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Data Science Manager Jobs in Houston, TX (NOW HIRING)

Socket.dev

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

The ideal candidate combines strong fundamentals in applied mathematics and data science with the ... Proficiency in managing and interpreting large datasets * Knowledge of tool physics and tool ...

campus4tech

Lead Data Scientist

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Seven (7) years of experience in data science is required * Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management ...

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... Manages relationships with business partners to evaluate and foster data driven innovation ... Strong foundation in data science and core machine learning concepts. * Experience with large ...

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Manages relationships with business partners to evaluate and foster data driven innovation ... Represents the data science team for all phases of larger and more-complex development projects.

Socket.dev

Lead Data Scientist

Houston, TX · On-site

$92 - $154/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Within the Data Science team, the Lead Data Scientist will develop and standardize statistical ... Analytics and reporting: develop and sustain operational and management dashboards for MRO shops ...

Guidehouse

Epidemiologist Data Scientist

Houston, TX

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Ability to manage multiple priorities in a fast-paced consulting environment. * Experience with HIV ...

New

MDAEdge

Lead Data Scientist - AWS Certified

Houston, TX · On-site

... management tools. • Skilled in advanced data science methods: time series forecasting, regression, A/B testing, clustering, etc. • Strong communication skills for both technical and non-technical ...

Deloitte

Lead AI and Data Science Engineer II

Houston, TX · On-site

$97K - $128K/yr

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ... Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ...

Battelle Memorial Institute

Data Scientist II

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We conduct research and development, manage national laboratories, design and manufacture products ... science activities. * Develop and maintain robust data pipelines that support the ingestion ...

PSA BDP

Data Scientist

Houston, TX · On-site

  • Retirement

... Data Science outputs into operational dashboards and client reporting products. • Contribute to QBR and MBR reporting packages, in coordination with the Logistics Supply Chain Engineering Manager ...

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Showing results 41-60

All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Houston, TX

Data Science Manager information

See Houston, TX salary details

$29.6K

$92.8K

$164.3K

How much do data science manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science manager in Houston, TX is $92,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $119,800.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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

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

What are popular job titles related to Data Science Manager jobs in Houston, TX?

For Data Science Manager jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Data Science Manager jobs in Houston, TX look for?

The top searched job categories for Data Science Manager jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Science Manager jobs?

Cities near Houston, TX with the most Data Science Manager job openings:

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $92,771 per year, or $44.6 per hour.

Devops Engineer-BI /Data Science

NAVA Software Solutions

Spring, TX • On-site

$48.50 - $66.50/hr

Full-time

Posted 23 days ago

Job description

NAVA Software solutions is looking for a Devops Engineer - BI /Data Science
Details:
Analytics DevOps Engineer
Location: Spring TX - Hybrid 3 days a week
Duration: 6-12 months
The BI/Data Science DevOps Engineer will be responsible for building and maintaining the CI/CD pipelines, deployment automation, and platform infrastructure that support the organization's Power BI, data science, and analytics ecosystem. This role bridges traditional DevOps practices with the specific needs of BI and ML environments - managing release processes for Power BI content, Databricks workspaces, and data science model deployments. The BI/Data Science DevOps Engineer takes complete ownership of deployment reliability, environment consistency, and operational governance across the analytics platform.
Job Duties/Roles
  • Design, build, and maintain CI/CD pipelines for Power BI reports/datasets, Databricks notebooks/jobs, and ML model deployments across dev, test, and production environments.
  • Automate deployment of Power BI workspaces, datasets, and dataflows using Power BI REST APIs, deployment pipelines, and source-controlled artifacts.
  • Manage Databricks infrastructure-as-code (clusters, jobs, workflows, Unity Catalog objects) using tools such as Terraform, Databricks Asset Bundles, or equivalent.
  • Establish and enforce version control practices (Git-based workflows) for BI artifacts, notebooks, and ML code across teams.
  • Build monitoring, alerting, and logging for pipeline health, job failures, deployment errors, and platform performance across the BI/data science stack.
  • Standardize environment promotion processes (dev → test → prod) with appropriate approval gates, testing, and rollback procedures.
  • Collaborate with Data Science and BI teams to containerize and package models/reports for repeatable, automated deployment.
  • Act as the liaison between Data Science, BI, Data Engineering, and Infrastructure/IT teams to align deployment practices with enterprise standards.
  • Manage access provisioning, secrets, and credentials across environments using secure vaults and role-based access controls.
  • Support cost governance and resource optimization by tracking compute usage, autoscaling policies, and cluster configurations.
  • Troubleshoot deployment failures, environment drift, and integration issues across the analytics and data science toolchain.
  • Document deployment architecture, runbooks, and standard operating procedures for platform reliability and knowledge continuity.

Knowledge, Skills, and Abilities Required (KSAR)
  • Highly proficient in CI/CD tooling such as Azure DevOps, GitHub Actions, or Jenkins.
  • Highly proficient in scripting and automation (PowerShell, Python, Bash) for deployment workflows.
  • Strong working knowledge of the Power BI platform, including deployment pipelines, REST APIs, and workspace/app management.
  • Strong experience with Databricks, including Databricks Asset Bundles, workflows, cluster policies, and Unity Catalog administration.
  • Experience with infrastructure-as-code tools such as Terraform or ARM/Bicep templates.
  • Proficient in Azure suite services relevant to data platforms - Azure Data Factory, Azure Data Lake, Azure Key Vault, Azure Synapse.
  • Solid understanding of Git-based version control and branching strategies for analytics and ML artifacts.
  • Familiarity with containerization and orchestration concepts (Docker, Kubernetes) as applied to model/report deployment.
  • Understanding of MLOps concepts - model versioning, monitoring, and automated retraining/deployment pipelines - is a strong plus.
  • Excellent verbal, written, and presentation skills, able to translate technical deployment concepts to non-technical stakeholders.
  • Attentive to detail, with strong troubleshooting and root-cause analysis skills.
  • Ability to manage highly confidential material and enforce security/compliance standards.

Minimum Years of Experience
Typically, 5 or more years of experience in DevOps, platform engineering, or infrastructure roles, with at least 2 years focused on BI or data science/ML deployment environments.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

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Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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