• Define and maintain the data model and architecture for HR foundational data in Workday and connected systems • Facilitate and oversee accurate, timely execution of foundational data requests (new orgs, restructures, mergers/divestitures, entity changes) • Develop, implement, and enforce policies, procedures, and best practices for foundational HR data • Establish data quality metrics, dashboards, and automated controls to monitor integrity across systems • Serve as the primary contact for data usage, requests, and governance inquiries • Partner with HR analytics to ensure foundational data supports accurate reporting

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Collaborates with clinical investigators to determine study design, contributes to protocol development, writes statistical analysis plans, makes statistical inference, and writes and presents reports summarizing findings including publications in peer-reviewed journals. - Contributes to manuscripts and/or scientific presentations. - Collaborates with clinical investigators to determine study design. - Writes sections of protocols that require statistical input. - Reviews protocols and case report forms to ensure protocol objectives are met and standards are maintained. - Generates treatment allocations in randomized clinical research studies and ensures proper implementation. - Supports development of statistical analysis plans and programs to perform analyses and display study data. - Performs statistical analyses and writes and validates application programs. - Implements data and safety monitoring reports to ensure participants’ safety. - Generates quality control and operational reports to support clinical operations. - Generates study reports to be distributed to internal and external monitoring committees and regulatory bodies including, but not limited to, Data and Safety Monitoring Board reports, IND annual reports, and Clinical Study reports. - Participates in professional development activities both within and outside the company. - Other duties as assigned. Qualifications - MS in biostatistics, statistics, epidemiology or related field. - Demonstrated proficiency with statistical methods and applications in clinical research. - Strong programming skills in SAS and/or R. - Expertise in state-of-the-art data manipulation and statistical methodology. - Ability to manage multiple tasks. - Ability to work independently as well as in a team environment. - Ability to effectively communicate complex statistical concepts, both written and oral. Benefits - Flexible Approved Time Off - Tuition Reimbursement - 401k Retirement Plan - Work From Home Anywhere in the US - Maternal/Paternal Leave - Casual Dress Code & Work Environment

Location: USA Remote Status: Fully Remote (#LI-Remote) LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world. Position Overview At LivePerson, the Data Scientist II helps advance Conversational AI by applying research and experimentation with Large Language Models (LLMs) to real-world customer interactions. This role designs and executes applied research initiatives, develops effective prompting and orchestration strategies using deep knowledge of transformer architectures, and optimizes modern LLM inference and retrieval pipelines. The scientist analyzes large-scale conversational datasets to improve Retrieval-Augmented Generation (RAG) systems and builds robust experimentation frameworks for evaluating non-deterministic model outputs. Working closely with other scientists and cross-functional teams, this role translates insights on model behavior into recommendations that inform product and business strategy while staying at the forefront of Generative AI advancements. You Will: Key Responsibilities & Impact - Propose, plan, and execute applied research initiatives that will make a real-world impact on Conversational AI using Large Language Models (LLMs) within a commercial setting. - Use expert knowledge of Transformer architecture mechanics (Attention, Tokenization, Embeddings) to consistently find the most effective, efficient, stable, explainable, and elegant prompting and orchestration approaches. - Utilize modern LLM inference and retrieval pipelines. - Analyze large scale conversational datasets for RAG (Retrieval-Augmented Generation) optimization. - Bring research-inspired prompt strategies to life within production systems. - Create durable, flexible scientific evaluation and experimentation capabilities for non-deterministic model outputs. - Present findings on model behavior and context efficacy in ways that inform and guide business and product strategy. - Work closely with other scientists. - Stay current with the rapidly evolving state of Generative AI. You Have: Required Skills & Qualifications Requires a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Operations Research, Industrial Engineering, or a directly related field plus two (2) years of experience as a data scientist. Must have two (2) years of experience in the following (experience may be gained concurrently): - Programming experience in Python - Developing and designing Large Language Model (LLM) interaction flows, evaluation frameworks, or advanced prompting strategies - Partnering with engineering teams to deploy GenAI/LLM solutions into production Must have one (1) year of experience in the following (experience may be gained concurrently): - Experience with Generative AI, including Large Language Models, Prompt Engineering, Retrieval Augmented - Generation (RAG), and Semantic Search/Vector Databases - Researching and implementing advanced prompting techniques, such as Chain-of-Thought or Few-Shot prompting - Experience with dialogue systems and context management - Hands on experience with LLM Orchestration Frameworks, such as LangChain / LangGraph - Experience with Transformer architectures, specifically understanding Attention mechanisms, Context Windows, and Tokenization constraints - Experience with SQL The salary range for this role will be between $120,000 to $145,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications. Our Benefits & Perks We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees. 🏥 Health & Wellbeing - Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs. Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling. 💰 Financial Security & Growth - 401(k) Retirement Plan: To help you plan for your financial future by offering both the plan and a 4% employer match (100% match on the first 3% contribution and 50% match on the next 2% contribution) HSA & FSA Plans: To help you plan for health related expenses on a pre-tax basis - Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth. - Additional Insurances: Basic and supplemental life insurance, Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance. - Development: Access to internal professional development resources. 👨‍👩‍👧‍👦 Time Away & Family Support - Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval. - Paid Public Holidays. - Generous Parental Leave Policy: Including maternity/paternity support and fertility services. 💻 Workplace Flexibility - Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person. Why You’ll Love Working Here As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space. Belonging at LivePerson: Equal Opportunity Employer We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law. Accessibility Commitment LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection. Important Candidate Notice The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets. Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Summary The role of the Collibra Data Governance Specialist is to implement, administer, and enhance enterprise data governance capabilities using Collibra Data Intelligence Cloud. This role will partner with business, data, analytics, and IT teams to establish strong data governance practices, improve data transparency, and enable trusted, compliant data across the organization. The ideal candidate combines hands-on Collibra expertise with a solid understanding of data governance frameworks, metadata management, and stakeholder engagement. We're anticipating future openings and are connecting now with great talent who'd like to be considered when the time comes. Key Responsibilities Collibra Platform Implementation & Administration - Configure and administer Collibra Data Governance and Data Catalog - Customize operating models, domains, communities, assets, and workflows - Implement business glossaries, data dictionaries, and ownership models - Manage Collibra integrations with data platforms, BI tools, and metadata sources Data Governance & Stewardship - Define and operationalize data governance policies, standards, and processes - Support data stewardship and ownership across business domains - Enable data lineage, impact analysis, and data certification - Ensure governance practices support regulatory and compliance requirements Metadata, Lineage & Data Quality - Ingest and manage technical and business metadata - Support automated and manual lineage across systems - Collaborate with data quality teams to surface data quality rules and metrics in Collibra Stakeholder Engagement & Enablement - Work with business and technical stakeholders to onboard data assets into Collibra - Conduct training sessions for data owners, stewards, and users - Promote adoption of Collibra as the system of record for governed data Required Qualifications - 5+ years of experience in data governance, data management, or related roles - 3+ years of hands-on experience with Collibra Data Intelligence Cloud - Strong understanding of data governance frameworks and operating models - Experience working with metadata, lineage, and data cataloging concepts - Excellent communication and stakeholder management skills Preferred Qualifications - Experience integrating Collibra with cloud data platforms (Snowflake, Azure, AWS) - Familiarity with BI and analytics tools (Power BI, Tableau, Looker) - Experience with data quality tools and processes - Knowledge of regulatory requirements (GDPR, CCPA, SOX, etc.) - Collibra certification (Ranger, Governance, or equivalent) Technical Skills - Collibra Data Governance & Data Catalog - Metadata management and data lineage - Data governance operating models and stewardship - Integration with cloud data platforms and BI tools Soft Skills - Strong facilitation and communication skills - Ability to work across business and technical teams - Detail-oriented with a strong governance mindset - Ability to drive adoption and cultural change What We Offer - Opportunity to build and scale enterprise data governance programs - Hands-on work with leading data governance platforms - Collaborative, cross-functional data teams Location Requirements This role is a remote role. To be considered for this position, candidates must reside in one of the following U.S. states: AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. Candidates residing outside these states are not currently eligible for consideration. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa currently. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate’s experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range: $120,000—$150,000 USD FormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy