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

Bedrock

Contract Analyst II

Houston, TX · On-site

$65K - $79K/yr

... data, and pricing structures. Project Support Master Cleanup Project: Review and update contract ... Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 ...

Guidehouse

Senior Data Engineer

Houston, TX

$80K - $133K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Role contingent upon contract award. What You Will Need: * U.S. Citizenship or Green Card is ...

Guidehouse

Senior Data Engineer

Houston, TX

$80K - $133K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Role contingent upon contract award. What You Will Need: * U.S. Citizenship or Green Card is ...

Atria Group LLC

Data Architect

Houston, TX

$61 - $78.25/hr

The role requires an in-depth understanding of data management processes as well as extensive ... science Additional Information 6m contract, plus ext. Apply today!

Mondo

BA

Houston, TX · Remote

$44 - $68/hr

ASAP - targeting August 3 Duration: 12-month contract Compensation: $44-68/hr W2 Benefits: Eligible ... Bachelor's degree in Data Science, Computer Science, Information Systems, or related field * Proven ...

Addison Group

Data Entry Specialist

Houston, TX · On-site

$18.50 - $19/hr

Contract (3 months+) Schedule: Onsite M-F, Hours: 8-5pm Pay: $18.50-$19.00 Benefits: This position ... Prior experience with databases or studying for Computer Science and Technology programs * Type at ...

Tyndale

Contracts Administration Manager

Houston, TX · Hybrid

$74K - $100K/yr

BA/BS degree in paralegal studies, political science, business, or a related field. * Juris Doctor ... contract terms with customers. * B-to-B or B-to-C experience preferred. * Data analysis and ...

Halliburton

Senior Data Architect - Landmark

Houston, TX

$64.25 - $86/hr

These are tools used daily by engineers and scientists at the world's largest energy companies. The ... contracts that are precise enough to be implemented and clear enough to be understood by teams that ...

Halliburton

Senior Data Architect - Landmark

Houston, TX · On-site

$58 - $77.50/hr

These are tools used daily by engineers and scientists at the world's largest energy companies. The ... contracts that are precise enough to be implemented and clear enough to be understood by teams that ...

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Showing results 21-40

All JobsData Scientist Contract JobsData Scientist Contract Jobs in Spring, TX

Data Scientist Contract information

See Spring, TX salary details

$34.3K

$112.4K

$179.9K

How much do data scientist contract jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data scientist contract in Spring, TX is $112,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $124,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist Contract, you need a strong background in statistics, data analysis, and programming, usually supported by a degree in a quantitative field. Proficiency with tools such as Python, R, SQL, machine learning libraries, and data visualization platforms is typically required, along with knowledge of cloud-based data environments. Excellent problem-solving abilities, adaptability, and strong communication skills help you translate complex data findings into actionable business insights. These skills ensure that contract data scientists can quickly deliver high-impact solutions and integrate seamlessly into diverse project teams.

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

AspectData Scientist ContractData Analyst Contract
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, government agencies

Data Scientist Contract roles focus on advanced analytics and machine learning, requiring higher-level skills and credentials. Data Analyst Contract positions involve data reporting and visualization, often with less emphasis on predictive modeling. Both roles are common in various industries, but they differ in complexity and scope.

What is a data scientist contract?

Data Scientist contract jobs are temporary positions where professionals analyze and interpret complex data to help organizations make informed decisions. Unlike full-time roles, contract data scientists are hired for a specific period, often to work on particular projects or to provide specialized expertise. These contracts can range from a few months to a year or more, and may be offered through staffing agencies, consultancies, or directly by companies. Contract roles offer flexibility and exposure to diverse industries, but typically do not include employee benefits such as health insurance or paid time off.

What are some common challenges faced by data scientists working on a contract basis, and how can they be addressed?

Contract data scientists often face challenges such as quickly adapting to new teams and workflows, managing varying project scopes, and ensuring clear communication with stakeholders who may not have technical backgrounds. To address these, it's important to establish clear objectives and deliverables at the outset, maintain proactive communication, and document work thoroughly. Building strong relationships with both technical and non-technical team members can also help ensure project success and smooth collaboration.

What does a contract data scientist do?

As a contract data scientist, your job is to provide independent support to a client for a freelance project or assignment. In this role, you may analyze a database to obtain useful information, use statistics to interpret the results, help identify trends within the industry, and make recommendations about the best course of action. Contract data scientists often help analyze historical data, build or refine templates and dashboards, assist full-time employees, and use predictive modeling to evaluate future company needs. The length of each contract varies, but it's possible to work with the same company for a year or more.

More about Data Scientist Contract 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:

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For Data Scientist Contract jobs in Spring, TX, the most frequently searched job titles are:

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The top searched job categories for Data Scientist Contract jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data Scientist Contract jobs?

Cities near Spring, TX with the most Data Scientist Contract job openings:

Data Scientist Contract jobs near you
Infographic showing various Data Scientist Contract job openings in Spring, TX as of August 2026, with employment types broken down into 46% Full Time, 9% Part Time, and 45% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $113,016 per year, or $54.3 per hour.

Solution Architect, Customer Data

Knowit Training

Houston, TX • Hybrid

Full-time

Posted 23 days ago

Job description

Responsibilities:  
  • Architecture & Design: Define and deliver solution architectures for CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution ecosystems. Establish target-state architecture across CDP, Data Warehouse, and Customer Master Data with clear separation of concerns between data mastering, activation, and analytics. 
  • Integration: Ensure seamless connectivity between MarTech platforms, AdTech tools, data platforms, CMS/DAM systems, and analytics ecosystems. 
  • Identity & Governance: Define and govern identity resolution, enterprise customer ID strategy, and consent enforcement, ensuring compliance with privacy regulations and enterprise data policies. 
  • Personalization & Decisioning: Architect real-time and batch decisioning frameworks, enabling scalable personalization, experimentation, and ML-driven customer engagement. 
  • Data & Content Technology Strategy: Define standards for data flows, identity management, customer mastering approaches, and content governance across platforms. 
  • Retail Media & Activation: Enable first-party data activation across paid media and Retail Media Networks, supporting audience creation, targeting, and monetization. 
  • Vendor Strategy & Cost Optimization: Evaluate MarTech and AdTech platforms, drive build vs buy decisions, and optimize platform usage and cost, including CDP unit economics. 
  • Innovation & Strategy: Stay ahead of trends in MarTech, AdTech, AI, and analytics, recommending new technologies and approaches that drive measurable business outcomes. 
  • Governance & Oversight: Serve as design authority for customer data and marketing technology, ensuring scalability, security, compliance, and alignment with enterprise architecture standards. 
  • Collaboration: Partner with Marketing, Product, IT, Data Science, and vendors to align on roadmaps, define capability-driven Architecture models, and deliver reusable, scalable solutions. 

Qualification:  
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Or a realted field (Master's degree a plus)
  • 8+ years of experience in customer data, data engineering, or MarTech domains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions 
  • MarTech data domain expert skilled in customer data, clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels. 
  • Proven expertise in CDP (COTS or in-house), Customer Master Data management, CRM/loyalty systems, and Customer 360 solutions. 
  • Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDP, data warehouse, and external identity providers. 
  • Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage. 
  • Experience designing architectures for personalization, ML decisioning, loyalty programs, closed-loop measurement, and attribution. 
  • Hands-on experience with marketing automation platforms (ESP/SMS/Push) integrated with customer data and analytics platforms. 
  • End-to-end experience across the MarTech and AdTech stack, spanning CDP, Customer Master Data, personalization engines, paid media platforms, analytics, attribution, and customer data activation. 
  • Background integrating CMS/DAM platforms with personalization and engagement ecosystems. 
  • Experience supporting Retail Media Networks (RMN), audience monetization, and paid media activation using first-party data. 
  • Experience evaluating and selecting MarTech/AdTech platforms, including build vs buy decisions and vendor architecture assessments. 
  • Skilled in high-volume, high-velocity data ingestion architectures (batch and streaming). 
  • Experience working with Data Science teams to operationalize ML models into customer-facing workflows. 
  • Exposure to AI-driven engagement, automation, and GenAI is considered a plus.   
  • Proficiency with MarTech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, Google Analytics, or similar ecosystems. 
  •  Customer Data: Customer Data Platforms, Customer Data Warehouse, Customer Master Data, Customer 360 
  • Identity Resolution: First-party, hybrid, and third-party identity graphs, deterministic and probabilistic matching 
  • Marketing Platforms: ESP/SMS/Push, CRM, CMS/DAM, personalization, and decisioning engines 
  • AdTech/Media: Paid media platforms, attribution frameworks, Retail Media Networks, audience activation 
  • Cloud Platforms: GCP preferred (AWS/Azure acceptable) 
  • Integration Patterns: APIs, microservices, event-driven architectures (Kafka, Pub/Sub) 
  • Data Platforms: Data lakes, data warehouses, Lakehouse patterns, structured and unstructured databases 
  • Customer Data Governance: Consent management, data lineage, auditability, data contracts 
  • Architecture Strategy: Build vs buy evaluation, platform scalability, cost optimization, real-time vs batch tradeoffs 
  • AI/GenAI adoption: Leveraging AI/GenAI across marketing use cases and software development to drive personalization, automation, and engineering efficiency. 
  • Process Automation: DevOps, AIOps & automation frameworks for Martech 
  • Excellent communication and presentation skills with the ability to simplify complex concepts for business and executive stakeholders. 
  • Strong problem-solving, creativity, and ability to balance technical rigor with business value.