• Mapeamento das bases e dados disponíveis e conhecimento dos processos atuais do escopo • Modelagem de Projeção dos Sinistros • Definição do modelo de projeção com evidências e motivacional • Análise comparativa e explicação de comportamentos e tendências • Análise comparativa entre os sinistros projetados e realizados • Desenvolver uma SQUAD Autônoma de Sinistros

• Mapeamento das bases e dados disponíveis • Conhecimento dos processos atuais do escopo • Modelagem de Projeção dos Sinistros • Definição do modelo de projeção com evidências e motivacional • Análise comparativa e explicação de comportamentos e tendências • Análise comparativa entre os sinistros projetados e realizados • Desenvolver uma SQUAD Autônoma de Sinistros

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Responsibilities include: - Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization. - Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques). - Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc. - Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results. - Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges. Qualifications: - Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar - High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling - At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP. - Experience using git/github to version control source code - Experience leveraging transformer architecture to develop NLP models - Experience with open source NLP packages such as Gensim, SpaCy, or NLTK. - Experience with BERT, GPT-J, RoBERTa, T5 or other transformers - Experience with GenAI and Prompt Engineering is a plus - Experience in Databricks and MLFlow is a plus - Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus - Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract - Experience coordinating and maintaining user stories - Must be a US citizen - Must be able to obtain and maintain a Public trust security clearance About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. - Application Review: AI tools may help identify skills and experiences relevant to the role. - Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

• Serves as technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization. • Designs and validates algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting. • Ensures compliance with VA data governance, security, and privacy standards. • Present analytical outcomes to managers and stakeholders to guide business model adjustments and future planning. • Translate data into meaningful reports that support healthcare transformation goals. • Collaborate with cross-functional teams to align data strategies with program objectives. • Support predictive modeling and trend analysis to improve veteran healthcare delivery. • Responsible for tasks such as predictive analytics, data migration fidelity, and clinical decision supports.