About the Role Liquid Web is hiring a Data Scientist to power our volumetric, subscription-driven growth engine (hosting, commerce, and software). This role owns the models and measurement systems connecting marketing spend to conversion, retention, and LTV, with a critical emphasis on ICP-specific economics (agencies, SaaS, ecommerce, and mission-critical buyers). You aren’t just a "dashboard builder." You are a Data Anthropologist. You look past the rows in Snowflake to see the human stories—the friction points that cause churn, the "aha" moments that trigger an upgrade from VPS to Dedicated, and the behavioral patterns that separate a hobbyist from a mission-critical enterprise buyer. You’ll build and operationalize LTV and churn models, develop marketing attribution approaches, and partner across Marketing, Product, RevOps, and Finance. You will also help hire and lead a reporting team, setting the standard for metrics, dashboards, and governance in Power BI. This Job is For You If: - You speak "Finance" and "Creative" fluently. You can explain $LTV$ to a CFO and conversion attribution to a Copywriter without losing the soul of either. - You are a "Pattern Hunter." You don't just report that churn happened; you find the "Silent Churn" indicators three months before the customer even thinks about canceling. - You loathe "Vanity Metrics." You find no joy in "Total Page Views." You live for Contribution Margin and Cohort Payback Periods. - You’re a Power BI Poet. Your DAX is elegant, your star schemas are pristine, and your dashboards tell a story so clear that an executive can understand the "Why" in under ten seconds. What You’ll Do - Subscription Economics & LTV Modeling: Build predictive LTV models accounting for upgrades, churn, and margin. Develop payback and CAC views to support budget allocation and align with Finance on contribution LTV and time horizons. - Expansion Strategy (Upsell & Cross-sell): Model the triggers and pathways for account expansion. Develop propensity-to-buy models for add-ons (security, storage, backups) and build data-driven upgrade paths (e.g., VPS to Dedicated) to maximize customer wallet share. - ICP & Segmentation Modeling: Define and operationalize ICP segmentation using firmographic, behavioral, and intent signals. Create a decision framework to quantify ICP-specific retention, plan mix, and support costs. - Attribution & Measurement: Design multi-touch attribution (MTA) models calibrated with incrementality methods like geo-tests and holdouts. Improve full-funnel measurement from first touch through activation and retention. - Data Foundation & Reliability: Partner with Marketing Ops to ensure clean event tracking (GTM, dataLayer, UTMs). You'll be the guardian of the dataLayer, ensuring that what we see in GTM actually reflects reality in Snowflake. - Power BI Reporting & Governance: Own executive-ready reporting, including KPI scorecards and cohort views. Maintain semantic models using DAX, ensuring star schema design, query folding, and incremental refreshes for scalability. - Team Leadership: Help hire and coach a reporting and analytics team. Establish operating rhythms (WBR/QBR) and set standards for dashboard design, documentation, and storytelling. What Success Looks Like (6–12 Months) - Liquid Web utilizes a defensible LTV and payback model for all spend decisions. - LTV:CAC and payback are reported accurately by both ICP and channel. - Expansion metrics (upsell/cross-sell velocity and attachment rates) are visible and actionable for Marketing and Sales. - Power BI serves as the governed, trusted "source of truth" across the organization. Required Qualifications - Experience: 5+ years in Data Science or Growth Analytics within a subscription-based business. - Modeling: Proven track record building LTV, churn, and ICP segmentation models tied to revenue outcomes. - Revenue Growth: Demonstrated ability to analyze and optimize upsell/cross-sell funnels and product attachment rates. - Tech Stack: Advanced SQL and proficiency in Python/R. Expert-level Power BI (DAX and semantic modeling) and experience with Snowflake (or similar cloud warehouses). - Instrumentation: Familiarity with GTM tags, event schemas, and the flow of web/billing data into a warehouse. - Communication: Strong cross-functional leadership and executive-ready presentation skills. Nice-to-Have - Experience in hosting, cloud infrastructure, or developer-led products. - Pricing and packaging analytics (promo impact, add-on attachment). - Knowledge of privacy-centric measurement (server-side tagging, modeled conversions). Working Style - Builder Mindset: Comfortable moving from messy data to reliable, automated systems. - The "So What?" Specialist: You never deliver a chart without an insight. You understand that data without a recommendation is just noise. - Pragmatic: Knows when a calibrated "good enough" measurement beats a complex, fragile model. - Collaborative Leader: Able to influence without authority and level up a team through high standards. Work Environment The physical demands described here are representative of those that must be met by an individual to successfully perform the essential duties of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. - While performing the essential duties of this job, the individual is regularly required to speak and hear - While performing the essential duties of this job, the individual is regularly required to use hands for keyboarding, gross manipulation, and fine manipulation - Works at a desk and computer screen for extended periods of time - Works in a traditional climate controlled office environment or from home - Works in a highly stressful environment dealing with a wide variety of challenges, deadlines and diverse employee population Disclaimer This job description is only a summary of the typical functions of the position. It is not intended to be an exhaustive or comprehensive list of all job responsibilities, tasks, or duties. Additional duties and tasks may be assigned as part of the job function. Liquid Web Inc. reserves the right to modify, interpret, or apply this job description in a way that best supports the organizational needs. The job description in no way creates or implies an employment contract. The employment contract remains “at will”. Equal Employment Opportunity Policy: Liquid Web is committed to offering equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.

• Translate RFQ scope and OEB objectives into a solution blueprint spanning ingestion, storage, access, and analytics for DB/DC/Health benefits data • Design the secure, cloud-based Data Hub architecture (AWS, Databricks, Redshift, Glue, cataloging) optimized for performance, scalability, data quality, and resilience • Produce logical and physical data models for structured/semi-structured sources from third-party recordkeeper and internal systems, ensuring IV&V testability • Define standards for file formats, schemas, metadata, data versioning, and reconciliation patterns supporting analytics, IV&V, and audit readiness • Design and prototype ingestion pipelines, transformation jobs, and storage layouts aligned to architecture and IV&V requirements • Advise on query optimization, clustering/partitioning, workload management, cost controls, and monitoring for DB/DC/Health datasets in Redshift and Databricks • Support troubleshooting of data-quality or performance issues identified during IV&V and testing • Partner with Governance, Security, and IV&V leads to ensure delivery within the June–November term and support the November 2026 go-live goal.

• Lead complex R&D initiatives: drive research and innovation in LLMs, NLP, machine learning, and graph analytics, turning advanced techniques into production-grade solutions. • Own the full data science lifecycle: from discovery, framing, and exploration to deployment, customer delivery, and long-term monitoring. • Shape ambiguous challenges into well-defined problem statements and design practical, state-of-the-art solutions aligned with business and regulatory needs. • Engage directly with customers and stakeholders: collaborate to co-design use cases, set success metrics, and ensure solutions are adopted, measurable, and impactful. • Mentor and guide peers: elevate technical excellence, foster knowledge-sharing, and set best practices for experimentation, testing, and deployment. • Prototype rapidly: explore new ideas and validate hypotheses quickly, while balancing innovation with scalability and maintainability. • Ensure production success: design, implement, and optimize pipelines for data integration, validation, monitoring, and retraining to sustain long-term model performance. • Communicate effectively: distill technical complexity into compelling business insights, helping stakeholders make informed decisions. • Champion excellence in execution: enforce best practices in MLOps, DataOps, and software engineering to deliver reproducible, maintainable, and scalable solutions.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled Principal Data Engineer to lead the design, development, and optimization of large‑scale data platforms and analytical solutions. The ideal candidate will have deep expertise in MSSQL, AWS cloud services, Data Warehousing, Python, Airflow, and overall data management best practices, with a strong ability to lead teams, define architecture, and drive data strategy across the organization. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Technical Leadership - Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows - Lead end‑to‑end data engineering efforts, ensuring reliability, performance, and cost‑efficient data systems - Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration - Collaborate with cross‑functional teams (analytics, product, engineering, business) to align data solutions with business goals - Data Engineering & Pipeline Development - Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow - Manage large-scale data ingestion, transformation, and orchestration frameworks - Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems - Cloud & Infrastructure - Develop and manage cloud‑native data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.) - Ensure high availability, disaster recovery, and monitoring of critical data workflows - Implement CI/CD, infrastructure‑as‑code, and DevOps practices for data engineering workloads - Data Warehousing & Modeling - Design and enhance enterprise data warehouses and data marts following industry best practices - Drive dimensional modeling, data partitioning, performance tuning, and metadata management - Ensure consistency and quality across analytical datasets and data sources - Data Governance & Quality - Establish data quality frameworks, lineage tracking, validation checks, and documentation - Implement governance standards including security, compliance, and access control - Partner with business stakeholders to define and enforce master data and reference data strategies - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor’s degree in CS or IT related field - 10+ years of experience in Data Engineering, with at least 3+ years in a senior/principal‑level role - 7+ years of experience in MSSQL—query optimization, indexing, stored procedures, performance tuning - 7+ years of experience in Data Warehousing, ETL/ELT, and big‑data processing - 5+ years of hands‑on experience with AWS Cloud for data architecture and pipeline development - 5+ years of extensive experience with Airflow for workflow orchestration - 3+ years of experience in Python for data engineering (Pandas, PySpark, etc.) - 2+ years of experience in data management principles: governance, quality, lineage, and security Preferred Qualifications: - Excellent leadership, communication, and cross‑team collaboration skills. - Ability to translate business needs into scalable technical designs. *All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location, and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #RPO #GREEN