• Desenvolver modelos de classificação e regressão para previsão de: probabilidade de êxito, tipo de sentença, comportamento do processo ao longo da tramitação; • Criar e testar diferentes abordagens: modelos clássicos (Logistic Regression, XGBoost, Random Forest), modelos baseados em NLP, embeddings, Transformers e modelos híbridos (estatística + semântica textual); • Analisar petições iniciais e outras peças para extrair: entidades jurídicas (NER), emas, fundamentos, pedidos e características relevantes, similaridades entre processos; • Criar features semânticas e estruturadas para alimentar os modelos; • Atualizar-se em metodologias e algoritmos de vanguarda para otimizar acurácia e demais métricas relevantes, no contexto de predição de sentenças jurídicas; • Realizar análises exploratórias profundas (EDA) de dados jurídicos fornecidos pelo sistema; • Testar diferentes estruturas de dados para melhorar performance dos modelos; • Construção de provas de conceito (POCs) com LLMs voltadas para: sumarização de peças, andamentos e decisões; geração assistida de textos jurídicos (minutas, pareceres preliminares etc.); apoio aos procuradores com agentes especializados; • Trabalhar com RAG (Retrieval-Augmented Generation) conectado a bases jurídicas; semantic Search para captura de entendimento jurídico; ajuste fino (fine-tuning) ou instrução de modelos generativos para tarefas específicas e benchmarking de modelos abertos e proprietários; • Validar modelos usando métricas robustas (AUC, F1, KS etc.); • Aplicar técnicas de explicabilidade/representatividade das variáveis decisoras; • Gerar relatórios técnicos explicando: metodologia, interpretação dos resultados, relevância das variáveis, limitações e próximos passos, documentar versões, experimentos e procedimentos de treinamento; • Especificar requisitos técnicos para integração dos modelos; • Entregar artefatos e orientações técnicas sobre input/output dos modelos;

This position is open to internal candidates only. External candidates will not be reviewed or considered. Salary/Position Classification - $75,000-$80,000 annual, Exempt - 40 hours per week - 100% Remote Work Availability: Yes - Hybrid Work Availability (requires some time on campus): Yes Purpose of Position This position works to develop, track and monitor data used in strategic planning, decision support, and institutional effectiveness efforts; to assist units in interpreting data and trends to ensure effective and efficient management of resources; to create and to assist with the maintenance of data analytic tools for specific units as well as the institution as a whole; and to serve as a project manager in process improvement initiatives. This position will also work collaboratively with units across the institution to coordinate their approach to data analysis, resource allocation, and improve utilization of data in their decision-making. Duties & Responsibilities - Develop SQL queries to extract and consolidate data from multiple databases, clean and preprocess data for statistical analysis and predictive modeling. - Gain an in-depth understanding of PeopleSoft Databases in the university. - Develop scripts in PBCS (Oracle Planning and Budgeting Cloud Service) to automate and streamline routine analysis and reporting tasks. - Review source data for errors and discrepancies; develop data validation process with data management software (e.g., SAS, Access, and Excel) for routine analysis and models. - Apply advanced time series analysis methods, such as autoregressive moving average (ARMA) and exponential smoothing, to model and analyze trends and patterns in various data sets and metrics. - Perform trend analysis to detect patterns, inconsistencies, and signs of impending changes in revenue and expense for each unit; interpret causes of changes in financial data trends. - Perform multidimensional analysis on data with business intelligence software (e.g., Power BI and Tableau) to examine data from various perspectives and provide insights. - Select and apply appropriate predictive modeling techniques, such as regression models and time series analysis, to assist units with various projections; analyze actuals vs. forecasts to measure forecast accuracy; apply forecasting techniques, such as modeling trend and seasonality, to improve the quality of forecasting. - Work closely with units to understand business processes within each unit, and assist units with estimating revenue and costs, and establishing preliminary budgets based on projections on student credit hours, enrollments, revenue, grants, etc.; analyze and explore the correlations between performance metrics using multivariate statistical analysis methods; interpret dependence and association between performance metrics to assist units with decision making. - Develop Excel spreadsheet models and BI dashboards for multi-period trend analysis of financial statements; perform financial modeling using sensitivity analysis and scenario analysis with advanced Excel features, such as VBA, macros, and pivot reporting, to evaluate the impacts of changing metrics on unit financial performance and provide sound decision support to units; design and develop resource allocation decision models using Excel and Excel Solver (a specialized decision support add-in) to create optimal budget allocation plans for units to improve financial performance and institutional effectiveness in different scenarios. - Design and develop calculators for budgeting and resource allocation; work closely with units to test and refine the calculators; prepare documentation and provide training on calculators and related procedures. - Develop reporting methods, and provide reports to units on a regular basis; design and develop reports and dashboards with business intelligence software to deliver analyses and data visualizations; build interactive features, such as search filters, range sliders, and toggle elements, in the dashboards to enable units to perform further analysis independently; review KPIs with units regularly to make sure the KPIs are actionable and provide accurate measurements on unit effectiveness; redesign KPIs, as needed, to fit the changing needs of units; create end-user presentations or manuals for dashboards and reports; work collaboratively with units across the institution to coordinate approaches to data analysis and resource allocation and improve utilization of data in decision-making; think creatively about how data and analytical tools can be utilized for strategic planning purposes and answer questions posed by units; develop ideas and lead new projects; attend department meetings; other duties as assigned. Required Competencies - Exceptional analytical and problem-solving skills - Highly proficient in Microsoft Excel - Demonstrated excellent communication and interpersonal skills - Ability to work with a wide range of individuals - Attention to detail with excellent follow through on tasks - Requires the ability to work effectively under pressure, manage multiple projects simultaneously, and meet established goals and objectives - High degree of initiative and demonstrated ability to work independently with a professional attitude and efficiency with minimal direction. - Demonstrated analytical and problem-solving skills - Demonstrated excellent communication (written and oral) and interpersonal skills - Ability to take complex information and/or large data sets and analyze them for data-based decision-making - Ability to work independently Minimum Requirements - Master’s degree in a field with coursework in statistical analysis and scripting (e.g. economics, business, statistics, public administration, mathematics or related field) - Two years of relevant experience with data analysis and modeling for decision support - Advanced Excel skills (pivot tables, VBA programming, data models) and spreadsheet model development - Proficiency in business intelligence software (i.e. Power BI, Tableau) - Experience in data extraction, transformation, and consolidation using data management software or programming languages such as SAS, SQL, Python, or R. - Successful completion of a Criminal History Background Check In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. Preferred Qualifications - Work experience in a higher education setting - Project Management skills

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Senior Healthcare Performance Advisor At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You’ll Make in this Role As a Senior Healthcare Performance Advisor, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: - Leading the delivery of data analysis and reporting for assigned Solvetum Performance Data Monitoring clients. Analyzing and recommending solutions for client documentation improvement processes, data inconsistency trends and key performance indicators. Coaching clients on the use of Solventum web-based reporting tools - Delivering performance advisory services in a timely and professional manner, based on contractual and service line agreements for assigned clients and with minimal supervision from senior team. Collaborating with other Solventers in Health Information Systems to improve web-based tools - Managing key client relationships. Presenting analytical results in an organized and meaningful approach to client members in a variety of roles from department level staff to senior leadership - Identifying process improvement opportunities within the team. - Applying documentation and coding rules/regulations for DRG and APR DRG assignment when reviewing and analyzing data - Identifying opportunities and collaborating with sales and consulting services to drive new sales and expand the scope of current client agreements. Supporting the onboarding of new clients and participating in special projects or other duties assigned by manager - Participating in relevant corporate programs/initiatives - Ensuring professional, quality and security standards are complied with while performing assigned duties - Complying with corporate policies and procedures while acting in a manner consistent with Solvetum's values and ethical standards Your Skills and Expertise To set you up for success in this role from day one, Solvetum is looking for candidates who must have the following qualifications: - Bachelor’s Degree or higher (completed and verified prior to start) from an accredited university in Nursing, Health Information Management, Business, Physical or Biological Science AND six (6) years of experience in Clinical Documentation Improvement, Health Information Management, or Healthcare Analytics AND certification as a RHIA OR High School Diploma/GED AND ten (10) years of experience in Clinical Documentation Improvement, Health Information Management, or Healthcare Analytics. ​In addition to the above requirements, the following are also required: - Two (2) years of experience in clinical nursing, health information management and/or healthcare finance - Three (3) years of combined experience analyzing and processing healthcare data to identify anomalies and/or recommend corrective courses of action Work location: Remote (United States) Travel: May include up to 15% domestic Relocation Assistance: Is not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later. Applicable to US Applicants Only:The expected compensation range for this position is $107,600 - $147,950, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here. Before submitting your application you will be asked to confirm your agreement with the terms.

At BlueCross BlueShield of Tennessee, we’re building the foundation for an AI‑enabled future—one where our teams work smarter, our operations move faster, and our members experience a more responsive, reliable, and affordable healthcare journey. Join us as a Senior Data Scientist and you'll help our business teams turn complex data into clear, trusted insights that improve decision-making and outcomes for our 3.4 million members. In this highly collaborative role, you’ll partner across product, engineering, data, and business stakeholders to shape questions into measurable analyses, build models and experiments, and deliver results people can act on. You’ll own the end-to-end work of managing and transforming data for visualization and storytelling, delivering ad-hoc analyses aligned to business requirements, and using appropriate investigative and analytical approaches to interpret and verify results. To do that, you’ll need: - Experience translating business problems into analytical approaches (hypotheses, metrics, and decision-ready outputs) and delivering with minimal day-to-day supervision. - Strong ability to design, extract, normalize, analyze, and automate analysis using enterprise data sources (e.g., data warehouse/extracts) and coordinate requirements with SMEs. - Hands-on experience applying machine learning/statistical techniques to develop predictive models and extract insights from structured and (when needed) semi-/unstructured data (e.g., NLP). - Proven track record building data visualizations for data storytelling and managing data pipelines/curation needed to support accurate visuals. - A quality mindset for interpreting, validating, and verifying analytical results—ensuring conclusions are sound and reproducible. - Strong software engineering fundamentals in Python, including writing readable, testable and maintainable code. - Experience working with APIs and production data interfaces. Note: - This is a fully remote role, but onsite interviews at our Chattanooga, TN headquarters will be required. - Sponsorship is not available for this role. Job Responsibilities - Lead in applying Machine Learning algorithms to develop predictive models for business applications. - Extract meaningful insight from semi-structured and unstructured data sources, including natural language processing (NLP) - Lead in designing, extracting, normalizing, analyzing, reviewing and automating analysis utilizing our Data Warehouse, extracts and data exploration tools; coordinate with appropriate subject matter experts on data source requirements. - Lead in designing & developing data visualizations for data storytelling. - Design and develop ad-hoc analysis based on business requirement needs. - Actively participate in the completion of department initiatives to support the development of a best-in-class Data Science function. - Prototype data science products. - Complete work without direct day-to-day supervision, and help guide junior team members when they need assistance. - Stay up-to-date with the latest advancements in data science and related fields, and share with team members to drive innovation - Build strong relationships to understand the business and connect data scientists to business use cases. Job Qualifications Education - Bachelor’s degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required. Experience - 5 years of relevant work experience in analytics, technology or healthcare is required (academic work included), or related equivalent experience - 3 years experience with machine learning/advanced statistical techniques is required - Experience writing SQL, and using Data Visualization tools - Demonstrated experience handling large datasets to build data science pipelines Skills/Certifications - Proficient applying machine learning to data analysis for prediction and classification. - Proficient in Python with intermediate knowledge of big data technologies like spark. - Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint) - Excellent oral and written communication skills. - Strong interpersonal and organizational skills - Must be a team player and be organized. - Ability to work independently with minimal supervision or function in a team environment sharing responsibility, roles, and accountability Number of Openings Available 1 Worker Type: Employee Company: BCBST BlueCross BlueShield of Tennessee, Inc. Applying for this job indicates your acknowledgement and understanding of the following statements: BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law. Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page: BCBST's EEO Policies/Notices BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.