Make a difference. Be happy. Grow your career. The Role ​​Nordic, repeat Best in KLAS IT Services Firm and solely serving the healthcare industry, strives to empower healthcare providers to leverage technology and to realize digital transformation. All Nordic staff embrace Nordic’s maxims and mission to serve our customers who care so well for us. Key Responsibilities The Senior Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The Senior Data scientist should also have some awareness about Gen AI & Agentic AI concepts, and have a point of view on how the traditional data science workflows can evolve harnessing power of Generative AI & Agentic AI. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team. Essential Job Functions - Collaborates with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools. - Effectively communicates the analytics approach and how it will meet and address objectives to business partners. - Advocates and educates on the process and reasoning for solving problems with data-driven decision making. - Leads analytic approaches to integrate work into applications and tools with data engineers, business leads, analysts and developers. - Creates repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products. - Engineers features by using business acumen to find new ways to combine disparate internal and external data sources. - Identifies and develops long-term processes, frameworks, tools, methods and standards. - Collaborates and learns with a growing team of experienced data scientists. - Stays connected with external sources of ideas through conferences and community engagements. Skills and Experience - Generally, requires a Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience. - Masters, Data Science, Computer Science, Engineering, or Statistics (preferred) Doctorate, Data Science, Computer Science, Engineering, or Statistics (preferred) Minimum Years of Experience - 8+ years' experience in a data science role (required) - 8+ years' experience in a data engineering, analyst, or architecture role (required) - 8+ years' experience in a data science role (preferred) Other Knowledge, Skills and Abilities Required - Python - SQL, Databricks - Machine Learning concepts and engineering tools - Good grasp of Generative AI and Agentic AI concepts - Model deployment and maintenance - BI tools (e.g., Tableau, PowerBI) - Attention to detail - Critical thinking - Relationship building - Ability to work with technical and non-technical stakeholders - Requirements translation - Agile work process - Continuous learner #LI-JD1 Nordic is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of all backgrounds to apply, including women, minorities, individuals with disabilities, and veterans.

The Data Measurement & Reporting Advisor provides expert content/professional leadership on complex Data Measurement & Reporting assignments/projects for the Out-of-Network Protection Team (ONPT). Specific focus on Out of Network pricing and No Surprises Act (NSA) business data. Delivers analytical and operational reporting, business performance measurement and management dashboards through the use of portals and self-service tools across the organization. Creates and delivers automated solutions driving relevant insights in partnership with Business Analytics and IT. Provides guidance on end-user needs, informs reporting solution design, and fulfills data and measurement requests in support of business priorities. Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives. Uses deep professional knowledge and acumen to advise functional leaders. Focuses on providing thought leadership within Data Measurement & Reporting, but works on broader projects, which require an understanding of the wider business. Recognized internally as a subject matter expert. ​Analytics & Data Analysis - Leverage data to answer business questions by identifying data needs, extracting data from relevant sources, and performing detailed analysis - Use technical expertise (e.g., SQL, Python) and analytical tools to explore operational data, identify trends, drivers, and outliers, and explain performance outcomes - Support testing and monitoring efforts by defining metrics, tracking performance indicators, and identifying emerging issues Reporting & Visualization - Design, build, and maintain standardized reports and dashboards that support ONPT operations & decision‑making - Enable self-service analytics by creating clear, well-structured reporting solutions using business intelligence tools - Continuously enhance existing reports to improve clarity, usability, performance, and insight generation Data Quality & Foundations - Ensure data accuracy, consistency, and reliability through validation, reconciliation, and quality checks - Develop and maintain documentation for datasets, metrics, and reporting logic to support transparency and reuse Operational Support & Automation - Respond to ad hoc analytical requests while identifying opportunities to standardize or automate recurring analyses - Build repeatable queries, scripts, and datasets to reduce manual effort and improve turnaround time - Support ongoing operational performance management through KPI tracking and recurring analytics deliverables Collaboration & Communication - Partner closely with cross-functional stakeholder groups to align analytics outputs with business needs - Provide guidance and analytical expertise on recurring data questions and reporting challenges Basic Qualifications - Advanced proficiency in SQL and Python- including complex joins, subqueries, and performance optimization - Experience with business intelligence and data visualization tools (e.g., Tableau, Power BI) - Strong analytical and problem-solving skills with the ability to explain complex data clearly - Excellent written and verbal communication skills - Ability to deal with ambiguity, troubleshoot autonomously, and work through problems independently Preferred Qualifications - Proficiency in web scraping, OCR, and other unstructured data retrieval methods - Experience working with large or enterprise-scale‑ data platforms (e.g., Teradata, Oracle, SQL Server, Databricks) - Familiarity with Agile delivery models and work management tools - Claims data experience, though overall data acumen is more important 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 96,700 - 161,100 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. 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. About Cigna Healthcare Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives. 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. If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

• Support the Data Science team in the following activities: • Understand and translate business requirements into statistical modeling products • Organize, structure, and document projects from start to finish • Build statistical models appropriate to each need • Deepen business knowledge to anticipate the best use of proposed solutions • Create monitoring reports for the constructed statistical models • Communicate and present results to both technical teams and business areas

Role Description We are seeking an exceptional Data Scientist to work at the intersection of applied statistics, data science, and educational analytics. In this role, you will own the quantitative rigor behind our AI-powered literacy platform — designing and validating the statistical models, pipelines, and experiments that determine how millions of students are assessed and supported in learning to read. You will collaborate closely with AI engineers, product managers, and external partners to ensure our measurement systems are statistically sound, interpretable, and continuously improving. This is a high-impact, technically deep role for someone who thinks rigorously about measurement and analytics, and loves building things that matter. Essential Functions - Statistical Modeling & Validation - Design and validate models underlying adaptive assessment systems, automated scoring pipelines, and real-time diagnostic feedback. - Develop and maintain automation pipelines for evaluating the impact of system changes on downstream score distributions and student classifications. - Apply and extend a variety of state-of-the-art statistical models and approaches to estimate student performance, growth, and score trajectories. - Develop simulations to evaluate and validate assessment design decisions. - Conduct rigorous validity and reliability analyses on data from early reading/literacy assessments. - Data Science & ML Collaboration - Partner with ML engineers to design experiments validating AI scoring models, including automated speech recognition, NLP-based scoring, and adaptive algorithm performance. - Build AI-powered data pipelines and analytical tooling to monitor score quality, flag anomalies, and support continuous improvement of assessment models. - Use AI-assisted development tools — including Cursor, Claude Code, and similar platforms — as core parts of your daily workflow; comfort and enthusiasm for these tools is essential. - Develop and validate norm-referenced and criterion-referenced score reporting frameworks grounded in statistical best practices. - Conduct linking, equating, and comparability studies to ensure consistent score interpretation across years, cohorts, and assessment variants. - Research, Communication & External Engagement - Translate complex statistical methodology and results into clear, compelling narratives for non-technical audiences including school district leaders and state procurement teams. - Contribute to technical reports, white papers, and RFP responses demonstrating statistical rigor and validity evidence. - Support ongoing research addressing the unique challenges of AI-powered formative literacy assessment at scale. - Continuous Learning Systems - Oversee data collection frameworks and longitudinal analytical designs that support ongoing model improvement. - Monitor assessment system performance across diverse student populations, and produce solutions to alleviate issues of fairness and equity. - Collaborate cross-functionally to deliver analytical insights that directly inform product decisions and instructional recommendations. Qualifications - Master's or Ph.D. in Statistics, Data Science, Quantitative Social Science, Applied Mathematics, Educational Measurement, or a closely related field. - 5+ years of hands-on experience applying statistical and data science methods in applied, production settings (educational assessment experience is a strong plus). - Deep expertise in applied statistics: generalized linear models, mixed-effects models, latent variable modeling, Bayesian methods, and survival/longitudinal analysis. - Fluency in R and/or Python for statistical modeling, data manipulation, simulation, and reproducible research. - Strong foundation in experimental design, causal inference, and A/B testing methodology. - Experience with measurement models (e.g., item response models, classical test theory analogs, diagnostic classification models) expressed in statistical terms. - Proficiency with NLP, automated speech assessment, or similar AI applications a strong plus. Requirements - Actively uses AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot, or similar) in your daily workflow — not just familiar with them, but genuinely enthusiastic about and reliant on them. - Comfortable iterating rapidly using AI pair-programming, prompt engineering, and code generation to accelerate statistical analysis and pipeline development. - Experience building or contributing to data science infrastructure in cloud or distributed environments. - Familiarity with version control (Git), reproducible research pipelines, and collaborative code review practices. - Exceptional ability to communicate complex quantitative findings to technical and non-technical stakeholders alike. - Familiarity with K–12 education data, federal/state assessment regulations, or AI governance frameworks a strong plus. - Experience with literacy assessment, oral reading fluency, or early childhood learning data is highly desirable. Preferred Qualifications - Proficient in Python. - Comfortable and proficient in using state-of-the-art AI tools like Claude Code and Cursor in your data analytic and development pipelines. - Ability to bridge applied data science implementation and its impact. - Exceptional skill communicating complex technical concepts to diverse audiences. Personal Attributes - Passionate about leveraging AI to advance literacy and ensure every child becomes a reader. - Strategic thinker balancing innovation with scientific rigor. - Collaborative leader thriving in fast-paced, mission-driven environments. - Strong advocate for responsible AI, transparency, and explainability. - Mission-driven focus on tangible, measured impact for students. Benefits - Competitive Salary. - Medical, dental, and vision benefits. - 401(k) with company matching. - Flexible time off. - Stock option ownership. - Cutting-edge work. - The opportunity to help children around the world reach their full potential. Commitment to Diversity Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer.