
    • mParticle
  • Experience with CRM platforms:
    • Salesforce
    • Microsoft Dynamics 365
    • HubSpot
  • Experience with Marketing Automation platforms:
    • Adobe Journey Optimizer
    • Adobe Campaign
    • Salesforce Marketing Cloud
    • Marketo
    • Braze
    • Iterable
  • Strong knowledge of customer identity resolution, consent management, customer segmentation, and customer journey orchestration.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Strong SQL and data modeling skills.
  • Experience with APIs, REST services, microservices, ETL/ELT, Kafka, and event-driven architecture.
  • Knowledge of data governance, security, and privacy regulations (GDPR, CCPA).
  • Excellent stakeholder management and communication skills.
Preferred Qualifications
  • Experience with Adobe Experience Cloud or Salesforce ecosystem.
  • Experience with Snowflake, Databricks, or BigQuery.
  • Knowledge of Power BI, Tableau, or Looker.
  • Familiarity with CI/CD, DevOps, Docker, and Kubernetes.
  • TOGAF, AWS, Azure, Salesforce, or Adobe certifications are a plus.
  •  

Apply