Senior data scientist jobs in Lakeland, FL - 103 jobs

Company: Toorak Capital Partners is an integrated correspondent lending and table funding platform that acquires business purpose residential, multifamily and mixed-use loans throughout the U.S. and the United Kingdom. Headquartered in Tampa, FL., Toorak Capital Partners acquires these loans directly from a network of private lenders on a correspondent basis. Summary: The role of the Lead Data Engineer is to develop, implement, for building high performance, scalable data solution to support Toorak's Data Strategy Lead Data architecture for Toorak Capital. Lead efforts to create API framework to use data across customer facing and back office applications. Establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI / ML technologies Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision Lead the data integration and mapping efforts to harmonize data. Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Toorak. Lead strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects Required Skills: Designing and maintaining the data models, including conceptual, logical, and physical data models 5+ years of experience using NoSQL systems like MongoDB, DynamoDB and Relational SQL Database systems (PostgreSQL) and Athena 5+ years of experience on Data Pipeline development, ETL and processing of structured and unstructured data 5+ years of experience in large scale real-time stream processing using Apache Flink or Apache Spark with messaging infrastructure like Kafka/Pulsar Proficiency in using data management tools and platforms, such as data cataloging software, data quality tools), and data governance platforms Experience with Big Query, SQL Mesh(or similar SQL-based cloud platform). Knowledge of cloud platforms and technologies such as Google Cloud Platform, Amazon Web Services. Strong SQL skills. Experience with API development and frameworks. Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Strong background in Data Science, Machine Learning, NLP, Text processing of large data sets Experience in one or more of the following: Dataiku, DataRobot, Databricks, UiPath would be nice to have. Using version control systems (e.g., Git) to manage changes to data governance policies, procedures, and documentation Ability to rapidly comprehend changes to key business processes and the impact on overall Data framework. Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change. Advanced analytical skills. High level of organization and attention to detail. Self-starter attitude with the ability to work independently. Knowledge of legal, compliance, and regulatory issues impacting data. Experience in finance preferred.

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.

Join our team at Core One! Our mission is to be at the forefront of devising analytical, operational and technical solutions to our Nation's most complex national security challenges. In order to achieve our mission, Core One values people first! We are committed to recruiting, nurturing, and retaining top talent! We offer a competitive total compensation package that sets us apart from our competition. Core One is a team-oriented, dynamic, and growing company that values exceptional performance! *This position requires an active TS/SCI clearance.* Responsibilities: Provide data science (DS) and operations research (OR) capabilities on-site for a combatant command Operation Assessment Division. Design, develop, and apply a variety of data collection and decision analytics processes and applications, including the employment of mathematical, statistical, and other analytic methods. Identify effective, efficient, and innovative technical solutions for meeting Division data and automation requirements, including potential artificial intelligence (AI) and machine learning (ML) solutions. Develop automated applications, data visualizations, information displays, decision briefings, analytic papers, and facilitate senior leadership decisions with analytic products. Identify and develop data stream interfaces for authoritative data sources to support assessments and risk analysis. Integrate Division functions and products into the Command and Control of the Information Environment (C2IE) system, MAVEN Smart Systems, and/or Advana. Build digital solutions using programming applications (e.g., R, R/Shiny, Python) to digitalize and partially or fully automate data collection, analysis, and staff processes while accelerating the rate at which the Division can execute tasks. Develop and lead small teams in the development of real-time/near real-time data visualization and analysis methodologies and analytic tools. Participate in client operational planning processes in support of Joint planning. Support Knowledge Management and Information processes requirements. Basic Qualifications: Possess a Master's Degree, preferably in a related technical field, such as operations research, data science, math, engineering, science, or computer science. 12 years of combined professional DS/OR experience, with a minimum of 5 years of related DS/OR experience at a Combatant Command staff, Joint or Combined Command Headquarters, or Defense Department equivalent. High levels of proficiency using the following applications: R, R-Shiny, Python, Python-Shiny, SQL/POSTRESQL, Microsoft Office applications, and Microsoft SharePoint Functional knowledge of MAVEN Smart Systems, C2IE, Advana, AI, ML, Git, and Large Learning Models Top Secret (TS)/Secure Compartmented Information (SCI) clearance is required. Applicants are subject to a security investigation and need to meet eligibility requirements for access to classified information. Additional Qualifications: Ability to work independently or as the leader or member of a small team in conducting analysis in support of assessments with high visibility, unusual urgency or program criticality; requiring a variety of OR and DS techniques and tools. Possession of excellent oral and written communication skills with the ability to communicate, prepare correspondence, and make formal presentations at the 4-Star General Officer/Flag Officer level. Ability to develop and support new analytic capabilities as requirements evolve within the command for assessments. Knowledge of Joint Warfighting and Combatant Command functions. Security Clearance: Active TS/SCI clearance is required Core One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability. __PRESENT__PRESENT__PRESENT

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.

Join our team at Core One! Our mission is to be at the forefront of devising analytical, operational and technical solutions to our Nation's most complex national security challenges. In order to achieve our mission, Core One values people first! We are committed to recruiting, nurturing, and retaining top talent! We offer a competitive total compensation package that sets us apart from our competition. Core One is a team-oriented, dynamic, and growing company that values exceptional performance! * This position requires an active TS/SCI clearance.* Responsibilities: Provide data science (DS) and operations research (OR) capabilities on-site for a combatant command Operation Assessment Division. Design, develop, and apply a variety of data collection and decision analytics processes and applications, including the employment of mathematical, statistical, and other analytic methods. Identify effective, efficient, and innovative technical solutions for meeting Division data and automation requirements, including potential artificial intelligence (AI) and machine learning (ML) solutions. Develop automated applications, data visualizations, information displays, decision briefings, analytic papers, and facilitate senior leadership decisions with analytic products. Identify and develop data stream interfaces for authoritative data sources to support assessments and risk analysis. Integrate Division functions and products into the Command and Control of the Information Environment (C2IE) system, MAVEN Smart Systems, and/or Advana. Build digital solutions using programming applications (e.g., R, R/Shiny, Python) to digitalize and partially or fully automate data collection, analysis, and staff processes while accelerating the rate at which the Division can execute tasks. Develop and lead small teams in the development of real-time/near real-time data visualization and analysis methodologies and analytic tools. Participate in client operational planning processes in support of Joint planning. Support Knowledge Management and Information processes requirements. Basic Qualifications: * Possess a Master's Degree, preferably in a related technical field, such as operations research, data science, math, engineering, science, or computer science. * 12 years of combined professional DS/OR experience, with a minimum of 5 years of related DS/OR experience at a Combatant Command staff, Joint or Combined Command Headquarters, or Defense Department equivalent. * High levels of proficiency using the following applications: R, R-Shiny, Python, Python-Shiny, SQL/POSTRESQL, Microsoft Office applications, and Microsoft SharePoint * Functional knowledge of MAVEN Smart Systems, C2IE, Advana, AI, ML, Git, and Large Learning Models * Top Secret (TS)/Secure Compartmented Information (SCI) clearance is required. Applicants are subject to a security investigation and need to meet eligibility requirements for access to classified information. Additional Qualifications: * Ability to work independently or as the leader or member of a small team in conducting analysis in support of assessments with high visibility, unusual urgency or program criticality; requiring a variety of OR and DS techniques and tools. * Possession of excellent oral and written communication skills with the ability to communicate, prepare correspondence, and make formal presentations at the 4-Star General Officer/Flag Officer level. * Ability to develop and support new analytic capabilities as requirements evolve within the command for assessments. * Knowledge of Joint Warfighting and Combatant Command functions. Security Clearance: * Active TS/SCI clearance is required Core One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability. __PRESENT__PRESENT__PRESENT

_________________________________________________________________________________________________ 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.

We are seeking a talented and experienced Data Scientist to join our team. As a Data Scientist, you will play a crucial role in designing, developing, and implementing data science solutions to empower investigators and enhance our capabilities in extracting meaningful information and identifying anomalous patterns of activity. Responsibilities: Collaborate with subject matter experts, team leads, and third-party vendors to define new features and functions for automation, aiding investigators in extracting meaningful information about a target and their surrounding network. Design, code, test, and document data science microservices primarily in Python. Support the integration of disparate bulk data sources into a unified database. Develop and optimize graph traversal queries and analytic pipelines to support analyst use cases, ensuring smooth transition from development to test and production environments. Extract valuable information from unstructured text, including SAR narratives and web scraped data related to cryptocurrency addresses and actors. Generate synthetic data for testing and development environments, as well as for the MM capstone training, adapting to evolving MM training and data holdings. Requirements Proficient in Python programming. Experience with graph traversal languages such as Gremlin, Cypher, or GraphML, along with expertise in network analytics, including centrality, community detection, link prediction, pattern recognition, and/or blockchain analytics. Strong SQL or other relational database query experience. In-depth knowledge of graph-structured data and analytics. Knowledge of GPS technology and its integration into analytical processes. Experience with cloud platforms, specifically Amazon Web Services (AWS). Familiarity with containerization platforms, including Docker and Kubernetes Bachelor's or advanced degree in Computer Science, Data Science, or a related field. 1-3 years' experience in a similar role Strong communication and collaboration skills. Ability to work in a dynamic and fast-paced environment. An active Top Secret clearance is required. Great To Have! ( Preferred) Familiarity with Natural Language Processing (NLP) techniques. Preferred Working knowledge of generative and agentic Artificial Intelligence models, usage, and training techniques. Preferred. Full-stack software engineering or development experience. Preferred. Expertise in blockchain architecture and cryptocurrency data analytics. Preferred. Understanding of machine learning algorithms and their application in cybersecurity analytics. Preferred

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Location: This position is a hybrid role based out of our Tampa, FL office. The current expectation is that we are in office two days each week (Tuesday-Wed), with extra additional days as required during the month. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as research scientists, health service researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other practices, applying the full scope of the firm's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Duties and Responsibilities: * Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets; * Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; * Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; * Identify, develop and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; * Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; * Serve as lead when working closely with Inovalon's Enterprise Data Management, Data Integration, MORE2 Registry, and iPORT+ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production data processes; * Troubleshoot complex production-related issues and coordinate successful resolution; * Assist with the evaluation of data analytic vendors and tools; * Maintain compliance with Inovalon's policies, procedures and mission statement; * Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; * Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; * Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and * We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: * 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and big data; * Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, SPSS, Stata, and/or MatLab; * Demonstrated problem solving, analytical reasoning and decision-making skills; * Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources; * Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; * Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; * Understanding of database management tools (e.g., Hadoop, Hive or MapReduce); * Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; * Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; * Ability to work under minimal supervision in a fast-paced multidisciplinary environment; * Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; * Superior customer service in the form of first-rate work product and project management; * Strong ability to manage challenging client situations; * Strong ability to troubleshoot and recommend solutions; and * Strong ability to translate complex information for a wide range of clients. Education: * Master's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience. Physical Demands and Work Environment: * Sedentary work (i.e. sitting for long periods of time); * Exerting up to 10 pounds of force occasionally and/or negligible amount of force; * Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; * Subject to inside environmental conditions; and * Travel for this position will include less than 5% locally usually for training purposes. Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $113,000-$140,000 USD This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

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

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.

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 ********************

Mindlance is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at ************************ Job Description Job Title: Big Data Lead Location: Tampa, FL Duration: Full Time Looking for a Developer / Support resource with experience in BigData technologies working in Financial area. Primary Skills: Experience in Database technologies & sound experience in handling & working with data Should be conversant with OOPs concepts , Java technologies, interfaces Should have good awareness of Linux / Unix technology and should be comfortable using commandline as well as complex Linux activities (Linux configurations) Should have good knowledge about operating Systems, networking , filesystem , database Experience on any of the Hadoop technologies. Experience on NOSQL databases like MongoDB, HDFS also an added plus. Experience in Hadoop Eco system components like Sqoop / Flume / Talend - BigData / Hive (any of them) Experience in Support environment Total Experience Range: 4yrs to 7yrs Soft Skills: Should be able to drive initiatives independently. Should be a Go Getter and independent. Pro-active, and have good communication skills to articulate technical issues, concepts in email and verbal forms. Should be independent and able to generate ideas & own initiatives Additional Information All your information will be kept confidential according to EEO guidelines.

Title: Sr. Data Scientist, Grid Analytics Company: Tampa Electric Company State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Hiring Manager: Lauren Zaluk Recruiter: Mark E Koener TITLE: Sr Data Scientist - Grid Analytics PERFORMANCE COACH: Director, Asset Management COMPANY: Tampa Electric DEPARTMENT: Asset Management POSITION CONCEPT: The Sr Data Scientist - Grid Analytics plays a critical role in achieving our safety, reliability, resilience and modernization goals for electric grid. Develops and applies advanced analytics, statistics, machine learning and domain-specific knowledge to transform complex utility data (smart meter, grid operational, geospatial and imagery) into actionable insights. Coordinates closely with the Manager, Asset Management Distribution to identify grid performance risks and advise on proactive mitigation of equipment, system and operational failures ensuring safety, compliance, reliability, performance, affordability and resilience of the electric grid. Develops the vision for grid analytics to provide comprehensive grid performance insights which bridge data engineering, operations, system planning, maintenance, engineering and other grid functions. Primary Duties and Responsibilities: Lead the development, implementation and operation of Analytics to monitor grid performance. Analytics will include the development and application of statistical and machine learning to detect, track and predict functional equipment and system failures in the distribution grid such as: Anomaly Detection utilizing multivariate statistical models and unsupervised learning algorithms, Time Series Analysis and Forecasting, Failure Mode Prediction utilizing classification models, Survival Analysis to estimate time to failure, Geospatial statistical analysis, Event Detection and Classification, Asset and system degradation modeling, causal inference to link asset failure with contributing factors, Statistical Process Control and others. Lead the development of analytics using Asset Management and formal reliability engineering to achieve safety, compliance, reliability, performance, affordability and resilience goals for the electric grid. These analytics support the prioritization of maintenance in distribution grid and measurement of the impact of maintenance, track prioritized backlog of grid maintenance, capital improvement and operational improvements for stakeholders. Lead the vision for analytics in the new Grid Diagnostic center collaborating closely with Technology (information and operational technology) department to develop data pipelines and architectures that support the acquisition, storage, and processing of large-scale grid data (e.g., SCADA, AMI, LiDAR, thermography, weather). This includes the geospatial acquisition of asset condition from patrols, Remote Sensing, the collection, processing and the application of Analytics on this data to inform work and operational changes. Lead the development of the analytics functions for Distribution grid models. This includes coordination with other electric system modeling stakeholders (Planning, DCC, DEO and others) to represent (computer model) the design/expected performance of the electric grid. The Sensing function is the establishment of requirements and the development of Sensing systems to measure the performance of the grid. This includes the communication, networking, storage and Analytics required to visualize the performance of the electric grid. Lead development of analytics for the support of Storm operations. This is a multi-year, multi-department roadmap to develop an improved estimation of expected damage, tracking of actual damage and outages in the grid, optimization of restoration, tracking of resources supporting restoration. Help define and execute the diagnostic center's data strategy, integrating statistical analysis and predictive modeling into grid reliability programs. Communicate and present to data science and utility operations teams, ensuring analytical outputs directly support operational objectives and reliability standards. Communicate findings and recommendations to grid owner/operators, senior leadership, regulatory stakeholders, aligning data-driven insights with business goals. Mentor others and foster a collaborative environment focused on innovation and technical rigor. SUPERVISION Indirect Supervision: May have indirect supervision of project and System governance teams. RELATIONSHIPS Key Internal: Asset Management, AAOS, DEO, DCC, ECC, Substation, Transmission operations and engineering (VP, directors, managers and program leads). Works with IT business relationship manager to prioritize a system portfolio roadmap and coordinate execution of the projects. IT and ES technical leads to develop and implement an effective technology plan. Key External: Consultants (Solution implementers, etc.), Contractors, Industry Associations, Vendors QUALIFICATIONS Education Required: Bachelor's degree in Engineering, Data Science, Applied Mathematics or Statistics. Preferred: Advanced degree (Master's or PhD) in data science, statistics, engineering and/or information systems representing a blend of data science and ability to apply data science to understand electric grid performance. Graduate course work in Machine Learning/AI, predictive modeling, time-series forecasting, power system reliability or risk analysis. Licenses/Certifications Preferred: Certified Analytics Professional, ESRI GIS Certification, Python for Data Science, Reliability related certification, etc. Experience Required: 7 years of progressive work experience data science, analytics, machine learning engineering, with at least 2 years in the utility, energy or related sector. Preferred: Electric utility engineering and operational, distribution grid asset experience with experience applying data science, analytics with interdisciplinary team of engineers, field operators and Information Technology teams. Knowledge/Skills/Abilities (KSA) Required: Broad knowledge and skills in Analytics and IT/OT system solutions (see preferred below) and a problem-solving mindset with a focus on actionable outcomes. Theability to explain technical findings to non-technical stakeholders and collaborate across operations, engineering and regulatory teams. Preferred: Knowledge of the following: Programming: Phyton, R, SQL. Tools/Platforms: Databricks, Azure, Snowflake. Data Handling: Extraction, Loading and Transformation (ETL), large dataset manipulation, cloud storage and processing, APIs. Visualization: Power BI, ESRI Geospatial Analysis Knowledge of statistical models (e.g., regression, time series forecasting, survival analysis, Bayesian methods) to detect patterns, estimate probabilities of failure, and quantify uncertainty in grid performance. Development of digital twins and grid simulations, using statistical models to calibrate, validate, and interpret electric grid behavior. Ability to apply hypothesis testing, anomaly detection, and probabilistic risk assessment techniques to evaluate system behavior and identify emerging reliability threats. Ability and strong knowledge of machine learning models (e.g., random forests, neural networks, gradient boosting) that complement statistical analysis for high-dimensional, multi-source grid data such as 3D LiDAR point cloud data and imagery. Ability to lead the design of model validation frameworks, ensuring robust, interpretable, and auditable outputs for operational decision-making. WORKING CONDITIONS Normal office environment. Occasionally required to work in an industrial environment. Travel within the Tampa Electric Service Area. #LI-SC1 TECO offers a competitive Benefits package!! Competitive Salary *401k Savings plan w/ company matching * Pension plan * Paid time off* Paid Holiday time * Medical, Prescription Drug, & Dental Coverage *Tuition Assistance Program * Employee Assistance Program * Wellness Programs * On-site Fitness Centers * Bonus Plan and more!

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.

The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. What You Will Do You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. Required Qualifications & Skills * 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion * Experience with a variety of GenAI models, tools, and concepts * 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL) * 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub * 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4 * Multiple years of experience with ELT/ETL data pipeline development and maintenance * Multiple years of shown experience and expertise using SQL and Python * Experience using containerization technologies such as Docker or Kubernetes * Knowledgeable on cloud architecture and product offerings, preferably AWS * Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms * Experience translating project scope and high-level requirements into technical data engineering tasks * Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes * Experience collaborating with multiple project teams in a fast-paced environment * Experience with defining and estimating level-of-effort data engineering activities * Experience with project and sprint planning * Ability to communicate technical concepts and solutions to non-technical team members * Experience designing and building data structures to support requirements * Preferred Qualifications * Experience leading development of GenAI based systems including model selection, pipeline orchestration and deployment strategies * Experience defining GenAI architectures * Knowledgeable with Disney Parks attendance, reservations and/or products * Experience with cloud based technologies, preferably AWS EMR, EC2, and S3 * Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace and Snowpipe Education * Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience * Master's degree preferred in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience #DisneyTech #DisneyAnalytics ********************** About The Walt Disney Company (Corporate): At Disney Corporate you can see how the businesses behind the Company's powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you'll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Worldwide Services, Inc., which is part of a business we call The Walt Disney Company (Corporate). Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

MaxHealth is seeking a highly skilled Data Platform Engineer (DBA) to join our data engineering team to modernize and optimize our data pipelines. The Data Platform Engineer (DBA) will be responsible for the management, optimization, modernization, and governance of our enterprise data warehouse. This role requires strong technical expertise in Azure Data Factory (ADF)/Fabric/or other similar technologies, SQL Server Integration Services (SSIS), SQL Server, and modern BI platforms (Domo and Power BI) Location- Hybrid/Tampa 1099 Contractor- Starting salary $110,000 annum based on experience This is a 6-month assignment with the possibility of opportunity for extension into a permanent position. Key Responsibilities Modernization & Optimization · Partner with IT leadership and data engineering teams to design and implement a modernized, scalable, and cloud-ready data platform. · Design, develop, and maintain modernized ETL pipelines using Azure Data Factory, Fabric, Databricks and/or SSIS to integrate multiple data sources into the enterprise data warehouse. · Recommend and implement improvements to ETL processes, storage, indexing strategies, and query performance. · Explore and adopt automation tools, monitoring systems, and DevOps practices for database operations. · Support migration strategies from legacy systems to cloud or hybrid architectures. · Optimize and refine existing ETL processes to improve performance, scalability, and maintainability. Database Administration & Operations · Oversee the daily management of the SQL data warehouse, ensuring high availability, security, and optimal performance. · Implement and maintain backup, recovery, and disaster recovery strategies. · Monitor database performance and tune queries, indexes, and structures to maximize efficiency. · Manage user access, roles, and permissions to uphold least-privilege security standards. · Maintain documentation for database structures, configurations, and procedures. · Design, build, and maintain ETL/ELT processes across SQL Agent jobs, stored procedures, and SSIS packages & optimize existing ETL processes for performance and reliability. Governance & Controls · Implement data quality checks, error handling, and monitoring to ensure accurate and consistent data flows. · Adopt DevOps/DataOps practices for automation, monitoring, and repeatable deployments. · Establish and enforce data management policies, including auditing, logging, and compliance monitoring. · Ensure adherence to HIPAA, HITRUST, and other healthcare data security requirements. · Implement robust change management processes for database updates, schema changes, and production deployments. · Utilize a code repository (Git or similar) to manage, version, and document ETL code. · Work closely with Finance, Clinical, and Analytics teams to ensure data pipelines and reporting processes are accurate, consistent, and reliable. Collaboration & Support · Partner with business intelligence (BI) and analytics teams to ensure data is structured and accessible for actionable reporting. · Work with application developers to optimize integration with downstream applications and operational systems. · Provide advanced support for ETL & database-related incidents, outages, and service requests. · issues, perform root cause analysis, and implement preventive measures. Job Qualifications · Bachelor's degree in Computer Science, Information Systems, or a related field; or equivalent experience. · 5+ years of experience as a DBA in a large-scale SQL environment · 5+ years of experience in data engineering or data platform roles with expertise in ETL/ELT pipeline development and orchestration. · Proven experiencing managing workloads in cloud native data management platforms, preferably in Azure (Azure Synapse, Microsoft Fabric, Databricks, Data Factory, or market equivalents such as Snowflake, BigQuery, Redshift, dbt, or Airflow). · Strong knowledge of T-SQL, stored procedures, indexing strategies, and performance tuning. · Experience with ETL processes, data warehouse management, and BI/reporting environments. · Proven track record of implementing controls, monitoring systems, and compliance frameworks. · Deep understanding of data security, governance, and regulatory compliance (HIPAA, HITRUST, SOC2, etc.). Preferred Skills · Experience with cloud database platforms (preferred Azure SQL, Snowflake, etc.). · Exposure to data warehouse modernization initiatives and architecture redesigns. · Familiarity with data cataloging and governance platforms and practices (e.g., Purview, Collibra, or Alation). · Knowledge of automation tools (Ansible, Terraform, Liquibase, etc.) and DevOps practices. · Familiarity with healthcare data standards (HL7, FHIR, claims/EMR data). · Professional certifications such as Microsoft Certified: Azure Database Administrator Associate, AWS Certified Database - Specialty, or equivalent. ABOUT MAXHEALTH MaxHealth is dedicated to simplifying healthcare and ensuring healthier futures. Founded in 2015, MaxHealth is a leading primary care platform focused on providing high-quality, integrated care to adults and senior patients throughout Florida. We provide care for more than 120,000 patients, most of which are beneficiaries of government-sponsored healthcare programs like Medicare, or of health plans purchased on the Affordable Care Act exchange marketplace. MaxHealth is a rapidly growing medical practice with more than 50 clinics spread across central and southern Florida. MaxHealth also partners with independent providers who are like-minded and utilizes its platform to help them provide high-quality care. We are customer-centered; compassionate; results-driven; proactive; collaborative; and adaptable in executing our vision to help patients live their best lives. Our mission is to deliver quality care, a simplified experience, and happiness. One patient at a time. #IND123

Slide Insurance - Fun. Innovation Driven. Fueled by Passion, Purpose and Technology. At Slide, you will not only be part of a successful team, but you will also be a part of our Slide Vibe/award winning culture where collaboration and innovation are expected, recognized and awarded! What you will be doing: Design, develop, and optimize robust ETL/ELT pipelines for ingesting data from internal systems (policy, claims, billing) and external sources when applicable. Evaluate and integrate emerging technologies and tools to improve data engineering capabilities and performance. Design and manage modern data platforms (e.g., cloud-based data lakes or warehouses) to support real-time and batch processing use cases. Ensure data quality, integrity, and lineage by implementing rigorous validation and monitoring frameworks. Collaborate with data scientists, analysts, and business stakeholders to translate insurance-specific needs into scalable data solutions. Support data governance efforts by developing and maintaining documentation, metadata, and data dictionaries. Monitor individual and team performance, providing ongoing feedback and coaching to continuously improve results. Mentor junior engineers and contribute to setting data engineering best practices across the organization. Serve as the primary liaison between business and IT to ensure quality data and alignment. Perform other duties as assigned. What you have: Education, Experience, and Licensing: Bachelor's degree in computer science, Information Technology, Engineering, or related field. Minimum 6 years' experience in data engineering required. 2+ years of experience with Databricks and related technologies (Azure Data Factory, MS SQL Server, etc.). 2+ years' experience in the financial services industry preferred. Certificate in SQL BI/EDW preferred. Qualifications/Skills and Competencies: Advanced proficiency in Databricks, SQL, Python, and distributed data processing (e.g., Spark, Kafka). Strong ability in designing data models and working with cloud platforms (e.g., AWS, Azure, GCP). Strong understanding of insurance data domains: policy, claims, billing, reinsurance, and regulatory reporting. Familiarity with data governance, privacy, and compliance standards (e.g., NAIC, GDPR). Effective research, problem solving, analytical, critical thinking, influencing, and relationship management skills necessary. Ability to excel in a fast-paced environment. Excellent interpersonal skills with the ability to professionally interact with team members across departments. Strong written and verbal communication skills with the ability to professionally interact with team members in other departments. Exceptional time management skills with ability to prioritize tasks and allocate resources efficiently. Proven ability to be adaptable and flexible; able to adjust to new requirements or unforeseen issues. Proficient in MSO/365 applications such as Microsoft Teams, SharePoint, Word, Excel, PowerPoint, and Outlook. Desire to live Slide's Core Values. What Slide offers to you: The Slide Vibe - An opportunity to be a part of a fun and innovation-driven culture fueled by Passion, Purpose and Technology! Slide offers many opportunities to collaborate and innovate across the company and departments, as well as get to know other Sliders. From coffee chats, to clubs, to social events - we plan it, so all Sliders feel included and Enjoy their Journey. Benefits - Created using Slider feedback, Slide offers a comprehensive and affordable benefits package to cover all aspects of health...Physical, Emotional, Financial, Social and Professional. A Lifestyle Spending Account is set up for each Slider and Slide contributes to it monthly for use on any benefit that individually suits you - Health Your Way! 2023, 2024 & 2025 BEST PLACE TO WORK - Tampa Bay Business Journal 2024 & 2025 TOP WORKPLACE - Tampa Bay Times (Local) & 2024 TOP WORKPLACE - USA Today (National)

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.

Location: This position is a hybrid role based out of our Tampa, FL office. The current expectation is that we are in office two days each week (Tuesday-Wed), with extra additional days as required during the month. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as research scientists, health service researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other practices, applying the full scope of the firm's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Duties and Responsibilities: Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets; Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; Identify, develop and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; Serve as lead when working closely with Inovalon's Enterprise Data Management, Data Integration, MORE2 Registry , and iPORT+™ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production data processes; Troubleshoot complex production-related issues and coordinate successful resolution; Assist with the evaluation of data analytic vendors and tools; Maintain compliance with Inovalon's policies, procedures and mission statement; Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and big data; Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, SPSS, Stata, and/or MatLab; Demonstrated problem solving, analytical reasoning and decision-making skills; Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources; Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; Understanding of database management tools (e.g., Hadoop, Hive or MapReduce); Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; Ability to work under minimal supervision in a fast-paced multidisciplinary environment; Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; Superior customer service in the form of first-rate work product and project management; Strong ability to manage challenging client situations; Strong ability to troubleshoot and recommend solutions; and Strong ability to translate complex information for a wide range of clients. Education: Master's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience. Physical Demands and Work Environment: Sedentary work (i.e. sitting for long periods of time); Exerting up to 10 pounds of force occasionally and/or negligible amount of force; Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; Subject to inside environmental conditions; and Travel for this position will include less than 5% locally usually for training purposes.