Data science internship jobs in Spring Hill, FL

Must Have Technical/Functional Skills * Strong experience in Workday Financials - particularly in AP, AR, Expenses, Business Assets, GL, Banking & Settlement, and Procurement modules. * Hands-on expertise in data conversion processes - including extraction, transformation, and loading (ETL). * Knowledge of PeopleSoft Financials data structures and mapping to Workday equivalents. * Experience with Workday Data Loading tools. * Strong SQL skills for data extraction and validation from legacy systems. * Strong understanding of Workday data model and object relationships across Financials modules to ensure accurate mapping and conversion. * Expertise in data validation and reconciliation techniques to ensure accuracy post-conversion. * Familiarity with Workday reporting tools (Custom Reports, Calculated Fields) for conversion audit. * Experience in designing and executing data conversion strategies, including mapping, transformation logic, and reconciliation for large-scale ERP migrations Roles & Responsibilities * Lead data conversion strategy and planning for Workday implementation. * Analyze legacy PeopleSoft data and define mapping to Workday structures. * Develop and execute data extraction scripts from PeopleSoft and other source systems. * Design and build Workday EIB templates for loading financial data. * Perform data cleansing and transformation to meet Workday requirements. * Coordinate with functional teams to validate converted data and resolve discrepancies. * Conduct mock conversions and reconciliation to ensure data integrity. * Prepare detailed documentation for conversion processes and mapping rules. * Collaborate with integration teams for dependencies between data conversion and integrations. * Support cutover activities and post-go-live data validation to ensure smooth transition. Generic Managerial Skills: * Strong stakeholder management across finance, procurement, and IT teams. * Ability to gather requirements and translate into system design. * Change management skills to drive adoption of new procurement processes. * Project management experience (Agile or Waterfall delivery). * Strong documentation skills (process flows, functional specs, training materials). * Analytical problem-solving and issue resolution. * Excellent communication and presentation skills with business and technical teams. Salary Range: $100,000-$140,000 a year #LI-DM1

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 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 ********************

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:

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.

Job Description _________________________________________________________________________________________________ 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. Powered by JazzHR dWDxKmrwOd

About Justrite Safety Group At Justrite Safety Group, we're more than just a collection of industrial safety companies; we're a dynamic organization dedicated to protecting people, property, and the planet. Our ever-growing portfolio of companies collaborates to deliver advanced industrial safety solutions that set the standard for excellence. As our business continues to grow, we continue to look for top talent to join our team as we lead the charge in revolutionizing industrial safety, ensuring that every worker returns home safe, every workplace remains secure, and our environment thrives for generations to come. With Justrite Safety Group, safety isn't just a priority-it's our passion. Our Facility Safety division offers a diverse range of facility safety and 5S workplace organization products designed to enhance operational safety and productivity. Our portfolio includes ergonomic matting, safety identification and signage, material handling solutions, facility protection items, and traffic control products. We also provide 5S solutions, such as tool shadow boards, to improve efficiency in lean manufacturing environments. By integrating safety and organization, we empower businesses to protect their employees and optimize operations, resulting in increased productivity and cost savings. The Contribution You'll bring to this Role: The Merchandising Data Coordinator is part of the Product team and works to assist the Sales team (National, Regional, and Inside Distributor Accounts) by providing product-related data and information and trends to enable sales growth of the Safety Identification business.     This role will support the marketing team by sharing product knowledge, supporting and communicating marketing information for key stakeholders and interface with the sales team, product development team and general marketing.  This role will utilize multiple resources to compile the VP Customer Experience, SID setting the stage for your career to soar! This role is your gateway to opportunities for advancement, with the potential to grow within the organization in 3-5 years as you make meaningful contributions to our organizational goals. About the Team: The Product Team drives innovation and alignment across the organization by managing the full product lifecycle-from concept to market success. We use product data and analytics to inform decisions, improve performance, and ensure our solutions meet customer and business needs. In partnership with the Sales team, we provide product expertise, data insights, and go-to-market support that help drive growth and strengthen customer relationships. Through collaboration, strategy, and data-driven execution, the Product Team ensures every product delivers measurable value and impact What You'll Do at Justrite: Continually review and analyze Safety ID product offerings, analyze website appearance and placement. Provide recommendations for improvement, plus complementary products to offer, along with other product expansion opportunities.  Assist with new customer accounts and the development plan for product selection within similar and new markets. Compile product data recommendations for prospective customer accounts that may require their specific market or a new market. Perform similar functions for product selection, data, and price submittals for all customer accounts (or assigned accounts)  Create and run weekly and/or monthly sales reports, analyze the sales data by product line,  and collaborate with marketing and sales to assist and provide ideas for growth opportunities in current and new markets.  Pro-actively provide product knowledge, safety regulations and standards to the customer account. This includes collaborating with Marketing to provide product flyers, catalogs for announcing new product types and lines for customer awareness.   Provide pricing as required via Customer Account price file template, or portal submissions, as it relates to annual price cycles, or off-cycle price actions.  Understand and recognize requests that include industry jargon, i.e. OSHA, ANSI - among other regulatory and trade organizations that relate to our products and industry.   Be familiar with specific certificate data - i.e. California Proposition 65, REACH, RoHS, etc. - from local, municipal, state, federal, and global, as applicable to market needs  Your Skills and Expertise: To ensure your success from day one in this role, Justrite requires the following qualifications at a minimum: Associates degree or bachelor's degree in business administration or marketing preferred     A minimum of 4 years working in a business environment and understanding of marketing and sales programs and practices  Adept at learning new technologies and database management   Knowledge of OSHA and ANSI safety regulations and standards, among other agencies and trade groups  Additional qualifications that could help you succeed even further in this role include: Self-motivated attitude with the ability to multitask and thrive in a timeline-driven environment.   Strong communication and interpersonal skills and work well in a collaborative team environment  Compensation: The position offers a competitive hourly rate ranging from $20-24. Actual base salaries will vary and may be above or below the recommended pay range based on factors such as but not limited to location, relevant experience and performance. Additionally, this role is eligible for an annual incentive plan to enhance their overall total compensation package when Justrite Safety Group and their business units achieve annual business and financial targets. Benefits: Our benefits package at Justrite Safety Group is designed to be the best in the industry, offering everything you need to support your career and personal well-being. You'll receive a competitive salary paired with an extensive benefits package that includes comprehensive medical, dental, and vision coverage. We provide flexible hours and alternative work arrangements designed to support a healthy work-life balance. These options vary depending on the specific roles and business needs. Your financial future is secure with our 401K plan, complete with a company match, and you're protected with company-paid short and long-term disability insurance. To ensure you're at your best, we also offer generous paid time off, personal days, and a robust employee wellness program that supports your overall health and happiness. At Justrite, our benefits package is designed to help you thrive both in and out of the workplace. Why Choose Justrite Safety Group? As a leading name in the safety industry, Justrite provides a platform where you can collaborate with some of the best professionals in the field, learning from experts and contributing to cutting-edge solutions. The company's commitment to excellence and innovation ensures that you'll be part of a team that is making a real impact. With a strong focus on career advancement, Justrite empowers its employees to thrive both personally and professionally, making it an ideal workplace for those looking to grow their careers in a meaningful and rewarding environment. Join us and be part of a team dedicated to product excellence and making a positive impact in our company, and in our community!

About Us: Each of CenExel's research sites specialize in Phase I to Phase IV clinical trials. Our Centers of Excellence comprise some of the most well respected and long-standing research facilities in the country. Specialty areas of research across our sites include Psychiatry, Acute Post Op Pain, Asian Bridging, Dermatology, GI, and Neurology. Each of our Centers of Excellence has tremendous experience and expertise in complex early phase trials, and all our sites have in-patient capability. We focus on quality people, teamwork, and highly experienced clinical research managers with a history of success. Along with an exceptional work environment that promotes teamwork, positive leadership, and optimal work-life balance, CenExel Clinical Research also provides highly competitive compensation and a generous benefits package to full time employees after 30 days of employment including Health Insurance, Dental, Vision, LTD, STD, Life Ins, and 401k. Job Summary: Under moderate supervision, the Data Entry Coordinator I transcribes clinical research data correctly from source documents to electronic data capture following ALCOA-C principles. Essential Responsibilities and Duties: Ensures timely data entry thru department and study tracking, etc. Maintains healthy professional relationships with Clinical Operations, Quality, Regulatory, CROs, Sponsors, etc., as well key clinical trial personnel. Transcribes data accurately and efficiently from source documents to electronic data capture. Assists in preparing for internal and external data audits along with the clinical operations/ quality/ and regulatory teams. Completes training and obtains applicable certificates and access to CRFs/EDC. Verifies source documents (e.g., “buddy check”). Assists CRCs in entering data from paper source documents to eCRFs correctly, accurately and on a timely manner for multiple clinical trials. Supports and ensures strictest adherence to best practices, FDA Code of Federal Regulations, ICH (International Conference on Harmonization), GCP (Good Clinical Practices), CenExel standard operating procedures, site working Practices, protocol, and company guidelines and policies. Assumes other duties and responsibilities as assigned. The above responsibilities are a general description of the level and nature of the work assigned to this classification and are not to be considered as all inclusive. Education/Experience/Skills: Minimum High School graduate or equivalent. One year of data entry or related preferred. Must have excellent computer skills and medical/research terminology. Must be self-directed and able to work with minimal supervision. Motivated to work consistently in a fast paced and rapidly changing environment. Able to manage multiple projects and responsibilities. Working Conditions Indoor, Office environment. Essential physical requirements include sitting, typing, standing, and walking. Lightly active position, occasional lifting of up to 20 pounds. Reporting to work, as scheduled, is essential. On site work arrangement. CenExel Clinical Research is an Equal Opportunity Employer. All applicants will be considered for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or status.

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments. Responsibilities Contract Overview: The Data Technical Support (DTS) contract provides data science professionals to the United States Special Operations Command's (USSOCOM) Intelligence Data Support Team (IDST) and Special Operations Forces Acquisitions, Technology & Logistics (SOF AT&L). The IDST is a government-led team focused on data analytics efforts within the USSOCOM Directorate of Intelligence (J2) and its subordinate command's intelligence lines of effort. The IDST helps USSOCOM intelligence analysts by turning the Command's data into actionable information. The IDST team may also engage with the USSOCOM Chief Digital and Artificial Intelligence Office (CDAO), Knowledge Management (KM), and other HQ entities. The DTS contract provides permanently assigned data science professionals to the USSOCOM Headquarters, Theater Special Operations Commands, and Component Commands. Additionally, the DTS contract may provide temporary support (Temporary Duty / deployment) to worldwide Special Operations Joint Task Forces, Combined Joint Special Operations Task Forces, Special Operations Task Forces, and Special Operations Command Forward Elements. Job Description: Data Analyst - Data Analysts support the IDST by using technology to mine complex, voluminous, and different varieties of data from various sources and platforms to collect, analyze, and compile data to meet customer needs. This position is at MacDill AFB, Tampa, FL Job Duties Include (but are not limited to): Identify new sources of data and methods to improve data collection, analysis, and reporting Collect customer requirements Determine technical issues Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products Deploy and maintain infrastructure needed for development, testing and deployment of IDST capabilities, to include but not limited to, virtual machines, database servers, application programming interfaces/services, and containerized applications in cloud and on-prem based architectures Troubleshoot issues across various cloud and on-premises environments Implement and refine monitoring solutions to meet SLAs Qualifications Required Skills & Experience: Experience providing services similar in required tasks, scope, and complexity Required experience with Python, Terraform, Containers (Docker, ECS, Kubernetes) Due to US Government Contract Requirements, only US Citizens are eligible for this role Desired Experience: Apache, Docker, Postgres, GeoServer, Ubuntu Education & Certifications: Bachelor's degree in a computer science discipline or equivalent. Security Clearance: Current Top-Secret clearance with SCI eligibility is required Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Data Analyst The Ascendancy Group's Mission To be the unequaled provider of special operations forces (SOF) and Intelligence Community focused technical, service, and training-based solutions. Overview The Data Analyst position is a full-time position supporting mission operations by collecting, organizing, analyzing, and interpreting structured and unstructured data to generate actionable insights as part of Operations in the Information Environment (OIE). Unlike data engineers who build pipelines and infrastructure, or data scientists who develop models and advanced analytics, the data analyst focuses on extracting trends, generating reports, and translating raw data into decision-ready products. This position is contingent upon contract award. Security Requirement: TS/SCI or TS w/SCI Eligibility Roles and Responsibilities: Conducts data analysis to support OIE planning and assessment, including Measures of Effectiveness (MOE), Measures of Performance (MOP), and campaign impact evaluations. Translates complex datasets into clear visuals, dashboards, and narrative reports for planners, leadership, and assessment teams. Identifies trends, anomalies, and engagement patterns across cyber, social media, public affairs, and influence operations datasets. Collaborates with MISO, Cyber, MILDEC, OPSEC, and Public Affairs teams to ensure data integration supports cross-IRC planning and decision support. Supports real-time and post-operation analysis of influence campaigns and adversary activity within the information environment. Queries and manipulate data from mission systems, OSINT platforms, and enterprise databases (e.g., social media metrics, cyber logs, product engagement stats). Ensures data quality and consistency, provide recommendations for improved collection or visualization, and assist with standardizing assessment metrics. Identifies and gains authority to leverage required data to support mission needs. Provides data visualization and quantitative analysis; manage and optimize existing databases and associated dashboards. Briefs senior leadership and operational planning staff on findings, trends, and campaign impacts derived from multi-source data. Leverages online analytic toolkits to support social media scrapes and trend analysis. Works independently or collaboratively with social scientists, ORSAs, and data scientists to refine research design and integrate qualitative insights into quantitative findings Required Qualifications: Degree in Data Analytics, Information Science, Political Science, or a related field Experience performing data analysis in support of military operations, influence planning, or intelligence activities Proficient in SQL and Excel; working knowledge of Python, R, or similar scripting tools is a plus Familiarity with data visualization platforms (e.g., Tableau, Power BI, Qlik) Strong understanding of data validation, normalization, and metadata tagging in support of operational reporting Willing to travel within the supported Combatant Command's area of responsibility Preferred Qualifications: Experience supporting a Combatant Command or Joint Task Force within a J39, J2, or J3 staff Experience analyzing data related to social media behavior, message resonance, PSYOP product distribution, audience targeting, or narrative effectiveness Experience contributing to IO campaign assessments or synchronization meetings Experience briefing senior officers (O-5 and above) and developing executive-level summaries in PowerPoint or equivalent Experience using statistical packages such as IBM SPSS, STATA, or R Demonstrated ability to develop or track MOEs and MOPs aligned to operational objectives Understanding of IRCs (MISO, MILDEC, OPSEC, Cyber, PA) and how data supports their planning and assessment The Ascendancy Group (TAG) was founded on and thrives based on relationships, reputation, and trust. We are passionate about everything we do. One hundred percent of our government-focused teammates are former members of the Department of Defense or the Intelligence Community who still believe in supporting our nation. We offer like-minded individuals the opportunity to continue working in small teams on unique and challenging problem sets that further our nation's security. To expedite your application, provide the following information when you apply: Do you have an active TS/SCI Clearance? If not, are you eligible for one? Total number of years professional experience List the highest degree earned and the field of study List the second highest degree earned and the field of study Provide your experience as it relates to this role. Please be specific. If you possess the experience, qualifications and drive required for this position, please APPLY NOW for consideration!

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.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

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. 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.

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

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation's interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world. Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact. We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security. Role This role is for a Data Scientist on a close-knit team supporting a U.S. Special Operations Command program at MacDill AFB. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization. Responsibilities A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques. The Data Scientist shall perform the following tasks: • Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method. • Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data • Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. • Coordinate with Data Engineers to build Data environments providing data identified by other data professionals • Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. • Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques. • Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. • Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. • Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. • Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Requirements A minimum of 1 year of hands-on Data Science experience is required. Bachelor's Degree in a STEM field is required. Proficient with one or more programming languages (Java, C++, Python, R, etc.) Proficient in Agile Development and Git operations An Interim Secret clearance within 30 days of hire is required. Ability to work on-site in secure spaces. Preferred Qualifications Familiarity with DoD Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. Top Secret Clearance with SCI eligibility. We are 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 veteran status.

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.

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.

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.