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Temporary Machine Learning R Jobs in Houston, TX

Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL ...

AI ML Operations Engineer

Houston, TX

$66K - $89K/yr

... and machine learning methods and algorithms * Strong Python or R programming skills required * Knowledge of Linux environment required * Strong knowledge of Microsoft products (Excel, Project ...

AI ML Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

... and machine learning methods and algorithms * Strong Python or R programming skills required * Knowledge of Linux environment required * Strong knowledge of Microsoft products (Excel, Project ...

Temp to Hire - Manual Machinist

Houston, TX

$21 - $28.50/hr

I.R. tolerances on finished products * Any other task as assigned by the Supervisor Qualifications of the Temp to Hire Manual Machinist include, but are not limited to: * 5 years' experience on ...

About George R. Brown School of Engineering and Computing The George R. Brown School of Engineering ... machine learning, or deep learning algorithms. * Familiarity with clinical imaging workflows ...

Temp to Hire - Manual Machinist

Houston, TX

$21 - $28.50/hr

I.R. tolerances on finished products * Any other task as assigned by the Supervisor Qualifications of the Temp to Hire Manual Machinist include, but are not limited to: * 5 years' experience on ...

About George R. Brown School of Engineering and Computing The George R. Brown School of Engineering ... machine learning, or deep learning algorithms. * Familiarity with clinical imaging workflows ...

Develop advanced analytics and machine learning models to uncover patterns and predict outcomes ... Strong programming skills (Python, SQL, R), with experience in big data tools (Spark, Airflow) and ...

You have demonstrated experience in formulating and solving optimization, machine learning ... Possess strong programming skills in Python and/or R, with proficiency in SQL and working knowledge ...

... R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to cybersecurity ...

... R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to cybersecurity ...

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Temporary Machine Learning R information

See Houston, TX salary details

$24.4K

$40.7K

$84K

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

As of Jun 30, 2026, the average yearly pay for temporary machine learning r in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

Lead Data Scientist

Full-time

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


Job description

NAVA Software solutions is looking for a Lead Data Scientist
Details:
Lead Data Scientist
Location: Houston TX - 4 days onsite
Duration: Full time /Direct Hire
The Lead Data Scientist will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives. This role encompasses transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques such as machine learning, optimization, and cluster analysis.
The incumbent will lead and help to develop a newly formed data-scientists taskforce in delivering impactful analytical solutions, ensuring these innovations are seamlessly embedded into business operations to drive decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation. As part of this role the applicant will play a significant part in setting the AI & ML agenda for The Friedkin Group, including working with business units to define potential opportunities, and defining standards and best practice for AI & ML at TFG
ESSENTIAL FUNCTIONS
  • Translates business needs into analytics/reporting requirements to support data-driven decisions with required information & explain ability.
  • Keep abreast of the latest data science techniques and technologies. Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes.
  • Communicate complex data insights in a clear and effective manner to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making.
  • Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to solve complex business problems.
  • Ensure analytical insights and products are embedded into business processes.
  • Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch.
  • Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards with input from use case teams and business leadership.
  • Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization.
  • Foster a culture of innovation and continuous improvement and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of TFG's analytics expertise.
  • Work with wide landscape of business and technical stakeholders to proactively identify applicable new technologies and opportunities and detail and communicate how they can deliver measurable business value.
  • Own the analytics solution portfolio, including model maintenance and improvements over time.

SUPERVISORY RESPONSIBILITIES
  • Directly supervises one or more employees. Carries out responsibilities in accordance with the organization's policies and applicable laws.
  • Demonstrated ability to lead and manage data science projects, including, managing workflow and priorities, to ensure timely delivery of projects with high-quality outcomes.
  • Proven track record of recruiting, training, and retaining a skilled data science team, identifying talent gaps, and addressing them.

QUALIFICATIONS
  • A master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years' experience in data science or a similar role.
  • Proficient in at least one analytical programming language relevant for data science. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI).
  • Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.)
  • Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark).
  • Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop.
  • Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.,
  • Good understanding of programming best practices, building for re-use and highly automated CI/CD pipelines.

SOFT SKILLS
  • Proven track record of leading cross-functional teams to successfully deliver complex data-driven projects.
  • Excellent problem-solving and analytical skills, with the ability to translate complex technical details into understandable business insights.
  • Sees overall 'picture' and alternative approaches and develop vision of what may be possible.
  • Strong interpersonal and communication skills, capable of working effectively with and developing trust from both non-technical and technical counterparts to influence key use case & enterprise decisions.

CERTIFICATES, LICENSES, REGISTRATIONS*
  • Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

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

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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