Senior data scientist jobs in Fayetteville, NC - 566 jobs

Prescient Edge is seeking a Data Scientist to support a federal government client. Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes: * A competitive salary with performance bonus opportunities. * Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A substantial retirement plan with no vesting schedule. * Career development opportunities, including on-the-job training, tuition reimbursement, and networking. * A positive work environment where employees are respected, supported, and engaged. Security Clearance: * Current DOD TS/SCI security clearance. Job Requirements Experience: * Certification or 2+ years of experience with a diverse set of analytical tools and suites to include Tableau and Alteryx and familiarity with Python, R, MATLAB or other coding platforms. * 5+ years of experience in one or more of the following: Business Analysis, Army Special Operations, Intelligence and/or Information Management/Knowledge Management. * 5+ years of Experience supporting the United States Military, preferably SOF elements Education: * BA/BS from an accredited institution, or former Officer, NCO or Warrant Officer with Military Experience or Intelligence/Knowledge Management background. Location: * Fort Bragg, NC. Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.

A pioneering life sciences research organization is looking for a Data Scientist or Senior Data Scientist specializing in statistical genetics and computational biology. The mission centers on leveraging advanced computational approaches and in vivo model systems to deepen insights into the biological and genetic mechanisms controlling human aging. The work enables innovative interventions that support longer, healthier lives. The environment offers a strong emphasis on fundamental discovery science, integration of academic and industry partnerships, and a dynamic therapeutic R&D pipeline. Key Responsibilities: Apply and advance statistical and computational methods for interpreting biobank\-scale and large cohort datasets, encompassing high\-dimensional phenotypes and longitudinal health data. Design and lead investigations to understand the genetic architecture of age\-related diseases and trait trajectories across populations. Merge multiple biological datasets (e.g., clinical, genetic, multi\-omics) to build new hypotheses for novel treatments targeting aging\-associated conditions. Develop reusable software tools and workflows streamlining analysis and data processing in diverse cohort research projects. Communicate results and collaborate closely with interdisciplinary teams spanning multiple scientific domains-internally and with external research partners. Requirements Ph.D. or equivalent advanced training in genetics, statistical genetics, computational biology, bioinformatics, or a related discipline. Demonstrated expertise in creating and deploying computational or statistical methodologies for large, complex biological\/phenotypic datasets. Proficiency with modern genetic analysis tools-including GWAS, burden tests, fine\-mapping, LD score regression, QTL mapping (eQTL\/pQTL), colocalization, polygenic risk scoring, Mendelian randomization-and specific techniques for studies involving diverse ancestry groups. Hands\-on experience analyzing large\-scale clinical and molecular data, such as genomics, imaging, multi\-omics, and longitudinal datasets. Knowledge of or experience with substantial human cohort research (e.g., UK Biobank, FinnGen, All of Us, or similar repositories). Advanced coding skills in Python and\/or R, with a portfolio of developed tools, libraries, or pipelines accessible to other scientists. Excellent communication and teamwork abilities, with a strong history of collaborating across varied scientific specialties. Onsite work required a minimum of 4 days per week. "}}],"is Mobile":false,"iframe":"true","job Type":"Full time","apply Name":"Apply Now","zsoid":"688258619","FontFamily":"Verdana, Geneva, sans\-serif","job OtherDetails":[{"field Label":"Industry","uitype":2,"value":"Science & Technology"},{"field Label":"City","uitype":1,"value":"Raleigh"},{"field Label":"State\/Province","uitype":1,"value":"North Carolina"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"27709"}],"header Name":"Senior Data Scientist, Statistical Genetics","widget Id":"**********00072311","is JobBoard":"false","user Id":"**********00248003","attach Arr":[],"custom Template":"3","is CandidateLoginEnabled":false,"job Id":"**********15404062","FontSize":"12","google IndexUrl":"https:\/\/callieregroup.zohorecruit.com\/recruit\/ViewJob.na?digest=u6RCQRHkFYC6J5ac54igRZ41KjdHuFUrHtGNB3loNr8\-&embedsource=Google","location":"Raleigh","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do","logo Id":"1gvk5a9fa9ad9912143c8885985d92ce2ae5f"}

Senior Data Scientist, Data Management - Office Based in Blue Bell, PA or Raleigh, NC ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development Symphony Health, part of the ICON plc family, is a team of curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients -- life science manufacturers, payers, and providers -- have today, as well as those they'll have tomorrow. Together, we can help patients get the right drugs at the right times. We are currently seeking a Senior Data Scientist, Data Management to join our diverse and dynamic team. As a Senior Data Scientist at ICON Plc, you will play a crucial role in leveraging advanced analytical techniques and machine learning models to derive actionable insights from complex data sets. You will contribute to the success of our data-driven initiatives by developing sophisticated models, performing in-depth analyses, and guiding strategic decision-making across the organization. What You Will Be Doing: Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights. Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making. Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively. Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes. Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement. Your Profile: Domain expertise in one or more targeted areas of the Revenue Cycle Management processes Proficient in deterministic and probabilistic linkage concepts/methodologies to support patient journeys derived from anonymized RCM data Advanced degree in a relevant field such as data science, statistics, computer science, or mathematics. Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses. Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R. Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively. Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization. Located in or around Blue Bell, PA or Raleigh, NC #LI-MH1 #LI-HYBRID What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here. Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Vantaca just achieved unicorn status with a $1.25B valuation, so it's safe to say we're past the "scrappy startup phase." We're not just building a successful company - we're building the category-defining platform that will transform how an entire industry operates. Here's the reality of our trajectory: * Growing 100% year-over-year * Our AI product (HOAi) went from $0 to millions in months * Backed by Cove Hill Partners and JMI Private Equity * 6M+ doors on our platform, displacing legacy systems We are a winning team that believes in working together to make big ideas happen. We are a collaborative and visionary group that holds ourselves accountable for our results. Our ability to be nurturing and agile allows us to adapt to change and support each other through any challenges that come our way. We are customer-centric, meaning that we put our customers' needs and preferences at the heart of our work. We are authentic game changers that are building something cool and people like it here. Overview Vantaca is looking for a Senior Data Scientist that wants to work in a high impact, fast paced team that is ready to make a big impact. This individual will be responsible for helping build data products, uncover valuable business insights, and communicate key discoveries. Your work will drive better decision-making for products and customers. You will develop strong partnerships with stakeholders and work cross-functionally with product managements, engineering, finance, and business stakeholders to ensure alignment and success. Responsibilities * Lead advanced analytics initiatives to identify market opportunities, customer behaviors, and product optimization strategies. * Establish predictive modeling and machine learning capabilities that enhance product features and service delivery. * Help foster a culture of analytical rigor and continuous learning. Aid in the development of junior roles. * Develop real-time analytics and reporting capabilities that support operational decision-making across the organization. * Implement customer segmentation and personalization strategies that directly impact revenue and user engagement. * Create high impact learnings that drive the business forward * Ability to understand business needs and deliver on detailed analysis with insights and forward looking recommendations. Qualifications * Master's degree or PHD preferable with concentration in Computer Science, Data Science, Statistics, Applied Mathematics, or related analytical field. * 2+ years of data science work with demonstrated impact on product development and business outcomes * Proven track record of using data science to define, enhance, or create analysis in technology-driven organizations. * Proficiency in statistical analysis. * Proficiency in data visualization tools such as PowerBI. * Strong experience with data science tools and platforms including Python, R, and SQL. * Experience with cloud tools such as Azure (preferred), AWS, or GCP. * Demonstrated ability to translate complex analytical findings into actionable business recommendations and product strategies. * Strong background regression analysis, geospatial analysis, data visualization, and statistical inference methodologies. * Excellent communication and presentation skills with the ability to influence product and business strategy at executive levels. Core Values * Always Growing: Likes change and enjoys finding new ways to improve their knowledge and the product. Always ready to learn quickly, helping themselves and the team grow. * Win as a Team: Builds trust and works together by making sure everyone communicates well. Actively involved in daily work, working closely with the team, listening to their ideas, and celebrating successes together. * Accountability Starts with Me: Notices problems and takes personal action to solve them. * Unwavering Commitment to Customer Experience: Regularly talks to customers, taking personal responsibility to understand what they need, address concerns, and make their experience better with improved Vantaca processes. * Innovate Boldly: We challenge the status quo and push boundaries to create meaningful change. We act with urgency and purpose, knowing that innovation drives our success. Why You Should Join Our Team * Our eNPS is +68! (Google it, that is great). * Benefits: Medical, Dental, and Vision kick in day one. * Unlimited PTO (with a requirement for employees to take a minimum of one continuous week per year). * 401K with Company Match. * Remote Flexible - come to the office when needed. * Great parental leave benefits. * Named on Inc 5000 list of America's Fastest Growing Private Companies. * Named on Inc 5000 Vet 100 Private Companies list multiple years in a row. * Winner of Coastal Entrepreneur Award, Technology Category. * Active employee-led Culture Committee. * Ongoing industry and professional development trainings available to all employees. * Multiple leaders on the executive committee recognized as 40 under 40 recipients for contributions to business and community. * We're playing offense to win! Our product market fit and our world-class employees make us the leader in our space. We're building something cool and people like it here. We receive many resumes for our open positions and each one is reviewed by a human being on our recruiting team. We will compare your background with the qualifications and requirements for the position. If you are selected for an interview you will receive an e-mail from someone on our recruiting team with *************** email address. It may take some time for us to review all of the applications so give us some time to respond. We appreciate your interest in this role.

Senior Data Scientist Use your Data Science skills in the fight against chronic diseases. Our client operates a pioneering disease management platform, focusing on delivering value-based care tailored to individuals with chronic conditions. By seamlessly integrating human expertise with cutting-edge software and analytics, the platform actively engages patients soon after diagnosis, ensuring they receive the most appropriate care swiftly. It offers continuous support by employing targeted, evidence-based interventions, significantly enhancing patient outcomes and making a meaningful difference in their health journey. As a Data Scientist, you will become an integral part of our Data team, tasked with developing and enhancing our analytical capabilities to support our mission in the chronic disease space. Your role will involve modeling data and crafting visualizations to communicate with stakeholders, providing insights that inform decisions and actions. Ideal candidates will have experience handling healthcare data, including claims, prior authorizations, and electronic health records. In this role, you will work closely with our Product, Engineering, Clinical, and Operations teams to pinpoint opportunities for improving outcomes and monitoring the effectiveness of our interventions for our members and clients. Your contributions will be crucial in establishing strong relationships with healthcare providers by developing data products that support practice transformation initiatives. After three months, you will have: - Developed a comprehensive understanding of our data platform, contributing to the enhancement of our data models and pipelines. - Established connections with practices and providers in the chronic disease sector, showcasing our expertise in creating data and analytics products. - Worked alongside stakeholders to grasp their business needs and translate these into technical specifications. This includes creating data models, pipelines, and analytics dashboards using tools like Looker or RStudio. For instance, you might employ dbt to construct models that assess medical claims data for identifying the utilization of value care across practices or to evaluate the distribution of medical care among our members and its influence on out-of-pocket expenses. After 6 months, you will: - Assume responsibility for and lead the development of data models that assess the impact of our interventions with practices, sharing findings both internally and externally. - Become a pivotal figure in enhancing our data infrastructure and devising a roadmap for a scalable and modular data architecture to accommodate our team's expansion. - Take charge of developing utilization and quality metrics, becoming the primary contact for stakeholder queries. You will also use our data resources to explore business opportunities and strategic initiatives.

Sr. Data Scientist needs 2 or more years experience with developing Robotic Process Automation and/or automation efforts Sr. Data Scientist requires: 3+ years with relational databases (ex. Oracle, SQL Server, etc.) 3+ years working with languages Python and SQL 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc) 2 or more years experience presenting and delivering results to business partners and leadership 2 or more years experience in Cyber Security domain knowledge. 1 or more years experience with Splunk or similar technology Preferred 2 or more years experience with developing Robotic Process Automation and/or automation efforts 2 or more years using AWS cloud services 2 or more years skilled at data visualization (Tableau, PowerBI, etc.) 2 or more years with modern data engineering with APIs M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 2 or more years applying agile SDLC Sr. Data Scientist duties: Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques Ability to identify needs and opportunities for advancements in innovations, processes and automation Able to work proactively and take initiative without being specifically directed Ability to extract & aggregate data from disparate data sources

Job DescriptionDescription: High Side Technology ?has an immediate need for a senior-level software engineer or data scientist to support the research and engineering initiatives of Geospatial Intelligence (GEOINT) analysis programs for Department of Defense (DoD) and Intelligence Community (IC) clients. The engineer/scientist will provide technical guidance and software systems engineering support in assessing new technologies for computer vision and structured observation data processing/management systems. This position will also plan and support the transition of new technologies to operational GEOINT analysis systems. This position will work as part of an integrated government/contractor team in supporting new technology research and engineering initiatives. Requirements: Responsibilities: Provide engineering/scientific expertise to GEOINT analysis programs; assisting with the development and management of data analytics, algorithms and modeling, tradecraft governance and proliferation, and rules and alerting capabilities to augment analytic workflows addressing DoD/IC mission priorities. Define, plan, coordinate, and guide various technical initiatives (e.g. performance analysis, feasibility studies, constraint evaluation, cost/benefit analysis) for execution of system-level functional requirements definition and resolution of interface issues. Provide research and engineering support to inform and guide the development and transition of new GEOINT analysis technologies. Assess, evaluate, and inform new computer vision (CV) technologies including specialized algorithms and machine learning (ML) models. Assess, evaluate, and inform new technologies for Structured Observation Management (SOM) and Activity-Based Intelligence (ABI) capabilities. Ensure the establishment of complete and accurate system-level functional/performance requirements that are traceable from strategic capabilities to validated customer and operations needs/requirements, and consistent with the program's architecture objectives and acquisition strategy. Define the milestones and control gate success criteria and evaluate entry/exit readiness during design reviews and audits to ensure protection of baselines and to assist in risk identification and resolution. Provide technical coordination, architecture guidance, and support for analysis capabilities development/implementation, technical road-mapping, and budget development. Plan and support data management practices to efficiently process and manage data for GEOINT analysis and production. Desired Experience: Master's degree or higher in Engineering, Computer Science, Data Science, Information Technology, Management Information Systems, or related STEM degree. Expert-level experience in government or industry in data management or Big Data analysis. Experience integrating solutions using Cloud-based technologies Demonstrated senior level experience leading technology development and technical integration efforts Demonstrated senior level experience leading multi-system integration efforts through requirements definition, development, testing and transition. Additional Desired Experience: Experience with processes, tools, and languages pertaining to Model-Based Systems Engineering (MBSE) Experience engineering solutions using structured and unstructured Big Data, AI, and Cloud-based technologies Demonstrated senior level experience integrating Geospatial Intelligence systems Demonstrated senior level experience in systems engineering and integration of large complex system of systems of service-centric/Cloud environments The Engineer/Scientist will work on government site and as part of a distributed multi-disciplinary team. This position requires interaction with government customers at all levels of authority and technical acuity and requires the ability to communicate technical and programmatic information through excellent verbal and written communication skills. Requirements: United States citizenship required Top Secret/SCI security clearance or current Top Secret SSBI with TS/SCI eligibility required; counterintelligence (CI) polygraph required Bachelor's degree in a relevant technical field 8+ years of experience

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position. The Senior Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Collaborate with the broader analytics community to share standard methodologies and techniques What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 4 years of experience with model development or other advanced fraud detection algorithms Over 3 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: * Award-winning culture * Inclusion and diversity as a priority * Performance Based Incentive Plans * Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability * Generous PTO (including paid time to volunteer!) * Up to 9.5% 401(k) employer contribution * Mental health support * Career advancement opportunities * Student loan repayment options * Tuition reimbursement * Flexible work environments * All the benefits listed above are subject to the terms of their individual Plans. And that's just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! General Summary: This position for a developing data scientist who is excited to transform data into actionable insights and impact the business through his/her work. The role requires increasing technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on developing business knowledge. The individual will participate in project work primarily within the functional area, with direction and review by manager. The individual is expected to continuously increase business knowledge and take initiative in identifying and executing analytical approaches to support assigned projects. Job Specifications * Bachelor's degree in quantitative field is preferred * 2 years preferred of professional experience or equivalent relevant work experience * Core Data Science Capabilities: Deep expertise in at least one of the following skillsets preferred, with basic capability in the others: * Programming & Process automation: Experience using APIs, file I/O, database, and analysis libraries. Understanding of programming in jupyter notebooks and/ or statistical packages. Understanding of process mapping and demonstrated application of scripting languages to automate processes. Exposure to data mining and web scraping. * Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic data visualization * Statistics & Statistical modeling: Solid understanding of statistical inference and regression. Basic understanding of machine learning techniques including random forests and neural nets. Basic understanding of feature selection and extraction which may include analysis of categorical data, multiple comparisons, Central Limit Theorem, bootstrapping, and permutation tests * Data Extraction, Transformation, and Loading (ETL) skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Given a business problem, independently explore databases/tables to identify best data sources. Demonstrates ability to troubleshoot complex SQL queries written by others with little guidance. * Core business capabilities: basic communication skills, exposure to financial services industry, and attention to detail and ability to prioritize while working on multiple projects keeping track of due dates * Leadership Capabilities: Ability to coach or mentor team members, respond quickly and positively to change, adheres to technical best practices by collaborating with team members to deliver high quality output * Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Basic understanding of their organization. Principal Duties and Responsibilities * Design and execute analytical solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable insights and partnership to deliver business value. * Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses * Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework. * Construct predictive models using machine learning to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering. * Familiarity with AI agents like github co-pilot, MS co-pilot to speed through code development and self - learning. * Knowledge of working with LLMs and agent libraries like Langgraph. Langchain & OpenAI SDK. * Efficiently interpret results and communicate findings and potential value to manager. * Support integration of solutions within existing business processes using automation techniques. * Understand theory and application of current and emerging statistical methods and tools. * Knowledge of tools - Python, VS code, Databricks, Azure, AWS, Streamlit, tableau, SQL * Perform other related duties as assigned #LI-TO1 #LI-MULTI IN4 Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide. Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status. The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience. $60,500.00-$123,400.00 Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans. Company: Unum

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Must Have Technical/Functional Skills Technical Skills * Machine Learning (ML) techniques and algorithms * Hypothesis Testing and Statistical Analysis * Regression Analysis and Predictive Modeling * Natural Language Processing (NLP) * Programming in Python and/or R * SQL for data manipulation and querying * Experience with PyTorch and TensorFlow Functional Skills * Strong foundation in Mathematics and Statistics * Familiarity with Machine Learning product system design * Understanding of Large Language Models (LLMs) * Proficiency in model documentation and model governance Roles & Responsibilities * Work with business SMEs to understand data requirements and translate them into predictive models and analytical tools. * Apply NLP and applied mathematics techniques to develop text classification tools for automating manual document review processes. * Present insights using data visualization techniques and communicate findings effectively. * Assess the accuracy and effectiveness of new data sources and data gathering techniques. * Develop processes and tools to monitor and analyze model performance. Salary Range- $95,000-$130,000 a year

Job DescriptionDPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects.Responsibilities Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 7+ years of experience in data science roles within AEC, product or technology organizations. At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). Solid understanding of statistical methods, predictive modeling, and optimization techniques. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Proven experience designing and interpreting experiments and making statistically sound recommendations. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Ability to build relationships with diverse stakeholders and cultivate strong partnerships. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. Hands-on experience with Generative AI tools and libraries. Background in experimentation infrastructure or human-AI interaction systems. Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Temp Data Scientist - Boston, MA or NC, NH, RI, TX, MA, or CO (18 month contract- probable extension or permanent conversion) Notes: Master's Degree Required Python development to build time series models Run SQL queries Linux OS administration Any web development experience preferred. Experience working with Artificial Intelligence, Machine learning algorithms, neural networks, decision trees, modeling, Cloud Machine Learning, time series analysis and robotics process automation. Description: We are seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate's key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of customers. Absolutely critical is the associate's ability to carry an initiative from idea through to execution. 5+ years' experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred Natural programmer, and confirmed industry experience with statistics and data modeling Experience with one or more of the following tools/frameworks - python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc Education- At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc. Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation We are looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.

The Data Technician Lead will be responsible for the physical installation of cabling, overseeing the work of others, surveying work sites to determining best installation practices, coordinator workflow within the unit, and providing on the job training to other technicians as needed. Essential Functions• Responsible for leading technical teams of varying sizes on small- and large-scale projects • Communication with PM on manpower and material needs • Communication with clients/customers• Serve as a liaison between office and field, communicating all information that is not classified as confidential • Develop project plan including required materials deliver schedules completion schedules manpower requirements and tool/equipment lists • Manage the process of tracking tools and materials to prevent loss • Adhere to safety protocols and complete appropriate documentation • Maintain housekeeping for a safe jobsite • Communication with other trades on jobsite• Ability to monitor project schedule and milestones and provide progress updates as needed• Ability to read and understand all applicable drawings sets including: o Architectural o AV o Electrical (as they relate to telecom) o Reflected Ceiling o Telecommunications o Overall site plans Minimum Qualifications• Proven ability to communicate effectively with both internal and external stakeholders. • Proficient in construction related software (Plan Grid, Bluebeam, etc. ) • BICSI Certified • Knowledge in CAT6A and fiber installations• Knowing and willingness to push back on other trades in an effective and professional level. • Ability to resolve conflict both internal and external. • Ability to create a team atmosphere. • Complete understanding of blueprints and related architectural symbols. • High level of understanding of firestopping principles as it pertains to telecom pathways. • Familiarity with MS office suite and other software suites applicable to the role including but not limited to: o MS Excel o MS Outlook o MS Word o Bluebeam Knowledge, Skills and Abilities • All T1/T2/T3 requirements. • OSHA 30, preferred but not required for hire. Minimal OSHA 10. • Aerial lift certification. • Fall protection certification/training.

Charlotte, North Carolina;Plano, Texas; Richmond, Virginia; Boston, Massachusetts; Chandler, Arizona; Tampa, Florida; Chicago, Illinois; Jacksonville, Florida; Newark, Delaware; Phoenix, Arizona **To proceed with your application, you must be at least 18 years of age.** Acknowledge Refer a friend **To proceed with your application, you must be at least 18 years of age.** Acknowledge (************************************************************************************************************************* **Job Description:** At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! **Job Summary:** This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection is looking for an experienced model developer / data scientist to join our team and help us combat financial crime. The role is responsible for providing **model governance** support across the entire model life cycle. **Responsibilities:** + Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights + Applies agile practices for project management, solution development, deployment, and maintenance + Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production + Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment + Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables + Supports the identification of potential issues and development of controls + Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics + Developing advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB, neural networks, graph + Working closely with developers to understand how the model works and provide effective challenge to not only push back on methodology but also ensure results are accurate + Partnering with technology and model users to schedule deployments and planning for future model installations + Working with independent model risk management, legal and compliance teams to ensure models are fully validated and approved for usage + Producing analytics to ensure early model results look consistent with expectations + Conducting regular model monitoring and sharing performance results and analytical insights with model stakeholders and users + Supporting Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated + Tracking model changes after deployment and ensure appropriate documentation reflects any adjustments, patches or updates + Driving model performance analytics above and beyond Model Risk Management policy requirements, including granular performance monitoring, early trend detection, root cause analysis, and gap analysis. + Serve as a subject matter expert across model's live cycle + Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation. **Required Qualifications:** + 4+ years of experience in model development or validation is required + Must be proficient Python, SQL (SAS is a plus) + Excellent technical writing skills + Critical problem-solving abilities including selection of data and deployment of solutions + Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also working as part of a broader team + Excellent communication and influencing skills + Thrives in fast-paced and highly dynamic environment + Able to provide guidance to junior data scientists. + Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solution **Desired Qualifications:** + Bachelor's Degree in related field or equivalent work experience + Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) + 7+ years of experience working as model developer, data scientist, model validator, preferable on fraud, credit, market, or other heavily quantitative areas. + Advanced understanding of machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques + Experience with compliance of SR-11-7 + Experience influencing mid to senior (executive) level leaders + Experience managing risk and issue remediation **Skills:** + Agile Practices + Application Development + DevOps Practices + Technical Documentation + Written Communications + Artificial Intelligence/Machine Learning + Business Analytics + Data Visualization + Presentation Skills + Risk Management + Adaptability + Collaboration + Consulting + Networking + Policies, Procedures, and Guidelines Management **Shift:** 1st shift (United States of America) **Hours Per Week:** 40 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your **"Know your Rights (************************************************************************************** "** poster. **View the LA County Fair Chance Ordinance (************************************************************************************************** .** Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work. This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

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 This position will primarily be responsible for supporting the data requirements of our E-Commerce and payments functions. The data scientist will work in a cross-functional team environment under the direction of the Platform Data Science Lead with support and direction from the E-Commerce Product Director. In addition to other responsibilities, this position will own and optimize processes and programming logic needed to capture data, transform into high usability data models, maintain, and validate the quality of both internally and externally sourced data that is critical in our financial and accounting processes. In this role, you will Work across Accounting, E-Commerce, Finance, and Analytics teams sharing KPI-driven reporting and insights Partner with ECOM product and programming to design, run, and report experiments to optimize front end and back end payment processing operations Develop and maintain standards for dashboards and reporting initiatives. This includes making sure data is visualized appropriately, creating consistent standards, and confirming that all data is accurate Partner with stakeholders and programmers to implement best in class data practices Provide insights and research into our payment ecosystem from a technical, financial, and user experience perspective Document requirements, develop, and deliver both written reports with analysis and charts on a dashboard Take accountability for the quality of data reported by our products, and work with programming and QA to consistently monitor and improve our data in order to produce a world class data ecosystem Perform statistical data analysis and next level analyses to showcase the impacts of various decisions around the product What we're looking for Minimum 5 years of professional experience as a data science professional in a payments or e-commerce environment Expert-level skills in Tableau, including dashboard design, performance optimization, and data storytelling Strong data modeling capabilities, with the ability to design scalable, efficient, and business-relevant data models Solid foundation in statistics and quantitative analysis, with the ability to design experiments, evaluate models, and interpret complex real world data Proficiency in Python for data analysis, managing DAGs and ETL, and data manipulation in PySpark Deep understanding of payment flows, e-commerce systems, and the payments landscape, including processors, gateways, and transaction lifecycles Ability to bring structure and clarity to ambiguous stakeholder environments through thoughtful frameworks and strong communication Very strong communication skills, capable of translating technical insights for executives, collaborating with developers, and aligning cross-functional teams Proficiency in query, analysis, and reporting tools such as SQL (any dialect), PySpark, Python, Tableau, Astronomer, GitHub, and Databricks User-focused and solutions-driven mindset, with a bias toward action, adaptability, and innovation in fast-paced environments This role is open to multiple locations in North America (including CA, NYC, & WA). Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren't limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic's generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). New York City Base Pay Range$181,477-$266,166 USDCalifornia Base Pay Range$159,700-$234,226 USDWashington Base Pay Range$145,181-$212,933 USD 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.

Who we are.Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products - we want to hear from you. We lead with technical expertise, but that is just the tip of the iceberg - the ‘Why' matters. At Platinum, we don't hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients. You.Platinum Technologies is seeking a highly skilled and versatile Data Engineer to join our team and play a critical role in designing, building, and optimizing our data infrastructure. This position combines elements of data analysis, engineering, and architecture to ensure the availability, reliability, and accessibility of data for analytics and decision-making. The ideal candidate will have a strong technical background, problem-solving skills, and a passion for working with data, while also collaborating with cross-functional teams to deliver innovative data solutions. This role is on-site full time in Fayetteville, NC and requires an Active DoD Top Secret clearance with SCI Eligibility. What you get to do.Data Infrastructure Design and Development:•Build and maintain scalable, reliable, and efficient data pipelines to collect, process, and store data from various sources.•Design and implement ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting.•Develop and maintain data models, schemas, and standards to support analytics and operational needs. Data Analysis and Insights:•Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions.•Analyze large datasets to identify trends, patterns, and actionable insights.•Present findings and recommendations to stakeholders using dashboards, reports, and visualizations. Performance Optimization and Monitoring:•Optimize database and data pipeline performance, ensuring scalability and reliability for large datasets.•Monitor and troubleshoot data pipeline issues, minimizing downtime and ensuring system reliability.•Implement data quality checks and validation processes to ensure data integrity. Security and Compliance:•Implement security measures to safeguard data and systems against unauthorized access and breaches.•Ensure compliance with data governance policies, security standards, and regulatory requirements (e.g., GDPR, HIPAA).•Establish best practices for data management, security, and governance to protect sensitive information. Emerging Technologies and Process Improvement:•Stay updated on industry trends and emerging technologies to enhance analytical and architectural capabilities.•Identify opportunities to improve data collection, processing, and analysis workflows.•Evaluate and recommend data management tools, technologies, and platforms to meet organizational goals Required Skills.•Active DoD Top Secret clearance with SCI Eligibility.•Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience) OR CSSLP, CISSP-ISSAP•Strong programming skills in languages such as Python, Java, or Scala.•Proficiency in data analysis tools and programming languages (e.g., SQL, R).•Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow).•Familiarity with cloud-based data solutions (e.g., AWS Redshift, Google BigQuery, Azure Data Factory).•Proven experience in data modeling, database design, and data architecture frameworks.•Strong analytical and problem-solving skills, with attention to detail.•Excellent communication and collaboration skills to work effectively in cross-functional teams. Preferred Skills:•Master's degree in a related field or professional certifications (e.g., AWS Certified Data Analytics, DAMA Certified Data Management Professional).•Familiarity with big data tools and platforms (e.g., Hadoop, Spark, Kafka).•Knowledge of real-time data streaming tools (e.g., Apache Kafka, Flink).•Experience with containerization technologies (e.g., Docker, Kubernetes).•Understanding of machine learning pipelines and data science workflows.•Knowledge of enterprise architecture frameworks (e.g., TOGAF). Key Competencies:•Analytical Thinking: Ability to break down complex problems and identify solutions.•Communication: Strong written and verbal communication skills to effectively convey data insights and technical solutions.•Collaboration: Ability to work effectively with cross-functional teams, including analysts, data scientists, and business stakeholders.•Adaptability: Willingness to learn and adapt to new tools, technologies, and methodologies.•Attention to Detail: Commitment to accuracy and thoroughness in data analysis and engineering processes.•Security Awareness: Understanding of data security principles and ability to implement measures to protect sensitive information. The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** At Cisco IT, you will join a collaborative group of builders, innovators, and change agents. Our team brings together expertise in: CRM architecture, Data governance, Sales and partner compensation and AI and automation We believe the best ideas come from diverse voices and bold thinking. You'll have the support and resources to learn, grow, and make a meaningful impact. **Your Impact** As a Data Engineer at Cisco, you will: + Build and support integrated data solutions that power business analytics and machine learning + Ensure data is high-quality, accessible, and easy to use + Enable smarter decisions, optimize marketing investments, and enhance customer experiences + Make complex data understandable and actionable + Collaborate across teams to deliver meaningful solutions for a global community **Minimum Qualifications** + Enrolled in or recently graduated from a technical degree or certification program (e.g., Technical Boot Camp, Apprenticeship, Community College, or 4-Year University) + AI literacy and a cloud-first mindset + Familiarity with agile methodologies and data-driven approaches + Experience or familiarity with databases (e.g., MySQL, PostgreSQL, MongoDB) and big data frameworks (e.g., Hadoop, Spark) + Able to legally live and work in the United States without visa support or sponsorship **Preferred Qualifications** + Experience with RESTful API design and development for data integration + Experience with business intelligence tools such as Tableau + Understanding of security best practices in data encryption, secure data transfer, and access controls + Knowledge of full-stack development for comprehensive data solutions **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $123,600.00 - $200,100.00 Non-Metro New York state & Washington state: $109,900.00 - $181,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Amentum is seeking a **Data Engineer** to support the 389th MI BN Process Exploit and Disseminate (PED) Information collected from identified sensors in **Ft. Bragg, NC** . The Data Engineer will provide support to ensure the integration and visualization of large data sources to support PED operations and all-source analysis. **Essential Responsibilities:** + Provide database engineer support to develop and translate computer algorithms into prototype code and maintain, organize, and identify trends in large data + Support complex IT architecture projects with full competency in data gathering, artifact development, presentation, and completion of enterprise architect (EA) models. The contractor shall apply hardware engineering and software design theories and principles to researching, developing, and reviewing EA products. The contractor shall recommend innovative technologies to enhance the presentation and usage of EA products. The contractor shall provide integrated systems planning. The contractor shall coordinate project team activities and assist with monitoring project schedules and costs. + Formulate and lead guided, multifaceted analytic studies against large volumes of data to interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method to support PED operations. + Use technology to mine complex, voluminous, and different types of data from various sources and platforms to collect, analyze, and compile data to meet customer needs. **Minimum Education/Experience:** + 5+ years of experience in one or more of the following: Business Analysis, Army Special Operations, Intelligence and/or Information Management/Know ledge Management + 5+ years of experience supporting the United States Military preferably SOF elements. + BA/BS from an accredited institution, or former Officer, NCO or Warrant Officer with Military Experience or Intelligence/Knowledge Management background **Required Specialized Qualifications:** + 5+ years of experience with Single Page Application Development and client-side coding, including Jscript, React, Angular, Aurelia, Vue, Ajax, JSON, or REST, such as OData, HTML, or CSS. + 5+ years of experience with two or more of the following: C#, Python, PHP, or Java Knowledge of database architecture and data transformations. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran's status, ancestry, sexual orientation, gender identity, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal EEO laws and supplemental language at EEO including Disability/Protected Veterans (******************************************* and Labor Laws Posters (********************************************************* .