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Data Science Architect Jobs (NOW HIRING)

Mars Technominds Inc

Data Science Architect

Mckinney, TX · On-site

$59 - $76/hr

Data Science Architect Location: McKinney, TX Duration: 12 24 Months Employment Type: Contract Secret clearance is NOT required at the time of hire. However, candidates must be eligible and able to ...

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

Clarksburg, WV More about this job > Description Data Intelligence, LLC is seeking a highly experienced Senior Data Architect - Data Science & Integration Support to support one of our federal law ...

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · On-site

$66 - $88.25/hr

Data Intelligence, LLC is seeking a highly experienced Senior Data Architect - Data Science & Integration Support to support one of our federal law enforcement clients. This role is responsible for ...

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

A highly skilled hands-on AI Scientist / Architect with at least 8+ years of experience in AI/ML, Data Science, or Software Engineering. * You bring strong expertise in designing and building ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Support technical documentation, architecture development, operational procedures, training ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

ASRT Inc

Data Science & Analytics Lead

Atlanta, GA · On-site

Data Science & Analytics Lead POSITION NUMBER: 2608-0085-DSAL POSITION LOCATION: Atlanta, GA, USA ... Ensure technical solutions align with CDC enterprise platforms, governance, architecture, and ...

ASRT

Data Science & Analytics Lead

Atlanta, GA · On-site

$130K - $170K/yr

Data Science & Analytics Lead POSITION NUMBER: 260823-0085-DSAL POSITION LOCATION: Atlanta, GA, USA ... Ensure technical solutions align with CDC enterprise platforms, governance, architecture, and ...

ASRT, Inc.

Data Science & Analytics Lead

Atlanta, GA · On-site

Data Science & Analytics Lead POSITION NUMBER: 2608-0085-DSAL POSITION LOCATION: Atlanta, GA, USA ... Ensure technical solutions align with CDC enterprise platforms, governance, architecture, and ...

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How much do data science architect jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data science architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What is a data science architect?

A Data Science Architect is a senior professional who designs and oversees the architecture of data science solutions within an organization. They are responsible for creating the frameworks and infrastructure that allow data scientists and analysts to develop, deploy, and scale machine learning models and data analytics processes. Typically, they collaborate with stakeholders to understand business requirements, select appropriate technologies, and ensure that data pipelines and models are robust, secure, and efficient. Data Science Architects also play a vital role in integrating new data sources and technologies into existing systems, and often mentor other data professionals.

How does a data science architect typically collaborate with cross-functional teams during a project?

A Data Science Architect often serves as a bridge between data scientists, engineers, and business stakeholders. They work closely with data engineers to design scalable data pipelines, partner with data scientists to ensure models are deployable, and communicate technical solutions to non-technical business leaders. Effective collaboration involves regular meetings, clear documentation, and aligning project goals across teams. This cross-functional approach ensures that data-driven solutions are both technically robust and tailored to business needs.

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

To thrive as a Data Science Architect, you need deep expertise in data modeling, machine learning, statistical analysis, and a strong background in computer science or a related field. Familiarity with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure), and advanced programming languages (such as Python or Scala) is typically required, along with relevant certifications. Exceptional problem-solving, leadership, and communication skills help in designing solutions and collaborating across teams. These skills are crucial to building scalable analytics systems that drive business insights and support organizational goals.

Can a data scientist become a data science architect?

A data scientist can become a data science architect by gaining experience in designing data systems, developing scalable data pipelines, and understanding enterprise architecture. This transition often requires advanced knowledge of cloud platforms, data engineering, and leadership skills, along with relevant certifications or training. Progression typically involves moving from hands-on analysis to strategic system design roles within data teams.

What states have the most Data Science Architect jobs?

States with the most job openings for Data Science Architect jobs include:

Data Science Architect jobs near you
Infographic showing various Data Science Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Data Science Architect

Mars Technominds Inc

Mckinney, TX • On-site

$59 - $76/hr

Other

Posted 5 days ago

Job description

Data Science Architect

Location: McKinney, TX
Duration: 12 24 Months
Employment Type: Contract

Secret clearance is NOT required at the time of hire. However, candidates must be eligible and able to obtain a U.S. Secret clearance.

Job Summary

We are seeking an experienced Data Science Architect to design, architect, and lead the development of scalable data science, machine learning, and AI solutions. The ideal candidate will have strong expertise in Data Science, Machine Learning, Python, SQL, cloud technologies, data architecture, and MLOps, with the ability to translate complex business and technical requirements into enterprise-grade analytical solutions.

The Data Science Architect will work closely with data scientists, data engineers, software engineers, cloud architects, and business stakeholders to establish scalable architecture, technical standards, and best practices for advanced analytics and AI/ML initiatives.

Key Responsibilities

  • Design and develop end-to-end Data Science, Machine Learning, and AI architectures for enterprise applications.
  • Define scalable and secure architectures for data ingestion, processing, analytics, machine learning, and model deployment.
  • Lead the architecture and implementation of predictive analytics, machine learning, statistical modeling, and advanced analytics solutions.
  • Collaborate with Data Scientists and Data Engineers to develop robust data pipelines and analytical platforms.
  • Design solutions for both structured and unstructured data and large-scale data processing.
  • Develop and implement machine learning models using appropriate algorithms and frameworks.
  • Establish standards and best practices for model development, validation, deployment, monitoring, and lifecycle management.
  • Design and implement MLOps processes and CI/CD pipelines for machine learning workloads.
  • Architect cloud-based data science solutions using AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
  • Work with technologies such as Python, SQL, Spark, Databricks, MLflow, TensorFlow, PyTorch, and Scikit-learn.
  • Evaluate and recommend data science, AI/ML, and cloud technologies based on scalability, performance, security, and cost.
  • Ensure data quality, governance, security, privacy, and compliance requirements are incorporated into solution architecture.
  • Design solutions supporting real-time and batch data processing.
  • Establish architecture patterns for APIs, microservices, model serving, and integration with enterprise applications.
  • Monitor and optimize model performance, scalability, reliability, and resource utilization.
  • Provide technical leadership and mentorship to Data Scientists, ML Engineers, Data Engineers, and development teams.
  • Work with stakeholders to translate business requirements into technical and data-driven solutions.
  • Create architecture diagrams, technical documentation, standards, and solution design specifications.
  • Stay current with emerging technologies in AI, Machine Learning, Generative AI, Data Science, and Cloud Computing.

Required Skills & Experience

  • 8+ years of experience in Data Science, Machine Learning, AI, Data Engineering, or related technology disciplines.
  • Strong experience in Data Science Architecture / Machine Learning Architecture / AI Architecture.
  • Advanced programming experience with Python.
  • Strong knowledge of SQL, data modeling, data structures, and algorithms.
  • Strong understanding of machine learning algorithms, statistical modeling, predictive analytics, and data mining.
  • Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar.
  • Hands-on experience with MLOps, ML lifecycle management, model deployment, monitoring, and CI/CD.
  • Experience designing scalable data pipelines and distributed data processing solutions.
  • Strong experience with Apache Spark / PySpark and/or Databricks.
  • Experience with one or more cloud platforms: AWS, Azure, or Google Cloud Platform.
  • Knowledge of data platforms such as Data Lakes, Data Warehouses, Lakehouse architectures, and distributed databases.
  • Experience with REST APIs, microservices, containers, Docker, and Kubernetes is preferred.
  • Strong understanding of data governance, security, privacy, and enterprise architecture principles.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred / Nice-to-Have Skills

  • Experience with Generative AI, Large Language Models (LLMs), RAG, NLP, or AI Agents.
  • Experience with MLflow, Azure Machine Learning, Amazon SageMaker, or equivalent MLOps platforms.
  • Experience with Kafka, Airflow, dbt, or other data engineering/orchestration technologies.
  • Knowledge of Vector Databases, embeddings, semantic search, and AI/ML APIs.
  • Experience with Terraform, Git, Jenkins, GitHub Actions, or Azure DevOps.
  • Experience working in large enterprise or highly regulated environments.
  • Experience leading architecture initiatives and mentoring technical teams.

Education

  • Bachelor s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Master s degree is preferred.

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