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Contractual Computer Science Opt Jobs in Katy, TX

EPMA

Network & Telecom Project Manager - Onsite

Houston, TX · On-site

$44 - $56/hr

... C2C, OPT, CPT candidates. Our client is seeking an IT Project Manager to lead the delivery of ... Requirements: * Bachelor's degree in Computer Science, Business, or related field. * 1-4 years ...

JMJ PHILLIP

Project Manager

Houston, TX · On-site

$125 - $155/hr

Develop, maintain, and communicate detailed project schedules aligned with contractual milestones ... Bachelor's degree in Business, Engineering, Computer Science, Project Management, or a related ...

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Jobtailor

Project Manager - EIS

Houston, TX · On-site

$110 - $190/hr

Ensure client contractual commitments per terms and conditions are met. * Recommend and implement ... computer science, engineering, engineering technology or related field, or equivalent via education ...

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eConsultants Inc

Project Manager

Houston, TX · On-site

Oversee financial requirements, scheduling requirements, contractual commitments, and resource and ... Bachelor's Degree in Computer Science or Engineering PMP Certification (preferred) Travel : 25 ...

Socket.dev

Manager, Data and AI Platforms

Houston, TX · On-site

$120 - $180/hr

Ensure MSP resources are aligned with business priorities, platform needs, and contractual ... Bachelor's Degree (accredited) in Computer Science, MIS, Business Administration, or in lieu of ...

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Judge Group, Inc.

QA Automation Engineer

Houston, TX · On-site

$48 - $50/hr

Bachelor's degree in Computer Science, Information Technology, or related field. Desired Skills ... Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

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All JobsContractual Computer Science Opt JobsContractual Computer Science Opt Jobs in Katy, TX

Contractual Computer Science Opt information

What is a contractual computer science opt?

Contractual Computer Science Opts are professionals hired on a contract basis to provide expertise in computer science, often for specific projects or periods of time. The 'Opt' typically refers to Optional Practical Training, which is a temporary employment period for international students in the United States who have completed or are pursuing their studies in computer science. These roles can involve software development, systems analysis, programming, or IT support, and allow organizations to access specialized skills for short-term needs. Contractual arrangements offer flexibility for both the employer and the employee, and are common in the tech industry.

What are the key skills and qualifications needed to thrive as a contractual computer science opt?

To thrive as a Contractual Computer Science Opt., you generally need a solid background in computer science fundamentals, programming languages (such as Python, Java, or C++), and a relevant degree or certification. Familiarity with version control systems like Git, cloud platforms, and project management tools is typically required. Strong problem-solving skills, adaptability, and effective communication set top performers apart in this role. These competencies are crucial for delivering high-quality, efficient solutions within project timelines and collaborating effectively with diverse teams.

What are some common challenges faced by contractual computer science opt, and how can they be addressed?

Contractual Computer Science professionals often navigate challenges such as rapidly changing project requirements, adapting to new team environments, and managing time across multiple assignments. Success in this role typically requires strong communication skills for clarifying project goals, flexibility to quickly assimilate into new technical stacks or workflows, and effective self-management to meet deadlines. Proactively seeking feedback and leveraging collaborative tools can help contractual professionals integrate smoothly with full-time teams and deliver high-quality results.

What is the difference between Contractual Computer Science Opt and Contractual Software Developer?

AspectContractual Computer Science OptContractual Software Developer
CredentialsTypically requires a Computer Science degree, Optional Practical Training (OPT) authorizationRequires a relevant degree, often with coding certifications or experience
Work EnvironmentAcademic institutions, research labs, or tech companies on a temporary basisTech firms, startups, or client-based projects, often project-specific
Employer & Industry UsageCommon for international students in the US during OPT periodWidely used across tech industry for project-based or temporary roles

The Contractual Computer Science Opt is primarily a temporary work authorization for international students in the US, focusing on gaining practical experience during OPT. In contrast, a Contractual Software Developer is a role filled by professionals working on specific projects, often with a focus on coding and software development. While both roles involve computer science skills, the OPT is a visa/work authorization status, whereas the Software Developer is a job position.

Contractual Computer Science Opt jobs near you
Infographic showing various Contractual Computer Science Opt job openings in Katy, TX as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 25% Full Time, 65% Part Time, 5% Contract, and 2% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Lead Data Scientist ( (Not accepting OPT & and H1B))

Inabia Software & Consulting Inc.

Houston, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Hello,
 

Role: Lead Data Scientist

Client: CoAction
Location: Houston, TX 77002
Job Type: Full-Time
Client- Candidate would get to know while being in the interview
Job Description: 
 
About the Organization
Our organization is committed to delivering high-quality, efficient services while creating exceptional experiences for the communities we serve. We value innovation, collaboration, data-driven decision-making, and continuous improvement.
We are seeking an experienced Lead Data Scientist to provide advanced analytical expertise, lead complex data science initiatives, and deliver actionable insights that support strategic and operational decision-making.
Position Summary
The Lead Data Scientist will lead the analysis of complex and unstructured datasets using advanced statistical, analytical, and machine learning techniques.
This individual will provide in-depth data insights for complex business problems, lead cross-functional projects, develop predictive models and algorithms, and translate analytical findings into clear and actionable recommendations for technical and non-technical stakeholders.
The Lead Data Scientist will also provide technical guidance and mentorship to other data scientists and contribute to the development of data science capabilities across the organization.
Key Responsibilities
  • Lead high-priority and complex data science projects that have a significant organizational impact.
  • Analyze structured and unstructured datasets using advanced statistical and analytical techniques.
  • Develop custom data models, algorithms, and predictive solutions to address complex business problems.
  • Apply machine learning and statistical models to key business metrics and operational challenges.
  • Perform research, data analysis, modeling, data mining, visualization, and pattern analysis.
  • Develop and test hypotheses and communicate findings in a clear, precise, and actionable manner.
  • Maintain existing analytical models and evaluate model performance and goodness of fit.
  • Identify opportunities to improve operational efficiency, productivity, scalability, and business outcomes through data.
  • Work closely with cross-functional teams to identify, investigate, and resolve complex data issues.
  • Gather requirements and translate business needs into analytical solutions.
  • Provide technical leadership, coaching, and mentoring to other data scientists.
  • Train broader teams on data science methodologies, tools, and developments.
  • Assist in evaluating data science vendors, technologies, platforms, and tools.
  • Lead multiple projects simultaneously while managing competing priorities and deadlines.
  • Troubleshoot complex analytical and data-related issues and recommend appropriate solutions.
  • Support strategic and operational decision-making through advanced data insights.
  • Perform other duties and projects as assigned.
Desired Skill Set
  • Advanced data science and analytics
  • Machine learning and predictive modeling
  • Advanced statistical analysis
  • SQL and database management
  • Data mining and data visualization
  • Structured and unstructured data analysis
  • Statistical modeling and hypothesis testing
  • Time-series forecasting
  • Regression analysis
  • Clustering and classification
  • A/B testing
  • Data storytelling and visualization
  • Business and technical requirements gathering
  • Project leadership and management
  • Cross-functional collaboration
  • Technical mentoring and team leadership
  • Problem-solving and analytical reasoning
  • Executive and stakeholder communication
Minimum Qualifications
Education
  • Bachelor's degree in Science, Engineering, Computer Science, Mathematics, Statistics, or a related STEM field required.
  • Master's degree in Data Science preferred.
Licenses/Certifications
  • None required.
Experience, Knowledge & Skills
  • Minimum 7 years of professional experience in Data Science.
  • Experience in a hospital, healthcare, medical informatics, healthcare information technology, healthcare finance/revenue cycle, or Electronic Health Record (EHR) data environment is preferred.
  • Strong business analytical skills, including process analysis, modeling, spreadsheets, and workflow analysis.
  • Strong technical, mathematical, and analytical capabilities.
  • Deep understanding of machine learning techniques, including:
    • Clustering
    • Decision tree learning
    • Artificial neural networks
    • Predictive modeling
    • Classification techniques
  • Advanced knowledge of statistical concepts and techniques, including:
    • Regression
    • Statistical testing
    • Probability and distributions
    • Hypothesis testing
    • A/B testing
  • Advanced understanding of the data science project lifecycle.
  • Strong programming skills and experience with statistical analysis tools.
  • Advanced knowledge of SQL and database management.
  • Experience researching and resolving data issues involving large, complex, and incomplete datasets.
  • Exceptional analytical and problem-solving skills.
  • Ability to interpret and communicate complex analytical results.
  • Strong project management skills and ability to independently manage multiple projects.
  • Strong written and verbal communication skills with the ability to communicate effectively with technical and non-technical audiences.
  • Ability to work with minimal supervision in a fast-paced, multidisciplinary environment.
  • Strong customer-service orientation and commitment to producing high-quality analytical work.
  • Ability to manage challenging stakeholder situations and provide effective solutions.
Preferred Healthcare Experience
Candidates with experience working with the following are highly desirable:
  • Hospital or healthcare data
  • Electronic Health Records (EHR)
  • Healthcare IT
  • Medical informatics
  • Healthcare finance
  • Revenue cycle data
  • Clinical or operational healthcare analytics
Ideal Candidate Profile
The ideal candidate will be a senior-level data scientist with 7+ years of hands-on data science experience and strong expertise in advanced analytics, machine learning, statistical modeling, SQL, and predictive modeling.
Candidates who have combined technical data science expertise with healthcare or hospital data experience are especially desirable.
The successful candidate should be comfortable leading complex projects, mentoring other data scientists, working with large and incomplete datasets, and translating sophisticated analytical findings into practical business recommendations.

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