Data Scientist Jobs in Saint Petersburg, FL

Data Scientist What you'll work on:. Work with subject matter experts, team leads, and third party vendors to define new data science prototypes. Build AI solution - NLP, regression, clustering, embedding, recommendation, Retrieval, Anomaly detection, LLM. Design, code, test, and document data science microservices - typically in Python, React, docker Support the mapping of disparate bulk data sources to a unified database. Create graph traversal queries and analytic pipelines to support analyst use cases. Support transitioning custom pipeline from dev to test to production. Incorporate feedback from leadership and user base. Extract meaningful information from unstructured text such as entities, identifiable attributes, and relationships. Types of text include but are not limited to, SAR narratives and web scraped data. Your areas of expertise: • Python • React • R • Tableau/ qlik • Vectordb •Gremlin/cypher/graph ML/ Neo4J or other experience with graph traversals • Network analytics such as centrality, community detection, link prediction, pattern recognition, blockchain analytics • SQL or other relational database query experience • Graph structured data and analytics • NLP Required Skills: Data Visualization: Qlik Tableau Databases Python (Programming Language) SQL (Structured Query Language) Anomaly Detection Data Science Data Visualisation Neo4J Knowledge Graphs Data Visualization: Tableau Natural Language Processing (NLP) Day-to-day Responsibilities: Interface with the team and clients in group and one on one settings to determine program technical development needs and execute on them. Contribute to daily stand up meetings. Expected Deliverables: Working visualizations, prototype analytics, documentation Education: Bachelors Degree

About the OrganizationNow is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works. About the RoleRedhorse Corporation is seeking a highly skilled Data Scientist to join our team supporting the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4). You will play a critical role in accelerating the delivery of AI-enabled capabilities within the Joint Logistics Common Operating Picture (JLOGCOP), directly impacting USCENTCOM's ability to promote international cooperation, respond to crises, deter aggression, and build resilient logistics capabilities for our partners. This is a high-impact role contributing to national security and global stability. You will be working on a custom build of AI/ML capabilities into the JLOGCOP leveraging dozens of data feeds to enhance decision-making and accelerate planning for USCENTCOM missions.Key Responsibilities Communicate with the client regularly regarding enterprise values and project direction. Find the intersection between business value and achievable technical work. Articulate and translate business questions into technical solutions using available DoD data. Explore datasets to find meaningful entities and relationships. Create data ingestion and cleaning pipelines. Develop applications and effective visualizations to communicate insights. Serve as an ambassador for executive DoD leadership to sponsor data literacy growth across the enterprise. Required Experience/Clearance US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current and active Secret security clearance will not be considered for this role. Ability to work independently to recommend solutions to the client and as part of a team to accomplish tasks. Experience with functional programming (Python, R, Scala) and database languages (SQL). Ability to discern which statistical approaches are appropriate for different contexts. Experience communicating key findings with visualizations. 8+ years of professional experience. Master's degree in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). Desired Experience Experience with cloud-based development platforms. Experience with large-scale data processing tools. Experience with data visualization tools. Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). Equal Opportunity Employer/Veterans/Disabled Accommodations:If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at *********************************** Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse's changing needs.This job description is not a contract and may be adjusted as deemed appropriate in Redhorse's sole discretion.

div class="col col-xs-7 description" id="job-description" br/span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"emstrong*** THIS IS A HYBRID ROLE AND REQUIRES TIME IN- OFFICE IN TAMPA, FLORIDA/strong/embr/br/Symple Lending, is an innovative fintech company that is at the forefront of transforming the lending industry by empowering customers on their journey to financial freedom. Our commitment lies in providing seamless and efficient lending solutions to our customers.br/br/span style="color:rgb(32,38,46);"Symple Lending is seeking a LeadGen Data Scientist. As a Scientist, you will help allocate a $1M+ per month marketing budget to optimize the company's Customer Acquisition Cost (CAC). The role uses existing partnerships to select the target marketing audience on a weekly basis using machine learning (ML), feedback loops, and balanced heuristics. The opportunity is to innovate and mature the existing pipeline while building and deploying code packages to support and validate the work. This ultimately leads to a valuable, data-driven decision framework for selecting and interacting with the right customer audience. These decisions must be explainable by the Scientist to company stakeholders and external partners./spanbr/br/strong What You'll be Doing:br/br/1. /strong/span/spanstrongspan style="font-weight:700;color:rgb(32,38,46);font-family:Arial, Helvetica, sans-serif;font-size:14px;"Machine Learning:/span/strongulli style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Apply machine learning algorithms to solve business problems, such as predictive modeling, recommendation systems, or anomaly detection./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Collaborate to enhance data-driven decision-making through machine learning./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Deploy technical solutions within the cloud environment./span/span/span/span/span/span/span/li/uldiv style="list-style-type:disc;"span style="font-size:14px;"strong2. Scripting:/strong/span/divulli style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Develop and maintain scripts in Python to automate data processing and data analysis./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Build within a code package environment./span/span/span/span/span/span/spanp style="line-height:1.2;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:700;"span style="font-style:normal;"span style="text-decoration:none;"3. Analysis and Outcome Review:/span/span/span/span/span/span/span/p/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Analyze data to identify trends, patterns, and anomalies, providing actionable insights to stakeholders./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Generate visual monitoring with decisions and processes./span/span/span/span/span/span/spanp style="line-height:1.2;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:700;"span style="font-style:normal;"span style="text-decoration:none;"4. SQL and Database Querying:/span/span/span/span/span/span/span/p/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Reference and critique data within the company Data Lake/span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Write SQL queries to transform data into useful formats./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Troubleshoot data issues, and maintain data integrity./span/span/span/span/span/span/spanp style="line-height:1.2;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:700;"span style="font-style:normal;"span style="text-decoration:none;"5. Governance and Quality:/span/span/span/span/span/span/span/p/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Ensure data accuracy, consistency, and quality throughout the organization./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;" Operate within data governance practices and enforce data security and compliance protocols./span/span/span/span/span/span/span/li/ulspan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"strong What You'll Bring:/strong/span/spanulli style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Bachelor's degree in Computer Science, Data Science, Statistics, or a related field./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Proven experience as a Data Scientist or similar role./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Experience in cloud infrastructure (e.g., AWS, Azure)./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Strong SQL skills and experience working with relational databases./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Strong analytical and problem-solving skills./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Excellent communication and collaboration skills./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Attention to detail and a commitment to data quality and accuracy./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Proficient in Python scripting for data analysis and automation./span/span/span/span/span/span/span/lili style="list-style-type:disc;"span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"span style="font-variant:normal;white-space:pre-wrap;"span style="color:#20262e;"span style="font-weight:400;"span style="font-style:normal;"span style="text-decoration:none;"Experience in deploying production-grade machine learning solutions through tools such as AWS Sagemaker./span/span/span/span/span/span/span/li/ulbr/br/span style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"bWhy Work for Symple Lending:/b/span/spanullispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Dental Insurance/span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Competitive Salary /span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Modern office setting/span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Work-from-home days/span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Growth opportunities/span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Health insurance/span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Vision insurance/span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Paid time off/span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"A collaborative and innovative work environment./span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Opportunities for professional growth and development./span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Cutting-edge projects and exposure to the latest technologies./span/span/lilispan style="font-size:14px;"span style="font-family:Arial, Helvetica, sans-serif;"Professional development assistance/span/span/li/ulbr/Symple Lending is an equal opportunity employer and encourages candidates of all backgrounds to apply.br/Symple Lending is unable to provide visa sponsorship for this position /div

We Are Accenture is at the forefront of innovation, helping companies harness the power Generative AI, Large Language Models (LLMs), and agentic applications to transform their businesses. Our flagship platform, AI RefineryTM, empowers enterprises to optimize operations, drive innovation, and unlock new opportunities. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence (************************************************************************************************************************************* brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an experienced and dynamic data scientist, you will develop innovative approaches to extract meaning and value from large and complex datasets by leveraging state-of-the-art LLMs and GenAI techniques. Collaborating across the data science lifecycle, you will design and implement both qualitative and quantitative methods to prepare, enrich, and optimize data for advanced analytical and agentic workflows. Your role will involve scripting and programming to aggregate, embed, and index data from diverse sources, transforming it into actionable intelligence aligned with customer requirements. Additionally, you will evaluate, document, and communicate your research processes, methodologies, and results with peers, stakeholders, and leadership to drive transparency, reproducibility, and innovation. The Work + As a data scientist for our AI RefineryTM platform at Accenture, you will: + Data Preparation & Management: + Work with structured, semi-structured and unstructured data across domains such as customer operations, finance, life science and telecommunications. + Build scalable data pipelines and perform advanced preprocessing to prepare datasets for fine-tuning large language models (LLMs) and prompt-based generative AI tasks. + Design semantic layers, taxonomies, and domain-specific ontologies to enable contextual reasoning and knowledge representation for LLM-driven applications. + LLM & Agent Collaboration: + Prepare and structure training/evaluation data for prompt engineering, RAG, and fine-tuning. + Align datasets with downstream use cases such as customer journey analysis, marketing trends, and intelligent task scheduling. + Work closely with cross-functional teams, including, research engineers, developers to pass processed data into vector databases or knowledge graphs. + Cloud & Data Lake Integration: + Access, extract, and preprocess data from cloud data lakes and warehouses (GCP Azure AWS). + Ensure secure, scalable, and governed access to enterprise data sources used by LLM-based agents. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's What You Need + Minimum of 3 years of experience in data science or ML-focused data engineering roles & Proficiency in SQL and Python with deep experience in scalable data processing using PySpark, Kafka. + Minimum of 3 years of experience working with complex and messy enterprise datasets (logs, reports, transcripts, complaints). + Minimum of 3 year of exposure to LLMs or generative AI workflows-either prompt design or retrieval-based querying. + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years' work experience) Bonus points if you have: + Advanced degrees or relevant certifications are advantageous. Professional Skills Requirements: + Advanced degree in Data Science, Computer Science, Mathematics, or a related field. + Hands-on experience with generative AI, fine-tuning large language models. + Proficiency in prompt engineering and designing RAG pipelines. + Familiarity with embedding generation and vector indexing and sematic retrieval using tools like LlamaIndex, FAISS, Pinecone, Weaviate. + Familiarity with graph databases or knowledge graph construction. + Experience designing semantic layers or data products for AI systems. + Background in deploying analytics for operational use cases like SLA monitoring, installation delays, or field work optimization. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $73,800 to $220,400 Colorado $73,800 to $190,400 District of Columbia $78,500 to $202,700 Illinois $68,300 to $190,400 Minnesota $73,800 to $190,400 Maryland $73,800 to $190,400 New York/New Jersey $68,300 to $220,400 Washington $78,500 to $202,700 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (*********************************************************************** Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (********************************************************************************************************************************************** . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at ****************, send us an email (************************************************* or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret/SCI Clearance Level Must Be Able To Obtain: Top Secret SCI + Polygraph Suitability: Public Trust/Other Required: None Job Family: Data Science Skills: Job Qualifications: Analytical Thinking, Information Technology (IT) Systems, IT Architecture Certifications: Experience: 10 + years of related experience US Citizenship Required: Yes Job Description: Data Scientist, IT Architecture Specialist - Plans Our work depends on a Senior-level Data Scientist (IT Architecture Specialist - Plans), to serve in support of defense analytical and administrative requirements for a Combatant Command (CCMD), Joint Intelligence Operations Center (JIOC). HOW A SENIOR - LEVEL DATA SCIENTIST, IT ARCHITECTURE SPECIALIST WILL MAKE AN IMPACT Develop Department of Defense Architecture Framework (DoDAF) derived operational (OV-1 through OV-4) and system (SV-1 through SV-4) architecture views for assigned intelligence IT system projects. Develop and create technical intelligence operational and system architecture drawings, sketches, documents, slides, diagrams, and supporting documents. Conduct extensive research on IT systems, applications, and hardware solutions to identify existing or new capabilities that can be engineered to build independent or combined end-to-end solutions. Analyze, recommend, and conduct mitigation/resolution of IT issues for the CCMD J2. Develop and prepare IT project documents, including Microsoft Project Plans, Integrated/Master Project Plan, Charter, CONOPS, status reports, etc. Document, report, and follow-up attendance at meetings, video/voice teleconferences, conferences, and events related to USCENTCOM J2 intelligence IT systems, architecture, and projects. Engage and coordinate with CCMD Directorates, Divisions, Component Commands, Combat Support Agencies, and other IC-related organizations to coordinate IT system related intelligence requirements and associated system deployments. Engineer, develop, and create solutions and define associated hardware/software requirements for any USCENTCOM J2 IT system related issues. Document as required via Engineering Design Diagrams/Documents (EDD), System Configuration documentation, System Operations and Maintenance Documents (SOMD), and Certification and Accreditation (C&A) documentation. Special projects and travel may be required. WHAT YOU'LL NEED TO SUCCEED: Security Clearance Level: TS / SCI, with favorable polygraph. US Citizenship Required Desired Education and Experience: Master's degree with 12 yrs related experience or Bachelor's degree with a total of 17 yrs experience as a substitute to the Master's degree. At least a portion of your experience must be in the last 2 yrs. Required: In-depth knowledge of DoDAF, IT architecture principles, and intelligence systems. Preferred: Combatant Command Experience, USCENTCOM experience. GDIT IS YOUR PLACE Location: On Customer Site 401K with company match Comprehensive health and wellness packages Internal mobility team dedicated to helping you own your career Professional growth opportunities including paid education and certifications Cutting-edge technology you can learn from Rest and recharge with paid vacation and holiday The likely salary range for this position is $114,750 - $155,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Onsite Work Location: USA FL MacDill AFB Additional Work Locations: Total Rewards At GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation's most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real. GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

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, or Tampa, FL. Relocation assistance is not available for this position. 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.). Translates business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA's tooling, growing the company's library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. What you'll do: * Captures, 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 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. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. * Contributes to the development of 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 business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. * Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. * Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. * Ensures risks associated with business activities are optimally identified, measured, monitored, 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 discipline; 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. * 4 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. * 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. * 2 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. * Experience writing code that is easy to follow, well detailed, and commented where necessary to explain logic (high code transparency). * Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. * 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. * Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. * Ability to assess regulatory implications and expectations of distinct modeling efforts. * 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, forest models, etc. * Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. * Experience presenting analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: * Deep learning-based computer vision and NLP with Tensorflow or PyTorch. * Experience with data definition and manipulation in SQL (e.g., Hive, Snowflake, etc.). * Experience with time-series and geospatial feature engineering. * Experience modeling with GLMs, decision trees, gradient boosted trees, and the Tweedie distribution. * Experience building, scripting, and evaluating models in a Python environment. * Experience collaborating with a team coding project using Git. * Knowledge of the insurance industry and common metrics (coverages, exposures, pure premium, etc.). 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. What we offer: Compensation: The salary range for this position is: $114,080 - $205,340. 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.

We are seeking a talented and experienced Sr. Data Scientist to join our team. As a Data Scientist, you will play a crucial role in designing, developing, and implementing data science solutions to empower investigators and enhance our capabilities in extracting meaningful information and identifying anomalous patterns of activity. Responsibilities: Collaborate with subject matter experts, team leads, and third-party vendors to define new features and functions for automation, aiding investigators in extracting meaningful information about a target and their surrounding network. Design, code, test, and document data science microservices primarily in Python. Support the integration of disparate bulk data sources into a unified database. Develop and optimize graph traversal queries and analytic pipelines to support analyst use cases, ensuring smooth transition from development to test and production environments. Extract valuable information from unstructured text, including SAR narratives and web scraped data related to cryptocurrency addresses and actors. Generate synthetic data for testing and development environments, as well as for the MM capstone training, adapting to evolving MM training and data holdings. Requirements Proficient in Python programming. Experience with graph traversal languages such as Gremlin, Cypher, or GraphML, along with expertise in network analytics, including centrality, community detection, link prediction, pattern recognition, and blockchain analytics (Preferred). Strong SQL or other relational database query experience. In-depth knowledge of graph-structured data and analytics. Familiarity with Natural Language Processing (NLP) techniques. Background in financial and banking data analytics, including insights from data and unstructured data-information extraction. Expertise in blockchain architecture and cryptocurrency data analytics. Knowledge of GPS technology and its integration into analytical processes. Experience with cloud platforms, specifically Amazon Web Services (AWS). Understanding of machine learning algorithms and their application in cybersecurity analytics. Qualifications: Bachelor's or advanced degree in Computer Science, Data Science, or a related field. 5 plus years' experience in a similar role Strong communication and collaboration skills. Ability to work in a dynamic and fast-paced environment. An active Top Secret clearance is required. #IND123

div class="listing_description show_listing_description"span style="font-size:14px;"emb OPPORTUNITIES TO IGNITE YOUR PASSION/b/em, CRC services include Intelligence Analysis, Business Management, Cyber Operations, and Information Technology Consulting Services to the Department of Defense (DoD), Intelligence Community (IC) and other Federal Agencies. We offer a wide range of career opportunities and exceptional benefits.br/ br/ bi This opportunity is contingent upon Task Order(s) contract award in the 1st quarter of 2025. Anticipated award date subject to change based on US Government schedule./i/bbr/ br/ strong JOB SUMMARY/strong: CRC is in need of a Data Scientist to provide IT Architecture support to designing objective systems architecture and integrating intelligence applications/communications to enable effective solutions for USCENTCOM and theater components in support of USCENTCOM coalition integration.br/ br/ strong REQUIRED SKILLS: /strong/span ul lispan style="font-size:14px;"8+ years of experience as a Data Scientist/span/li lispan style="font-size:14px;"Bachelors Degree or higher/span/li lispan style="font-size:14px;"Active TS/SCI with CI Polygraph/span/li /ul span style="font-size:14px;" bPOSITION DESCRIPTION:/b/span ul lispan style="font-size:14px;"Support gathering, vetting, documenting, assigning, and tracking of information sharing requirements with traditional/nontraditional mission partners and ensuring the appropriate information is available to the DoDIIS enterprise./span/li lispan style="font-size:14px;"Provide systems and process evaluation, design, development and/or implementation as required to support information sharing or automation requirements./span/li lispan style="font-size:14px;"Collect coalition information sharing or automation requirements within the USCENTCOM AOR, participate in the development of coalition information sharing strategies, and monitor the development and/or implementation of tools supporting information sharing./span/li lispan style="font-size:14px;"Effectively communicate with seniors; develop/present briefings and materials to coalition stakeholders ranging from information sharing requirements to technical descriptions of applicable tools./span/li lispan style="font-size:14px;" Assist in the migration planning for systems being deactivated and track/participate in system design efforts for new information sharing systems coming on board./span/li lispan style="font-size:14px;"Provide support in designing objective systems architecture and integrating intelligence applications/communications to enable effective solutions for USCENTCOM J2 and theater components./span/li lispan style="font-size:14px;"Develop DoDAF derived operational (OV-1 through OV-4) and system (SV-1 through SV-4) architecture views for each assigned intelligence IT system/architecture project./span/li /ul span style="font-size:14px;" strong Why work at CRC/strong/span pspan style="font-size:14px;"CRC is a small business supporting customers across the Intelligence Community and DoD both as a Prime and subcontractor. We provide opportunities to work challenging assignments which have impact to National Security and support you as a member of the team; you're not just a number, we know your name, your career goals, and support you in your growth. We are proud awardees of the Gold Award 2023 for hiring and supporting veterans (U.S. Department of Labor) and are officially certified as a Virginia Values Veterans (V3) Company. /span/p pspan style="font-size:14px;"While CRC is small there is still an opportunity for team members to grow within our structure. We foster an entrepreneurial spirit and provide opportunities for rewarding, challenging work to meet your goals. Tuition Assistance is available to support your educational and certification growth needs./span/p pspan style="font-size:14px;"Being a small company, our Program Management Office is agile and efficient, which has been validated by multiple industry awards over the past two years. ONCON ICON Top 50 Chief Operations Officer 2022 and 2023, Top 50 Operations Team 2023, Top 100 Talent Acquisition Team 2023.br/ br/ Clear Resolution Consulting (CRC), our employees are the heart and spirit of our company. We rely on their dedication to excellence and their knowledge of our client's requirements to help them meet their most complex challenges Our employees' blend of technical skills, innovation and dedication drives our continued success, and we take our responsibility to them seriously./span/p pspan style="font-size:14px;"At CRC you'll find a fulfilling career and a great place to work - one that challenges you, fuels your need for creativity and innovation, and inspires teamwork and mutual respect. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, any other non-merit factor, or any other characteristic protected by law./span/p /div

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. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services - Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. 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 * Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology * Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks * Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts * Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business * Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance * Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics * Identifies business trends based on economic and portfolio conditions and communicates findings to senior management * Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights * Link Analysis/Graph analytics to find and mitigate densely connected fraud networks * Developing and tuning graph algorithms to maximize detection of fraud * Assist with the generation, prioritization, and investigation of fraud rings Required Qualifications * Minimum of 4 years of experience in data and analytics * Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages * Must be proficient with SQL and one of SAS, Python, or Java * Critical problem-solving skills 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 leading a broader team * Excellent communication and influencing skills * Thrives in fast-paced and highly dynamic environment * Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions * Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) * Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications * Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) * 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas * Deep understanding of graph databases, graph algorithms, and experience developing graph schemas * Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques * Proficient with H2O or similar advanced analytical tools * Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects * Experience influencing mid to senior (executive) level leaders * Experience managing risk and issue remediation * Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile 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

Celestar Corporation is seeking a Senior-level Data Scientist (IT Architecture Specialist- Plans Support) supporting the United States Central Command (USCENTCOM) Directorate of Intelligence (J2) located at MacDill AFB in Tampa, Florida and at a variety of other locations throughout CONUS/OCONUS and the USCENTCOM Area of Responsibility (AOR). If interested and qualified, we welcome you to apply for this challenging opportunity. ANTICIPATED AWARD MONTH: TBD ANTICIPATED START MONTH: TBD PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years LOCATION: CENTCOM HQ on MacDill AFB (Tampa, FL) CLEARANCE REQUIREMENT: Active TS/SCI with Poly Security Clearance About Us: Celestar, a Veteran Owned Company is Very Competitive with Salaries and Benefits. As an example, we offer Company Paid Benefits that include Employee and Family Dental Insurance, Employee Health Insurance, Life Insurance and Disability Insurance as well. We also offer a 401K retirement company match, paid Holidays and Personal Time off. Responsibilities: * The contractor shall provide IT Architecture support to designing objective systems architecture and integrating intelligence applications and communications to enable effective solutions for USCENTCOM and theater components in support of USCENTCOM Planning Efforts. * Develop Department of Defense Architecture Framework (DoDAF) derived operational (OV-1 through OV-4) and system (SV-1 through SV-4) architecture views for each assigned intelligence IT system project. * Develop and create technical intelligence operational (OV-1 through OV-4) and system (SV-1 through SV-4) architecture drawings, sketches, and documents; as well as, easily discernible, professional, quality-level slides, diagrams, and supporting documents from highly technical systems architecture drawings, sketches, and documents/concepts. * Conduct extensive research on IT systems, applications, and hardware solutions leading to identification of existing or new capabilities that can be engineered to build independent or combined end-to-end solutions for functional user requirements. * Analyze, recommend, and conduct mitigation and/or resolution of IT issues for USCENTCOM J2 specialty IT areas. * Develop and prepare IT project documents (Microsoft Project Plans, Integrated/Master Project Plan, Charter, CONOPS, status reports, etc.) with established requirements, priorities and deadlines for all J2 IT project requirements. * Document, report, and follow-up attendance at meetings, video/voice teleconferences, conferences, and events inside and outside of the command for USCENTCOM J2 related intelligence IT systems, architecture, and projects. * Engage and coordinate with USCENTCOM Directorates, USCENTCOM Divisions, Component Commands, Combat Support Agencies, and other IC-related organizations to fully coordinate IT system related intelligence requirements and associated system deployments for USCENTCOM J2. * Engineer, develop, and create solutions and define associated hardware/software requirements for any USCENTCOM J2 IT system related issues. Document as required via Engineering Design Diagrams/Documents (EDD), System Configuration documentation, System Operations and Maintenance Documents (SOMD), and Certification and Accreditation (C&A) documentation. * Be able to draft a Systems and Architecture Appendix in support of all USCENTCOM plans/orders. Required Experience: Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years. Desired Education: Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor's degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master's degree. Come onboard with a company that Values its Employees! Celestar is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, protected veteran status, disability status, gender identity or national origin.

Job Description: This position is part of team providing the USCENTCOM J2 with consolidated intelligence analysis and support activities involving all-source intelligence analysis, reporting, intelligence operations and international intelligence, engagements, exercises, ISR synchronization and intelligence planning, along with IT support facilities management, training and Special Security Office support. These activities at the J2 support USCENTCOM components, deployed forces, other DoD agencies, and Combatant Commands around the world. Key Responsibilities: Design, develop, and maintain software solutions and databases that support data analytics and business intelligence initiatives. Build and implement data models and algorithms to extract actionable insights from large and complex datasets. Develop and maintain efficient data pipelines to ensure the processing, storage, and accessibility of data for analysis. Work closely with stakeholders to understand business requirements and translate them into data-driven software solutions. Leverage modern software tools and frameworks to develop scalable, maintainable, and high-performance data applications. Conduct data analysis to identify trends, patterns, and relationships that provide actionable business insights. Use programming languages and data science techniques (e.g., Python, R, SQL) to develop models, scripts, and tools for data processing and analysis. Collaborate with team members and cross-functional groups to integrate data solutions and improve overall business intelligence capabilities. Stay updated on emerging data science technologies and best practices, and continuously improve analytical and software development skills. Required Qualifications: Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or related disciplines. Experience: At least ten (10) years of experience developing software and databases using modern software tools and frameworks. Clearance: Active Top Secret clearance required. Preferred Qualifications: Proficiency in programming languages such as Python, R, and SQL for data analysis and software development. Experience with database management and data warehousing techniques (e.g., SQL Server, MySQL, NoSQL, etc.). Strong background in software engineering practices and familiarity with modern development frameworks. Knowledge of data visualization tools (e.g., Tableau, Power BI) and experience in presenting data insights to stakeholders. Strong problem-solving skills, attention to detail, and the ability to work with large datasets. Ability to work independently and as part of a collaborative team. Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non-technical audiences. JMark is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local laws. All qualified applicants will receive consideration for employment without regard to these factors.

Why it's worth it Join ReliaQuest, a global leader in enterprise cybersecurity technology, where you'll be at the forefront of developing cutting-edge AI and ML solutions for our GreyMatter platform. You'll work with state-of-the-art technologies including: * Large Language Models (LLMs) and Generative AI * Autonomous AI Agents for security operations * Knowledge Graphs for enhanced threat detection * Cloud-native architecture and advanced ML systems We're not just following AI trends - we're setting them. Our GreyMatter platform combines traditional ML with next-generation AI capabilities to revolutionize security operations. The everyday hustle As a Data Scientist at ReliaQuest, you'll be: * Developing and implementing advanced machine learning models, with a special focus on LLMs and GenAI * Working on autonomous AI agents that enhance our security operations capabilities * Integrate AI agents with traditional ML systems * Creating and maintaining knowledge graphs for improved threat detection and response * Collaborating with cross-functional teams to integrate AI/ML solutions into our GreyMatter platform * Analyzing complex security data to identify patterns and anomalies * Participating in the full ML lifecycle from research to production deployment Do you have what it takes? Mid Level * 3-5 years of experience in applied data science * Strong experience with machine learning model development and deployment * Hands-on experience with deep learning frameworks and LLMs * Experience with cloud computing platforms (AWS/Azure/GCP) * Track record of successfully deployed ML models in production * Understanding of AI/ML security considerations Senior Level * 6+ years of experience in data science with focus on production ML systems * Extensive experience training and deploying LLMs and GenAI solutions * Proven track record of leading complex AI/ML projects * Experience integrating AI agents with traditional ML systems * Expertise in knowledge graph technologies and applications * Strong background in production ML architecture and MLOps * Experience mentoring junior data scientists What makes you uncommon? Mid Level * Experience with LLM fine-tuning and prompt engineering * Knowledge of graph databases and knowledge graph construction * Experience with ML model monitoring and maintenance * Understanding of AI agents and their applications * Background in cybersecurity or security analytics Senior Level * Deep expertise in LLM architectures and training methodologies * Experience building and deploying autonomous AI agents * Advanced knowledge graph development and implementation experience * Expertise in combining traditional ML with GenAI solutions * Track record of innovative AI/ML solutions in production * Experience with large-scale ML systems architecture * Research publications or patents in ML/AI

Headquartered in the Central Florida city of Lakeland, Summit employs over 700 office and field associates at its main location and regional offices in Baton Rouge, Louisiana, and Gainesville, Georgia. As the people who know workers' comp, we strive to provide an atmosphere of constant growth and development for our employees. Summit provides workers' compensation programs and services to thousands of employers throughout the Southeast. Summit is a member of Great American Insurance Group, a company that focuses on building relationships and linking people to various career paths. Whether it's underwriting, claims, accounting, IT, legal, or customer service, Great American Insurance Group combines a small-company entrepreneurial atmosphere with big- company expertise. Essential Job Functions and Responsibilities Prior work comp experience is required. Prior experience with medical billing data (ICD-10, MS-ORG, CPT/HCPCS) is preferred. Intermediate development skills in Python/R Advanced knowledge of SQL language Ability or experience to develop machine learning and/or deep learning approaches to solve clinical and business problems Ability and experience to perform independent/unsupervised exploratory data analysis and statistical analysis Demonstrates specialized expertise in an area such as pricing, reserving or predictive modeling. Advises management on actuarial or mathematical techniques and provides input on company policy regarding actuarial standards and appropriate courses of action. May represent the company on industry and professional committees. May handle departmental responsibilities and ownership of actuarial models/methods. Leads the work of others (mentors, prioritizes, delegates and reviews assignments). May have responsibility for performance and coaching of staff and may have a participatory role in decisions regarding talent selection, development, and performance management for direct reports. This position will work out of the Lakeland, FL office 3 days and 2 days remote. Full remote will be considered for the ideal candidate. It's one thing to know workers' comp. It's another to know people. But knowing both? That creates an altogether different experience. So, if you're ready for an altogether different workplace experience, get to know the people who know workers' comp. Apply today. Job Profile Education: Bachelor's degree or equivalent.Field of Study: Actuarial Science, Mathematics, Statistics or a related discipline.Experience: Generally, a minimum of 3 years of experience up to a credentialed actuary. Company: SCI Summit Consulting, LLC Benefits: Compensation varies by role, position level, and location. Individual pay is influenced by skills, education, training, certifications, experience, and the role's scope and complexity, along with business needs. We offer a competitive Total Rewards package, including medical, dental, and vision plans starting on day one, PTO, paid holidays, commuter benefits, an employee stock purchase plan, education reimbursement, paid parental leave/adoption assistance, and a 401(k) plan with company match. These benefits are available to eligible full-time and part-time employees. Your recruiter can provide more details about our total rewards and specific compensation ranges during the hiring process.

Applied Underwriters is a global risk services company that continues to expand our offerings in property and casualty insurance. We are looking for intelligent and knowledgeable candidates that will utilize their rich experience of commercial lines actuarial reserving techniques to provide guidance and insights to business unit leaders and senior staff. The Reserving Actuary Director will be responsible for managing and conducting property/casualty reserve-related projects. This includes the review and analysis of select P&C reserving segments which this role will be responsible. This role can be based either in Omaha or the Tampa Bay area. In office is expected 4 days a week. Requirements Bachelor's degree in Mathematics, Actuarial Science, Statistics, Finance or other related fields from an accredited college or university. Associate of the Casualty Actuarial Society with Exam 7. 10+ years property/casualty insurance experience, with 5 years specifically in reserving. Company Benefits • Fully-paid employee Medical Insurance, Dental Insurance, and Vision Insurance • Fully-vested employer match 401(k) • Section 125 - Flexible Spending Account • In-house pharmacy provides employees significant savings and convenience • Tuition Reimbursement

Actuary | Sarasota Office | Salary: $115,000 - $125,000 We're looking for an experienced Actuary to join our client's Sarasota team and play a key role in supporting all our product lines across current and future states. In this role, you'll conduct critical actuarial studies, including rate reviews and reserve analysis, prepare rate filings, and collaborate closely with regulatory departments, accounting, external actuaries, consultants, and auditors. What You'll Bring: 8+ years of actuarial experience, preferably with homeowners and commercial lines. Bachelor's degree in actuarial science, mathematics, risk management, or a related field. Advanced proficiency in Microsoft Access, Excel, Word, and PowerPoint. Excellent communication (written and oral) and advanced presentation skills. Strong analytical, problem-solving, and research abilities. The ability to work independently and manage multiple competing priorities. Demonstrated project management skills, including leading teams. A strong work ethic and a collaborative "team player" mindset. Desired Skills & Certifications: Strong data and programming experience in an insurance environment. Proficient knowledge of SQL, MySQL, Oracle, or similar database languages. Proficient knowledge of R, Python, VBA, or similar programming languages. Associate of the Casualty Actuarial Society (ACAS) is highly desired. Commitment to attaining Fellowship in the Casualty Actuarial Society (FCAS) is a plus.

The Business Analytics Lead Analyst is a member of the Fusion Analytics Team under FFC. This role will be tasked with creating analytical solutions across all LOB's utilizing statistical and advanced analytical techniques and drive strategic insights and decision making. An ideal candidate will have strong expertise in machine learning, predictive modeling and financial data analysis. Experience in digital fraud detection and cybersecurity will be a strong advantage. You will need to collaborate with cross-functional teams to develop and implement data driven solutions. Key responsibilities include: * Role requires creating analytical solutions to mitigate losses across all LOB's utilizing various statistical/advanced data science techniques. * Analysis of compromised cards data from dark web to identify emerging fraud trends, detect suspicious fraud patterns, and anomalies, identify high risk merchants, locations and transaction behaviors. * Leverage AI/ML models (eg anomaly detection, graph neural networks, NLP) to anticipate fraudulent behavior. * Experience with AI techniques and implement AI powered automation to improve fraud detection efficiency. * Develop and enhance data models and algorithms to identify high risk accounts for proactive monitoring and closure. Additionally, assess the impact of compromised cards on fraud losses, use statistical analysis to quantify risk exposure and identify abnormal spending patterns. * Collaborate with threat intelligence teams to incorporate external fraud signals into risk models. Identify fraud rings, mule accounts, synthetic identities by linking compromised data to existing customer portfolios. * Generate executive level insights and reports for leadership team using advanced visualization techniques and provide regular updates on fraud trends and emerging threats. Provide actionable insights to senior global stakeholders by leveraging data analytics and reporting. * Lead POC's with new vendors, evaluating fraud detection tolls, data enrichment platforms and dark web monitoring solutions. * Perform ad-hoc analysis on large, unstructured datasets (eg transaction logs, dark web feeds) to identify fraud indicators. Use Python, SQL and SAS to extract, transform and analyze complex datasets. * Manage significant fraud events by helping coordinate information sharing across financial crime and fraud prevention Org. Partner with various cross-functional teams such as Fraud Policy, Analytics & Modelling, Security Operations Center to help design intelligence derived solutions to detect fraud. * Collaborate with fraud analytics modelling function to understand new fraud detection capabilities, develop new analytical solutions leveraging unstructured data sets and variables. Job skills/ Qualifications * Bachelor's degree in engineering, Statistics, Economics, Finance, Mathematics or a related quantitative field from a premier institute required. (Master's degree not required but beneficial) * Minimum 5+ relevant experience in data analysis, data mining, or statistical analysis. * Must have a working knowledge of Python, SQL, Teradata, RDBMS, Hadoop/Hive Tools. * Experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Preferred), SQL, SAS (required) * Experience with AI/ML Frameworks (eg TensorFlow, PyTorch , Scikit-learn) * Knowledge of Large language models (LLM's) for text analysis and Fraud Intelligence * Experience in Predictive modeling, statistical analysis and machine learning techniques. * Ability to analyze large -scale, unstructured data and generate actionable insights * Familiarity with digital fraud detection tools and experience working with cybersecurity datasets and threat intelligence platforms. * Prior experience in developing dynamic dashboards using visualization tools such as Tableau. * Data Science work in any risk domain will be preferable. * Experience in identifying fraud patterns in large consumer banking portfolios. * Successful candidate will have a demonstrable analytic, problem solving, and leadership skills, and has the ability to deliver projects in a fast-paced environment. * Excellent quantitative and analytic skills and data-driven mindset; ability to derive patterns, trends and insights, and perform risk/reward trade-off; * Ability to effectively collaborate with cross-functional partners and management * Solutions-oriented "can do" attitude, with ability to drive innovation via thought leadership while maintaining end-to-end view. * Extremely detail-oriented, with strong, intellectual curiosity. Ability to effectively multi-task and work in a fast-paced and evolving environment, while setting meeting high standards. * ----------------------------------------------------- Job Family Group: Decision Management * ----------------------------------------------------- Job Family: Business Analysis * ----------------------------------------------------- Time Type: Full time * ----------------------------------------------------- Primary Location: San Antonio Texas United States * ----------------------------------------------------- Primary Location Full Time Salary Range: $113,840.00 - $170,760.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. * ----------------------------------------------------- Anticipated Posting Close Date: Apr 21, 2025 * ----------------------------------------------------- Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View the "EEO is the Law" poster. View the EEO is the Law Supplement. View the EEO Policy Statement. View the Pay Transparency Posting

General Description: This individual will support all our current and future states in all product lines of insurance by accessing data, performing rate reviews, reserve analysis and other actuarial studies; preparing rate filings and responding to inquiries from regulatory departments; and working with accounting, external actuaries, consultants and auditors. Essential Duties and Responsibilities: Oversee and manage projects related to Pricing. Lead the ratemaking process and develop pricing indications so as to attain an underwriting profit. Perform various Pricing projects, including but not limited to quarterly rate adequacy reviews, internal rate indications, and analysis of internal and external data Support and develop Pricing tools, and advance Pricing methodology in terms of data capture and analysis. Manage competing internal interests with respect to rate filings and oversee the process. Lead the review of new product strategies, design, pricing, and implementation of rate changes. Price alternative structures as needed. Interact as needed with relevant regulatory authorities on filings. Testify as required in support of rate filings. Lead the review of new product strategies, design, pricing, and implementation of rate changes. Drive process improvements and provide insight to leadership from an actuarial perspective. Oversee the Reserving process and projects related to Reserving, including but not limited to quarterly reserve reviews and monthly IBNR roll forwards. Lead the development of new Reserving tools, advance reserving methodology in terms of data capture and analysis and lead the design and implementation of new processes. Work with accounting, external actuaries, and auditors to provide accurate data, provide reconciliations and assist with calculations, resolve discrepancies and assist in any way necessary to assist in the completion of accurate financial statements with the Statement of Actuarial Opinion. Manage competing internal interests and workload with respect to data requirements, ratemaking, rate filings and product development. Provide data in support of actuarial, product and underwriting, and reserving initiatives. Perform data manipulation, analysis, and automation, including but not limited to data cleansing and automated reporting. May manage teams of actuarial analysts. Ensure that data is correct, consistent, and robust. Perform proper data validation and reconciliation exercises. Practice appropriate spreadsheet and data stewardship: Organize and document data, data sources, and calculations in such a way that it can be easily reviewed by a peer or external party. Keep managers and team informed of activities and situations which will impact the achievement of corporate and department goals and objectives. Present results and conclusions of analysis to other departments and senior management. Keep up to date on the insurance environment, regulatory changes, social influences, and new actuarial and data methods. Be proactive in revising approaches and methods to continually improve all our work products. Provide leadership on special projects related to ratemaking, reserving and financial analysis projects. Perform other duties as required. Supplemental Information: This job description has been prepared to indicate the general nature and level of the work that the employees perform within their classification. This description is not and cannot be interpreted as an inventory of all the duties, tasks, responsibilities and qualifications required for the employees assigned to this job. Education and Experience: A Bachelor’s degree in actuarial science, mathematics, risk management or a related field. Minimum of 8 years of actuarial experience, with homeowners and commercial lines experience preferred Advanced proficiency in Microsoft Access, Excel, Work and Power Point. Excellent communication skills, both written and oral. Strong data and programming experience in an insurance environment is desired. Proficient knowledge of SQL, MySQL, Oracle, or similar database languages is desired. Proficient knowledge of R, Python, VBA, or similar programming languages is desired. Advanced presentation skills. Advanced analytical, problem-solving, and research skills. Work extremely well independently. Must possess strong work ethic and be a “team player”. Project management skills. Lead project teams both with and without formal reporting authority. Ability to work with multiple competing priorities. Licenses and / or Certifications: Associate of the Casualty Actuarial Society (ACAS) highly desired. Commitment to attain Fellowship in the Casualty Actuarial Society (FCAS) desired but not required.

Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: * Must be a US Citizen. * Must be able to obtain a Public Trust Clearance. * 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. * Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Strong understanding of the CI/CD pipelines and ability to apply them. * Experience with relational database, such as, PostgreSQL. * Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Candidates will be given special consideration for extensive experience with Python. * Ability to develop visualizations utilizing Tableau or PowerBI. * Experience in developing Shell scripts on Linux. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: * Health, Dental, and Vision * Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: ******************* $144,768 - $209,109.33 a year

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: Assist in building and maintaining data ingestion pipelines into Splunk for security-relevant logs. Learn to configure and troubleshoot data sources, log forwarding mechanisms, and Splunk forwarders. Develop and implement data parsing and normalization rules within Splunk. Collaborate with security analysts to understand data requirements and log collection processes. Assist in creating and maintaining Splunk dashboards, alerts, and reports. Monitor the health and performance of the Splunk environment. Troubleshoot basic Splunk data flow issues and field extraction challenges. Work with cross-functional teams to onboard new log sources. Contribute to documentation related to Splunk configurations and log sources. Stay updated on the latest Splunk features, security trends, and best practices. Assist in security incident response activities by providing requested log data. Contribute to improving security operations processes and procedures. Here's what you need: 1 year of experience in IT and/or Cyber Bachelor's Degree required (In lieu of a degree, an additional 4 years of experience may be substituted) Splunk experience Data analysis and/or engineering experience Active Top Secret required with ability to obtain SCI For candidates relocating to Huntsville a relocation bonus may be available Bonus points if you have: Experience with using one or more of the following tools: Microsoft Sentinel, Cribl, Endgame, Carbon Black, Tanium, FireEye, RSA Archer, Palo Alto, Checkpoint, McAfee, Encase, Security Onion, Snort,Phantom, ELK Certifications: Splunk Certifications Certified Ethical Hacker (CEH) SANS GIAC Certifications (GCTI, GCIH, GCIA etc.) DFIR related Certifications As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Washington, Vermont, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York, Washington, Vermont, and the District of Columbia is: $93,400 - $176,200 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.