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Remote Research Math Jobs in Houston, TX (NOW HIRING)

Inizio Partners

Data Scientist

Houston, TX · On-site +1

US Remote This resource will work specifically on anomaly detection within one of our plant ... as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research ...

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 ... D. or Master's) in computer science, computer engineering, mathematics, physics, or related field.

EQT Corporation

Senior Support Analyst

Houston, TX · On-site +1

Conducts research on desktop products in support of PC procurement and development efforts ... remote users. * Supports end-users on various types of software programs to ensure they work ...

All JobsResearch Math JobsRemote Research Math JobsRemote Research Math Jobs in Houston, TX

Remote Research Math information

What are Remote Research Math jobs?

Remote Research Math jobs involve conducting mathematical research, analysis, and problem-solving from a location outside of a traditional office or lab, typically via the internet. Professionals in these roles may work for universities, research institutions, or private companies, collaborating with teams and publishing findings remotely. Tasks can include developing mathematical models, analyzing data, and applying advanced math to solve real-world problems. These jobs require strong mathematical skills, self-motivation, and the ability to communicate findings effectively in a virtual environment.

What are the key skills and qualifications needed to thrive as a Remote Research Mathematician, and why are they important?

To thrive as a Remote Research Mathematician, you need a strong background in advanced mathematics, analytical problem-solving, and typically a graduate degree in mathematics or a related field. Proficiency with mathematical software such as MATLAB, Mathematica, or Python, and familiarity with collaborative tools for remote teamwork are often required. Strong written communication, self-motivation, and critical thinking are crucial soft skills for effectively conducting and presenting independent research. These skills enable rigorous analysis, clear dissemination of findings, and successful collaboration in a remote research environment.

What is the difference between Remote Research Math vs Remote Data Analyst?

AspectRemote Research MathRemote Data Analyst
Required CredentialsAdvanced degrees in mathematics or related fieldsBachelor's or master's in statistics, data science, or related fields
Work EnvironmentResearch-focused, often academic or R&D settingsBusiness or tech industry, analyzing datasets
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, consulting firms, tech companies
Common Search & Comparison IntentUnderstanding research roles in mathAnalyzing data in business contexts

Remote Research Math involves advanced mathematical research, often in academic or R&D settings, requiring higher-level degrees. Remote Data Analysts focus on interpreting data to inform business decisions, typically with a bachelor's or master's degree. While both roles analyze data, Research Math emphasizes theoretical and complex problem-solving, whereas Data Analysts focus on practical data interpretation for organizations.

What are some common challenges faced by professionals in remote research math roles, and how can they be addressed?

Remote research math professionals often encounter challenges such as collaborating effectively with team members across different time zones and maintaining clear communication on complex problems. To overcome these, it's essential to use collaborative digital tools, schedule regular video meetings, and document progress thoroughly. Additionally, setting structured working hours and frequent check-ins can help maintain momentum and foster a sense of teamwork, even when working independently. Proactively seeking feedback and sharing draft work also ensures alignment and productivity.
What are popular job titles related to Remote Research Math jobs in Houston, TX? For Remote Research Math jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Research Math jobs in Houston, TX look for? The top searched job categories for Remote Research Math jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Research Math jobs? Cities near Houston, TX with the most Remote Research Math job openings:
Remote Research Math jobs near you
Infographic showing various Remote Research Math job openings in Houston, TX as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution.

Data Scientist

Inizio Partners

Houston, TX • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role: Data Scientist

Location: US Remote

This resource will work specifically on anomaly detection within one of our plant operations projects. The purpose of this project is to scale anomaly detection models for the transformer fault POC and add new models relating to thermal data. Other projects as required to require skills in forecasting and linear regression.

Essential Duties/Responsibilities:

  • Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering
  • Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
  • Ability to communicate and establish good relations with multi-disciplinary teams
  • Expertise with neural networks, specifically RNNs within the Keras/TensorFlow framework.
  • Proficiency with Python, including pandas, scikit-learn
  • Experience in PySpark

Minimum Requirements:

  • Bachelors degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
  • 3+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research

Preferred Qualifications:

  • Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.

Additional Knowledge, Skills and Abilities:

  • Knowledge of power transformers, experience with electrical engineering.
  • Prior experience predictive maintenance in a power or manufacturing environment.
  • Experience with Databricks, AWS SageMaker and/or Google Vertex AI
  • Comfortable working in Linux
  • Experience with Git
  • Experience with Docker containers
  • Good communication skills

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