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Seasonal Machine Learning R Jobs in Austin, TX (NOW HIRING)

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... Strong proficiency in Python or R, including relevant ML libraries * Expertise in SQL and ...

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate ... Strong proficiency in Python or R, including relevant ML libraries * Expertise in SQL and ...

PhD in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Machine Learning, Data ... Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent ...

PhD in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Machine Learning, Data ... Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent ...

PhD in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Machine Learning, Data ... Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent ...

Staff ML Scientist

Austin, TX · Hybrid

$157K - $170K/yr

PhD in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Machine Learning, Data ... Experience with one or more common statistical tools such SAS, R, KNIME, Matlab. * Excellent ...

... or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Advanced degrees are a plus. * 5 years of experience in data science and machine learning. * Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks. * Hands-on experience with ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Ability to understand business goals and translate them into Machine Learning use cases and model ... Proficiency in high level scripting language, such as Python or R * Understanding of the strategic ...

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Seasonal Machine Learning R information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do seasonal machine learning r jobs pay per year?

As of Jun 9, 2026, the average yearly pay for seasonal machine learning r in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning R jobs in Austin, TX? The most popular types of Machine Learning R jobs in Austin, TX are:

Senior Data Scientist

Parkhill

Austin, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 29 days ago


Job description

Overview

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate actionable insights that drive business decisions and project outcomes and support data and AI use cases. This role focuses on analyzing complex datasets, building predictive models, and advising multidisciplinary teams in architecture, engineering, and consulting services. The Senior Data Scientist will also contribute to the development of best practices for data and AI across the organization. This is a full-time position paid bi-weekly on a salary basis.

Life at Parkhill 

At Parkhill, Building Community is the reason we exist. We invest in extraordinary people who love investing in their communities. We are more than planners, architects, and engineers - we are neighbors who choose to live and work in the communities we serve. 

Increase your impact with our team of passionate collaborators. Whether you are a recent graduate with untapped potential or a professional with proven experience, we invite you to discover a career path designed for you. 

Parkhill is one of the largest architectural and engineering firms in the Southwest with14offices located throughout Texas, New Mexico, and Oklahoma. 

Responsibilities
  • Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure
  • Analyze large, diverse datasets to identify trends, patterns, and opportunities for operational or project improvements.
  • Develop predictive models and statistical analyses to inform planning, forecasting, and decision-making.
  • Create dashboards and visualizations that communicate insights to both technical and non-technical stakeholders.
  • Apply AI and machine learning methods, including generative AI, to support data and AI use cases.
  • Collaborate with business SMEs, data engineer, and the Digital Practice group to translate analytics into actionable recommendations.
  • Contribute to the growth of Parkhill's data science capabilities.
  • Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.
Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
  • 7+ years in data science, analytics, or AI roles
  • Experience with AEC, engineering, or consulting environments
  • Strong proficiency in Python or R, including relevant ML libraries
  • Expertise in SQL and experience with data visualization tools (Power BI, Tableau)
  • Familiarity with cloud platforms (Azure, AWS) for analytics and model deployment
  • Experience with generative AI frameworks

Benefits and Perks

We offer a comprehensive benefits program that supports the whole person. Our benefits include: 

  • Life Balance: hybrid/flexible work schedules, flexible work environment, generous PTO, paid holidays.  

  • Investing in Your Future Growth: specialized training, continuing education, professional licensing, intern development programs, University of Parkhill.  

  • Competitive Benefits: Multiple health plan options, FSA for dependent care, HSA contributions, employer 401k contribution, employer-paid basic life, short/long term disability coverage, performance bonuses.     

Employment Type: FULL_TIME