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Weekend Data Science R Jobs in Texas (NOW HIRING)

... Data Science or Advanced Analytics . * Strong programming proficiency in Python, R, and SQL . * Strong understanding of statistics, probability, and linear algebra . * Hands-on experience with ...

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and ...

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and ...

This Data Science Geologist will bridge traditional earth sciences with advanced data science and ... Proficiency in Python (Pandas, Scikit-learn, PyTorch) or R for statistical analysis * Expertise in ...

In this role, you will lead a team of Data Scientists and Machine Learning Engineers. You will ... Strong programming skills in Python or R, with experience in data manipulation and ML libraries (e ...

This Data Science Geologist will bridge traditional earth sciences with advanced data science and ... Proficiencyin Python (Pandas, Scikit-learn,PyTorch) or R for statistical analysis * Expertisein SQL ...

As a People Manager of Data Science, your archetype is a Data Scientist Mentor. Your passion is ... SQL, R, Python, Scala, Java, C/C++ - Technical knowledge in big data / ML optimization: GPU code ...

As a People Manager of Data Science, your archetype is a Data Scientist Mentor. Your passion is ... SQL, R, Python, Scala, Java, C/C++ - Technical knowledge in big data / ML optimization: GPU code ...

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial ... and/or R to analyze disparate datasets. Preferred Skills: • Master''s degree preferred. • ...

... Science/Data Lake team. In this role, you will support the design and modernization of cyber data ... R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine ...

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... Science/Data Lake team. In this role, you will support the design and modernization of cyber data ... R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine ...

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Weekend Data Science R information

What are the key skills and qualifications needed to thrive as a Weekend Data Science R, and why are they important?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.
What are the most commonly searched types of Data Science R jobs in Texas? The most popular types of Data Science R jobs in Texas are:

Full-time

Posted 7 days ago


Job description

Overview:
Job Title: Data Scientist
Location: San Antonio, TX / Plano, TX (Onsite)
Employment Type: Contract
Experience Required: 8-10+ Years
Position Overview
We are seeking experienced Data Scientists to design, develop, and deploy advanced analytics and machine learning solutions that drive data-driven decision-making.
This role requires strong expertise in Python, R, SQL, statistical modeling, and machine learning frameworks, along with the ability to translate complex insights into actionable business strategies.
Core Responsibilities
Data Collection & Preparation
  • Gather structured and unstructured data from multiple internal and external sources.
  • Perform data cleaning, transformation, and preprocessing to ensure high data quality.
  • Build scalable data pipelines to support modeling and analytics initiatives.
Exploratory Data Analysis (EDA)
  • Analyze datasets to identify patterns, correlations, and trends.
  • Develop hypotheses and validate findings using statistical techniques.
Modeling & Machine Learning
  • Design, build, and deploy predictive models for classification, regression, clustering, and optimization tasks.
  • Apply machine learning algorithms using libraries such as Scikit-learn, TensorFlow, or PyTorch.
  • Evaluate model performance and tune hyperparameters for improved accuracy.
Visualization & Reporting
  • Create dashboards and reports using tools such as Tableau or Power BI.
  • Present findings to business stakeholders in a clear and actionable manner.
Collaboration & Strategy
  • Work closely with business leaders and cross-functional teams to define analytical use cases.
  • Translate business problems into analytical frameworks and data science solutions.
Model Maintenance & Governance
  • Test, validate, and monitor models in production environments.
  • Update models to maintain accuracy and relevance over time.
Required Skills & Qualifications
  • 8-10+ years of experience in Data Science or Advanced Analytics.
  • Strong programming proficiency in Python, R, and SQL.
  • Strong understanding of statistics, probability, and linear algebra.
  • Hands-on experience with machine learning frameworks such as:
    • Scikit-learn
    • TensorFlow
    • PyTorch
  • Experience in data visualization and reporting tools (Tableau, Power BI).
  • Strong analytical and problem-solving skills.
  • Excellent communication skills with the ability to translate complex technical insights into business strategies.
Technical Skills
Python | R | SQL | Machine Learning | Scikit-learn | TensorFlow | PyTorch | Data Modeling | Statistics | Tableau | Power BI | Data Visualization