• Develop, implement, and maintain machine learning and statistical models to support mission and program objectives • Analyze large structured and unstructured datasets to identify trends, anomalies, and actionable insights • Apply predictive analytics, classification, and regression techniques to real-world operational problems • Build and optimize data pipelines, ETL processes, and feature engineering workflows • Develop data visualization dashboards and reporting tools to communicate findings to technical and non-technical stakeholders • Work with cloud or on-premise environments to deploy scalable data solutions • Support test, evaluation, and analysis efforts for aviation, weapons systems, or mission systems programs • Provide data-driven recommendations to engineering teams, program managers, and government stakeholders • Interface with cross-functional teams including systems engineers, software developers, and analysts • Collaborate across IPTs to translate mission requirements into analytical solutions • Document methodologies, models, and results in accordance with DoD and program standards • Present findings to stakeholders in a clear and concise manner

Role Description Saalex is seeking a highly motivated Data Scientist to support mission-critical programs at China Lake. This role will focus on developing and deploying advanced analytical models, supporting test and evaluation efforts, and transforming complex datasets into actionable insights for engineering, operational, and leadership teams. Essential Functions - Data Analysis & Modeling - Develop, implement, and maintain machine learning and statistical models to support mission and program objectives. - Analyze large structured and unstructured datasets to identify trends, anomalies, and actionable insights. - Apply predictive analytics, classification, and regression techniques to real-world operational problems. - Technical Development - Build and optimize data pipelines, ETL processes, and feature engineering workflows. - Develop data visualization dashboards and reporting tools to communicate findings to technical and non-technical stakeholders. - Work with cloud or on-premise environments to deploy scalable data solutions. - Mission & Program Support - Support test, evaluation, and analysis efforts for aviation, weapons systems, or mission systems programs. - Provide data-driven recommendations to engineering teams, program managers, and government stakeholders. - Interface with cross-functional teams including systems engineers, software developers, and analysts. - Collaboration & Documentation - Collaborate across IPTs to translate mission requirements into analytical solutions. - Document methodologies, models, and results in accordance with DoD and program standards. - Present findings to stakeholders in a clear and concise manner. Qualifications - Experience supporting DoD, aerospace, or government programs strongly preferred. Requirements - Technical Skills: - Advanced proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). - Strong experience with SQL and relational databases. - Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn). - Solid understanding of machine learning techniques (classification, regression, clustering, NLP, etc.). - Data Engineering & Systems: - Experience building data pipelines and ETL processes. - Familiarity with cloud platforms (AWS, Azure, or similar) or on-prem DoD environments. - Understanding of data architecture and large-scale data processing. - Analytical Skills: - Strong statistical analysis and modeling experience. - Ability to translate complex data into actionable insights. - Demonstrated problem-solving skills in ambiguous or evolving environments. - Collaboration & Communication: - Ability to work effectively within cross-functional teams and IPT structures. - Strong verbal and written communication skills. - Experience briefing technical and non-technical stakeholders. Education - Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related technical field, or equivalent practical experience required. Security Clearance - Active Secret Clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Benefits - Health Care Plan (Medical, Dental & Vision). - Retirement Plan (401k, IRA). - Life Insurance (Basic, Voluntary & AD&D). - Paid Time Off (Vacation, Sick & Public Holidays). - Short Term & Long Term Disability. - Training & Development. - Wellness Resources. - Stock Option Plan.

Role Description UPMC Health Plan is hiring a Sr. Data Scientist to join the Artificial Intelligence team! This role may work fully remotely and must reside within the United States. The Senior Data Scientist develops, implements, and monitors advanced analytic, medical informatics, and predictive modeling tools for healthcare programs. - Design, develop, and implement health care analytic and biomedical modeling programs. - Converse with and provide guidance on the selection and use of modeling software and programs. - Serve as a consultant to ensure coordination in systems planning, development, and implementation between utilization management and other areas needing reporting, development, information systems, and external organizations. - Implement plans for capturing and creating new data elements to support department needs. - Define methodologies for reporting and evaluate software requirements needed to support analytic reporting. - Identify staffing needs to enhance modeling and reporting abilities and participate in recruitment. - Collaborate with Health Plan and Health System data scientists, as needed. - Lead the development and deployment of advanced machine learning models. - Oversee the end-to-end data science process, from data collection to model deployment. - Mentor and guide junior data scientists and analysts. - Collaborate with senior leadership to identify and prioritize data science projects. - Communicate complex technical concepts to non-technical stakeholders. - If needed, create and/or maintain documentation of a data dictionary to ensure that data is used efficiently and effectively, to help promote better data governance, improve data quality, & enhance data management processes. Qualifications - Ph.D. or Masters degree in data science, Statistics, Computer Science, or a related field with 4 years of relevant experience OR a Bachelor's degree with 7 years of relevant experience. - At least 2 years post terminal degree strongly preferred. - Extensive experience in data science and machine learning. - Strong programming skills in Python, SQL, and other relevant languages. - Experience conducting bias and segmentation analysis preferred. - Experience in the health care industry is a bonus. - Proven ability to lead and manage data science projects. - Excellent communication and leadership skills. - Strong expertise building and deploying models on Azure cloud framework or other cloud frameworks. - Preferred skills include using Transformers, Large Language models, GenAI, or AI Agents. Licensure, Certifications, and Clearances - UPMC is an Equal Opportunity Employer/Disability/Veteran

Role Description Accelerate your development and exposure to high‑performance data platforms and cloud infrastructure. Join Sedona Digital, a fast‑growing scale‑up with the ambition to be recognised as one of the leading technology companies in Romania. Our global client base needs builders, engineers who enjoy designing and implementing scalable data platforms, have deep expertise in cloud data technologies, and take pride in delivering reliable, well‑governed solutions. At Sedona, we: - Obsess about our customers - Build robust, scalable technical solutions - Create an open, collaborative culture - Invest in learning and long‑term careers We are looking for a Senior Data Scientist with strong experience across Azure data and AI services, capable of independently designing, building, and deploying machine learning solutions that drive business impact. Responsibilities - Design, develop, and deploy end-to-end machine learning solutions using Azure Machine Learning (Azure ML). - Build, train, evaluate, and optimize models using techniques such as classification, regression, and advanced analytics. - Collaborate with data engineers to define and consume curated datasets from Azure Synapse, ADLS, and Azure SQL. - Develop scalable feature engineering and model training pipelines. - Operationalize ML models using MLOps practices, including versioning, monitoring, and retraining strategies. - Translate business problems into analytical solutions and communicate insights clearly to stakeholders. - Work with large datasets using Python, SQL, and distributed processing frameworks. - Contribute to the design of analytics and AI architectures across Azure ecosystems. - Implement best practices for model explainability, reproducibility, and governance. - Support visualization and insight delivery through Power BI or similar tools. - Collaborate with product owners, engineers, and business stakeholders to drive data-driven decision-making. - Participate in client engagements, including discovery, experimentation, and solution design phases. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field. - 5+ years of experience in data science, machine learning, or advanced analytics roles. - Strong hands-on experience with: - Azure Machine Learning (Azure ML) - Azure Synapse Analytics - Azure Data Lake / Blob Storage - Solid programming skills in Python (e.g., pandas, scikit-learn, PySpark). - Strong SQL skills and experience working with large datasets. - Experience building and deploying ML models in production environments. - Understanding of data pipelines and collaboration with data engineering teams. - Familiarity with Azure DevOps, GitHub, and version control best practices. - Ability to work independently and make pragmatic technical decisions. - Excellent communication skills in English, with the ability to explain complex concepts clearly. Preferred Skills (Nice to Have) - Experience with MLOps frameworks and model lifecycle management. - Familiarity with Databricks or distributed ML workflows. - Experience with experiment tracking and model monitoring tools. - Knowledge of CI/CD pipelines for ML solutions. - Exposure to design tools such as Miro or Figma for collaborative workstreams. - Experience working in regulated or data-sensitive environments. - Previous involvement in client-facing data science or discovery engagements. Key Tools & Technologies - Azure ML, Azure Synapse, Azure Blob Storage / ADLS - Azure DevOps, GitHub - Python, SQL - Power BI - Miro, Figma Benefits - Remote Work Flexibility - Opportunity to work in a rapidly growing scale-up organisation - Exposure to complex, global client engagements - Training on market trends and client needs - Ongoing learning and development opportunities - Competitive compensation package - Fun budget for team events