Data Science & Machine Learning Jobs

Description Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.. Requirements Bachelor's Degree with 10 years of relevant experience, Associates degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.. Employ must have some combination (2 or more) of the following skill areas: Data Processing: Data management and curation, data description and visualization, workflow and reproducibility

Based in North Bethesda, MD, the institute focuses on artificial intelligence and advanced computing to further develop the field of precision medicine to improve well-being, quality of life, diminish disease, and enhance health outcomes for all citizens of Maryland and beyond.. Proud to be recognized by Forbes to the Americas Best Large Employers for 2022, UMMS' flagship academic campus, the University of Maryland Medical Center in Baltimore, is recognized regionally and nationally for excellence in specialized care.. PhD degree in applied mathematics, data science, physics, computer science, engineering, statistics, economics, or a closely related field required; comparable work experience may be substituted for the PhD degree.. Text mining and Natural Language Processing (NLP) is preferred.. Knowledge of databases, data structures, data processing and data mining from large enterprise transaction systems (e.g., Epic, Infor/Lawson, McKesson HPM, Payer Claims or similar applications in healthcare or other industries).

BTS Software Solutions is seeking a Data Scientist to perform data and computer science analysis in support of customer operations.. Secondary Locations: Augusta, GA, San Antonio, TX, Oahu, HI, Various locations. Experience as a Data Scientist working to support single or multiple domain areas. Experience in Data Processing: Data management and curation, data description and visualization, workflow and reproducibility. Degree must be in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science

We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team.. Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets.. Familiarity with relational databases: Oracle, SQL, and ETL tools.. Elder Research is a fast growing consulting firm specializing in predictive analytics.. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems.

Gilbane is looking to add a highly skilled Senior Data Scientist to our Information Technology Team.. Mine various data systems, clean and structure data, develop data pipelines, and identify areas for data quality improvements in the enterprise data environment.. Partner with Data Engineering and BI teams to put models and insights into production.. Master's at least required in statistics, data science, economics, psychology (research / experimental) or other heavy quant focused social or other science (biometrics).. Need deep knowledge of statistical analysis, predictive modeling, machine learning, data mining, feature engineering, causal inference, scientific research methods.

Position Overview WhirlWind Technologies, LLC has an immediate opening for a Junior Data Scientist with projects relating to data science, artificial intelligence (AI), or familiarity with key concepts in each field while working remotely.. Lead and obtain organic growth of the current IT contract and client account.. Identify and integrate tools to enhance data visualization efficiencies and effectiveness such as machine learning (ML), artificial intelligence (AI), and robotics process automation (RPA).. R, MATLAB, Java, Scala, EMR/spark or similar.. Previous working experience as a data scientist or machine learning.

We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector.. We are actively hiring a Data Scientist - Level 2 with TS/SCI clearance and polygraph to join our Defense and Homeland Security Division working in Annapolis Junction, MD.. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.. Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, linear models). Pay Range There are many factors influencing final salary, including geographic location, Federal Government contract labor categories, relevant prior experience, skills, education, and certifications.

We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means. an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.. Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others.. For mid-level data scientists, 3-6 years of experience on Data Science projects.. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.

As a Data Scientist, Level 3, your role is pivotal.. Data Processing: Data management and curation, data description and visualization, workflow and reproducibility. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings.. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.. Clearance Required: Must possess an active TS/SCI with Full Scope Polygraph security clearance to be considered for this role.

Overview Ariadne is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health.. This opportunity is full time and onsite at the NIH in Bethesda, MD and/or remote work.. Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems. Work with a diverse group of scientists, bioinformaticians and other developers across the center to implement efficient bioinformatics algorithms. Fluency in some scripting languages such as BASH, csh, Perl, or Python

The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space.. Expert-level knowledge of multiple modern AI/ML, vision, NLP, bioinformatics and/or mathematical or computational libraries.. For AI/ML concentration, experience designing, developing, training and applying state-of-the-art AI/ML models and/or generative AI to practical applications such as vision, NLP, bioinformatics, chemical discovery, medical diagnostics, robotics, anomaly detection, recommendation systems and time series analysis.. Areas of relevant expertise include design and development of statistical and mathematical models of data, data transformation, ETL and information extraction, data modeling of complex scientific datasets, architectures for computing with large datasets, distributed computational pipelines and real-time data streaming architectures. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing.

Machine learning and artificial intelligence implementation.. Big data manipulation, data mining, anomaly detections and trend analysis.. data structures, data mining, artificial intelligence).. Relevant Experience Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python. statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.. Huntington Ingalls Industries (HII) Mission Technologies Warfare Systems partners with the DoD and defense innovation ecosystem to rapidly acquire and field critical and emerging technologies, particularly integrated communications, networking, and Systems-of-Systems (SoS) technologies, to enhance national security and warfighter capabilities.. Collaborates across multi-functional teams to identify opportunities for improving the advanced engineering and modeling and simulation experimentation environment and solutions.. Integrates AI engine/techniques with Modeling and Simulation applications.. Minimum Qualifications 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in realted field; or High School Diploma or equivalent and 13 years relevant experience.

As a Senior Software Engineer, You Will Develop, Maintain, And Enhance Complex And Diverse Software Systems, Working Individually Or As Part Of a Team. You Will Implement Scalable Data Pipelines, Refine Existing Processes, And Integrate Machine Learning Analytics To Improve Efficiency And Accuracy.. Skilled in containerization tools like Docker and Kubernetes. Leveraging AWS services such as EC2, S3, and RDS for application development and deployment. Experience with Docker and/or Kubernetes. Software Engineer (Full-Stack Developer) Fort George G. Meade, MD $130,000.00-$200,000.00 3 weeks ago

Bachelor’s degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.. Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain. Director, Software Engineering - Core Platforms Maryland, United States $110,350.00-$137,000.00 2 weeks ago. Software Development Manager, Amazon Optics Annapolis Junction, MD $166,400.00-$287,700.00 1 week ago

Clearance: An ACTIVE Secret Clearance is required for this position.. Expertise in AI frameworks like TensorFlow, PyTorch, scikit-learn, and Keras.. Solid understanding of machine learning and AI testing methodologies.. A knack for identifying user needs and crafting solutions for complex challenges.. Be part of a team that not only supports our armed forces but also encourages growth, creativity, and community service.

We are seeking a Software Engineer to support CNO's Custom Media Operations team leading the charge on AI/ML capabilities. Build a full stack application in collaboration with machine learning and artificial intelligence engineers doing novel computer vision model development.. Prototype future capabilities with the CMO data science team as they generate new ideas to meet their customers' needs.. Experience with User Experience Design.. Python/Flask development experience.

This role involves working closely with adverse events data, including HL7 and other clinical data standards, to build scalable, accurate, and efficient AI models that improve drug safety, signal detection and operational efficiency.. Builds, trains, validates, and deploys machine learning models to solve healthcare-specific problems such as predictive analytics, anomaly detection, clinical decision support, and natural language processing on medical data.. Implements and optimizes models using Python, R, Java, or other relevant programming languages and frameworks (e.g., PyTorch, TensorFlow, scikit-learn).. Sign in to set job alerts for “Machine Learning Engineer” roles.. Junior Software Engineer - Fully Cleared (Prime) Annapolis Junction, MD $127,000.00-$167,000.00 1 week ago

Experience with PySpark, Apache Spark, and Python.. Experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc. Very Strong hands-on experience with PySpark, Apache Spark, and Python.. Strong Hands on experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc. Sign in to set job alerts for “Informatica Developer” roles.

Key Qualifications and Skills Data lake storage, which may include technologies such as Databricks, Snowflake, Azure Data Lake, Google Cloud Storage, AWS S3 / AWS Lake formation. Data Mapping and Transformation concepts and hands-on experience using data mapping capabilities that include ETL tools like Informatica or integration technologies such as Mulesoft. Experience working with Salesforce Marketing Cloud using Data Cloud or Salesforce Customer Data Platform (CDP). Experience using Mulesoft as a data migration tool, to create actionable APIs, and emerging knowledge of Mulesoft's Model Context Protocol (MCP) capabilities as a driver for AI agent interaction. Knowledge of working with and integrating existing data lake technologies like Databricks, Snowflake, Azure Data Lake, etc and how these technologies can work alongside Data Cloud