Senior data scientist jobs in Greensboro, NC - 1,525 jobs

A leading financial services firm in McLean, Virginia, is seeking experienced data analysts to leverage their quantitative expertise in building machine learning models. The ideal candidate will have a Bachelor's, Master's, or PhD in a quantitative field and at least 5 years of relevant experience. Responsibilities include collaborating with various teams to deliver products and translating complex data insights into business objectives. Capital One offers a supportive benefits package to promote well-being. #J-18808-Ljbffr

**ONLY FROM DMV AREA** Data Science and AI experience is a must • Look for more Data Scientist/ AI/ML Engineering Backgrounds • A lead Data Scientist with understanding of Solution designing can fit for this role • A hands on solution architect with Data Science and AI experience can be a potential fit for this role • I believe being end of the year might be a reason we have not got great candidates thus I am hopeful in January we might see a different variety of people • Not suitable for this role: “Solution Architects” with no data science background” , “Data Architects”, “Cloud Architects”

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 10040 Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent - 3+ years of cloud architecture and solution implementation experience - 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift. - Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing. - Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred. - Experience with automation and scripting (e.g., Terraform, Python). - Knowledge of security and compliance standards (e.g., HIPAA, GDPR). - Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda. - Experience with non-relational databases and implementing data governance solutions. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with data scientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you! #J-18808-Ljbffr

Terms of Employment • W2 Contract-to-Hire, 12 months • This is a hybrid schedule at Reston, VA, Candidates must reside in Maryland, Washington, DC, or Virginia Role Purpose The Lead Data Engineer is responsible for designing, building, deploying, and scaling robust data solutions with a primary focus on the AWS Cloud platform. You will lead a team in transforming the company's data platforms to deliver meaningful, data-driven insights while ensuring high reliability, automation, and performance Core Responsibilities: • Data Integration & Pipeline Leadership (50%): Lead the team to design, implement, and monitor all aspects of Data Integration. Develop and enforce best practices for data management, ensuring optimal performance for complex data pipelines. • AWS Infrastructure & Architecture (10%): Develop and maintain cloud-based infrastructure, including data warehouses (Redshift) and data lakes (S3). Model Data Warehouse solutions specifically tailored for cloud environments. • Engineering Oversight (10%): Oversee the delivery of high-priority engineering initiatives, managing both long-term projects and ad-hoc ELT/ETL activities. • Data Extraction & Transformation (10%): Create sophisticated data collection frameworks for structured and unstructured data. Apply advanced ETL/ELT techniques to connect large, diverse datasets. • Analytics & Quality Control (5%): Execute quantitative analyses to translate data into actionable insights. Design and manage strict quality control procedures across multiple systems. • Professional Development (5%): Maintain state-of-the-art practices by participating in professional societies and benchmarking new technologies. Required Qualifications Education: Bachelor's degree in Computer Science or IT. In lieu of a degree, 4 additional years of relevant experience is required. Experience: At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling. Data Engineering on AWS platform preferably leveraging S3, Kafka, Redshift and other AWS services., at least 3 years ETL/Data Integration Design and Development experience using Java/Scala, Spark preferably on Cloudera Platform .,couple of projects Knowledge and understanding of SQL ., Expert Strong Java Programming with enterprise scale experience ( using Git,Artifactory and other DevOps tools) Knowledge and understanding of database design and implementation concepts. , Expert Knowledge and understanding of data exchange formats., Expert Knowledge and understanding of data movement concepts, Expert Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert Able to effectively provide direction to and lead technical teams., Expert nTech is an equal opportunity employer. All offers of employment are contingent upon pre-employment drug and background screenings. Only candidates who meet all of the above client requirements will be contacted by a recruiter.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: + Respond effectively to the diverse perspectives, needs, and feelings of others. + Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. + Use critical thinking to break down complex concepts. + Understand the broader objectives of your project or role and how your work fits into the overall strategy. + Develop a deeper understanding of the business context and how it is changing. + Use reflection to develop self awareness, enhance strengths and address development areas. + Interpret data to inform insights and recommendations. + Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach + Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Structuring, write, communicate and facilitate client presentations; and, + Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing AI/GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk. Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead small projects with manageable risks and resource requirements; play significant roles in larger, more complex initiatives. Act as a resource for teammates with less experience. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk. 2. Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 3. Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences. 4. Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners. 5. Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices, focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation. 6. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage; data governance and analytics capabilities; help with the overall risk management for the team. 7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2. Minimum of six years of related experience 3. Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility 4. In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc. 5. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques 6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight deadlines in a collaborative environment Preferred Qualifications: 1. Working experience of delivering data integration solutions using ETL tools (like Informatica, Ab initio etc.) and Programming languages (SAS, Python etc.) 2. Working knowledge of Snowflake and deal with heterogeneous data bases like Oracle, Hive, Netezza, DB2 and SQL Server. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 3. Ten years of relevant work experience if candidate lacks graduate degree 4. Previous experience in the banking or fin-tech industry 5. Experience working with data science workspace within Adobe Enterprise Platform 6. Experience working with Graph Databases, graph query language, and related algorithms General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Job Title: Data Scientist LOCATION: ARLINGTON VA / WASHINGTON DC (DUE TO CUSTOMER REQUIREMENTS YOU MUST BE LOCATED IN THE GREATER WASHINGTON DC AREA) Workplace: Hybrid Clearance Required: Must have a IRS Public Trust w/a Full Background Investigation Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Analyst of all levels with an IRS Public Trust w/ background investigation interested in supporting the Government customer. When new IRS Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. Position Overview: As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies. Position Requirements: Required Clearance: Must have a IRS Public Trust w/a Full Background Investigation Required Education: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) Required Skills / Experience: * Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions * Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic * Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL) * Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools. * Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques. * Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations * Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand * Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline * Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training * Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models * Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication * Ability to work autonomously in a collaborative, dynamic, cross-functional environment * Demonstrated business savvy with solid interpersonal and communication skills (written and verbal). * Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification. Preferred Skills and Qualifications: * Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) * 1+ years of experience in data science, data analytics, or a related technical field * Prior computer programming experience, preferably in a language such as Python or R * Experience with data exploration, data munging, data wrangling, and model development in R or Python * Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL * Humble and willing to learn, teach, and share ideas * Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements * Comfortable learning new things and working outside of your comfort zone * Technical mindset you are not afraid of math! * Must currently possess a Public Trust clearance * Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements. Desired Skills * Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,) * Programming techniques (e.g. pair programming, code reviews) * Experience with containerization and environment management (venv or conda) * Experience with Natural Language Processing (NLP) and advanced text mining techniques * Experience with graph analytics and network analysis * Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure * Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting * Experience implementing data science processes in a remote, austere environment to include using bash * Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,) * Understanding of the data analytics lifecycle (e.g. CRISP-DM) Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement.

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist III will be responsible for leading advanced analytics and data science initiatives in support of the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, with a focus on strategic data enablement across the Navy Information Warfare enterprise. Responsibilities This position provides oversight and direction for the implementation of data strategies, frameworks, and predictive analytics. The candidate will align data solutions with mission goals, lead cross-functional teams, and guide the adoption of enterprise-wide data governance, visualization, and analysis tools. This position is a hybrid role based in Suffolk, VA, with limited travel anticipated. Responsibilities Lead the strategic development and execution of data science and analytics initiatives supporting NAVIFOR's Command Data Office (CDO) Oversee the implementation of the NAVIFOR CDO Data and Analytics Capability Maturity Implementation Plan (I-Plan) Apply advanced data science techniques including machine learning, AI, and statistical modeling to develop mission-aligned insights Coordinate enterprise data governance and strategy across diverse stakeholder groups Provide subject matter expertise in designing and optimizing Extract, Transform, Load (ETL) pipelines and data architecture Supervise and mentor junior data scientists, analysts, and engineers in best practices and methodologies Develop performance metrics, dashboards, and process improvement strategies using NPIER/DMAIC Author and present detailed white papers, briefs, and reports to Flag/SES-level stakeholders Qualifications Education: Master's degree in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum of 7 years of demonstrated experience in data strategy, data science, governance, and advanced analytics, preferably supporting DoD or Navy enterprise environments Clearance: Active Secret Clearance required Technical Skills: Expertise in statistical analysis, AI/ML frameworks, and advanced analytics tools Familiarity with data governance, Navy data strategies, and enterprise analytics Experience with Navy cloud platforms, data engineering tools, and collaboration tools such as Power BI, Jupyter, Confluence, and Jama The candidate must: Be capable of performing effectively individually and as part of a team Have effective critical thinking and problem-solving skills Be self-motivated and able to successfully deliver with minimal supervision Be proficient in Microsoft Office Suite Pay Range Base pay is $135,000-$145,000, subject to skill level, qualifications, and location. Benefits Highlights: 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline. 3-5 years of experience in exploratory data analysis Basic understanding of business and operating environment Statistics Programming, data modeling, simulation, and advanced mathematics SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Working knowledge of procedures, instructions, and validation techniques Model Development Communication Critical Thinking Collaborate and Build Relationships Initiative with sound judgement Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Sound Judgment Problem Solving (Responds as problems and issues are identified) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired Qualification(s) Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering 4-5 years of experience in exploratory data analysis Hours: Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 Design, develop, and evaluate moderately complex predictive models and advanced algorithms Identifies meaningful insights from large data and metadata sources Test hypotheses/models, analyze, and interpret results Exercise sound judgment and discretion within defined procedures and practices Develop and code moderately complex software programs, algorithms, and automated processes Use modeling and trend analysis to analyze data and provide insights Develop understanding of best practices and ethical AI Transform data into charts, tables, or format that aids effective decision making Build working relationships with team members and subject matter experts Lead small projects and initiatives Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

Data Scientist Position Type: Full-time (ON-SITE) Chantilly, VA Clearance Required: TS/SCI w/CI Poly Waypoint's client is seeking a highly motivated and skilled Data Scientist to join their team supporting a critical government client. This position offers the opportunity to support RDT&E for cutting-edge projects supporting space-based systems. Responsibilities Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments. Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models. Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis. Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools. Required Qualifications: Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field. 3+ years of experience in modeling and simulation for aerospace or space systems. Active Top Secret/SCI w/Poly Clearance Strong understanding of sensor phenomenology-such as optical, infrared, or radar systems-and associated modeling methods. Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial. Ability to communicate technical results clearly in both written and verbal formats. Preferred Qualifications: Master's degree in a STEM related field. 6+ years of related experience. Experience with other simulation tools and programming languages. Experience with non-cooperative target tracking. Experience with collection & revisit modeling. Knowledge of cloud computing platforms (e.g., AWS, Azure).

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do We are seeking a Senior Data Scientist to independently own and drive analytics initiatives for Family Experience (FamXP), Investigation analytics and Trust and Safety, with a focus on impacting team and product outcomes. You'll apply your expertise to transform ambiguous business questions into actionable insights while handling highly sensitive data with care and discretion. This role requires leading cross-functional projects, building strong stakeholder relationships across multiple teams, and maintaining the highest standards of data privacy and security. The role is expected to build foundational re-usable data models as well as end reporting and ad hoc analysis to support teams from FamXP, a product team, to Legal. In this role, you will Own and deliver end-to-end analytics projects for Family Experience and Trust & Safety that drive team outcomes and measurably influence product/org outcomes, from problem framing through impact measurement; can range from telemetry implementation to reporting to automation (from Workato to ML). Solve ambiguous Family Experience and Trust & Safety problems by designing analyses, evaluating options/tradeoffs, and making independent decisions that keep work moving in a dynamic environment Execute team and product/org strategy through analytics planning: translate strategy into metrics, roadmaps/backlogs, and clear success criteria; contribute to setting team goals Build and maintain production-quality metrics, dashboards, and data models that monitor safety, parental controls, and age-appropriate experiences across Epic's ecosystem. Drive alignment around approach and outcomes with Trust & Safety, Product, Engineering, Legal, and Policy partners across the team and organization, managing expectations and trade-offs. Handle sensitive data related to minors and safety incidents with discretion, applying privacy/security best practices and Epic data governance requirements Mentor others on the team and within the product/org: share best practices, review work, and raise the bar for how analytics is done. What we're looking for 6-10 years of demonstrated ability to own and deliver analytics projects that execute team outcomes and influence product/org outcomes Strong SQL skills (Python, PySpark a plus) and experience working with large-scale datasets; comfort in modern data environments (e.g., Snowflake/Databricks/Spark); familiarity with version control and workflow orchestration tools (Airflow or similar) is a plus Proven ability to solve ambiguous problems and make independent decisions on team projects with minimal/no oversight Experience turning messy data into production-quality metrics, dashboards, and data models that support operational monitoring and decision-making Strong judgment handling sensitive or regulated data; working knowledge of privacy/security practices and relevant compliance concepts Ability to execute team + product/org strategy via planning and prioritization; can translate goals into measurable outcomes and help set team goals Track record of driving alignment and collaboration across immediate/adjacent teams and the broader product/org Clear communicator who can align stakeholders through concise updates and documentation that drive decisions and action Evidence of mentoring others on the team/product org (coaching, reviews, raising standards) Domain strength in Trust & Safety and/or family experiences online (e.g., moderation, account safety, community health, fraud, or safety feature measurement) EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Primary Purpose The Data Engineer IV will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They will drive our data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They engage through the entire lifecycle of a project from data mapping, data pipelines, data modeling, and finally data consumption. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. They will proactively optimize or even assist with the design of our company's data architecture to support our next generation of products and data initiatives. They will work on various, ambiguous, and complex issues, where analysis of situations or data requires an in- depth evaluation of variable factors, thorough understanding of the business strategy, operations, markets and key stakeholders. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC , Chicago, IL, Quincy, MA. Applicants must be currently authorized to work in the United States on a full-time basis. Duties and Responsibilities * Creates and approves source to target data mappings for data pipelines and integration activities * Identifies and resolves the impact of proposed application development/enhancements projects * Performs data profiling and process analysis to understand key source systems and uses knowledge of application features and functions to assess scope and impact of business needs * Works with business users to design, develop, test, and implement business intelligence solutions in the Data & Analytics Platform * Assists in assessing alternative software solutions for workability and technical feasibility. * Work closely with business teams in every stage from gathering requirements to closure of project * Work with the key stakeholders to create requirements for each business solution, ensure the requirements are developed in concert with and agreed upon by the business partner, and that the solution delivers the agreed upon business needs * Implement and maintain data governance policies and procedures to ensure data quality, security and compliance * Initiates and leads workstreams for improving way of working in teams, eliminating technical debt and optimizing business processes * Acts as a subject matter expert on technology solution * Responsible for coaching/mentoring/leading junior engineers * Consistently delivers very high-quality work in cross-functional environments - seen as an expert and technical leader among peers * Has a balanced approach to team empowerment and leadership driving successful brainstorming sessions and solid technical conclusions to work approaches while modeling self-accountability, continuous development and team contributions * Remain up to date on emerging technologies and best practices in data engineering. Recommend new approaches to improving data infrastructure * Ensure operational stability of a 24/7/365 grocery retail environment by providing technical support, system monitoring, and issue resolution which may be required during off-hours, weekends, and holidays as needed Qualifications * Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience) * 8 or more years of equivalent experience in relevant job or field of technology * Experience in an advanced role or technical capacity, leading teams directly or indirectly * Experience directly responsible for guiding, training or onboarding team members in relevant technologies, capabilities or skills * Experience with some or all of the following: Databricks, Azure Data Factory, Azure DevOps, TSQL, Python, PySpark, PowerBI, Data Warehouse Concepts Preferred Qualifications * Masters Degree in relevant field of study, Additional trainings or certifications in relevant field of study * 3 or more years experience in Agile teams and Product/Platform based operating model * 3 or more years of experience in leading teams or advancing technical capability in teams * Experience in retail or grocery preferred #DICEJobs #LI-hybrid #LI-SS1 Salary Range: $146,960 - $220,440 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a comprehensive benefits package, paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work/life balance. Primary Purpose of Organizational Unit Our primary mission is providing instruction of the highest quality in physics and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural sciences because it provides understanding of the forces governing the structure of matter, from subatomic particles to the large-scale structure of the universe. Our departmental instructional mission spans all segments of the student community. Over 60% of all college graduates from UNC-CH have taken a course in our department. Among them: undergraduate liberal arts majors who should master the power of quantitative reasoning; undergraduates seeking a degree in another of the natural sciences, who need physics as a foundation for their advanced scientific training; the small number of undergraduates who major in physics, to whom we provide broad and rigorous training. Our graduate education and research advances frontiers of knowledge at the two extremes of space and time, from the very small) the realm of particle physics) to the very large (the realm of astronomy, while expanding the boundaries of knowledge in the many subfields spanning length scales between. Forefront physics and astronomy research requires access to well-equipped laboratories and extensive computing capabilities; it also must be supported by comprehensive and accessible library collections. Again, in research at this advanced level, the bridging aspect of physics provides basic interdisciplinary insight for many other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous research grants held by faculty in the department to maintaining course and student records. These activities are usually accomplished in a standard 40- hour week schedule. Position Summary The Argus Array will be the largest optical telescope array ever assembled, with a collecting area comparable to the largest monolithic telescopes in the world. The Array will push our observations of the universe into a new regime, scanning the sky 100,000x faster than current nightly-cadence sky surveys. Argus will capture a continuous multi-color, 55-gigapixel movie of the night sky, shared with the entire astronomical community in real-time through public transient alerts, images, and light curves with millions of epochs for hundreds of millions of stars. Joining our local team of astronomers, telescope-instrumentalists, and engineers, the Data Access Engineer will build software systems to get Argus data products into the hands of astronomers around the world. Three years of prototyping efforts have demonstrated the core pipeline architecture and built an archive of representative data; we are now working to build pipelines and platforms for broad accessibility that scale to the full array. This scale up involves integration with cloud services, existing distributed storage networks, and the Array's high-performance GPU accelerated pipelines. In collaboration with a worldwide network of real-time data release and processing centers, the Data Access Engineer will take the alert distribution system to production, bringing streaming notifications and images of new and changing phenomena in the night sky to both professional and amateur astronomers alike. As Data Access Engineer, you will also oversee periodic data releases of our trillion-point light curves, establishing best practices for data versioning, integrity, and accessibility. Other responsibilities will include contributing to collaborative development of intuitive, API-first user interfaces for both internal quality assurance and public data access. Our project management philosophy emphasizes a small and local team; flat management structure; and a highly collaborative working environment. We routinely produce and test prototypes and complex hardware in-house. While you will lead the data access systems, team members frequently collaborate across boundaries and contribute hands-on to various Argus hardware and software subsystems. Minimum Education and Experience Requirements Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor's degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure. Required Qualifications, Competencies, and Experience We are searching for an engineer with deep Python expertise (5+ years) and demonstrated success in designing and optimizing high-throughput, distributed message systems (3+ years). Experience with large software projects, including proficiency across the software development lifecycle (version control, documentation, and testing) is required. Preferred Qualifications, Competencies, and Experience Experience with both cloud-based relational databases (PostgreSQL and Apache Kafka or equivalents) and time-series databases optimized for astronomical data storage and retrieval is preferred. Prior experience translating scientific requirements into technical specifications and building researcher-friendly interfaces for complex datasets. Special Physical/Mental Requirements Ability to sustain nighttime validations testing and monitoring (as part of a rota of qualified support personnel). Campus Security Authority Responsibilities Not Applicable. Special Instructions Quick Link *******************************************

The Data Architect Senior manages the development and implementation of organization-wide strategies for data storage, security, regulations and management to meet technical and business goals. Working under minimal supervision, the Data Architect Senior manages the projects and processes that revolve around the design and storage of databases to store and process confidential and sensitive data. Essential Job Function * Reviews data warehouses and data analytics systems to ensure they are functioning properly and are not susceptible to security breaches. * Develops strategies for data acquisition, data access, data archiving, and data recovery in order to create optimal data processes for both the organization and the users. * Examines data models and defines the structure, attributes, and nomenclature of data elements to enhance current systems. * Evaluates new data sources to ensure adherence to the organization's quality standards and policies. * Optimizes overall data and information flow by reducing redundancy and ensuring accessibility to improve efficiency. * Reviews new data sources to stay informed of industry trends and new emerging data storage and maintenance methodologies. * Performs other duties as assigned. Education * Required: Bachelor's Degree Experience * Required: 6 years Licensure/Certification/Listing

The Argus Array will be the largest optical telescope array ever assembled, with a collecting area comparable to the largest monolithic telescopes in the world. The Array will push our observations of the universe into a new regime, scanning the sky 100,000x faster than current nightly-cadence sky surveys. Argus will capture a continuous multi-color, 55-gigapixel movie of the night sky, shared with the entire astronomical community in real-time through public transient alerts, images, and light curves with millions of epochs for hundreds of millions of stars. Joining our local team of astronomers, telescope-instrumentalists, and engineers, the Data Access Engineer will build software systems to get Argus data products into the hands of astronomers around the world. Three years of prototyping efforts have demonstrated the core pipeline architecture and built an archive of representative data; we are now working to build pipelines and platforms for broad accessibility that scale to the full array. This scale up involves integration with cloud services, existing distributed storage networks, and the Array's high-performance GPU accelerated pipelines. In collaboration with a worldwide network of real-time data release and processing centers, the Data Access Engineer will take the alert distribution system to production, bringing streaming notifications and images of new and changing phenomena in the night sky to both professional and amateur astronomers alike. As Data Access Engineer, you will also oversee periodic data releases of our trillion-point light curves, establishing best practices for data versioning, integrity, and accessibility. Other responsibilities will include contributing to collaborative development of intuitive, API -first user interfaces for both internal quality assurance and public data access. Our project management philosophy emphasizes a small and local team; flat management structure; and a highly collaborative working environment. We routinely produce and test prototypes and complex hardware in-house. While you will lead the data access systems, team members frequently collaborate across boundaries and contribute hands-on to various Argus hardware and software subsystems. Required Qualifications, Competencies, And Experience We are searching for an engineer with deep Python expertise (5+ years) and demonstrated success in designing and optimizing high-throughput, distributed message systems (3+ years). Experience with large software projects, including proficiency across the software development lifecycle (version control, documentation, and testing) is required. Preferred Qualifications, Competencies, And Experience Experience with both cloud-based relational databases (PostgreSQL and Apache Kafka or equivalents) and time-series databases optimized for astronomical data storage and retrieval is preferred. Prior experience translating scientific requirements into technical specifications and building researcher-friendly interfaces for complex datasets.

The Data Loss Prevention (DLP) Engineer is a member of the Security Operations Center (SOC) team responsible for implementing and operating Inmar's data loss prevention program. This role focuses on protecting sensitive data from unauthorized disclosure, exfiltration, or misuse through the deployment and tuning of DLP technologies across endpoints, networks, and cloud services. The DLP Engineer designs and implements detection rules, analyzes DLP alerts and events, maintains complex detection patterns (primarily regex-based), and works closely with data owners and business stakeholders to balance data security with operational needs. The incumbent must possess strong technical skills in pattern matching, data classification, and security policy enforcement, combined with the ability to investigate and remediate potential data exposure incidents. The candidate must have a service-oriented mentality with strong communication skills to work with business units on data handling practices, a keen eye for false positive reduction, and the ability to continuously refine detection logic to improve accuracy while minimizing disruption to legitimate business activities. Primary Accountabilities: Technical (70%) ● Design, implement, and maintain DLP policies across endpoint, network, email, and cloud platforms to prevent unauthorized data disclosure. ● Develop and maintain complex detection patterns using regular expressions (regex), keyword matching, file fingerprinting, and metadata-based rules for identifying sensitive data (PII, PHI, PCI, intellectual property, etc.). ● Configure and tune DLP rules to detect sensitive data across structured and unstructured formats including documents, databases, emails, web traffic, and cloud storage. ● Continuously optimize detection accuracy by reducing false positives while maintaining effective coverage of true data exposure risks. ● Monitor, analyze, and investigate DLP alerts and events to determine if they represent genuine data exposure risks or false positives. ● Conduct detailed analysis of flagged events including reviewing content snippets, user behavior patterns, file metadata, and transmission channels. ● Correlate DLP events with other security data sources (SIEM, endpoint detection, user behavior analytics) to identify potential insider threats or data exfiltration attempts. ● Document investigation findings and provide clear recommendations on incident severity, required remediation actions, and policy adjustments. ● Escalate confirmed data exposure incidents to incident response team and support forensic investigations as needed. ● Engage with engineering teams to maintain and optimize DLP infrastructure including agents, network sensors, cloud connectors, and management consoles. ● Develop and maintain automated workflows for alert triage, policy updates, and reporting. ● Create and maintain comprehensive documentation of DLP policies, detection patterns, investigation procedures, and operational runbooks. ● Test new DLP rules and policies in non-production environments before deployment to minimize business disruption. ● Integrate DLP systems with other security tools including SIEM, SOAR, ticketing systems, and data classification platforms. Strategic (20%) ● Contribute to the strategic development and maturation of the organizations DLP program aligned with data protection objectives and regulatory requirements. ● Research and evaluate new DLP technologies, detection techniques, and data classification methodologies to enhance program effectiveness. ● Identify gaps in data visibility and coverage, recommending expansion of DLP controls to new data repositories, communication channels, or cloud services. ● Develop metrics and KPIs to measure DLP program effectiveness including policy coverage, detection accuracy, incident response times, and false positive rates. ● Provide regular reporting on DLP trends, top data exposure risks, user behavior patterns, and policy effectiveness to SOC management and stakeholders. ● Collaborate with legal, compliance, privacy, HR, and business units to understand data handling requirements and ensure DLP policies support business operations. ● Provide guidance to business teams on secure data handling practices and acceptable use of sensitive information. ● Support privacy and compliance teams with DLP controls for regulatory requirements (GDPR, CCPA, HIPAA, PCI-DSS, etc.). ● Participate in data classification initiatives to ensure consistent labeling and handling of sensitive information. Operational (10%) ● Support incident response activities related to data exposure or insider threat investigations. ● Participate in security awareness initiatives by providing real-world examples of data exposure risks and best practices. ● Maintain knowledge of data protection regulations, industry best practices, and emerging data exfiltration techniques. ● Support audit and compliance activities by providing DLP policy documentation, configuration details, and evidence of monitoring. ● Contribute to change management processes for DLP policy updates and system modifications. ● Success in this role is measured by improved detection accuracy, reduced false positives, timely investigation of DLP alerts, and increased visibility into sensitive data movement across the organization. ● Operate within SOC workflows, SLAs, and escalation paths for data exposure incidents. Required Qualifications: ● Bachelor degree in Computer Science, Information Security, Information Technology, or related field. ● 3-5 years of experience in cybersecurity with at least 2 years focused on data loss prevention, data security, or security operations. ● Strong proficiency in regular expressions (regex) for pattern matching and data identification. ● Experience with enterprise DLP solutions. ● Understanding of data classification frameworks and sensitive data types (PII, PHI, PCI, trade secrets, intellectual property). ● Knowledge of data transmission protocols and common data exfiltration channels (email, web uploads, removable media, cloud storage, messaging platforms). ● Strong analytical skills with ability to investigate security events and distinguish true positives from false positives. ● Experience with SIEM platforms and security event correlation. ● Basic Proficiency with scripting or automation (Python, PowerShell, or similar) for data analysis and workflow automation. ● Excellent written and verbal communication skills with ability to explain technical findings to non-technical stakeholders. ● Understanding of data privacy regulations such as GDPR, CCPA, HIPAA, and PCI-DSS. Preferred Qualifications: ● Certifications such as CISSP, Security+, CEH, GCFA, or vendor-specific DLP certifications. ● Experience with cloud DLP solutions for Microsoft 365, Google Workspace, AWS, or Azure environments. ● Knowledge of insider threat detection methodologies and user behavior analytics (UBA/UEBA). ● Experience with data classification tools and automated content inspection technologies. ● Understanding of endpoint security controls and endpoint DLP deployment models. ● Familiarity with SOAR platforms and automated response workflows. ● Experience with forensic analysis of data exposure incidents. ● Knowledge of cryptography and encryption technologies for data protection. Individual Competencies: ● Integrity: Gains the trust of others by taking responsibility for own actions and telling the truth. Follows through on commitments and agreements; Respects confidentiality; Maintains confidentiality regardless of pressure from others. ● Teamwork: Builds relationships and works cooperatively with others, inside and outside the organization, to accomplish objectives to build and maintain mutually beneficial partnerships, leverage information and achieve results. ● Adaptable: Responds to change with a willingness to learn new ways to accomplish work objectives with a positive attitude. ● Innovative: Ability to develop, sponsor, or support the introduction of new and improved methods, products, procedures or technologies. ● Analytical and Critical Thinking: Ability to tackle a problem by using a logical, systematic, sequential approach. ● Communication: Giving and receiving messages and information in written, oral, and visual formats concisely for a complete understanding of meaning and intent. The physical demands described here are representative of those that must be met by an associate to successfully perform the major job responsibilities (essential functions) of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major job responsibilities. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Duties responsibilities and activities may change, or new ones may be assigned at any time with or without notice. While performing the duties of this job, the associate is: ● Regularly required to use hands to finger, handle or feel objects, tools or controls, and reach with hands or arms. ● Regularly required to talk or hear and read instructions on a computer monitor and/or printed on paper. ● Occasionally required to stand, kneel or stoop, and lift and/or move up to 15 pounds. ● Regularly required to view items at an extremely close range and must be able to adjust and readjust focus. ● Occasionally required to remain in a stationary position. As an Inmar Associate, you: ● Put clients first and consistently display a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients in order to meet their short-term and long-term needs, requirements and exceed their expectations. ● Treat clients and teammates with courtesy, consideration and tact; you also can perceive the needs of internal and external clients and communicate effectively with the objective of delighting and retaining the client. ● Build collaborative relationships and work cooperatively with others, inside and outside the organization, to accomplish objectives, develop and maintain mutually beneficial partnerships, leverage information and achieve results. ● Set and attain achievable, yet aggressive, goals with a sense of urgency and accountability. ● Understand that results are important and focus on turning mission into action to achieve results following the principles of agile, dynamic execution while consistently complying with quality, service and productivity standards to meet deadlines and exceed expectations by giving our clients the best possible outcome. ● Support a safe work environment by following safety rules and regulations and reporting all safety hazards. Occasionally: Job requires this activity up to 33% of the time Frequently: Job requires this activity between 33% - 66% of the time Regularly: Job requires this activity more At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages. Eligible associates have access to: * Medical, Dental, and Vision insurance * Basic and Supplemental Life Insurance options * 401(k) retirement plans with company match * Health Spending Accounts (HSA/FSA) We also offer: * Flexible time off and 11 paid holidays * Family-building benefits, including Maternity, Adoption, and Parental Leave * Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning * Wellness and Mental Health counseling services * Concierge and work/life support resources * Adoption Assistance Reimbursement * Perks and discount programs Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms. We are an Equal Opportunity Employer, including disability/vets. Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice. This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Join The #1 Furniture Company-Join The #1 Furniture Brand Ashley Furniture Industries, Inc. is the largest manufacturer of furniture in the world. Established in 1945, Ashley offers one of the industry's broadest product assortments to retail partners in 123 countries. Summary Data Pipeline Development * Design, develop, and maintain robust ETL/ELT pipelines for real-time and batch data processing * Build automated data ingestion workflows from various sources including APIs, databases, flat files, and streaming platforms * Implement data transformation logic to cleanse, validate, and enrich raw data * Optimize pipeline performance for high-volume data processing * Develop monitoring and alerting systems for pipeline health and data quality Infrastructure & Architecture * Design and implement scalable data warehouse and data lake architectures * Build and maintain cloud-based data storage solutions using modern platforms (AWS, Azure, GCP) * Implement data partitioning, indexing, and compression strategies for optimal performance * Design disaster recovery and backup strategies for critical data systems * Evaluate and integrate new technologies to improve data infrastructure capabilities Data Management & Governance * Design, Develop and Maintain Data Models * Implement data quality frameworks and validation rules * Establish data lineage tracking and metadata management systems * Ensure compliance with data privacy regulations (GDPR, CCPA, etc.) * Develop and maintain data documentation and schema definitions * Implement security measures including encryption, access controls, and audit logging Collaboration & Support * Partner with data scientists, analysts, and business stakeholders to understand requirements * Provide technical guidance on data architecture and best practices * Support ad-hoc data requests and troubleshoot data-related issues * Mentor junior team members and participate in code reviews * Collaborate with DevOps teams to implement CI/CD practices for data workflows Performance & Optimization * Monitor system performance and identify bottlenecks in data processing * Optimize database queries and data models for improved efficiency * Implement caching strategies and data compression techniques * Conduct capacity planning for growing data volumes * Troubleshoot and resolve production data issues Apply today and find your home at Ashley! Benefits We Offer * Health, Dental, Vision, Employee Assistance Program * Paid Vacation, Holidays, and Your Birthday off * Generous Employee Discount on home furnishings * Professional Development Opportunities * Ashley Wellness Centers (location specific) and Medical Tourism * Telehealth * 401(k) and Profit Sharing * Life Insurance Our Core Values * Honesty & Integrity * Passion, Drive, Discipline * Continuous Improvement/Operational Excellence * Dirty Fingernail * Growth Focused To learn more about Ashley Furniture, our community engagement programs, environmental stewardship, and our core values, please visit our Corporate Social Responsibility information page: Corporate Social Responsibility We are an equal opportunity employer and provide a drug-free working environment. While Ashley appreciates the interest of all candidates only those meeting specific position requirements may be contacted. Principals Only.