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Hive Learning Jobs in Texas (NOW HIRING)

PeopleVisor

Data Scientist

Irving, TX · On-site

Knowledge of a variety of machine learning techniques (clustering, decision tree learning ... Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. * Experience visualizing/presenting data for ...

Wipro Limited

TECHNICAL LEAD L1

Arlington, TX · On-site

$60K - $135K/yr

... Hive, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms • Experience in building ... machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all ...

JP Morgan Chase

WFP Senior Data Scientist

Plano, TX · On-site

Design and development of Machine Learning, Artificial Intelligence and Statistical models ... SQL, Hive, etc.). * Demonstrated relationship building skills, with a superior ability to make ...

IntelliGenesis

Senior Data Scientist

Boerne, TX · On-site

Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala ... Experience with machine learning, algorithm analysis, and data clustering. * Ability to build ...

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All JobsHive Learning JobsHive Learning Jobs in Texas

Hive Learning information

See Texas salary details

$10.2K

$78.2K

$130.4K

How much do hive learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for hive learning in Texas is $78,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $129,500.00 per year, depending on experience, location, and employer.

What is Hive Learning?

Hive Learning is a digital platform designed to facilitate collaborative learning and knowledge sharing within organizations. It helps teams build skills, drive behavioral change, and create a culture of continuous improvement by enabling users to engage in group discussions, share resources, and participate in interactive learning experiences. The platform is often used for employee training, diversity and inclusion initiatives, and leadership development programs.

What skills and qualifications are needed to thrive as a Learning and Development Specialist at Hive Learning?

To thrive as a Learning and Development Specialist at Hive Learning, you need expertise in instructional design, adult learning principles, and experience in creating digital learning content, often supported by a degree in education, HR, or a related field. Familiarity with learning management systems (LMS), content authoring tools, and digital collaboration platforms is typically required. Outstanding facilitation, communication, and stakeholder management skills help you engage learners and drive organizational change. These capabilities are essential to ensure effective knowledge transfer, foster engagement, and achieve impactful learning outcomes in a digital-first environment.

How does a Hive Learning facilitator collaborate with subject matter experts and participants to maximize engagement and learning outcomes?

As a Hive Learning facilitator, you will work closely with subject matter experts to co-create and adapt digital learning content, ensuring it is relevant and impactful for your audience. Facilitators often moderate discussions, encourage participation, and provide guidance to learners, fostering a collaborative online environment. Regular communication with both content creators and participants helps identify areas for improvement and address any challenges quickly. This role requires strong interpersonal skills and the ability to adapt facilitation techniques to meet the evolving needs of diverse teams.

What is the difference between Hive Learning vs Learning and Development Specialist?

AspectHive LearningLearning and Development Specialist
CredentialsTypically requires experience in corporate training, instructional design, or e-learning platformsRequires similar credentials, often with certifications in training, HR, or instructional design
Work EnvironmentPrimarily in corporate settings, focusing on employee engagement and digital learning solutionsWorks in corporate, educational, or organizational environments developing training programs
Industry UsageUsed across industries for digital learning initiatives and employee developmentCommonly employed in HR and organizational development departments
Search & Comparison IntentOften compared for roles involving digital learning platforms and corporate trainingCompared for designing and implementing employee training programs

Both roles focus on employee learning and development, with Hive Learning emphasizing digital platforms and innovative learning solutions, while Learning and Development Specialists often handle broader training program design and delivery. The choice depends on whether the focus is on digital learning tools or comprehensive training program management.

What are popular job titles related to Hive Learning jobs in Texas?

For Hive Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Hive Learning jobs in Texas look for?

The top searched job categories for Hive Learning jobs in Texas are:

Hive Learning jobs near you
Infographic showing various Hive Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $78,152 per year, or $37.6 per hour.

Data Scientist

PeopleVisor

Irving, TX • On-site

Full-time

Re-posted 21 hours ago

Job description

Peoplevisor is seeking an experienced Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights.
KEY EXPECTATIONS
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

DESIRED SKILLS AND EXPERIENCE
  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • 5-7 years of experience manipulating data sets and building statistical models.
  • Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
    • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
    • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
    • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Employer's Rights:
Peoplevisor, LLC. has the right to revise this job description at any time. This job description is not a contract for employment. This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based upon your performance of the tasks listed in this job description.
Equal Opportunity Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran.
Applications for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Peoplevisor, LLC.

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