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Remote Director Machine Learning Jobs in Houston, TX

Houston, TX 4 days onsite. Fridays are remote. Department: Customer Success, Continuous Improvement ... AI & Machine Learning Development: Design, train, and deploy predictive models (classification ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support ... Machine learning, deep learning, neural networks * Mission science integration and operations

Showing results 21-40

Remote Director Machine Learning information

See Houston, TX salary details

$34.4K

$87.8K

$134.7K

How much do remote director machine learning jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote director machine learning in Houston, TX is $87,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $101,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a Remote Director of Machine Learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What job categories do people searching Remote Director Machine Learning jobs in Houston, TX look for? The top searched job categories for Remote Director Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Director Machine Learning jobs? Cities near Houston, TX with the most Remote Director Machine Learning job openings:
Sr Data Scientist

Sr Data Scientist

NRG Energy

Houston, TX • On-site, Remote

Other

Posted 6 hours ago


Job description

Welcome to the intersection of energy and home services. At NRG, we're all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers' lives easier-helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.

Senior Data Scientist - AI & Customer Operations Analytics

Location: Houston, TX 4 days onsite. Fridays are remote. 

Department: Customer Success, Continuous Improvement & AI Transformation

Reports To: Principal, Operations Performance

Position Summary

We are seeking an innovative Senior Data Scientist to lead the design, deployment, and optimization of machine learning and Generative AI solutions for our customer care ecosystem. This role bridges Customer Care Operations, Product, IT, and Data Engineering to translate complex business needs into scalable AI products that improve customer experience and operational efficiency.


Key Responsibilities
  • AI & Machine Learning Development: Design, train, and deploy predictive models (classification, forecasting, anomaly detection). Build and optimize Generative AI applications, Retrieval-Augmented Generation (RAG) systems, and multi-agent workflows.

  • Customer Care AI Solutions: Develop and evaluate AI tools supporting Agent Assist, Virtual Agents, intelligent routing, speech/sentiment analytics, and workflow automation.

  • Advanced Analytics & Experimentation: Analyze large-scale structured and unstructured datasets. Create forecasting models for contact volumes and customer churn, and establish A/B testing frameworks.

  • Data Engineering & MLOps Infrastructure: Partner with data teams using Databricks, Spark, SQL, and Python to build ETL pipelines, vector databases, and model serving infrastructure. Maintain CI/CD workflows and monitor for data/model drift in production.

  • Governance & Leadership: Ensure all AI solutions comply with data privacy and Responsible AI metrics. Mentor technical practitioners and present key findings to executive stakeholders.


Qualifications & Core Skills
  • Experience: 10+ years in Data Science or a related analytical role, with a proven track record of deploying production-grade AI.

  • Technical Stack: Advanced proficiency in Python, SQL, cloud data platforms, and MLOps frameworks.

  • AI Specialization: Hands-on experience with Large Language Models (LLMs), prompt engineering, vector databases, and conversational AI architecture.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)

Official description on file with Talent.


NRG logo

About NRG

Sourced by ZipRecruiter

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information is available at www.nrg.com. Connect with NRG on Facebook, LinkedIn and follow us on Twitter @nrgenergy.

Industry

Oil and coal products manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Houston, TX, US