Data scientist jobs in Saint Petersburg, FL

Mercor is hiring a Data Engineer on behalf of a leading AI lab. In this role, you'll **design resilient ETL/ELT pipelines and data contracts** to ensure datasets are analytics- and ML-ready. You'll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale. * * * ### **You're a great fit if you:** - Have a background in **computer science, data engineering, or information systems**. - Are proficient in **Python, pandas, and SQL**. - Have hands-on experience with **databases** like PostgreSQL or SQLite. - Understand distributed data processing with **Spark or DuckDB**. - Are experienced in orchestrating workflows with **Airflow** or similar tools. - Work comfortably with common formats like **JSON, CSV, and Parquet**. - Care about **schema design, data contracts, and version control** with Git. - Are passionate about building pipelines that enable **reliable analytics and ML workflows**. * * * ### **Primary Goal of This Role** To design, validate, and maintain scalable ETL/ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems. * * * ### **What You'll Do** - Build and maintain **ETL/ELT pipelines** with a focus on scalability and resilience. - Validate and enrich datasets to ensure they're **analytics- and ML-ready**. - Manage **schemas, versioning, and data contracts** to maintain consistency. - Work with **PostgreSQL/SQLite, Spark/Duck DB, and Airflow** to manage workflows. - Optimize pipelines for performance and reliability using **Python and pandas**. - Collaborate with researchers and engineers to ensure data pipelines align with product and research needs. * * * ### **Why This Role Is Exciting** - You'll create the **data backbone** that powers cutting-edge AI research and applications. - You'll work with modern **data infrastructure and orchestration tools**. - You'll ensure **reproducibility and reliability** in high-stakes data workflows. - You'll operate at the **intersection of data engineering, AI, and scalable systems**. * * * ### **Pay & Work Structure** - You'll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20-30 hrs/week) with flexible hours-work from anywhere, on your schedule. - Weekly Bonus of **$500-$1000 USD** per 5 tasks. - Remote and flexible working style.

Job Title: Data Engineer - AI/ML Pipelines Work Model: Hybrid Duration: CTH The Data Engineer - AI/ML Pipelines plays a key role in designing, building, and maintaining scalable data infrastructure that powers analytics and machine learning initiatives. This position focuses on developing production-grade data pipelines that support end-to-end ML workflows-from data ingestion and transformation to feature engineering, model deployment, and monitoring. The ideal candidate has hands-on experience working with operational systems such as Warehouse Management Systems (WMS) or ERP platforms, and is comfortable partnering closely with data scientists, ML engineers, and operational stakeholders to deliver high-quality, ML-ready datasets. Key Responsibilities ML-Focused Data Engineering Build, optimize, and maintain data pipelines specifically designed for machine learning workflows. Collaborate with data scientists to develop feature sets, implement data versioning, and support model training, evaluation, and retraining cycles. Participate in initiatives involving feature stores, model input validation, and monitoring of data quality feeding ML systems. Data Integration from Operational Systems Ingest, normalize, and transform data from WMS, ERP, telemetry, and other operational data sources. Model and enhance operational datasets to support real-time analytics and predictive modeling use cases. Pipeline Automation & Orchestration Build automated, reliable, and scalable pipelines using tools such as Azure Data Factory, Airflow, or Databricks Workflows. Ensure data availability, accuracy, and timeliness across both batch and streaming systems. Data Governance & Quality Implement validation frameworks, anomaly detection, and reconciliation processes to ensure high-quality ML inputs. Support metadata management, lineage tracking, and documentation of governed, auditable data flows. Cross-Functional Collaboration Work closely with data scientists, ML engineers, software engineers, and business teams to gather requirements and deliver ML-ready datasets. Translate modeling and analytics needs into efficient, scalable data architecture solutions. Documentation & Mentorship Document data flows, data mappings, and pipeline logic in a clear, reproducible format. Provide guidance and mentorship to junior engineers and analysts on ML-focused data engineering best practices. Required Qualifications Technical Skills Strong experience building ML-focused data pipelines, including feature engineering and model lifecycle support. Proficiency in Python, SQL, and modern data transformation tools (dbt, Spark, Delta Lake, or similar). Solid understanding of orchestrators and cloud data platforms (Azure, Databricks, etc.). Familiarity with ML operations tools such as MLflow, TFX, or equivalent frameworks. Hands-on experience working with WMS or operational/logistics data. Experience 5+ years in data engineering, with at least 2 years directly supporting AI/ML applications or teams. Experience designing and maintaining production-grade pipelines in cloud environments. Proven ability to collaborate with data scientists and translate ML requirements into scalable data solutions. Education & Credentials Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field (Master's preferred). Relevant certifications are a plus (e.g., Azure AI Engineer, Databricks ML, Google Professional Data Engineer). Preferred Qualifications Experience with real-time ingestion using Kafka, Kinesis, Event Hub, or similar. Exposure to MLOps practices and CI/CD for data pipelines. Background in logistics, warehousing, fulfillment, or similar operational domains.

_________________________________________________________________________________________________ Masego is an award-winning small business that specializes in GEOINT services. As a Service-Disabled Veteran-Owned Small Business (SDVOSB), we recognize and award your hard work. Description We are looking for a Level-3 TS/SCI-cleared Data Scientist to join our team. This role provides automation/collection support to the main team at NGA Washington. Because of this, this opportunity relies on good communication skills and a baseline knowledge of GEOINT collection and/or automation systems like JEMA. Minimum Required Qualifications: At least 5 years of related GEOINT work experience, or 2 years with a relevant Bachelor's degree. Able to work on client site 40-hours a week (very limited option for telework) Proficient with Python Experience with JEMA Preferred Qualifications: Experience with multiple intelligence types (SIGINT, OSINT, ELINT, GEOINT, MASINT, HUMINT Experience with Brewlytics, ArcPro and/or other geospatial data analysis tools Knowledge of GEOINT collection and associated NGA/NRO systems Proficiency with common programming languages including R, SQL, HTML, and JavaScript Experience analyzing geospatially enabled data Ability to learn new technologies and adapt to dynamic mission needs Ability to work collaboratively with a remote team (main gov team is based out of NGA Washington) Experience providing embedded data science/automation support to analytic teams Security Clearance Requirement: Active TS/SCI, with a willingness to take a polygraph test. Salary Range: $128,600 based on ability to meet or exceed stated requirements About Masego Masego Inc. provides expert Geospatial Intelligence Solutions in addition to Activity Based Intelligence (ABI) and GEOINT instructional services. Masego provides expert-level Geospatial Collection Management, Full Motion Video; Human Geography; Information Technology and Cyber; Technical Writing; and ABI, Agile, and other professional training. Masego is a Service-Disabled Veteran-Owned Small Business headquartered in Fredericksburg, Virginia. With high-level expertise and decades of experience, coupled with proven project management systems and top-notch client support, Masego enhances the performance capabilities of the Department of Defense and the intelligence community. Pay and Benefits We seek to provide and take care of our team members. We currently offer Medical, Dental, Vision, 401k, Generous PTO, and more! Diversity Masego, Inc. is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all applicable Federal and Virginia State laws, regulations, and executive orders regarding nondiscrimination and affirmative action in its programs and activities. Masego, Inc. does not discriminate on the basis of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status.

About the Role Culmen International is hiring Expert Exploitation Specialist/Data Scientists to provide support on-site at the National Geospatial-Intelligence Agency (NGA) in Tampa, FL. The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). TALENT PIPELINE - Qualified applicants will be contacted as soon as funding for this position is secured. What You'll Do in Your New Role The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Lead and participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge Required Qualifications TS/SCI Clearance w/CI Poly Eligible Minimum of 18 years combined experience (A combination of years of experience & professional certifications/trainings can be used in lieu of a degree) BS in related Field with Graduate level work Expert proficiency in Python and other programming languages applicable to automation development. Demonstrated experience designing and implementing workflow automation systems Advanced experience with ETL (Extract, Transform, Load) processes for geospatial data Expertise in integrating disparate systems through APl development and implementation Experience developing and deploying enterprise-scale automation solutions Knowledge of NGA's Foundation GEOINT products, data types, and delivery methods Demonstrated experience with database design, implementation, and optimization Experience with digital media generation systems and automated content delivery platforms Ability to analyze existing workflows and develop technical solutions to streamline processes Knowledge of DLA systems and interfaces, particularly MEBS and WebFLIS Expertise in data quality assurance and validation methodologies Experience with geospatial data processing, transformation, and delivery automation Proficiency with ArcGIS tools, GEODEC and ACCORD software systems Understanding of cartographic principles and standards for CADRG/ECRG products Strong analytical skills for identifying workflow inefficiencies and implementing solutions Experience writing technical documentation including SOPS, CONOPS, and system design Desired Qualifications Certification(s) in relevant automation technologies or programming languages Experience with DevOps practices and C/CD implementation Knowledge of cloud-based automation solutions and their implementation in - government environments Experience with machine learning applications for GEOINT Workflow optimization Expertise in data analytics and visualization for workflow performance metrics Understanding of NGA's enterprise architecture and integration points Experience implementing RPA (Robotic Process Automation) solutions Knowledge of secure coding practices and cybersecurity principles Demonstrated expertise in digital transformation initiatives Experience mentoring junior staff in automation techniques and best practices Background in agile development methodologies Understanding of human-centered design principles for workflow optimization About the Company Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments. Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen, and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 401k - Vested immediately and 4% match Life insurance and disability paid by the company Supplemental Insurance Available Opportunities for Training and Continuing Education 12 Paid Holidays To learn more about Culmen International, please visit ************** At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants. Our commitment to these principles is unwavering across all our operations worldwide.

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

AM LLC is seeking a Data Scientist that will support Operations in the Information Environment (OIE) initiatives under the J39 directorate by leveraging advanced data analysis techniques to extract actionable insights. The candidate will be responsible for analyzing complex data sets, developing predictive models, and providing data-driven recommendations to enhance Information campaigns. An active TS/SCI or TS w/SCI eligibility clearance is required. This position is for a forthcoming contract and will be based at the Customer's location in Tampa, FL. Requirements Essential Duties and Responsibilities Conducts analysis of structured and semi-structured data sets, which include opinion research, social media-based big data, and various secondary-source indices. Reviews the methods and means to provide data visualization and quantitative analysis to the team. Develops automated approaches leveraging artificial intelligence/machine learning (AI/ML) and natural language processing (NLP) to streamline the input of operational assessment data into the Command and Control of the Information Environment (C2IE) system. Supports the analytics and assessment team in the construction and modification of research design. Acquires, processes, and integrates impactful data from various commercial and customer sources, including HUMINT, SIGINT, OSINT, and GEOINT. Applies advanced analytical techniques, including machine learning, natural language processing, and deep learning, to identify trends and patterns. Develops predictive models to support influence operations and behavioral targeting. Collaborates with OIE planners, OIE analysts, and Data Engineers to ensure effective data utilization. Visualizes data insights through dashboards and reports for decision-makers. Evaluates the effectiveness of OIE campaigns using data-driven methods Stays current on emerging data science techniques and tools relevant to OIE. Provides recommendations to senior leadership on data-driven strategies for OIE Defines the means to create data visualizations and quantitative analysis to support mission needs. Reviews/analyzes statistical data received from team members, other agencies, and CCMD organic assets. Reviews empirical/quantitative studies conducted by similar organizations and determine reliability, validity, and other strength factors for potential use in theater. Provides data visualization and explain quantitative analysis from the research team / vendors and quantitative analysis. Responsible for contributing to analytic and assessment projects evaluating the Information Environment (IE) for a variety of Combatant Commands (CCMDs). Knowledge, Skills, and Abilities: General: Confident in supporting projects and people, and proactive in making independent decisions and taking appropriate action. Strong written, analytical, presentation, and verbal communication skills, with the ability to communicate effectively with all levels of stakeholders, from assistants to senior executives. Strong organizational and time management skills, attention to detail, and the ability to troubleshoot when faced with challenges. Demonstrates growth from feedback and actively seeks ways to improve. Able to liaise effectively with a small internal team and external partners. Minimum Qualifications: General Requirements: Degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Experience in data science, with a focus on predictive analytics, machine learning, and statistical modelin Experience with data visualization tools (Tableau, Power BI, Matplotlib) Experience with natural language processing (NLP) and text analytics Proficiency in Python, R, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch). Familiarity with data security protocols for classified environments Preferred Qualifications: Experience supporting Joint Intelligence or U.S. Geographic Combatant CommandsExperience with advanced analytic tools (Open.IO, Echosec, Babel Street, Scraawl) Experience with geospatial analytic tools (ArcGIS, QGIS) Experience with data manipulation and analysis tools (SPSS, STATA, IBM Watson) Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Demonstrated experience with Command and Control of the Information Environment (C2IE) Demonstrated experience briefing senior military leadership (O-5 and above) Expertise in OSINT, including social media monitoring and analysis. Ability to conduct complex data queries and scripting for automation. Security Clearance: Active TS/SCI or TS w/SCI Eligibility clearance is required. Physical and Environmental Requirements: Employees must have the ability to perform the following physical demands for extended periods of time with or without assistance: This position requires the ability to remain in a stationary position (standing and/or seated) most of the time. Viewing a computer screen/monitor. Utilizing a keyboard. Levels: Junior: 3+ years Journeyman: 3-10 years Senior: 10+ years SME: 15+ years Proposed Salary Range: $130,000 - $235,000 Tampa, FL Please note that actual salaries may vary within the range or be above or below the range based on factors including, but not limited to, education, training, experience, business need, and location. AM LLC is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone. Salary Description $130,000-$235,000

About the OrganizationNow is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We're looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. 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). Familiarity using AI/ML tools to support logistics use cases. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Dark Wolf Solutions is seeking a highly motivated and experienced Data Scientist to join our team and contribute to the development and optimization of our Data/ML Platform. In this role, you will be instrumental in building, testing, and validating data pipelines that enable the creation and deployment of cutting-edge AI/ML. You will work collaboratively with a team of data engineers and AI/ML specialists to ensure the quality, accessibility, and performance of our data assets for a key government customer based in Tampa, FL. Tasks may include, but are not limited to: Testing and validating the performance of ML models Assisting with data acquisition, ingestion, and tagging. Data exploration and understanding to identify valuable insights. Feature extraction and analysis to engineer effective AI/ML models. Data engineering and conditioning to ensure data quality and consistency. Data labeling to create high-quality training datasets. Constructing, training, and validating AI/ML datasets. Required Qualifications: 5+ years of experience performing data science activities to include: data exploration, feature engineering, model building, training, and validation. 2+ years of experience working with Cloud environments (AWS, Azure, GCP). 1+ year experience using scripting languages such as R or Python for data analysis and model development. 1+ years experience using Big Data technologies and tools (e.g. Spark, Hadoop, Hive, Cassandra, Druid, Flink, Drill, Trino, NoSQL) for large-scale data processing. Experience with a variety of open source and commercial AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Ability to manipulate raw data into effective visualizations and actionable insights. Ability to communicate end-to-end data outcomes visually to both technical and non-technical audiences. Demonstrates a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques. Strong understanding of SQL and experience querying relational databases. Comfortable in a project startup environment, demonstrating adaptability and initiative. US Citizenship and an active TS/SCI clearance Desired Qualifications: Master's degree or Ph.D. in Statistics, Mathematics, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience. A Data Science Certification OR a cloud certification in AWS, Azure, or GCP focused on data science or AI/ML services. Previous experience supporting the DoD. Bachelor's Degree in Computer Science, Mathematics, or equivalent technical degree; or in lieu of degree, 3 years of equivalent industry experience. This position is located in Tampa, FL. The estimated salary range for this position is $130,000.00 - $200,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description Overview **This position is contingent upon award of contract** SOS International LLC (SOSi) is seeking a Data Scientist (IT Architecture Specialist) Coalition to support our customer in McDill AFB, Florida. Essential Job Duties 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. Provide systems and process evaluation, design, development and/or implementation as required to support information sharing or automation requirements. 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. Effectively communicate with seniors; develop/present briefings and materials to coalition stakeholders ranging from information sharing requirements to technical descriptions of applicable tools. Assist in the migration planning for systems being deactivated and track/participate in system design efforts for new information sharing systems coming on board. Provide support in designing objective systems architecture and integrating intelligence applications/communications to enable effective solutions for USCENTCOM J2 and theater components. 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. Qualifications Minimum Requirements Active In-Scope TS/SCI clearance. Experience designing objective systems architecture and integrating intelligence applications/communications. Ability to effectively communicate ideas and collaborate with stakeholders. Preferred Qualifications Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years. 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. Additional Information Work Environment Working conditions are normal for an office environment. Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

Charlotte, North Carolina;Richmond, Virginia; Fort Worth, Texas; New York, New York; Boston, Massachusetts; Chandler, Arizona; Chicago, Illinois; Tampa, Florida; Kennesaw, Georgia; Jacksonville, Florida; Newark, Delaware; Phoenix, Arizona **To proceed with your application, you must be at least 18 years of age.** Acknowledge Refer a friend **To proceed with your application, you must be at least 18 years of age.** Acknowledge (*********************************************************************************************************************************** **Job Description:** At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! **Job Summary** This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. 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 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your **"Know your Rights (************************************************************************************** "** poster. **View the LA County Fair Chance Ordinance (************************************************************************************************** .** Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work. This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

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

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. This position will work with hockey data to fulfill given directives as well as the ability to create new projects and communicate results. This role will be part of a team-based environment in the hockey analytics department and is expected to work at Benchmark International Arena. Here is a unique opportunity to create impactful solutions in a growth-minded environment and culture. This full-time position will report to the Director of Hockey Analytics and Associate Director of Hockey Analytics. We ask that you submit a cover letter for this position. In your cover letter, please discuss prior work or a project you have done that you are most proud of. Please also discuss why you are interested in the position. Additionally, please provide any examples of your open-source projects or public work that you can share. Essential Duties & Responsibilities: Build and validate models for hockey metrics using multiple data sources Create projects to advance our understanding of hockey Collaborate with other data scientists, data engineers, etc. Responsible for communicating the results of projects to coaches and management May be expected to travel a few times a year for work Game/Event Responsibilities: Option to attend all home games Qualifications: Computer Science, Math, Engineering or Physics degree required Minimum 3-5 years of experience writing modern Python code Experience using Docker Experience using SQL databases Experience working with time series data Ability to write geometric and physics analyses Ability to problem solve and a desire for personal development Experience working in a team-based environment Familiarity with Git/VCS Ability to collaborate with others and take ownership of projects Ability to interpret results and communicate effectively Ability to understand and implement research papers related to sports and data science Preferred Qualifications: Graduate Degree in Physics, Math or Engineering Machine learning concepts and applications Advanced statistical modelling and knowledge of statistics Familiarity working with sports data We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Company Details Berkley Edge offers solutions for hard-to-place and distressed risks for both professional and casualty lines of business. Edge will focus on small to mid-sized risks through a wholesale only distribution model. The Company is an equal employment opportunity employer. Responsibilities Analyze both internal and external data to adapt and develop advanced rating methodologies for existing company products Use advanced techniques to incorporate new variables in pursuit of a competitive advantage and improved underwriting results Utilizes advanced loss development and other methods to participate in the determination of incurred but not reported reserve estimates to be used in profitability analyses Produce regular monthly reports and/or analyses used to complete the financial close process and/or used to improve underwriting results of the company Represent the needs of the actuarial department on cross functional projects Constantly seek to improve current reporting and actuarial processes Participate in planning ultimate loss and loss adjustment ratios based on underwriting leadership plans and changes to underwriting guidelines Performs advanced analytics and modeling techniques including but not limited to generalized linear modeling and other forms of multivariate analysis. Qualifications 6+ years of experience in a data-related role with working knowledge of information systems Preferred: 3+ years of experience in Pricing role within General Liability or Professional Liability Minimum FCAS designation offered by the Casualty Actuarial Society Bachelor's degree in a related field (mathematics, business, finance, technical). Required: Strong knowledge of MS Office tools (Excel, Outlook, Word, PowerPoint). Required: Strong knowledge of VBA. Required: Strong knowledge of SQL. Preferred: intermediate knowledge of Power BI. Required: knowledge of the insurance industry and IT systems. Preferred: intermediate knowledge of R and Python. Ability to adapt. Strong problem solving and communication skills. Strong organization skills and ability to multitask and prioritize multiple tasks at once. Ability to work outside normal work schedule to fulfill responsibilities. Ability to travel on occasional basis. Reasonable, regular, and predictable attendance. Additional Company Details We do not accept unsolicited resumes from third party recruiting agencies or firms. The company offers a competitive compensation plan and robust benefits package for full time regular employees. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities * Review, prepare and/or certify client projects and ensure accurate client deliverables including: * Actuarial valuations and reports * Benefit statements * Plan documents, amendments, employee communications (SPDs, etc.) * Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) * IRS determination filings and PBGC (Form 500 series) termination submissions * ASC 715/960 * Perform and review combined plan non-discrimination testing * Answer technical questions posed by staff * Research the Internal Revenue Code and other technical resources to resolve client issues * Provide technical training for staff * Provide back up to other teams as necessary * Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. * Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. * Assist with other tasks and projects as assigned Supervision * N/A Section 3: Experience, Skills, Knowledge Requirements * Bachelor's degree in actuarial science, math or math related field * Enrolled Actuary designation with 5 years industry experience * Advanced understanding of: * Pension law * Plan documents and IRS favorable determination letters * Actuarial valuations and software systems * Excellent technical/analytical skills * Ability to research technical issues * Ability to explain technical issues to all levels of associates * Good verbal and written communication skills * Demonstrated expertise with Microsoft Office, particularly Excel applications * Demonstrated expertise with industry recognized pension valuation software * Detail and accuracy oriented * Good time management skills * Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").

The EDI & Customer Data Intern's role is to support the onboarding and maintenance of IFCO EDI customers by assisting with daily error resolution and customer data reporting. Contributes to ensuring data accuracy and efficient EDI feeds for IFCO NA customers. KEY RESPONSIBILITIES Monitor and respond to EDI-related communications to ensure timely resolution of errors and maintain continuity of data flow. Support the accurate and efficient implementation of new EDI feeds by assisting in onboarding activities and documentation. Collaborate with IFCO's EDI provider and internal stakeholders to support the maintenance and optimization of EDI processes. Assist in validating and correcting customer data in MyIFCO to ensure data integrity and alignment with operational needs. Analyze reports to identify action items related to EDI transmission quality and escalate findings as needed. Partner with the Customer Data Solutions Manager to identify opportunities for process improvement and program scalability. Participate in reviewing existing EDI feeds to confirm the completeness and accuracy of RPC shipment data. Contribute to the expansion of IFCO's EDI program by supporting efforts to onboard additional customers for automated RPC shipment reporting. EXPERIENCE & QUALIFICATIONS Experience working in a business, data or administrative support setting (school program, job, or volunteer role). Demonstrated experience handling tasks independently or within collaborative teams. Preferred (not required) someone enrolled in a Business, Supply Chain, Information Systems, or related undergraduate program. SKILLS AND KNOWLEDGE Strong written and verbal communication skills Ability to work well in a team environment Analytical and problem-solving skills Planning and organizational skills Computer literacy, including proficiency in standard business applications included in the Microsoft Office Suite This is a hybrid role, and candidates need to be located in the Tampa Bay area. At IFCO, we believe that a diverse, equitable, and inclusive workplace makes us a more relevant, competitive, and resilient company. We welcome applicants from all backgrounds, ethnicities, cultures, and experiences. IFCO is an equal opportunity employer. We do not discriminate based on race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location:

About the OrganizationNow is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We're looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. 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). Familiarity using AI/ML tools to support logistics use cases. 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.

About the Role Culmen International is hiring Sr. Exploitation Specialist/Data Scientists to provide support on-site at the National Geospatial-Intelligence Agency (NGA) in Tampa, FL. The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). TALENT PIPELINE - Qualified applicants will be contacted as soon as funding for this position is secured. What You'll Do in Your New Role The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Lead and participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge Required Qualifications Requires TS/SCI Clearance with the ability to obtain a CI/Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) Experience supporting IC operations Possess expert level knowledge to manipulate and analyze structured/ unstructured data Demonstrated experience in data mining and developing/maintaining/manipulating databases Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems Experienced in conducting multi-INT and technology specific research to support mission operations Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format Desired Qualifications Possess Master's degree in Data Science or related technical field Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML) Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS. Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development. Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs. Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products About the Company Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments. Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen, and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 401k - Vested immediately and 4% match Life insurance and disability paid by the company Supplemental Insurance Available Opportunities for Training and Continuing Education 12 Paid Holidays To learn more about Culmen International, please visit ************** At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants. Our commitment to these principles is unwavering across all our operations worldwide.

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities Review, prepare and/or certify client projects and ensure accurate client deliverables including: - Actuarial valuations and reports - Benefit statements - Plan documents, amendments, employee communications (SPDs, etc.) - Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) - IRS determination filings and PBGC (Form 500 series) termination submissions - ASC 715/960 - Perform and review combined plan non-discrimination testing Answer technical questions posed by staff Research the Internal Revenue Code and other technical resources to resolve client issues Provide technical training for staff Provide back up to other teams as necessary Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. Assist with other tasks and projects as assigned Supervision N/A Section 3: Experience, Skills, Knowledge Requirements Bachelor's degree in actuarial science, math or math related field Enrolled Actuary designation with 5 years industry experience Advanced understanding of: - Pension law - Plan documents and IRS favorable determination letters - Actuarial valuations and software systems Excellent technical/analytical skills Ability to research technical issues Ability to explain technical issues to all levels of associates Good verbal and written communication skills Demonstrated expertise with Microsoft Office, particularly Excel applications Demonstrated expertise with industry recognized pension valuation software Detail and accuracy oriented Good time management skills Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.