Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Overview The HRIS Analyst provides technical and customer service support for our HRIS (UKG | Workday), IT systems (ServiceNow), and various reporting tools, including the development and distribution of HR metrics, business intelligence reports, and dashboards for Human Resources and the organization. This role will produce reports and ensure data integrity, testing system changes, report writing, security administration, analyzing data flows for process improvement opportunities, and system configuration are completed regularly. *Our organization is currently running on UKG and is transitioning to Workday, hence why we are looking for a foundation of experience with both. This is a fully remote position that offers a competitive salary range of $80,000 to $95,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors. Responsibilities - Partner with Sr. HRIS Analyst and Director, HRIS to create and distribute a variety of weekly, monthly, semi-annual, and annual HR reports and dashboards. - Ensure that HRIS system administration duties are completed continuously (create and manage new locations review, approve, and track salary increases and changes/transfers that require exec approval; maintain role permissions and assignments; review and approve company transfers; update and maintain UKG Onboarding as needed; and review pending requests and remind approvers to review). - Launch several surveys in the HRIS System (Employee Engagement, Performance Reports, Exit Interview, New Hire, etc.). - Create tickets, check tickets, create reports, reconcile records, and troubleshoot issues in ServiceNow. - Establish and maintain access and roles for all employees and contingent workers as needed. - Administer SmartSheet, E-Verify, and DocuSign Templates for HR processes. - Handle all customer service inquiries (respond to questions, troubleshooting, password resets, etc.). - Reconcile employee accounts with IT systems. - Responsible for onboarding and offboarding contingent workers and vendors, and maintaining system access and related information. - Other duties as assigned. Qualifications - Proficiency in UKG (formerly Ultipro) and Workday is required. - Advanced knowledge of Microsoft Excel HR data management is required. - Complex report writing skills required. - Strong project management skills, including prioritizing, balancing, and managing multiple efforts with strong results necessary. - Excellent written and verbal communication skills. - A customer-focused individual who must effectively work in a fast-paced & fluid business environment with competing priorities. - Proven critical thinking and analytic skills. - Must be self-motivated, highly organized, with the ability to prioritize independently while demonstrating a sense of urgency. - Ability to produce accurate work under pressure and meet time-sensitive deadlines. - Ability to exercise confidentiality, tact, and independent judgment in the performance of duties. Education and Experience: - A Bachelor's degree is preferred, with a minimum of five (3) years of hands-on HRIS experience required. - Prior experience working with the various modules and reporting in Workday and UKG is required (Core, Onboarding, Performance, Payroll, Time Management, Employee Voice, Benefits Prime, Compensation, etc.). - Demonstrated experience with complex report writing and building, editing, and running complex reports in Cognos BI and Microsoft BI. - Experience creating dashboards in Tableau using SQL and other programs or applications. - System admin experience in ServiceNow, iCIMS is a plus. Lakeview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence, and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law. #LI-Remote