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Job DescriptionDescription: JOB SUMMARY The Computational Scientist III will design, develop, and maintain robust systems and system models (i.e., Digital Twins) for opto-mechanical sensor systems that detect and identify biological threats. These models will be leveraged for requirements and concept generation, design and development, manufacturing, system troubleshooting, and logistical analysis. ESSENTIAL JOB FUNCTIONS • Build from the ground up (and maintain) digital twins using Model-Based Systems Engineering (MBSE) methodologies., • Develop digital twins to support troubleshooting and repair of production systems., • Develop virtual representations of physical systems to support new technology development., • Provide key contributions to system requirements development, trade studies, and architecture definition., • Leverage Artificial Intelligence and Machine learning tools to maximize the accuracy and effectiveness of developed models., • Prepare and maintain documentation related to computer code/scripts, including end-user guides and instructions. No supervisory responsibilities Requirements: EDUCATION Minimum Master’s degree in Physics, Chemistry, Computer Science, Systems Engineering, Electrical Engineering, Software Engineering, Optical Engineering, or a related field, Ph.D. Preferred EXPERIENCE 3-5 years of related experience or 0 - 3 years experience with applicable Ph.D. level research in Biology, Chemistry, Physics or a related field. SKILLS and QUALIFICATIONS • Must be eligible to obtain and/or maintain a U.S. Government Security Clearance commensurate with the level of facility clearance., • Proficiency in systems engineering processes and principles, • Experience in developing a digital twin for spectroscopic, spectrometric, or electrochemical-based instrumentation, • Working-level knowledge of one or more of the following areas: optical spectroscopy, surface immobilization, molecular recognition, molecular biology, or aerosol physics, • Software programming/scripting proficiency in C, C#, Python, and/or MATLAB, • Optical modeling proficiency with Zemax or equivalent, • Working knowledge of software development practices such as version control systems (e.g., Git, Azure DevOps, Synergy CM), • Working knowledge of statistics, experimental error, Design of Experiments, and quantification as it applies to scientific data, • Excellent written and verbal communication skills, • Working knowledge of Artificial Intelligence/ Machine Learning tools, as their application to physics-based models, • Ability to communicate technical information to non-technical audiences, • Ability to work independently and to interact effectively with individuals on multi-disciplinary teams, • Experience in developing detailed optical specifications for spectroscopic instrumentation, • Development of interface software required to command and control excitation and imaging subsystems, • Ability to define, assemble, and test optical component breadboards for spectroscopic applications The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Limited domestic travel may be required less than 5% of time. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The incumbent should be able to lift up to 25 pounds without assistance and 50 pounds with assistance to complete laboratory activities. Incumbent may have to wear and function in personal protective equipment, including a respirator for limited periods of time. Incumbent will be required to complete company paid for medical monitoring. DISCLAIMER The preceding job description has been designed to indicate the general nature and essential job functions of this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Employees will be expected to perform other job functions and duties as may be needed and/or required. EQUAL OPPORTUNITY EMPLOYER Chemring Sensors and Electronic Systems, Inc. (CSES) is an equal opportunity employer. We evaluate applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. The “Know Your Rights” Poster is available here: CSES’ EEO Policy Statement is available here: Chemring Sensors and Electronic Systems, Inc. EEO Policy Statement CSES is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to or call (980) 235-2200, Option 3 and let us know the nature of your request and your contact information. #zr

We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. • Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling., • Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying., • Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn)., • Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow)., • Strong analytical skills and the ability to work with large datasets to extract meaningful information., • Experience in data preprocessing, feature engineering, and model evaluation., • Excellent problem-solving abilities and strong communication skills to present findings effectively. We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our ___ page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Benefits: • 401(k) matching, • Competitive salary, • Flexible schedule, • Health insurance, • Relocation bonus Title : Senior Data Engineer / Analyst Location : Hybrid. Duration : Full Time (18+ months). Exp. Req. : 8+ / 10+ yrs. ( Mid-Level & Senior level positions) Required Technical and Professional Expertise• Minimum 8-10+experience as a Data Engineer/Scientist./Analyst • Experience developing data pipelines and normalizing data., • Experience using AWS cloud services., • Experience with PostgreSQL database. Preferred Technical and Professional Expertise • Experience developing Tableau Dashboards., • ELK Stack Experience., • Real-time event streaming., • AWS S3, EC2, Lambda, Kinesis., • Apache Spark, NiFi., • Confluent Kafka., • Experience with Containers (Docker, Docker Compose)., • DevSecOps utilizing test-driven development., • Gitlab experience., • Experience with Cyber Operations Branch (SSC/SZYO) program office If you are a motivated and skilled Senior Data Engineer / Analyst with a passion, we invite you to apply at sudheer(@)careits (.) com for this exciting opportunity. Thank you Flexible work from home options available. Compensation: $100,000.00 - $140,000.00 per year CARE ITS is a certified Woman-owned and operated minority company (certified as WMBE). At CARE ITS, we are the World Class IT Professionals, helping clients achieve their goals. Care ITS was established in 2010. Since then we have successfully executed several projects with our expert team of professionals with more than 20 years of experience each. We are globally operated with our Head Quarters in Plainsboro, NJ, with focused specialization in Salesforce, Guidewire and AWS. We provide expert solutions to our customers in various business domains.

Job DescriptionAbout NationMind LLC: NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Data Scientist to join our growing team. Job title: AI Data Scientist Location: Charlotte, NC (Hybrid) Job description/ Role Overview We are looking for an experienced Data Scientist who can design develop and deploy advanced AIML models and data driven solutions. The ideal candidate will have strong expertise in machine learning deep learning LLMs and cloud based data platforms along with handson experience in data engineering vector databases and endtoend deployment. Key Responsibilities Model Development Optimization Build and finetune MLDL models including LLMs for NLP tasks Implement RAG Retrieval Augmented Generation and Agentic AI workflows for enterprise use cases Optimize models for performance scalability and cost efficiency Data Engineering Management Design and maintain data pipelines for structured and unstructured data Work with vector databases eg Pinecone Milvus Weaviate for semantic search and embeddings Ensure data quality governance and compliance Deployment MLOps Deploy models using Docker Kubernetes and cloudnative services AWS Azure GCP Implement CICD pipelines for ML workflows and automated retraining Monitor model performance and drift using MLOps tools Collaboration Communication Work closely with architects engineers and business stakeholders to translate requirements into solutions Present insights and recommendations using data visualization tools Required Technical Skills Programming Python Pandas NumPy Scikitlearn PyTorch TensorFlow SQL AIML Frameworks LangChain Hugging Face LlamaIndex Cloud Platforms AWS SageMaker Azure ML GCP Vertex AI Databases SQLNoSQL Vector DBs Pinecone Milvus Weaviate Deployment Docker Kubernetes Helm MLOps Tools MLflow Kubeflow Airflow Visualization Power BI Tableau Matplotlib Plotly

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements • Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling., • Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying., • Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn)., • Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow)., • Strong analytical skills and the ability to work with large datasets to extract meaningful information., • Experience in data preprocessing, feature engineering, and model evaluation., • Excellent problem-solving abilities and strong communication skills to present findings effectively. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job Description Job Description Data Scientist Summary/objective We are seeking a highly skilled Data Scientist to focus on building and deploying predictive models that identify customer churn risk and upsell opportunities. This role will play a key part in driving revenue growth and retention strategies by leveraging advanced machine learning, statistical modeling, and large-scale data capabilities within Databricks. Why Join Us? Be at the forefront of using Databricks AI/ML capabilities to solve real-world business challenges. Directly influence customer retention and revenue growth through applied data science. Work in a collaborative environment where experimentation and innovation are encouraged. Core Job Duties: Model Development • Design, develop, and deploy predictive models for customer churn and upsell propensity using Databricks ML capabilities., • Evaluate and compare algorithms (e.g., logistic regression, gradient boosting, random forest, deep learning) to optimize predictive performance., • Build and maintain scalable data pipelines in Databricks (using PySpark, Delta Lake, and MLflow) to enable reliable model training and scoring., • Conduct A/B tests and back testing to validate model effectiveness., • Translate complex analytical outputs into clear recommendations for business stakeholders., • Partner with Product and Customer Success teams to design strategies that reduce churn, increase upsell and improve customer retention KPIs. Minimum Qualifications: • Master's or PhD in Data Science, Statistics, Computer Science, or related field (or equivalent industry experience)., • 3+ years of experience building predictive models in a production environment., • Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL., • Demonstrated expertise using Databricks for:, • Data manipulation and distributed processing with PySpark., • Building and managing models with MLflow., • Leveraging Delta Lake for efficient data storage and retrieval., • Implementing scalable ML pipelines within Databricks' ML Runtime., • Experience with feature engineering for behavioral and transactional datasets., • Strong understanding of customer lifecycle analytics, including churn modeling and upsell/recommendation systems., • Experience with cloud platforms (Azure Databricks, AWS, or GCP)., • Familiarity with Unity Catalog for data governance and security., • Knowledge of deep learning frameworks (TensorFlow, PyTorch) within Databricks., • Exposure to MLOps best practices (CI/CD for ML, model versioning, monitoring)., • Background in SaaS, subscription-based businesses, or customer analytics. Physical Demands Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds. Travel Required: Limited Work Authorization: Employees must be legally authorized to work in the United States. FLSA Classification: Exempt Location: Any Effective Date: 9/16/2025 About isolved isolved is a provider of human capital management (HCM) solutions that help organizations recruit, retain and elevate their workforce. More than 195,000 employers and 8 million employees rely on isolved's software and services to streamline human resource (HR) operations and deliver employee experiences that matter. isolved People Cloud™ is a unified yet modular HCM platform with built-in artificial intelligence (AI) and analytics that connects HR, payroll, benefits, and workforce and talent management into a single solution that drives better business outcomes. Through the Sidekick Advantage™, isolved also provides expert guidance, embedded services and an engaged community that empowers People Heroes™ to grow their companies and careers. Learn more at . isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are. Visit for more information regarding our incredible culture and focus on our employee experience. Visit for a comprehensive list of our employee total rewards offerings.

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance, • Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes, • Assess the effectiveness and accuracy of new data sources and data gathering techniques, • Understand and apply proper risk framework to your analysis and modeling., • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions, • Collaborate cross functionally to implement models and monitor outcomesYou'll bring the following required skills and experiences, • 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc, • Credit and / or Fraud Risk modeling experience in consumer finance is nice to have, • Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions, • Experienced in using Python for analysis and modeling, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.), • Excellent cross-functional communication skills