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On Call Machine Learning R Jobs in Texas (NOW HIRING)

Machine learning concepts * Data visualization * Proficiency in: * SQL * Python or R * Excel * Tableau / Power BI Key Responsibilities * Develop, maintain, and optimize pricing and predictive models ...

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

The role involves developing machine learning models, collaborating with various teams, and ... in Python, R, or similar statistical programming languages • Experience with techniques in ...

Machine Tech II (R)

Odessa, TX · On-site

$20.25 - $26/hr

The (R)otational Machine Technician II is responsible for providing high quality repair service on ... Flexibility to work various schedules including shift work, required overtime and on call. WHY WORK ...

Machine Tech II (R)

Odessa, TX · On-site

$20.25 - $26/hr

The (R)otational Machine Technician II is responsible for providing high quality repair service on ... Flexibility to work various schedules including shift work, required overtime and on call. WHY WORK ...

... machine learning, optimization etc. in business analytics or scientific/engineering settings • Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python ...

Proficiency in Python, R, and SQL. Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra. Machine Learning: Knowledge of algorithms and libraries ...

... machine learning, optimization etc. in business analytics or scientific/engineering settings • Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python ...

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... machine learning. * Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data visualization. * Proficiency in Python and R, with ...

... machine learning in a heterogeneous domain environment Do you have what it takes to be a Senior Data Scientist at H-E-B? - Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C ...

... machine learning in a heterogeneous domain environment Do you have what it takes to be a Senior Data Scientist at H-E-B? - Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C ...

New

Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

Proficiency in Python or R along with SQL for database querying. * Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling. * Machine Learning: Experience ...

Create predictive models and machine-learning algorithms * Modify and combine different models ... Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or ...

Showing results 41-60

On Call Machine Learning R information

What is the difference between On Call Machine Learning R vs Data Scientist?

AspectOn Call Machine Learning RData Scientist
Required CredentialsTypically requires proficiency in R, statistical analysis, and some machine learning knowledgeRequires advanced degrees (often Master’s or PhD), programming skills (R, Python), and data analysis expertise
Work EnvironmentOften on-demand, project-based, or support roles within organizations or consulting firmsFull-time roles in various industries, involving data analysis, model development, and strategic insights
Employer & Industry UsageUsed by companies needing immediate machine learning support or troubleshootingEmployed across industries for data-driven decision making and predictive modeling

While both roles involve machine learning and R, On Call Machine Learning R focuses on providing immediate, project-specific support using R, whereas Data Scientists typically work on comprehensive data analysis and model development in a full-time capacity.

What are the most commonly searched types of Machine Learning R jobs in Texas?

The most popular types of Machine Learning R jobs in Texas are:

What cities in Texas are hiring for On Call Machine Learning R jobs?

Cities in Texas with the most On Call Machine Learning R job openings:

Lead Earnix developer

Noblesoft Technologies

Plano, TX • On-site

Contractor

Re-posted 11 days ago


Job description

Role Name         Technical Lead(Earnix developer)
Location:            San Antonio/ Plano, TX
Mode of hire:     6 months C2H

 

Experience level               10+ years
Mandatory skills:

  • 3+ years of experience in:
    • Pricing analytics
    • Predictive modeling
    • Data science
    • Insurance/financial services analytics (preferred)
  • Strong knowledge of:
    • Statistical analysis
    • Predictive modeling
    • Machine learning concepts
    • Data visualization
  • Proficiency in:
    • SQL
    • Python or R
    • Excel
    • Tableau / Power BI


Job description:
Key Responsibilities

  • Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques.
  • Analyze large datasets to identify pricing trends, customer behavior, and profitability drivers.
  • Support pricing strategy decisions through scenario analysis, forecasting, and simulations.
  • Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
  • Collaborate with business, underwriting, product, and engineering teams to implement pricing solutions.
  • Validate model performance and ensure accuracy, consistency, and compliance with governance standards.
  • Conduct A/B testing and impact analysis for pricing changes and product enhancements.
  • Automate recurring analytical and reporting processes where possible.
  • Translate business requirements into analytical solutions and technical specifications.
  • Monitor market trends, competitor pricing, and customer behavior to recommend pricing adjustments.
  • Support regulatory and audit requests related to pricing models and data usage.


Required Qualifications

  • Bachelor’s degree in:
    • Data Science
    • Statistics
    • Mathematics
    • Economics
    • Computer Science
    • Actuarial Science
    • Engineering
    • Related quantitative field
  • 3+ years of experience in:
    • Pricing analytics
    • Predictive modeling
    • Data science
    • Insurance/financial services analytics (preferred)
  • Strong knowledge of:
    • Statistical analysis
    • Predictive modeling
    • Machine learning concepts
    • Data visualization
  • Proficiency in:
    • SQL
    • Python or R
    • Excel
    • Tableau / Power BI
  • Experience with:
    • Regression models
    • Classification models
    • Forecasting techniques
Data mining and segmentation