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Scientist jobs in Asheville, NC

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  • Biostatistician/AI Data Scientist I

    Guidehouse 3.7company rating

    Scientist job in Atlanta, GA

    Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: The Biostatistician/AI data scientist I will assist senior team members in performing statistical analyses and developing automated workflows for federal public health and life sciences projects. This role emphasizes foundational biostatistical skills combined with emerging technologies such as GenAI and automation. Key Responsibilities Support development and execution of statistical analyses under supervision. Assist in creating automated workflows and reproducible reports using R Markdown and Python. Contribute to data cleaning, preparation, and visualization tasks. Collaborate with senior biostatisticians and epidemiologists on project deliverables. Learn and apply GenAI tools for enhancing analytic efficiency. What You Will Need: Bachelor's degree is required Basic proficiency in R, SQL, and Python for data analysis. Understanding of regression modeling and descriptive statistics. Understanding of GenAI and other emerging technologies Ability to work collaboratively in a team environment What Would Be Nice To Have: Master's degree Experience with version control tools (e.g., GitHub). Experience with AI and machine learning for data analytics Exposure to GenAI tools and automation frameworks. Familiarity with public health datasets and analytic standards. The annual salary range for this position is $68,000.00-$113,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
    $68k-113k yearly Auto-Apply 1d ago

  • Analytical Method Development Scientist

    Ajulia Executive Search

    Scientist job in Rock Hill, SC

    Familiarity with laboratory instrumentation, including FTIR, HPLC, ICP, GC, UV-Vis, LC-MS, GC-MS, ICP-MS, and HPTLC. Experience in analytical method validation and development Are you looking to make a career change to a rapidly growing company? This exciting opportunity offers a competitive salary plus an excellent benefits package including medical insurance, dental insurance and paid PTO. Does this position match your future career goals? Then this opportunity could be the right fit for you Compensation Full benefits package Competitive salary Education and Experience Requirements: Master's degree in Chemistry ,Biochemistry, Biotechnology or related field. Must have prior experience working in the Pharmaceutical industry, using analytical techniques including HPLC and GC as well as experience with Method Development and Validation of these techniques. Troubleshoots equipment Expertise in developing analytical methods for chromatographic, spectroscopic, titrimetric, and wet chemistry analyses. Strong understanding of routine laboratory operations. Strong knowledge of analytical method development strategies and specification setting for raw materials and finished products. Familiarity with laboratory instrumentation, including FTIR, HPLC, ICP, GC, UV-Vis, LC-MS, GC-MS, ICP-MS, and HPTLC. Experience with Method development and Method validation Coordinates equipment qualification and calibration. Maintains a clean and safe working environment. Must have knowledge of cGMPs, Quality Concepts, and Microsoft Office. Excellent written and verbal communication skills. Proficiency in MS Office. Strong attention to detail. Jasleen Kaur ********************************* Ajulia Executive Search is a search firm specializing in Manufacturing, Finance, IT, Legal and Pharmaceutical positions. This is a confidential search for one of our preferred clients. It is a direct hire position that includes competitive compensation and full comprehensive benefit package. #ZR
    $50k-71k yearly est. 2d ago

  • Data Scientist - ML, Python

    Avance Consulting 4.4company rating

    Scientist job in McLean, VA

    10+years of experience required in Information Technology. Python Programming: At least 5 years of hands-on experience with Python, particularly in frameworks like FastAPI, Django, Flask, and experience using AI frameworks. • Access Control Expertise: Strong understanding of access control models such as Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). • API and Connector Development: Experience in developing API connectors using Python for extracting and managing access control data from platforms like Azure, SharePoint, Java, .NET, WordPress, etc. • AI and Machine Learning: Hands-on experience integrating AI into applications for automating tasks such as access control reviews and identifying anomalies • Cloud and Microsoft Technologies: Proficiency with Azure services, Microsoft Graph API, and experience integrating Python applications with Azure for access control reviews and reporting. • Reporting and Visualization: Experience using reporting libraries in Python (Pandas, Matplotlib, Plotly, Dash) to build dashboards and reports related to security and access control metrics. • Communication Skills: Ability to collaborate with various stakeholders, explain complex technical solutions, and deliver high-quality solutions on time. • PlainID: Experience or familiarity with PlainID platforms for identity and access management. • Azure OpenAI: Familiarity with Azure OpenAI technologies and their application in access control and security workflows. • Power BI: Experience with Microsoft Power BI for data visualization and reporting. • Agile Methodologies: Experience working in Agile environments and familiarity with Scrum methodologies for delivering security solutions.
    $76k-111k yearly est. 5d ago

  • Data Scientist

    Kavaliro 4.2company rating

    Scientist job in McLean, VA

    Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. The candidate MUST have experience designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems. The candidate MUST have extensive experience with Python and AWS. Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired. Required Skills and Demonstrated Experience Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems. Demonstrated experience with data management and integration, including designing and perating robust data layers for application development across local and cloud or web data sources. Demonstrated work experience programming with Python Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics. Demonstrated experience with general Linux computing and advanced bash scripting Demonstrated experience with SQL. Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS Demonstrated experience processing data sources containing structured or unstructured data Demonstrated experience developing data pipelines with NiFi to bring data into a central environment Demonstrated experience delivering results to stakeholders through written documentation and oral briefings Demonstrated experience using code repositories such as Git Demonstrated experience using Elastic and Kibana Demonstrated experience working with multiple stakeholders Demonstrated experience documenting such artifacts as code, Python packages and methodologies Demonstrated experience using Jupyter Notebooks Demonstrated experience with machine learning techniques including natural language processing Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats Demonstrated experience developing tested, reusable and reproducible work Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics Desired Skills and Demonstrated Experience Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture. Demonstrated experience using big data processing tools such as Apache Spark or Trino Demonstrated experience with machine learning algorithms Demonstrated experience with using container frameworks such as Docker or Kubernetes Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields Location: McLean, Virginia This position is onsite and there is no remote availability. Clearance: TS/SCI with Full Scope Polygraph Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements. Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
    $74k-105k yearly est. 3d ago

  • Data Scientist

    Unisys 4.6company rating

    Scientist job in Reston, VA

    • Collect, clean, and preprocess large datasets from multiple sources. • Apply statistical analysis and machine learning techniques to solve business problems. • Build predictive models and algorithms to optimize processes and improve outcomes. • Develop dashboards and visualizations to communicate insights effectively. • Collaborate with cross-functional teams (Product, Engineering, Risk, Marketing) to identify opportunities for leveraging data. • Ensure data integrity, security, and compliance with organizational standards. • Stay current with emerging technologies and best practices in data science and AI. ________________________________________ Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. • Strong proficiency in Python, R, SQL, and experience with data manipulation libraries (e.g., Pandas, NumPy). • Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Solid understanding of statistical modeling, hypothesis testing, and data visualization. • Experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP). • Excellent problem-solving skills and ability to communicate complex concepts clearly. ________________________________________ Preferred Qualifications • Experience in risk modeling, financial services, or product analytics. • Knowledge of MLOps and deploying models in production. • Familiarity with data governance and compliance frameworks. ________________________________________ Soft Skills • Strong analytical thinking and attention to detail. • Ability to work independently and in a team environment. • Effective communication and stakeholder management skills. #LI-CGTS #TS-0455
    $71k-96k yearly est. 3d ago

  • Data Science SME

    Marathon TS

    Scientist job in Knoxville, TN

    This person is responsible for extracting insights and building predictive models from data. Analyzes curated data, builds ML models, and validates them with experiments. The DS researches and defines business problems and translates them into analytical or ML tasks. Conducts exploratory data analysis to identify patterns, correlations, and anomalies. They will be in charge of designing, training, and evaluating statistical, ML, or AI models. Works with SMEs to determine use cases, model requirements, and alternative solutions. Defines requirements and specifications from which Data Specialists build data structures. Works closely with Data Engineers and customers to ensure correct implementation. Required Experience: Bachelor's in Mathematics, OR, Business, Economics, or related field preferred. Minimum 7+ years designing and implementing mathematical and statistical models. Strong experience with Python/R, PyTorch, Scikit-Learn, Jupyter, visualization, A/B testing. SQL (Oracle, MySQL, or Hive). Oracle DB and Hadoop experience preferred. Ability to work independently and under deadlines. Strong communication and problem-solving skills. Clearance Requirement: Must be a US Citizen with an active DoD Secret security clearance.
    $69k-95k yearly est. 2d ago

  • Data Scientist with GenAI and Python

    Dexian

    Scientist job in Charlotte, NC

    Dexian is seeking a Data Scientist with GenAI and Python for an opportunity with a client located in Charlotte, NC. Responsibilities: Design, develop, and deploy GenAI models, including LLMs, GANs, and transformers, for tasks such as content generation, data augmentation, and creative applications Analyze complex data sets to identify patterns, extract meaningful features, and prepare data for model training, with a focus on data quality for GenAI Develop and refine prompts for LLMs, and optimize GenAI models for performance, efficiency, and specific use cases Deploy GenAI models into production environments, monitor their performance, and implement strategies for continuous improvement and model governance Work closely with cross-functional teams (e.g., engineering, product) to understand business needs, translate them into GenAI solutions, and effectively communicate technical concepts to diverse stakeholders Stay updated on the latest advancements in GenAI and data science, and explore new techniques and applications to drive innovation within the organization Utilize Python and its extensive libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, LangChain) for data manipulation, model development, and solution implementation Requirements: Proven hands-on experience implementing Gen AI project using open source LLMs (Llama, GPT OSS, Gemma, Mistral) and proprietary API's (OpenAI, Anthropic) Strong background in Retrieval Augmented Generation implementations In depth understanding of embedding models and their applications Hands on experience in Natural Language Processing (NLP) solutions on text data Strong Python development skills. Should be comfortable with Pandas and NumPy for data analysis and feature engineering Experience building and integrating APIs (REST, FastAPI, Flask) for serving models Fine tuning and optimizing open source LLM/SLM is a big plus Knowledge of Agentic AI frameworks and Orchestration Experience in ML and Deep Learning is an advantage Familiarity with cloud platforms (AWS/Azure/GCP) Experience working with Agile Methodology Strong problem solving, analytical and interpersonal skills Ability to work effectively in a team environment Strong written and oral communication skills Should have the ability to clearly express ideas Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
    $68k-95k yearly est. 1d ago

  • Snowflake Data Scientist (Need local to Charlotte, NC)

    Galactic Minds Inc.

    Scientist job in Charlotte, NC

    Job Title: Senior Snowflake Data Scientist Long term Contract For data scientists, additional skill set required to be in AIML, RAG & LLM Models, Agentic AI experience. The Senior Snowflake Data Scientist will lead the development, deployment, and operationalization of machine learning and statistical models that solve complex business problems and drive strategic decision-making. This role requires an expert blend of statistical rigor, advanced programming, and deep knowledge of leveraging Snowflake's ecosystem (e.g., Snowpark, Streamlit, external functions) for high-performance, in-warehouse data science. Key Responsibilities 1. Advanced Modeling & Analysis Model Development: Design, build, train, and validate sophisticated machine learning (ML) and statistical models (e.g., predictive, prescriptive, clustering, forecasting) to address key business challenges (e.g., customer churn, sales forecasting, risk modeling). Feature Engineering: Utilize advanced SQL and Python/Snowpark to perform large-scale feature engineering, data transformation, and preparation directly within Snowflake, ensuring high data quality and low latency for modeling. A/B Testing & Causal Inference: Design and analyze experiments (A/B tests) and employ causal inference techniques to measure the business impact of product features, strategies, and model outputs. 2. MLOps & Production Deployment Operationalization: Lead the process of deploying trained models into production environments, utilizing Snowpark, Snowflake UDFs/UDTFs, and external functions for scalable inference and real-time scoring. Pipeline Automation: Collaborate with Data Engineering to integrate ML pipelines into CI/CD workflows, ensuring models are automatically retrained and redeployed using tools like Airflow or orchestration platforms. Monitoring: Establish and maintain robust monitoring for model performance (drift, bias, accuracy) and operational health within the Snowflake environment. 3. Data Visualization & Storytelling Insight Generation: Conduct deep-dive exploratory data analysis (EDA) using complex Snowflake SQL to uncover hidden patterns, opportunities, and risks. Visualization & Communication: Effectively communicate complex analytical findings, model outputs, and recommendations to technical and non-technical stakeholders and senior leadership using compelling data storytelling and visualization tools (e.g., Tableau, Power BI, or Snowflake Streamlit). 4. Platform & Technical Leadership Best Practices: Define and promote best practices for statistical rigor, ML coding standards, and efficient data processing within the Snowflake ecosystem. Mentorship: Provide technical guidance and mentorship to junior data scientists and analysts on modeling techniques and leveraging Snowflake's data science features. Innovation: Stay current with the latest features of the Snowflake Data Cloud (e.g., Generative AI/LLMs, Unistore, Data Sharing) and propose innovative ways to leverage them for business value. Minimum Qualifications MS or Ph.D. in a quantitative discipline (e.g., Statistics, Computer Science, Engineering, Economics, or Mathematics). 7+ years of progressive experience in Data Science, with at least 3+ years of hands-on experience building and deploying ML solutions in a cloud data warehouse environment, preferably Snowflake. Expert proficiency in Python (including packages like scikit-learn, NumPy, Pandas) and writing scalable code for data processing. Expert-level command of Advanced SQL for complex data manipulation and feature engineering. Proven experience with Machine Learning algorithms and statistical modeling techniques. Strong understanding of MLOps principles for model lifecycle management. Preferred Skills & Certifications Snowflake SnowPro Advanced: Data Scientist Certification. Hands-on experience developing solutions using Snowpark (Python/Scala). Experience building data apps/dashboards using Snowflake Streamlit. Familiarity with cloud platforms and services (AWS Sagemaker, Azure ML, or GCP Vertex AI) integrated with Snowflake. Experience with workflow orchestration tools (e.g., Apache Airflow, dbt).
    $68k-95k yearly est. 4d ago

  • Data Scientist - AI and strong in Python

    Smart It Frame LLC

    Scientist job in Charlotte, NC

    Job Title: Data Scientist - AI and strong in Python Employment Type: Contract/ Contract-To-Hire About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together. Overview: We are looking for an experienced Data Scientist who can design develop and deploy advanced AIML models and datadriven solutions The ideal candidate will have strong expertise in machine learning deep learning LLMs and cloudbased data platforms along with handson experience in data engineering vector databases and endtoend deployment 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 Preferred Qualifications Experience with LLM finetuning and prompt engineering Knowledge of distributed computing and GPU acceleration Familiarity with data privacy regulations and responsible AI principles Mandatory Skills: Python - Data Science
    $68k-95k yearly est. 2d ago

  • Principal Data Scientist with Gen AI

    Lorvenk Technologies

    Scientist job in McLean, VA

    Title: Principal Data Scientist with Gen AI Contract: W2 Exp: 10+ Duration: Long Term Interview Mode: In-Person interview Call Notes: Looking for a Principal Data Scientist with strong focus on Generative AI (GenAI) with expertise in Machine Learning transitioned into GenAI. Need someone with good experience in RAG, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data. Someone with advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. Highly preferred for someone who can built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production. Top Skills: Machine Learning & Deep Learning - Required GenAI - Required Python - Required Rag and/or Graph Rag - Required MCP (Model Context Protocol) and A2A (Agent-to-Agent) is highly preferred Job Description: We are seeking a highly experienced **Principal Gen AI Scientist** with a strong focus on **Generative AI (GenAI)** to lead the design and development of cutting-edge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. You will serve as a hands-on Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions. Key Responsibilities: * Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases. * Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives. * Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases. * Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic * Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication. * Build and maintain Jupyter-based notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS). * Collaborate with cross-functional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences. * Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns. * Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment. * Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows-leveraging best practices like semantic chunking and privacy controls * Orchestrate multimodal pipelines** using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media * Implement embeddings drives-map media content to vector representations using embedding models, and integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) to support RAG architectures Required Qualifications:** * 10+ years of experience in AI/ML, with 3+ years in applied GenAI or LLM-based solutions. * Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases (e.g., AWS KnowledgeBase / Elastic), and multi-modal models. * Proven experience with cloud-native AI development (AWS SageMaker, Bedrock, MLFlow on EKS). * Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.). * Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks * Demonstrated ability to work in cross-functional agile teams. * Need Github Code Repository Link for each candidate. Please thoroughly vet the candidates. **Preferred Qualifications:** * Published contributions or patents in AI/ML/LLM domains. * Hands-on experience with enterprise AI governance and ethical deployment frameworks. * Familiarity with CI/CD practices for ML Ops and scalable inference APIs.
    $73k-102k yearly est. 4d ago

  • Research Associate AI data analysis with modeling Medical -OPT

    MSAI Labs

    Scientist job in McLean, VA

    This is a full-time remote role for a Research Associate in Signal Processing and Physiological Modeling, specializing in HD5y files extracted from hospital ICU machines. The incumbent will lead advanced research in signal processing and physical body flow modeling, with a focus on trauma patient data. Responsibilities include developing and implementing algorithms that link ECG and PPG signals to circulatory and systemic flow dynamics, particularly under acute stress conditions. This is a government-sponsored Research Associate role, offering the unique opportunity to contribute to federally backed trauma research. Unlike equivalent university posts, this position can also provide stock options as an incentive, aligning long-term rewards with the growth of MSAI LABS. Day-to-day tasks involve: Programming and algorithm development for physiological signal interpretation Applying pattern recognition and denoising techniques to trauma-linked biosignals Modeling circulatory flow and systemic responses using multi-modal data Collaborating with cross-functional teams to advance the lab's trauma-focused AI research objectives Qualifications Strong foundation in Python and/or R Experience modeling physical body flow dynamics using biosignals (ECG, PPG, BP, etc.) Familiarity with trauma physiology and acute care signal patterns Optimization skills for running models on cloud GPU/CPU instances Knowledge of autoencoders, STFFT, SSD architectures or other denoising methods Time series Transformers optimization Expertise in pattern recognition and physiological signal interpretation Proficient in programming languages relevant to signal processing and modeling Solid understanding of mathematics, especially as applied to dynamic systems and signal flow Strong analytical and problem-solving skills Ability to work independently and remotely Excellent written and verbal communication skills Experience in a research environment is a plus Master's or Ph.D. in a related field such as Biomedical Engineering, Computer Science, Electrical Engineering, or Applied Mathematics
    $44k-66k yearly est. 1d ago

  • Data Scientist

    Astec Digital

    Scientist job in Chattanooga, TN

    BUILT TO CONNECT At Astec, we believe in the power of connection and the importance of building long-lasting relationships with our employees, customers and the communities we call home. With a team more than 4,000 strong, our employees are our #1 advantage. We invest in skills training and provide opportunities for career development to help you grow along with the business. We offer programs that support physical safety, as well as benefits and resources to enhance total health and wellbeing, so you can be your best at work and at home. Our equipment is used to build the roads and infrastructure that connects us to each other and to the goods and services we use. We are an industry leader known for delivering innovative solutions that create value for our customers. As our industry evolves, we are using new technology and data like never before. We're looking for creative problem solvers to build the future with us. Connect with us today and build your career at Astec. LOCATION: Chattanooga, TN On-site / Hybrid (Role must report on-site regularly) ABOUT THE POSITION The Data Scientist will play a key role in establishing the analytical foundation of Astec Smart Services. This individual will lead efforts to build pipelines from source to cloud, define data workflows, build predictive models, and help guide the team's approach to turning data into customer value. He or she will work closely within Smart Services and cross-functionally to ensure insights are actionable and impactful. The role blends Data architecture, data engineering, and data science to help build Smart Services analytical foundation. This person will be instrumental in helping to build Astec's digital transformation and aftermarket strategy. Deliverables & Responsibilities Data Engineering: Build and maintain robust data pipelines for ingestion, transformation, and storage. Optimize ETL processes for scalability and performance. Data Architecture: Design and implement data models that support analytics and operational needs. Define standards for data governance, security, and integration. Data Science: Develop predictive models and advanced analytics to support business decisions. Apply statistical and machine learning techniques to large datasets. Strong business acumen to understand decision drivers with internal and external customers Collaborate with individuals and departments across the company to ensure insights are aligned with customer needs and drive value. To be successful in this role, your experience and competencies are: Bachelor's degree in data science, engineering, or related field. (Adv. degrees a plus.) 5+ years of experience in data science, including at least 3 years in industrial or operational environments. Strong communication and project management skills are critical. Proficiency in data pipeline tools (e.g., Spark, Airflow) and cloud platforms (Azure, AWS, GCP). Strong understanding of data modeling principles and database technologies (SQL/NoSQL). Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. Ability to work across data architecture design and data science experimentation. Programming: Python, SQL, and optionally Scala or Java. Familiarity with distributed systems and big data technologies. Strong communication skills for translating technical insights into business value. Ability to work across technical, commercial, and customer-facing teams. Supervisor and Leadership Expectations This role will not have supervisory or managerial responsibilities. This role will have program management responsibilities. Our Culture and Values Employees that become part of Astec embody the values below throughout their work. Continuous devotion to meeting the needs of our customers Honesty and integrity in all aspects of business Respect for all individuals Preserving entrepreneurial spirit and innovation Safety, quality and productivity as means to ensure success EQUAL OPPORTUNITY EMPLOYER As an Equal Opportunity Employer, Astec does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person's veteran status or any other characteristic protected by law or executive order.
    $68k-94k yearly est. 5d ago

  • Data Scientist

    Coforge

    Scientist job in Atlanta, GA

    Role: Data Scientist Mode Of Hire: Full Time Key Responsibilities • Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks). Design robust pipelines that feed into analytics and ML workflows. • Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Translate business questions into data requirements and analytics plans. • Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow. • Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows. • Model deployment & MLOps: Deploy and manage models using MLflow, docker and CI/CD pipelines. Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice. • Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration. • Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau. Focus on impact, not just analysis. Skills Required: • Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field. • 5+ years of experience in a data science, ML engineering, or analytics role. • Strong SQL, Python and ML Techniques programming skills. • Experience with Azure Cloud, Databricks, and/or Snowflake. • Experience building and deploying machine learning models in production environments. Hands-on experience with Databricks, including SparkML, and MLflow integration. • Familiarity with MLOps best practices, including version control, model monitoring, and automated testing. • Experience with tools such as Git, MLflow, Docker and workflow schedulers. • Ability to communicate complex technical work to non-technical stakeholders. • Experience with scalable model training environments and distributed computing. Preferred Qualifications • Master's degree in a quantitative or technical discipline. • Experience in financial services, fintech, or enterprise B2B analytics. • Knowledge of A/B testing, causal inference, and statistical experimentation. • Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex.
    $66k-91k yearly est. 5d ago

  • Data Scientist

    Accentuate Staffing

    Scientist job in Garner, NC

    Accentuate Staffing is working with a client that is hiring an experienced Data Scientist to work on predictive analytics and join their data and AI team. This role combines advanced machine learning research with strategic business analytics to create scalable predictive solutions that drive efficiency and smarter decision-making across the enterprise. The ideal candidate will bring a blend of technical expertise in machine learning, cloud platforms, and data engineering, alongside strong business acumen. You'll build and refine predictive models that help the company forecast sales, understand demand patterns, and make smarter operational decisions - from production planning to staffing and supply chain management. Responsibilities: Design and implement advanced predictive and machine learning models to support sales forecasting, demand planning, and strategic decision-making. Build and maintain scalable ETL/ELT data pipelines that integrate structured and unstructured data from multiple business sources. Experiment with AI techniques such as NLP, computer vision, and generative models to explore innovative applications across the organization. Partner with business and IT teams to define analytics requirements, operationalize models, and integrate outputs into dashboards and reporting platforms. Develop and manage self-service analytics dashboards using Power BI, SAP Analytics Cloud, or similar tools to deliver actionable insights. Ensure data integrity, quality, and governance across predictive systems. Qualifications: Degree in Data Science, Computer Science, Statistics, or a related field. Experience in predictive analytics, data science, or AI engineering within a business setting. Proficiency in Python, R, SQL, and experience with cloud-based ML platforms such as Azure ML, AWS, or GCP. Hands-on experience with data pipeline technologies (Azure Data Factory, Spark, Hadoop) and business intelligence tools (Power BI, Tableau, or SAP Analytics Cloud). Strong understanding of machine learning model lifecycle management, from design through deployment and monitoring. Exceptional communication and stakeholder engagement skills, with the ability to translate technical work into business value.
    $70k-97k yearly est. 5d ago

  • Data Scientist

    Parker's Kitchen 4.2company rating

    Scientist job in Savannah, GA

    We are looking for a Data Scientist with expertise in optimization and forecasting to help improve how we manage labor, staffing, and operational resources across our retail locations. This role is critical in building models and decision-support tools that ensure the right people, in the right place, at the right time - balancing customer service, efficiency, and cost. You will work closely with Operations, Finance, and Store Leadership teams to deliver practical solutions that improve labor planning, scheduling, and demand forecasting. The right candidate will be confident, resourceful, and excited to own both the technical and business-facing aspects of applying data science in a fast-paced retail environment. Responsibilities Build and maintain forecasting models (time-series, machine learning, and statistical) for sales and transactions. Develop and deploy optimization models (linear/mixed-integer programming, heuristics, simulation) to improve workforce scheduling and labor allocation. Partner with operations and finance to translate forecasts into actionable staffing and labor plans that reduce costs while maintaining service levels. Build dashboards and automated tools to track forecast accuracy, labor KPIs, and staffing effectiveness. Provide insights and “what-if” scenario modeling to support strategic workforce and budget planning. Knowledge, Skills, And Abilities Strong foundation in forecasting techniques (time-series models, regression, machine learning) and optimization methods (linear/mixed-integer programming, heuristics, simulation). Proficiency in Python or R for modeling and analysis, along with strong SQL skills for working with large-scale datasets. Knowledge of statistics, probability, and applied mathematics to support predictive and prescriptive modeling. Experience building and deploying predictive models, optimization tools, and decision-support solutions that drive measurable business outcomes. Strong data storytelling and visualization skills using tools such as Power BI, Tableau, or Looker. Ability to translate analytical outputs into clear, actionable recommendations for non-technical stakeholders. Strong collaboration skills with the ability to partner cross-functionally with Operations, Finance, and Store Leadership to drive adoption of data-driven approaches. Ability to work independently and resourcefully, combining technical depth with practical problem-solving to deliver results in a fast-paced environment. Education And Requirements Required: Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Industrial Engineering, Operations Research, or related field. Minimum 2-3 years of professional experience in Data Science or a related area. Strong skills in time-series forecasting (e.g., ARIMA, Prophet, ML-based approaches). Proficiency in optimization techniques (linear programming, integer programming). Strong Python or R programming skills. SQL expertise for large, complex datasets. Strong communication skills with the ability to partner with business stakeholders. Preferred Experience in Retail, Restaurant, and/or Convenience Stores a plus. Experience with cloud platforms (Snowflake, AWS, GCP, Azure). Knowledge of BI tools (Tableau, Power BI, Looker). Physical Requirements Prolonged periods sitting/standing at a desk and working on a computer Must be able to lift up to 50 pounds Parker's is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Parker's does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state, or local laws.
    $73k-100k yearly est. 3d ago

  • Senior Data Scientist

    Infocepts 3.7company rating

    Scientist job in McLean, VA

    Purpose: As a Data Scientist, you will play a key role in delivering impactful, data-driven solutions for our strategic enterprise clients. This role also offers the opportunity to shape and grow Infocepts' Data Science & AI practice, contributing to high-impact AI/ML initiatives, crafting data-driven narratives for stakeholders, and applying advanced techniques to solve complex business problems from strategy to execution. Key Result Areas and Activities: Design, build, and deploy AI/ML solutions using modern cloud and data platforms. Lead data science projects across industries, ensuring alignment with business goals. Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to address client use cases. Collaborate with data engineering teams to optimize model pipelines using Delta Lake and Spark. Communicate findings effectively through data visualizations and stakeholder presentations. Drive adoption of MLOps practices for scalable and reliable model deployment. Contribute to the evolution of Infocepts' Data Science & AI offerings through innovation and knowledge sharing. Roles & Responsibilities Essential Skills 5+ years of experience in applied AI and machine/deep learning. Hands-on experience with Databricks, MLflow, PySpark, and Spark MLlib. Proficiency in Python and SQL for model development and data manipulation. Strong understanding of supervised and unsupervised learning, deep learning, and Generative AI. Familiarity with cloud platforms: AWS, Azure, and GCP. Solid foundation in advanced statistical methods and probabilistic analysis. Ability to lead end-to-end AI/ML projects, including design, development, and stakeholder management. Experience with visualization tools like Tableau, Power BI, or similar. Familiarity with ML workflow orchestration and MLOps practices. Desirable Skills Experience with LLMs (Large Language Models) and agentic AI workflows. Familiarity with modern data platforms like Snowflake. Exposure to real-time data processing in cloud-native environments. Contributions to open-source AI projects or publications in data science communities. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Certifications in cloud platforms (AWS, Azure, GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."
    $78k-108k yearly est. 3d ago

  • Senior Data Scientist

    Zillion Technologies, Inc. 3.9company rating

    Scientist job in McLean, VA

    Locals to Only# In- Person Interview Job Title: Data Scientist Specialist We are seeking a highly experienced Principal Gen AI Scientist with a strong focus on Generative AI (GenAI) to lead the design and development of cutting-edge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. You will serve as a hands-on Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions. Responsibilities: Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases. Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives. Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases. Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic. Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication. Build and maintain Jupyter-based notebooks using platforms like AWS SageMaker and MLFlow/Kubeflow on Kubernetes (EKS). Collaborate with cross-functional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences. Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns. Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment. Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows-leveraging best practices like semantic chunking and privacy controls. Orchestrate multimodal pipelines** using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media. Implement embeddings drives-map media content to vector representations using embedding models, and integrate with vector stores (AWS Knowledge Base/Elastic/Mongo Atlas) to support RAG architectures. Qualifications: experience in AI/ML, with applied GenAI or LLM-based solutions. Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases (e.g., AWS Knowledge Base / Elastic), and multi-modal models. Proven experience with cloud-native AI development (AWS SageMaker, Amazon Bedrock, MLFlow on EKS). Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.). Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks. Demonstrated ability to work in cross-functional agile teams.
    $77k-110k yearly est. 4d ago

  • Senior Data Scientist

    Ltimindtree

    Scientist job in Charlotte, NC

    About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Role: Senior Data Scientist - Generative AI & Solution Architecture Location: Charlotte, NC Work Mode - Hybrid (2-3 days from client office) Experience: 10+ Years Job Description We are looking for a Senior Data Scientist to lead the design and implementation of a Generative AI-driven Contract Risk Reporting System. This role involves building advanced RAG pipelines, a reporting engine, and an interactive chatbot. The ideal candidate combines deep technical expertise, AI/ML fundamentals, and the ability to interpret legal contract language into actionable solution requirements, while engaging directly with clients. Key Responsibilities: Architect and deliver AI solutions for contract risk analysis and reporting. Design and implement LLM-based RAG systems, reporting dashboards, and conversational interfaces. Translate legal domain requirements into technical specifications. Collaborate with clients for requirement gathering, solution validation, and presentations. Ensure MLOps best practices, model monitoring, and Model Risk Management (MRM) compliance. Required Skills: Expertise in Generative AI, LLMs, RAG architectures, and NLP techniques. Strong foundation in machine learning algorithms, model evaluation, and feature engineering. Hands-on experience with MLOps pipelines, model governance, and risk controls. Proficiency in Python, LangChain, Vector Databases, and Cloud platforms (AWS/Azure/GCP). Ability to interpret legal contract language and map it to technical solutions. Excellent communication, client engagement, and solution design skills. Preferred: Experience in legal tech, contract analytics, or risk management solutions. Familiarity with prompt engineering, domain-specific fine-tuning, and LLM optimization. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
    $77k-107k yearly est. 1d ago

  • Chemist (HPLC exp with Chemistry background)

    Aequor 3.2company rating

    Scientist job in Holly Springs, NC

    Fully Onsite - Standard hours - Up to 5 days per month may require shift flexibility. We are seeking a highly motivated and experienced Senior Associate in Quality Control (QC) Chemistry to support the startup and operational readiness of our QC laboratory. Working with minimal supervision, this individual will lead and contribute to critical activities including system qualifications, method transfers, and laboratory operations in a GMP-regulated environment. Key Responsibilities: • Collaborate cross-functionally with site teams to implement work order and preventative maintenance systems for laboratory equipment. • Review and contribute to validation documentation to support onboarding of equipment and computerized systems. • Draft, revise, and review technical and quality documentation such as SOPs, test methods, technical assessments, validation reports, trend reports, and safety evaluations. • Assist in the procurement of laboratory consumables and critical reagents required for startup activities. • Coordinate and execute training and method transfer activities for instruments including HPLC, UPLC, TOC, and other chemistry-based platforms. • Actively participate in audits, quality initiatives, and cross-functional projects with site or global impact. • Provide routine operational support during weekends and public holidays as required. Preferred Qualifications: • Bachelor's degree or higher in Chemistry, Biochemistry, Chemical Engineering, Physics, or a related scientific discipline. • Minimum of 4 years of relevant laboratory experience in a GMP pharmaceutical or biopharmaceutical manufacturing environment, with a strong background in analytical testing. • Proficient in analytical laboratory techniques and instrumentation. • Familiarity with laboratory systems such as LIMS and LMES/CIMS. • Demonstrated understanding of industry regulations, data integrity, and compliance standards. • Strong technical writing, documentation, and communication skills. • Experience with method and equipment validation, including verification, transfer, and change control. • Excellent interpersonal skills with the ability to collaborate across teams and adapt to varying communication styles. Top 3 Skills: Must be flexible Must have a chemistry background Nice to have: cGMP knowledge Day to Day Responsibilities: Daily responsibilities include routine sample testing, method transfers, and method validations based on laboratory activities.
    $41k-58k yearly est. 4d ago

  • Chemist

    Radiant Systems Inc. 4.5company rating

    Scientist job in Wilson, NC

    We are hiring Chemist - I. Please let me know if you are interested or anyone who might be interested. Client: Major Pharmaceutical Manufacturing Client Chemist - I Duration: 6+ months on W2 ONLY Pay Rate: $24.00-$25.00/ Hr ***LOOKING FOR ENTRY LEVEL GRADUATES WITH CHEMISTRY BACKGROUND*** __________________________________________________________________ DESCRIPTION: Work Location: Wilson - NC Onsite Job Summary Performs a variety of chemical analyses and GMP review in accordance with cGMP, GLP, DEA and company policies and procedures. Primary Responsibilities Perform routine testing (dissolution, assay/degradant, content uniformity and ID) of drug products in a cGMP laboratory. Complete all assigned testing in a timely and organized manner in accordance with cGMP, GLP, DEA and company policies and procedures. Enter data into laboratory information system and accurately document all necessary and relevant information in a clear concise manner as per cGMPs. Operate and maintain all analytical instrumentation and equipment as per established procedures; perform basic troubleshooting. Communicate openly within the group to provide and gather information, to optimize the use of resources and to optimize efficiency. Aid other group members as required. Ensure that equipment and working areas are maintained with good safety and housekeeping practices. Re-stock chemicals and consumables used in analysis. Performs other related assignments and duties as required and assigned. Education and Experience Requirements The incumbent must have a BA or BS degree in Chemistry or closely related science. Minimum of 1-year relevant experience preferred. Necessary Knowledge, Skills, and Abilities Understanding of analytical technology (HPLC, GC, Dissolution, Automation, or Spectroscopy - UV/Vis, NIR, IR, or AA/AE). Relevant experience may include academic and/or industry experience and is measured based on the quality and quantity of the experience as it relates to the requirements of the position. Regards Vishnu Das Natesan ********************
    $24-25 hourly 3d ago

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How much does a scientist earn in Asheville, NC?

The average scientist in Asheville, NC earns between $48,000 and $104,000 annually. This compares to the national average scientist range of $67,000 to $140,000.

Average scientist salary in Asheville, NC

$70,000
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