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As an Analyst in Labor Engineering , you will significantly influence in-store operations and drive large-scale, visible improvements to both associate and customer experiences while optimizing billions of dollars in payroll expenses.. How do we engineer models to support specialized areas such as Pro and Kitchen Design ?. Facilitate workout problem-solving sessions with multiple groups of people.. Typically reports to Operations Process Manager or Business Manager. Microsoft Excel knowledge (Pivot Tables, V Lookup, etc.)
An interest in data science, data engineering, or machine learning.. Experience or a desire to learn: Deploying and maintaining Kubernetes applicationsDevOps and MLOPsIT automation (, SaltStack, Ansible, Terraform, etc.). Familiarity with NVIDIA GPUs and NVIDIA GPU appliances.. Flexible work schedules including flex time and compressed work period.. Remote work including partial or fully remote (contract and project-dependent).
Description:What We’re Doing: Lockheed Martin, Cyber & Intelligence invites you to step up to one of today’s most daunting challenges: the use of advanced electronics to undermine our way of life.. Cyber | Lockheed Martin Who we are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges?. You will propel the customer into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities.. System Security (ISSO / ISSE / ISSM). User Experience Designer
The team’s responsibilities revolve around using new technologies to ensure the compliance of interactions and accesses between various enterprise systems.. Candidate should have experience in the following: Demonstrated experience in architecting, designing, developing solutions using the ELK (Elasticsearch, Logstash and Kibana) stack. Understanding and comfort with enterprise frameworks for dependency injection, object relational mapping and logging (Spring Framework, Hibernate, SLF4J). Familiarity with Build Management, Continuous Integration, and Automated Testing (Maven, Jenkins). Additional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance
The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.. Must be able to work in a hybrid environment, on average 2-3 days per week in Aberdeen Proving Ground, MD.Flexibility is essential to adapt to schedule changes if needed.. Proficient in configuration management tools such as Terraform, Ansible or Puppet. Knowledge of AWS services (EC2, EBS, S3, Lambda) and their application to deployment and management of infrastructure.. Desired Technical Skills Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.
You have 5+ years of expertise in computer security, data science, networking, databases, large data sets and performance optimization.. Experience with SQL, Elasticsearch , Lucene, and/or other search technologies is required.. Email/Web/Firewall/Malware security research or engineering experience is a huge plus.. or Golang experience would be required.. Experience with Databricks a huge plus
Develop solutions using the Agile framework and utilize DevSecOps hyper-automation methodology.. Hands-On Solution Architect, the final tier-SME for assigned responsible areas *Has the ability and willingness to manage people We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.. 10+ years of hands-on data-centric software development experience and designing solutions on complex architectures *10+ years implementing engineering best practices, iterative/continuous engineering principles *6+ years designing, implementing, and managing complex cloud architectures for data-centric applications *6+ years designing, implementing, and managing cloud big-data architectures (Databricks, Hadoop, EMR, Spark, Redshift etc.). 8+ years of CICD pipelines for DevSecOps, Data, and/or MLOps *5+ years of experience designing secure data solutions with PHI and PII. *6+ years of large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations.. Experience with Atlassian Jira/Confluence *Excellent verbal and written communication 80-110H Nice to Have Skills & Experience Desired Qualifications: *Data platform certifications (, Databricks), Coding Certifications (Python, R, etc.)
Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting.. Your role and responsibilities This role will design and develop Appian solutions.. This will include:Implementing end to end process automation using Appian and other intelligent automation technologiesPerform code reviews for Appian developersConduct root cause analysis for Appian outagesRestore Appian services in the event of an outageDevelop Appian based solutions using all object types available in Appian.. 1 Year of Experience With Java, Experience with Appian For KubernetesApplication Performance Optimization, NoSQL databasesCloud Resource Management ABOUT BUSINESS UNITIBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation.. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
Overview Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.. As a Data Scientist with concentration in Data Quality for the All of Us Research Program, you will be responsible for designing, developing, and implementing systems to ensure the accuracy, completeness, reliability and study-readiness of the Center for Linkage and Acquisition of Data (CLAD) platform.. Proficiency in programming and scripting languages, including Python, R and SQL. Working knowledge of statistical methods and tests.. Familiarity with medical coding systems (ICD, CPT, HCPCS, NDC, LOINC, SNOMED, Exceptional analytical skills.
At ManTech International Corporation, you’ll help protect our national security while working on innovative projects that offer opportunities for advancement.. Currently, ManTech is seeking a motivated, career and customer-oriented Lead CNO Data Science Software Engineer to join our team in the Hanover, Maryland location.. Knowledge of Databases and General Troubleshooting (tuning and optimization, deadlocks, keys, normalization) in any Relational Database Engines (MySQL, PostgreSQL, Oracle, SQLServer). Experience with Atlassian Tools (Confluence, Jira, Bamboo, Crucible). For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license.
CTC Group is seeking Data Scientists, levels 1-2, for a contingent program to develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets.. Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation. Active TS/SCI with polygraph security clearance. Two (2) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.. Five (5) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
The current senior care payments experience is broken which increases costs and inefficiencies for senior living operators while making it confusing, cumbersome and stressful for families.. Our founders were inspired to start the business after seeing the pain points firsthand with their own families, and deeply care about helping one of the most overlooked groups in our population: seniors.. Team. We're a dedicated, close-knit group focused on expanding hubs in Downtown Brooklyn, NYC, and Washington, DC.Traction.. The senior living market is massive at >$230b and is expected to grow rapidly as the "baby boomer" generation continues to age.. We've raised now three rounds of funding from top-tier investors including Fika Ventures, Bling Capital, Liquid2 Ventures, LiveOak Bank, Cambrian Ventures and Max Ventures.
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 seeks a dynamic and experienced Strategy and Governance Consultant and Technical Writerto support a high-impact federal civilian agency.. This hybrid role is ideal for a professional with a firm understanding and experience with cybersecurity, supply chain risk management and cyber supply chain risk management/ third party risk management.. Reviewing and maintaining CMS DSI SCRM SharePoint library for official work products. financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships.
Lead the design, development, and deployment of PySpark-based big data solutions. Architect and optimize ETL pipelines for structured and unstructured data. Implement best practices in data engineering (CI/CD, version control, unit testing). Work with cloud platforms like AWS •Ensure data security, governance, and compliance. Digital : Amazon Web Service(AWS) Cloud Computing, Digital : PySpark
The Lead Big Data Engineer, working independently, will develop, test, debug and document software components commensurate with their experience as well as direct development staff in support of a software engineering effort.. Build efficient and reliable ETL processes using Apache Spark and cloud-native tools on AWS. FINRA offers immediate participation and vesting in a 401(k) plan with company match and eligibility for participation in an additional FINRfunded retirement contribution, tuition reimbursement, commuter benefits, and other benefits that support employee wellness, such as adoption assistance, backup family care, surrogacy benefits, employee assistance, and wellness programs.. Other paid leave includes military leave, jury duty leave, bereavement leave, voting and election official leave for federal, state or local primary and general elections, care of a family member leave (available after 90 days of employment); and childbirth and parental leave (available after 90 days of employment).. FINRA employees are required to disclose to FINRA all brokerage accounts that they maintain, and those in which they control trading or have a financial interest (including any trust account of which they are a trustee or beneficiary and all accounts of a spouse, domestic partner or minor child who lives with the employee) and to authorize their broker-dealers to provide FINRA with duplicate statements for all of those accounts.
The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.. We are seeking a skilled and motivated bioinformatics professional to join the Cancer Genomics Research Laboratory (CGR), located at the National Cancer Institute (NCI) Shady Grove campus in Rockville, MD. CGR is operated by Leidos Biomedical Research, Inc., and collaborates with the NCI’s Division of Cancer Epidemiology and Genetics (DCEG)—the world’s leading cancer epidemiology research group.. The successful candidate will provide dedicated analytical support to the Integrative Tumor Epidemiology Branch (ITEB) and contribute to cancer research in areas such as GWAS, germline and somatic variant analysis, single-cell RNA sequencing, and proteomics expression analysis.. The bioinformatics analyst will support the installation, troubleshooting, and execution of analytical pipelines using open-source scientific software on Unix/Linux and cloud-based platforms.. Lead Computational Biologist - Viral Diseases Silver Spring, MD $100,500.00-$146,000.00 1 week ago
Very Strong hands-on experience with PySpark, Apache Spark, and Python.. Strong Hands on experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc. Proficiency with workflow schedulers like Airflow.. Experience with PySpark, Apache Spark, and Python.. Experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc
These insights influence business strategy, inform channel design, and predict client behaviour.. Integrate analytics into operational processes to improve efficiency and client experience.. Ensure compliance with statutory, legislative, policy, and governance requirements.. 5-8 years' experience in a Data Science role, with 1-2 years in team management.. Honours Degree in Mathematics, Engineering, or Actuarial Science.
This team will leverage data as a key asset to accelerate technology transfer and simplify validation processes, support continuous improvement for established commercial processes, and enhance technical understanding of biopharmaceutical manufacturing. Familiarity and experience with relational databases, statistical software (i.e. SAS, SIMCA, JMP or WebStatistica), modeling and visualization software (i.e. Python, R, Matlab, MS Power).. Experience with manufacturing / engineering environments including systems such as IP-21, M-ERP, LIMS, Aspen eBRs. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site.
Lead Software Engineer - Azure Machine Learning.. In this fully remote role, you'll collaborate closely with data scientists, analysts, and business stakeholders to build scalable, cloud-native applications leveraging Microsoft Azure's machine learning and data platforms. This is an exciting opportunity for a hands-on technical leader with a strong background in software architecture, machine learning lifecycle management, and cloud-native development using. 5+ years working with optimization and forecasting models and full ML lifecycle using Microsoft Azure (Azure ML, Azure Databricks, Azure DevOps). Strong hands-on experience building microservices-based applications using C# and.