The job profile for this position is Data Science Director, which is a Band 5 Management Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. Summary As the Data Science Director for Precision Trend R&D, you will be the technical and strategic driver behind this transformation. You will architect and implement next‑generation analytics that augment actuarial rigor, improve reserve accuracy, accelerate speed‑to‑insight for FP&A, and surface emerging cost pressures earlier than ever before. Your work will directly influence enterprise‑level decisions and strengthen financial predictability for our clients, regulators, and business partners. As healthcare dynamics shift rapidly—including clinical innovation, utilization pattern changes, AI‑driven billing behavior, and evolving provider economics, traditional actuarial methods are increasingly challenged in their ability to deliver precision, speed, and predictability. We now have an unprecedented opportunity to reimagine how the enterprise predicts and manages medical risk cost, claim reserves, trend projections and financial forecasts. This role sits at the intersection of deep technical mastery, enterprise leadership, and multi-domain influence. The work you lead will be visible to senior and business leadership and will materially shape how the organization measures, interprets, and manages financial risk. Responsibilities - Leadership in Data Science: Lead the design, development and deployment of advanced statistical and machine learning models to support reserving, trend analytics, and FP&A projections - Innovation & Experimentation: Introduce novel modeling techniques and approaches to enable trend anomaly detection, leading indicator models, and predictive frameworks for claim lifecycle and utilization patterns - Technical Expertise: Maintain deep technical fluency in Data Science and Analytics technologies and best practices - Cross-Functional Collaboration: Partner with Actuarial, Finance, Clinical, and Data & Analytics teams to co-create solutions that integrate seamlessly into actuarial workflows - Communication: communicate findings and strategic insights effectively to technical audience and senior leadership across multiple domains, empowered by data visualization tools and technologies - Governance: Ensure models meet ASOP rigor and model lifecycle governance standards, including documentation, validation, back-testing, monitoring and audit readiness - Leadership: Manage and mentor the Data Science Senior Advisor, fostering a culture of curiosity, innovation, and disciplined delivery Qualifications - 10+ years' of progressive experience in Data Science with a focus on Healthcare highly desirable - Expert proficiency in Python, R, SQL, Git, cloud-based ML development, and experience with big data platforms (Databricks, Spark) - Proven experience in applying statistical methods, machine learning and NLP models to complex datasets - Expertise in techniques such as regression, decision trees, boosting algorithms, neural networks, clustering, and anomaly detection - Familiarity with healthcare payer data and actuarial applications - Experience with dashboarding and visualization tools (Tableau, Power BI) - Excellent communication skills with the ability to present to senior and business leadership - Strong leadership and experience with mentoring and developing data science talent - Advanced degree in Data Science, Statistics, Computer Science, or related field, or equivalent experience is highly desirable If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate offering an annual salary of 178,500 - 297,500 USD / yearly, depending on relevant factors, including experience and geographic location. This role is also anticipated to be eligible to participate in an annual bonus plan and long term incentive plan. At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Provider Data Specialist I--------------------------------------------------------------- This position is responsible for providing product support to provider data within the QNXT module. Primary tasks include adding, maintaining, and updating provider data records, as well as assistance with database integrity. Accurate and timely provider data plays a critical role in the success of claims payment, OHA Health Systems (DMAP) and CMS encounter data submission, PCP assignment, authorization processing, credentialing, IRS reporting, regulatory projects, and the provider directory. Estimated Hiring Range: $22.82 - $27.89 Bonus Target: Bonus - SIP Target, 5% Annual Current CareOregon Employees: Please use the internal Workday site to submit an application for this job. --------------------------------------------------------------- Essential Responsibilities Provider Database Maintenance - Perform accurate and timely data entry into provider database, following Provider Data policies and procedures. - Provide data management and process knowledge to the organization; assist with projects. - Investigate and resolve provider and provider contract pending claims as requested by more advanced Provider Data staff; apply claims policies and procedures. - Monitor call and email queues by reviewing requests and communicating clearly and timely with contracted provider offices and internal customers; research demographic and affiliations changes; make updates to provider database reflecting new information once validated. - Manage monthly provider rosters received from contracted hospital systems and IPAs by investigating changes and validating information prior to updating QNXT; consult with advanced Provider Data staff to clarify information. - Complete provider database projects resulting from contracting, configuration, or regulatory changes. - Sort incoming faxes, PIVs and distribute according to assignments. - Maintain SharePoint libraries according to unit protocols. - Enroll providers with OHA Health Systems using MMIS web enrollment portal. - Reroute critical pieces of return mail including 1099s, live checks and remittance advice by investigating demographic discrepancies and reflecting changes in QNXT. - Create and maintain security access for provider web portal; troubleshoot and investigate provider portal issues when they arise. Provider Database Integrity - Troubleshoot provider setup to support provider reporting, directory, and claims operation. - Perform testing of new software versions. Experience and/or Education Required - Minimum 1 years’ experience with data entry, data management, or credentialing Preferred - 2 years' experience working in health care/insurance - Experience with managed care and/or project participation Knowledge, Skills and Abilities Required Knowledge - Familiarity with relational databases - General understanding of or ability to learn managed care and Oregon Health Plan concepts - Familiarity with Microsoft Office Suite products, especially Excel Skills and Abilities - Ability to learn and effectively navigate claims processing technologies, such as QNXT and Facets - Ability to learn and effectively navigate document management and collaboration platforms, such as SharePoint and Office 365 - Ability to follow policies and procedures in performing job responsibilities - Ability to develop skills around troubleshooting data integrity issues and root cause - Ability to learn how to author and maintain process documentation - Proficient communication skills, including listening, verbal, written, and customer service - Ability to articulate instructions - Learning to convey appropriate level of detail effectively to multiple levels of the organization including non-technical staff - Ability to learn to appropriately communicate status and needs - General ability to learn to handle multiple priorities and requests - Demonstrates general initiative and motivation - Ability to effectively collaborate with coworkers - Attention to details and deadlines - Ability to learn to see the big picture - Developing organizational skills - Ability to prioritize work based on direction - Ability to develop analytical and research skills - Ability to maintain a positive attitude - Ability to learn governance and process - Ability to work effectively with diverse individuals and groups - Ability to learn, focus, understand, and evaluate information and determine appropriate actions - Ability to accept direction and feedback, as well as tolerate and manage stress - Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day - Ability to hear and speak clearly for at least 3-6 hours/day Working Conditions Work Environment(s): ☒ Indoor/Office ☐ Community ☐ Facilities/Security ☐ Outdoor Exposure Member/Patient Facing: ☒ No ☐ Telephonic ☐ In Person Hazards: May include, but not limited to, physical and ergonomic hazards. Equipment: General office equipment Travel: May include occasional required or optional travel outside of the workplace; the employee’s personal vehicle, local transit or other means of transportation may be used. Work Location: Work from home Schedule: Monday - Friday, 8:00 AM to 5:00 PM We offer a strong Total Rewards Program. This includes competitive pay, bonus opportunity, and a comprehensive benefits package. Eligibility for bonuses and benefits is dependent on factors such as the position type and the number of scheduled weekly hours. Benefits-eligible employees qualify for benefits beginning on the first of the month on or after their start date. CareOregon offers medical, dental, vision, life, AD&D, and disability insurance, as well as health savings account, flexible spending account(s), lifestyle spending account, employee assistance program, wellness program, discounts, and multiple supplemental benefits (e.g., voluntary life, critical illness, accident, hospital indemnity, identity theft protection, pre-tax parking, pet insurance, 529 College Savings, etc.). We also offer a strong retirement plan with employer contributions. Benefits-eligible employees accrue PTO and Paid State Sick Time based on hours worked/scheduled hours and the primary work state. Employees may also receive paid holidays, volunteer time, jury duty, bereavement leave, and more, depending on eligibility. Non-benefits eligible employees can enjoy 401(k) contributions, Paid State Sick Time, wellness and employee assistance program benefits, and other perks. Please contact your recruiter for more information. We are an equal opportunity employer CareOregon is an equal opportunity employer.  The organization selects the best individual for the job based upon job related qualifications, regardless of race, color, religion, sexual orientation, national origin, gender, gender identity, gender expression, genetic information, age, veteran status, ancestry, marital status or disability. The organization will make a reasonable accommodation to known physical or mental limitations of a qualified applicant or employee with a disability unless the accommodation will impose an undue hardship on the operation of our organization.

The Data File Coordinator is responsible for working all lender extract files after they have been imported into the tracking system and ensure they are done prior to the lender cycle date. They are also required to report any suspect extract via helpdesk tickets and keep all necessary parties aware of any issues. They are also required to assist in special projects as needed and support the supervisor, team leader, and data file specialist team by providing training. Job Duties and Responsibilities: File Maintenance Review - Process basic administrative reports for Vehicle and Mortgage portfolios and extract reports for accounts as assigned. - Process Agreement to Provide (ATP) forms as assigned - Communicate to supervisors, lender administrators, and/or managers file issues and status - Resolve problems within scope of authority according to policy and procedures Data Entry - Process vehicle and mortgage extracts for new lenders - Communicate any issues to the appropriate departments Mentor - Provide work direction and routine leadership on team projects - Teach others in specialized skills or procedures Process Efficiency - Update tracking tools/programs used in reference to the position - Assist other departments with call outs, reports, and special projects Qualifications (Education, Experience, Certifications & KSA): - High School Diploma or GED required - 3 – 4 years related experience The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job. We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. To view our privacy statement click here To view our terms and conditions click here

Company Description Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description Cint is seeking a Senior BI Data Architect (Infrastructure & Optimization) to lead the technical evolution of our data platform for a period of Six Months Fixed-Term Contract. This is a hands-on architecture role at the intersection of data engineering and business intelligence — one where your decisions will directly shape how the business operates and makes decisions at scale. You will own the design and implementation of our Databricks Lakehouse, drive the migration of complex legacy SQL into clean, governed pipelines, and build the semantic layer that powers self-service analytics in Omni. If you are energized by performance optimization, dimensional modeling, and infrastructure that lasts — this role was built for you. Responsibilities - Design and implement the Unity Catalog structure — Catalogs, Schemas, and Volumes — to create a governed, secure, and well-documented data environment that serves as a Single Source of Truth across the organization. - Lead the migration of complex business logic from legacy systems into a unified Databricks Lakehouse, refactoring tightly coupled SQL into modular, maintainable, and performant code. - Architect our internal transformation framework using open-source tooling (Delta Live Tables or custom Python/SQL Spark pipelines), building scalable pipelines without reliance on managed SaaS platforms. - Serve as the resident query performance expert — analyze Spark execution plans and Spark UI to diagnose bottlenecks, reduce data skew, and optimize join strategies on large-scale datasets. - Govern our Databricks compute footprint through strategic application of Z-Ordering, Liquid Clustering, partition design, and Serverless SQL Warehouse configurations to maximize performance per dollar. - Build and maintain CI/CD pipelines (GitHub Actions or equivalent) to automate testing, validation, and deployment of data models. - Architect the semantic layer in Omni — designing data models built for self-service reporting with sub-second dashboard latency. - Occasionally take on the BI Developer role, building executive-level dashboards that surface clear, actionable narratives from complex datasets. - Partner with cross-functional stakeholders across Finance, Sales, Product, Marketing, and Trust & Safety to translate business questions into scalable data solutions. - Translate performance and cost metrics into clear recommendations for senior leadership, balancing engineering rigor with business impact. Qualifications Qualifications Required - 8+ years in Data Engineering or Data Architecture, with deep, hands-on experience in the Databricks ecosystem (Unity Catalog, Delta Lake, SQL Warehouses). - Expert-level SQL and distributed computing skills — you can diagnose exactly why a query is slow and implement the fix across Spark execution plans, joins, and data skew scenarios. - Demonstrated experience in query optimization and data platform migration, including refactoring legacy SQL and migrating from systems such as Snowflake, Redshift, or SQL Server into a Lakehouse architecture. - Proven experience building data transformation workflows using Delta Live Tables or custom Python/SQL Spark pipelines. - Strong command of dimensional modeling (Star and Snowflake schemas) and how to apply these patterns within a Lakehouse environment. - Hands-on Unity Catalog experience, including permissions management, data lineage, and catalog governance. - Fluency with Delta Lake internals — OPTIMIZE, Z-Order, Liquid Clustering, VACUUM, and file management strategies. - Hands-on experience with Omni or a comparable modern BI semantic layer (Looker, Metabase, Superset) — you can build and govern a semantic model, not just consume one. - Experience with CI/CD pipelines and version control workflows (Git / GitHub Actions or similar). Essential Qualities - You think in systems, not just queries — you design for reuse, performance, and longevity. - You are comfortable navigating ambiguity and can move from whiteboard to working pipeline without waiting for perfect specifications. - You can distill complex technical trade-offs into language that lands with non-technical senior stakeholders. - You are self-directed and ownership-driven — you treat the data platform as your own product. - You can balance the competing needs of different departments while maintaining a unified data standard. Nice to Have - Experience with dbt Core (OSS) or a similar SQL-based transformation framework; familiarity with transformation layer best practices is a strong asset. - Familiarity with Databricks Genie Spaces or AI/BI features for natural language querying. - Experience supporting embedded analytics or multi-tenant reporting environments. - Background in the digital insights, market research, or programmatic technology space. Additional Information #LI-Remote #LI-JM1 Our Values Collaboration is our superpower - We uncover rich perspectives across the world - Success happens together - We deliver across borders. Innovation is in our blood - We’re pioneers in our industry - Our curiosity is insatiable - We bring the best ideas to life. We do what we say - We’re accountable for our work and actions - Excellence comes as standard - We’re open, honest and kind, always. We are caring - We learn from each other’s experiences - Stop and listen; every opinion matters - We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com) Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.