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Weekend Data Science R Jobs in Texas (NOW HIRING)

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 ...

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 ...

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 ...

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. • ...

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 ...

... R and SQL, including database management tasks * Develop reproducible reports using Markdown What We're Looking For: * Master's degree (or equivalent) in Data Science, Business Analytics, or a ...

... R and SQL, including database management tasks * Develop reproducible reports using Markdown What We're Looking For: * Master's degree (or equivalent) in Data Science, Business Analytics, or a ...

... R and SQL, including database management tasks * Develop reproducible reports using Markdown What We're Looking For: * Master's degree (or equivalent) in Data Science, Business Analytics, or a ...

... R and SQL, including database management tasks * Develop reproducible reports using Markdown What We're Looking For: * Master's degree (or equivalent) in Data Science, Business Analytics, or a ...

AI and Data Science Engineer III

Houston, TX · On-site

$109K - $131K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

AI and Data Science Engineer III

Austin, TX · On-site

$113K - $136K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

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Weekend Data Science R information

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 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 the most commonly searched types of Data Science R jobs in Texas? The most popular types of Data Science R jobs in Texas are:
DATA SCIENTIST

Full-time

Posted 7 hours ago


Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is seeking an experienced Data Scientist to support data analytics, machine learning, and EMS data refinement in support of the Joint Electromagnetic Warfare Center (JEWC).

This position focuses on refining, integrating, and presenting EMS data from multiple sources, developing machine-readable export capabilities, and creating dynamic software models to enhance electromagnetic spectrum operations. Key Responsibilities: Lead efforts to refine and validate data housed in the EMS repository by identifying and addressing informational gaps, correcting errors, and ensuring data consistency and accuracy. Structure EMS data in a hierarchical format, linking unit, platform, and equipment EMS parameters to ensure operational relevance.

Develop and document data integration and gap analysis processes in compliance with DoDI 8320.02 and applicable DoD data governance standards. Enable EMS data export in machine-readable formats such as JSON or through APIs, ensuring proper documentation of export functionality and adherence to dissemination controls. Develop and validate dynamic software models of EMS systems with both geospatial and non-geospatial representations

Provide documentation detailing data sources, model development, validation processes, and system integration activities. Collaborate with technical teams, engineers, and operational SMEs to ensure EMS data products meet mission needs.Qualifications: Active Top Secret/SCI Clearance. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Minimum of 8 years of experience in data science, analytics, or related disciplines. Minimum of 5 years of experience with software development lifecycle and methodologies. Proficiency in programming languages such as Python, R, or SQL.

Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques. Experience developing data models and integrating data from multiple sources. Preferred Skills: Experience with EMS data or military electronic warfare systems.

Familiarity with DoD data governance and security policies, including DoDI 8320.02. Experience delivering data solutions for military or government customers.Qualifications: Active Top Secret/SCI Clearance. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Minimum of 8 years of experience in data science, analytics, or related disciplines. Minimum of 5 years of experience with software development lifecycle and methodologies. Proficiency in programming languages such as Python, R, or SQL.

Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques. Experience developing data models and integrating data from multiple sources. Preferred Skills: Experience with EMS data or military electronic warfare systems.

Familiarity with DoD data governance and security policies, including DoDI 8320.02. Experience delivering data solutions for military or government customers.