Qualis1 Inc.

About the Company

At Qualis1 Inc., our robust business model is strategically built upon serving diverse industry sectors, including Finance, Health Care, Education, State Government, and Manufacturing. This structured approach not only ensures our financial stability but also empowers us to consistently support our valued employees and exceed our clients’ expectations. Our commitment to excellence drives every aspect of our operations, enabling us to deliver tailored solutions and unparalleled service across various industries.

Listed Jobs

Company Name

Qualis1 Inc.

Job Title

Data Scientist

Job Description

**Job Title**: Senior Data Scientist **Role Summary**: Lead advanced data mining, statistical modeling, and machine learning initiatives. Transform complex datasets into actionable insights, design and validate predictive models, and communicate findings to business stakeholders while ensuring data privacy and compliance. **Expectations**: - Deliver robust models that solve key business problems. - Maintain data privacy, security, and regulatory standards. - Communicate insights clearly to non‑technical stakeholders. - Mentor junior data scientists and analysts. **Key Responsibilities**: - Analyze large, complex datasets to uncover meaningful patterns. - Develop and validate machine‑learning models (regression, clustering, decision trees, SVM, etc.). - Collaborate with IT and data engineering teams to manage data pipelines and ensure data quality. - Translate analytical findings into clear, actionable business recommendations. - Ensure compliance with data privacy, security, and industry guidelines. - Partner with internal stakeholders and external experts to drive data‑driven solutions. **Required Skills**: - Proficiency in Python and R programming. - Strong SQL skills for data extraction and manipulation. - Expertise in statistical modeling and machine‑learning techniques (regression, clustering, decision trees, SVM). - Experience with advanced analytics tools (scikit-learn, TensorFlow, PyTorch, SAS, etc.). - Knowledge of data privacy and security best practices (GDPR, CCPA, HIPAA). - Excellent communication and stakeholder‑management abilities. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related discipline (required). - Master’s or Ph.D. in a quantitative field strongly preferred. - Relevant certifications (Certified Data Scientist, SAS Certified Statistical Business Analyst, or equivalent) highly desirable.

St louis, United states

Hybrid

12-03-2026

Company Name

Qualis1 Inc.

Job Title

Salesforce Architect

Job Description

**Job Title:** Salesforce Architect **Role Summary:** Lead end‑to‑end Salesforce architecture across Sales, Service, Experience, and Analytics clouds. Design and govern integration, data, security, and performance strategies for large‑scale enterprise implementations, ensuring alignment with business objectives and technical standards. **Expectations:** - Deliver scalable, secure, and high‑performance Salesforce solutions. - Define and maintain technical roadmaps and governance frameworks. - Drive best‑practice adoption across development and delivery teams. - Mentor stakeholders on architecture decisions and capacity planning. **Key Responsibilities:** - Architect end‑to‑end Salesforce solutions across multiple clouds. - Design API‑led, event‑driven integration patterns and data models. - Define security governance, data ownership, and compliance requirements. - Produce high‑level and low‑level design documents (HLD/LLD). - Review existing implementations, identifying performance, security, and reusability improvements. - Establish reference architectures, guardrails, and solution best practices. - Collaborate with enterprise architects, product owners, and delivery teams to support estimation and planning. - Ensure CI/CD pipeline quality using Copado, Jenkins, or similar tools. - Champion DevOps practices, monitoring, and debugging across Salesforce environments. **Required Skills:** - Enterprise Salesforce architecture across Sales, Service, Experience, and Analytics clouds. - API‑led and event‑driven integration design. - Data modeling, data governance, and security architecture. - Performance tuning and scalability considerations. - Documentation: HLD, LLD, solution blueprints. - CI/CD (Copado, Jenkins), Git, Jira, and automation pipelines. - Salesforce DevOps, monitoring, and debugging tools. - Strong communication and stakeholder management. **Required Education & Certifications:** - Salesforce Certified Platform Developer I or II. - Salesforce Certified Application Architect (preferred). - Bachelor’s degree in Computer Science, Information Technology, or related field.

Boston, United states

On site

18-03-2026