Data science internship jobs in Gainesville, FL

On-Site: Locations - Tampa FL, Arcadia WI (GC/USC Only) Senior EDI Coordinator Senior EDI Coordinators create new and update existing EDI maps to support the movement of thousands of transactions each day, setup and maintain EDI trading partners, setup and maintain EDI communication configurations, and provide support for a large assortment of EDI transactions with variety of trading partners. Primary Job Functions: Monitor inbound and outbound transaction processing to ensure successful delivery. Take corrective action on those transactions that are not successful. Develop and modify EDI translation maps according to Business Requirements Documents and EDI Specifications. Perform unit testing and coordinate integrated testing with internal and external parties. Perform map reviews to ensure new maps and map changes comply with requirements and standards. Prepare, maintain, and review documentation. This includes Mapping Documents, Standard Operating Procedures, and System Documentation. Perform Trading Partner setup, configuration, and administrative activities. Analyze and troubleshoot connectivity, mapping, and data issues. Provide support to our business partners and external parties. Participate in an after-hours on-call rotation. Setup and maintain EDI communication channels. Provide coaching and mentoring to EDI Coordinators. Suggest EDI best practices and opportunities for improvement. Maintain and update AS2 Certificates. Deploy map changes to production. Perform EDI system maintenance and upgrades. Job Qualifications: Education: Bachelor's Degree in Information Systems, Computer Science, or other related fields; or equivalent combination of education and experience, Required Experience: 5+ years of practical EDI mapping experience, with emphasis in ANSI X.12, Required Experience working with XML and JSON transactions, Preferred Experience working with AS2, VAN, and sFTP communications, Preferred Experience working with AS2 Certificates, Preferred Experience with Azure DevOps Agile/Scrum platform, Preferred Experience in large, complex enterprise environments, Preferred Knowledge, Skills and Abilities: Advanced analytical and problem-solving skills Strong attention to detail Excellent written and verbal communication skills Excellent client facing and interpersonal skills Effective time management and organizational skills Work independently as well as in a team environment Handle multiple projects simultaneously within established time constraints Perform under strong demands in a fast-paced environment Display empathy, understanding and patience with employees and external customers Respond professionally in situations with difficult employee/vendor/customer issues or inquiries Working knowledge of Continuous Improvement methodologies Strong working knowledge of Microsoft Office Suite

Tremendous opportunity for a GIS Analyst to join a stable company making big strides in their industry. This is focused on the engineering side of the business! You will be able to gain experience in this critical technical role in the creation and support of critical feature data. You will answer ongoing questions and inquiries, generate new geospatial data, and provide flexible GIS service. Regular inventory analysis showing counts, mileage, and measurements of the system is anticipated. You will also directly perform geospatial data preparation and assemblage tasks.This technical role requires that you have a broad geographic understanding, the ability to correctly interpret geometrics and feature placement information received from the field, and a general understanding of the installation and maintenance activities undertaken by the Engineering Department sub-groups. Responsibilities: Perform and be responsible for the creation, modification, and quality control of essential geospatial infrastructure data for company wide use for a variety of critical applications, including the analysis and assembly of geospatial data utilized to assist PTC compliance. Utilize their practical knowledge to ensure field generated spatial data from various sources is properly converted into a functioning theoretical digital network compliant with the database and data model standards established for systems. Authorized to perform quality control checks, accept, and promote geospatial data change sets that are produced by the Geospatial Data Group's CADD technicians. Utilize a variety of GIS software tools to perform topology corrections and make geometric modification as part of the data quality review and acceptance process. Called upon to work with other involved groups and departments in a collaborative manner to fully utilize the technical skill sets of the Geospatial Data Group toward the Enterprise GIS goals. Assist the Sr. Geospatial Data Analyst with assorted GIS responsibilities as required per business needs. Leverage the company's investment in geospatial technology to generate value and identify cost savings using GIS technology. This is a 12 month contract position working out of our office in Midtown Atlanta 4 Days a week with 1 day remote. Our new office is state of the art with many amenities (gym, coffee shop, cafeteria, etc.) and paid parking. This is an excellent opportunity to work within an enterprise environment and an outstanding work-life balance. REQUIRED: 3+ years experience working with Data in a GIS environment Strong Communication skills, presenting and working across org. departments Experience with ESRI Suite (ArcGIS) Experience with data editing and spatial analysis Bachelor degree in GIS or similar (computer science, SW engineering, IT, etc.) PREFERRED: TFS Esri JavaScript API ArcGIS online and ArcGIS pro Experience with relational databases Experience with database queries (basic queries) SQL Must be authorized to work in the U.S./ Sponsorships are not available

Heirloom Fair Legal is a specialist legal financer, providing financing to law firms, claimants, and their service providers to promote access to justice for consumer and small-business legal claims in the UK. Based in London and with offices in Manchester and Warrington in England, we are expanding to the US with a new Palm Beach, FL office. Role Description This is a full-time hybrid role for a Financial Data Analyst, located in Palm Beach, FL, with opportunities for remote work. The Financial Data Analyst is responsible for our portfolio and reporting system. This tracks our financings to or via approximately 20 law firms or service providers, tracking approximately 350,000 pieces of underlying collateral. We are developing a new system based on SQL and Python with an as-yet unselected ETL/Business Intelligence layer. This role will be responsible for leading the buildout / design of this new system, migrating data over, and leading the system for data cleansing and ingestion. It will also be responsible for generating regular reporting for HFL's Investment Committee, external investors and other stakeholders. Qualifications Strong Analytical Skills and proficiency in Data Analytics Experience with SQL, Python and ETL or Business Intelligence tools Proficiency in generating reports using data visualization and similar tools Ability to work independently, balancing multiple priorities and to deadline Strong problem-solving skills and critical thinking capabilities Bachelor's degree in Finance, Economics, Data Analytics, or a related field Prior experience in the legal finance or investment industry is a plus

Responsibilities: Provide project planning and coordination for Privacy Impact Assessments Design and implement privacy requirements into key processes and tools across the enterprise Define, Implement, and operate Data Ethics Governance Process Develop, monitor, and report privacy metrics Requirements: 1.Banking or financial services experience 2. Five years of experience or an equivalent combination of education and work experience involving the following: -- Enforcing TCPA, CPRA, GLBA, and CAN-SPAM requirements. --Designing and executing risk assessments. Nice to have: 1.Experience managing project scope and timelines 2. Experience creating dashboards using Qlik or Tableau 3. Exeperience creating workflow and digital forms using Nintex

Hybrid - Tues & Wed On-site in Lake Mary, FL Brooksource is looking for a detail-oriented and dedicated individual to support our Specialty Pharmacy Distribution client and support their Customer Master domain. This person will be responsible for working with client accounts and updating/maintaining as needed. Responsibilities: Accurately enter and update customer data in the SAP system. Maintain and manage customer master data, ensuring data integrity and consistency. Verify and validate data entries for accuracy and completeness. Collaborate with cross-functional teams to resolve data discrepancies and ensure timely updates. Generate and analyze reports to identify and correct data issues. Assist in the development and implementation of data entry procedures and guidelines. Provide support for data migration and integration projects. Ensure compliance with company policies and data management standards. Qualifications: High school diploma or equivalent; additional certification in data entry or related field is a plus. Proven experience in data entry, preferably within the SAP environment. Familiarity with Customer Master data management. Strong attention to detail and accuracy. Excellent organizational and time management skills. Proficient in Microsoft Office Suite (Excel, Word, Outlook). Ability to work independently and as part of a team. Strong communication skills, both written and verbal. Preferred Skills: Experience with SAP modules related to Customer Master data. Knowledge of data governance and data quality principles. Ability to troubleshoot and resolve data-related issues.

**This role is only available in Boca Raton, FL. Please only apply if you're within a commutable distance to Boca. ** We are seeking a highly analytical and detail-oriented Data Analyst to join our team. This position offers high visibility and the opportunity to directly impact business strategy, marketing performance, and operational efficiency. Reporting to the firm's owners and managing partners, the Data Analyst will transform raw data into actionable insights that support decision-making across departments including case management, marketing, and operations. Key Responsibilities · Collect, organize, and analyze data from multiple firm systems (CRM, case management, marketing platforms, and financial systems). · Develop and maintain dashboards, reports, and KPIs to monitor performance and identify trends. · Present data insights and recommendations to firm leadership in a clear and actionable manner. · Partner with management and department leads to identify opportunities for process improvement through data. · Support forecasting, budgeting, and strategic planning initiatives. · Ensure data accuracy, integrity, and consistency across systems. · Assist in developing automation and reporting processes to streamline data workflows. Qualifications · Bachelor's degree in Data Analytics, Statistics, Business, Finance, or a related field. · 2-5 years of experience as a Data Analyst, preferably in a professional services or law firm environment. · Proficient in data visualization and reporting tools (e.g., Power BI, Tableau, or similar). · Strong proficiency in Excel and comfort with database querying (SQL preferred). · Excellent analytical, critical thinking, and problem-solving skills. · Strong communication skills-able to translate complex data into clear insights for non-technical stakeholders. · Highly organized and detail-oriented with the ability to manage multiple priorities. Why Join Demand The Limits · Direct exposure to firm leadership and a meaningful role in shaping data-driven strategy. · A collaborative, entrepreneurial culture where your ideas and insights make a tangible impact. · Competitive compensation package with discretionary bonuses based on performance. · Opportunities for growth as the firm continues to expand. Compensation: Salary range: $70,000 - $83,000 annually, commensurate with experience, plus performance-based bonuses. Location: Boca Raton, FL (Limited hybrid flexibility may be considered for the right candidate)

Sanford Rose JFSPartners is currently looking for a Data Quality Analyst for a full-time opportunity in Orlando. Qualified candidates will participate in the full data quality lifecycle from requirement gathering through ongoing support. The candidate selected for this role will develop technical components that meet the business/functional requirements or from logged data incidents. RESPONSIBILITIES: Develop technical specifications that demonstrate how data quality will be preserved/enforced. Work with the BA team to generate data to power quality dashboards, which allow both data providers and data consumers to monitor data quality. Contribute to business/technical definitions of data objects within the data catalogue. Serve as an SME for multiple data domains. Assist business users in the selection, understanding and use of data. Perform UAT on data sets as part of data ingestion, egress, transformation and rule execution. REQUIRED TECHNICAL SKILLS: Strong understanding of data structures, data types, and data transformation. Ability to perform complex data mappings, workflows and sessions. Experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx. Expertise in reading, analyzing and debugging SQL. Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ. At Sanford Rose Associates - JFSPartners, we specialize in Finance & Accounting, Legal, and Information Technology recruitment, dedicated to helping professionals like you discover the perfect career opportunities. With a track record of assisting thousands of professionals nationwide, we are prepared to leverage our expertise on your behalf. Partnering with us means gaining access to serious candidates, minimizing hiring errors, and ensuring top-tier hires, all while navigating the hiring process with confidence. We understand the significance of finding the ideal role and aligning with an organization that shares your values.

Log-Net, Inc provides the finest trade, transportation, and logistics information technology systems via the internet. We currently have a unique opportunity in the areas of international logistics process improvement and trading partner management. Your primary roles would be to support the ongoing deployment of a global logistics solutions and to facilitate the management of all supplier interfaces between our clients, including coordinating and monitoring activity with the trading partners, managing the EDI processes, ensuring quality control standards are maintained and setting and maintaining agreed upon service level of standards. If you enjoy a challenging and fast paced demanding environment with customer interaction, we invite you to take a closer look at this opportunity. Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Being the point of contact for EDI and reporting around EDI Successfully onboard and be the point of contact for new trade partners into LOG-NET Compile and analyze data related to business EDI issues Be able to fully understand LOG-NET's platform and the capabilities of it Conducting analysis, presentations, and reports on the supply chain outlook. Developing carrier scorecard reports and analysis. Integrated logistics communication with trade partners and carriers. Coordinating client problem solving and troubleshooting. Self-starter, technical aptitude with an attitude towards learning Qualifications Bachelor's or Master's degree in Logistics, Supply Chain, Statistics, Applied Mathematics, Physics or equivalent experience preferred EDI or API integration experience preferred 0-1 years of Analytical experience Experience with data analytics, SQL, Big Query preferred Experience in international supply chain preferred Authorization to work in the United States is required for this position SALARY RANGE: USD 50,000-70,000

We are seeking a highly skilled GIS Data Analyst to support the creation, maintenance, and quality assurance of critical geospatial infrastructure data for enterprise-level Engineering initiatives. This role plays a key part in ensuring the accuracy and reliability of GIS data used across the organization - including compliance-related programs and operational analytics. The ideal candidate is a hands-on GIS professional with strong analytical skills, advanced geospatial editing experience, and the ability to interpret field data into accurate digital representations. PTC (Positive Train Control) and rail experience are preferred but not required. Key Responsibilities Create, modify, and quality-check geospatial infrastructure data for engineering and business operations Utilize GIS tools to ensure accurate topology and track geometry representation Convert field-collected spatial data into a validated digital rail network aligned with organizational standards Review, approve, and promote data change sets submitted by GIS/CAD technicians Conduct regular inventory analysis including track mileage, asset counts, and spatial measurements Collaborate with engineering sub-groups and business partners to support enterprise GIS initiatives Contribute to the preparation, assembly, and deployment of geospatial data to support compliance programs and corporate systems Support continuous improvement by recommending cost-saving initiatives leveraging GIS technologies Assist senior GIS staff in additional GIS responsibilities as needed Required Skills & Qualifications Advanced proficiency with GIS software, ideally ESRI tools (ArcGIS Pro, Desktop, geodatabase editing, topology management) Strong analytical, problem-solving, and data quality assurance capabilities Ability to interpret engineering drawings, field data, and spatial reference materials Familiarity working with infrastructure or utility network datasets Excellent communication and collaboration skills Bachelor's degree required - GIS, Computer Science, Software Engineering, IT, Geography, or related Preferred Qualifications (Nice to Have) Exposure to railroad infrastructure or linear transportation networks Experience supporting Positive Train Control (PTC) data models or compliance initiatives Working knowledge of CAD-to-GIS workflows Experience with Enterprise GIS deployments in large-scale organizations Soft Skills Detail-oriented data stewardship mindset Ability to make informed decisions and manage competing priorities Strong teamwork and communication in a technical environment

Required Skills & Experience 5+ years in data analytics Advanced SQL skills Experience building business strategy from data findings Collaborate with internal and external partners to implement recommendations Utilize statistical techniques to evaluate strategy performance Nice to Have Skills & Experience Banking experience Collections & recovery experience Job Description We are hiring for a Strategy Data Analyst to join one of our financial clients working in Consumer & Small Business Collections & Recovery Strategy department. The ideal individual should have a deep understanding of data analysis and have the ability to develop SQL code to extract statistical & financial data across databases. The goal of this role is to analyze data on delinquent customers to identify the most likely channels to reach the customer & payment recovery offer the bank should propose.

WFA Cross Media Measurement Initiative Miami, FL / On Site Kantar Media has won the contract to build a new Cross-Media Measurement panel in the United States, one of the first of its kind in the world. We are looking for forward-thinking, analytical, and detail-oriented professionals to join our team and help transform the way advertisers understand audiences. The Media Division at Kantar are experts in decoding the evolving media landscape. Our Audience Measurement teams are developing innovative ways to quantify how people consume media across platforms, from streaming services to broadcast TV. This new U.S. panel represents the future of measurement, integrating the latest technologies, partnerships with global platforms (including Google and Meta), and cutting-edge data visualization. Kantar is the world's leading data, insights, and consulting company. We understand more about how people think, feel, shop, share, vote, and view than anyone else. Combining deep human insight with advanced analytics, Kantar's 25,000 employees in over 100 countries help the world's leading organizations succeed and grow. Nobody knows people better than Kantar. This is your opportunity to be part of something genuinely transformative. Job Details Our Data Analyst will play a key role in ensuring the accuracy, consistency, and insightfulness of data used across the Cross-Media Measurement initiative. You will clean, structure, and analyze panel and operational data, create dashboards and reports, and provide data-driven insights to stakeholders across Operations, Product, and Client Services. This is a hands-on analytical role that combines strong technical skills with business acumen and storytelling ability. You will help ensure our metrics are not only accurate but actionable, turning raw data into meaningful insights that drive decisions. Tasks & Responsibilities Clean, validate, and structure raw panel and operational datasets for reporting and analysis. Develop and maintain Excel dashboards, Power BI reports, and Power Apps solutions that streamline data entry, tracking, and visualization workflows. Build and manage Power Apps used by operations teams for data capture, process automation, and reporting integration. Identify data anomalies, trends, and root causes of issues that impact panel performance or data quality. Partner with Operations and Technology teams to ensure data integrity and proper data flow across systems. Automate routine reporting processes and improve efficiency in data collection and transformation. Support leadership with ad-hoc analysis, visualizations, and performance summaries to inform strategic decisions. Collaborate cross-functionally to design and implement new KPIs and data views aligned with project goals. Ensure compliance with data governance standards and documentation best practices. Contribute to continuous improvement initiatives through data insights and analytics innovation. The Skills & Experience Needed A minimum of one year of professional experience using Excel, Power BI, and Power Apps is required. Strong proficiency in Microsoft Excel (pivot tables, advanced formulas, Power Query, VBA desirable). Experience with Power BI, building dashboards, data models, and visual reports from multiple data sources. Hands-on experience with Microsoft Power Apps, including building and maintaining low-code applications, automating workflows, and integrating with Power BI and SharePoint. Proven analytical and problem-solving skills with exceptional attention to detail and accuracy. Solid understanding of data structures, quality assurance, and basic statistical concepts. Ability to interpret complex datasets and communicate findings in a clear, concise, and actionable way. Experience working with large operational or media datasets preferred. Knowledge of SQL, Python, or similar data manipulation tools is a plus (but not required). Strong organizational and time management skills, able to prioritize and deliver under tight deadlines. Excellent collaboration skills, comfortable working cross-functionally in a dynamic, fast-paced environment. Fluent English essential; Spanish desirable.

Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Financial Data Analyst at Alpharetta , GA . Role : Financial Data Analyst Location : Alpharetta , GA 30005 / 3 days from Office Hiring Type: Fulltime with Genpact + Benefits Responsibilities Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in a fast-paced, Agile environment. Translate business needs and product strategy into detailed requirements and user stories. Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to internal and external financial datasets. Partner with data engineering teams to ensure reliable data ingestion, transformation, and availability for analytics and AI models. Evaluate and work to onboard new data sources, ensuring accuracy, consistency, and completeness of fundamental and financial data. Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms. Monitor and analyze product performance post-launch to drive ongoing optimization and inform future investments. Facilitate alignment across stakeholders, including engineering, research, analytics, and business partners, ensuring clear communication and prioritization. Minimum qualifications Bachelor's degree in Computer Science, Finance, or related discipline. MBA/Master's Degree desired. 5+ years of experience in a similar role Strong understanding of fundamental and financial datasets, including company financials, market data, and research data. Proven experience in data integration, particularly using APIs, data connectors, or ETL frameworks to enable AI or analytics use cases. Familiarity with AI/ML data pipelines, model lifecycle, and related tooling. Experience working with cross-functional teams in an Agile environment. Strong analytical, problem-solving, and communication skills with the ability to translate complex concepts into actionable insights. Prior experience in financial services, investment banking, or research domains. Excellent organizational and stakeholder management abilities with a track record of delivering data-driven products. Preferred qualifications Deep understanding of Python, SQL, or similar scripting languages Knowledge of cloud data platforms (AWS, GCP, or Azure) and modern data architectures (data lakes, warehouses, streaming) Familiarity with AI/ML platforms Understanding of data governance, metadata management, and data security best practices in financial environments. Experience with API standards (REST, GraphQL) and data integration frameworks. Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives. Why join Genpact? • Lead AI-first transformation - Build and scale AI solutions that redefine industries • Make an impact - Drive change for global enterprises and solve business challenges that matter • Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills • Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace • Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything webuild • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

We're looking for a detail-oriented Junior Data Analyst to support survey administration and data management for university-wide projects. This role involves working with institutional databases, preparing reports, and ensuring data accuracy to help drive informed decisions. Key Responsibilities Administer and process internal and external surveys. Collect, clean, and organize data from student, faculty, and staff records. Maintain accurate logs of reports and deadlines. Prepare dashboards and assist with KPI tracking. Collaborate with departments to ensure data consistency and integrity. Support the development of forms, questionnaires, and institutional reports. Assist with special projects and events as needed. Required Skills Strong analytical and data management skills. Proficiency in databases, spreadsheets, and reporting tools. Familiarity with data visualization best practices. Ability to work independently and meet deadlines. Excellent communication and organizational skills. High attention to detail and confidentiality. Preferred Experience Knowledge of survey administration and data collection techniques. Experience with educational software (e.g., Jenzabar) is a plus. Bachelor's degree in a related field.

Responsible for implementing the day-to-day needs of the data governance and data quality program. Participate in recommending and implementing policies and procedures for data governance approved by the Data Governance council and Data Governance team. Identify data quality opportunities and drive compliance with data governance and quality initiatives. Ensure data governance opportunities are identified and addressed throughout the project life cycle. Job Specific Responsibilities and Preferred Qualifications Preferred Qualifications - Remote East Coast Role Strong expertise in SQL with the ability to write, optimize, and troubleshoot complex queries for data extraction, analysis, and reporting. Proficiency in creating, testing, and troubleshooting regular expressions (Regex) for text parsing, validation, and pattern-based data manipulation. Experience with eCommerce analytics, including analyzing performance metrics and delivering actionable insights to improve business outcomes. Hands-on experience with data visualization tools (e.g., Tableau, Adobe Analytics) and preparing clear reports and presentations for leadership and cross-functional teams. Familiarity with cloud-based data platforms such as Snowflake, AWS Redshift, or Google BigQuery; Python for data manipulation and automation is a plus. Demonstrated ability to support data governance initiatives by applying policies, standards, and dashboards to monitor and improve data quality. Strong analytical and problem-solving skills with exceptional attention to detail, accuracy, and data integrity. Major Tasks, Responsibilities, and Key Accountabilities Participates in the execution and implementation of approved data definitions, policies, standards, process data access, and dashboard statistics. Supports requests to change configurations, use, or design of data elements for specific area of influence. Conducts testing and user acceptance of new system functionality. Analyzes and identifies data sources, data, redundancy, and implements processes to remediate data issues and /or data clean-up efforts. Supports governance principles, policies, and stewardship within the business. Assists in the development and distribution of data quality dashboard. Scopes, resources, and manages data quality initiatives. Participates in the review of all system enhancements and new technologies for data needs, use, and redundancies. Nature and Scope Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data. Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process. May provide general guidance/direction to or train junior level support or professional personnel. Work Environment Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds). Typically requires overnight travel less than 10% of the time. Education and Experience Typically requires BS/BA in a related discipline. Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field. Certification is required in some areas.

We are looking for a Data Scientist with expertise in optimization and forecasting to help improve how we manage labor, staffing, and operational resources across our retail locations. This role is critical in building models and decision-support tools that ensure the right people, in the right place, at the right time - balancing customer service, efficiency, and cost. You will work closely with Operations, Finance, and Store Leadership teams to deliver practical solutions that improve labor planning, scheduling, and demand forecasting. The right candidate will be confident, resourceful, and excited to own both the technical and business-facing aspects of applying data science in a fast-paced retail environment. Responsibilities Build and maintain forecasting models (time-series, machine learning, and statistical) for sales and transactions. Develop and deploy optimization models (linear/mixed-integer programming, heuristics, simulation) to improve workforce scheduling and labor allocation. Partner with operations and finance to translate forecasts into actionable staffing and labor plans that reduce costs while maintaining service levels. Build dashboards and automated tools to track forecast accuracy, labor KPIs, and staffing effectiveness. Provide insights and “what-if” scenario modeling to support strategic workforce and budget planning. Knowledge, Skills, And Abilities Strong foundation in forecasting techniques (time-series models, regression, machine learning) and optimization methods (linear/mixed-integer programming, heuristics, simulation). Proficiency in Python or R for modeling and analysis, along with strong SQL skills for working with large-scale datasets. Knowledge of statistics, probability, and applied mathematics to support predictive and prescriptive modeling. Experience building and deploying predictive models, optimization tools, and decision-support solutions that drive measurable business outcomes. Strong data storytelling and visualization skills using tools such as Power BI, Tableau, or Looker. Ability to translate analytical outputs into clear, actionable recommendations for non-technical stakeholders. Strong collaboration skills with the ability to partner cross-functionally with Operations, Finance, and Store Leadership to drive adoption of data-driven approaches. Ability to work independently and resourcefully, combining technical depth with practical problem-solving to deliver results in a fast-paced environment. Education And Requirements Required: Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Industrial Engineering, Operations Research, or related field. Minimum 2-3 years of professional experience in Data Science or a related area. Strong skills in time-series forecasting (e.g., ARIMA, Prophet, ML-based approaches). Proficiency in optimization techniques (linear programming, integer programming). Strong Python or R programming skills. SQL expertise for large, complex datasets. Strong communication skills with the ability to partner with business stakeholders. Preferred Experience in Retail, Restaurant, and/or Convenience Stores a plus. Experience with cloud platforms (Snowflake, AWS, GCP, Azure). Knowledge of BI tools (Tableau, Power BI, Looker). Physical Requirements Prolonged periods sitting/standing at a desk and working on a computer Must be able to lift up to 50 pounds Parker's is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Parker's does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state, or local laws.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

JEA is seeking students for our paid 2026 summer Internship - Data Analyst. Students selected to participate in our Internship Program will have an opportunity to gain real world, on-the-job experience, and network with business professionals to develop valuable leadership, professional etiquette and presentation skills. As a Data Analyst Intern, you will explore how data drives key decisions that ensure safe, reliable, and sustainable utility services. Your work may involve evaluating operational trends, supporting infrastructure planning, analyzing customer usage patterns, or contributing to energy and water efficiency initiatives. You'll play an important role in projects that help improve system performance and support our mission to serve the community. Must Meet Minimum Qualifications: * Education: Rising sophomore, junior, or senior pursuing a bachelor's degree in one of the following preferred fields: * Data Science * Computer Science * Mathematics * Statistics * Social Science Research * GPA Requirement: Cumulative GPA of 3.0 or higher. Applicants must submit a transcript to verify GPA. * Work Availability: Must be available to work a 32-hour work week throughout the internship.

Voloridge Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We develop advanced tools to deliver predictive, personalized insights to empower individuals and organizations to make data-driven decisions, promoting longer, healthier lives. Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its sister company, Voloridge Investment Management, as an award-winning quantitative hedge fund. We are seeking a highly motivated Data Analyst Intern to research and analyze health data and assist in preparing and manipulating it as critical inputs and outputs of our predictive modeling processes. This individual will have the opportunity to employ techniques developed in the classroom and experience the daily challenges of a health data analyst. Summary of Job Functions * Assist with organization and documentation of key input datasets * Develop customer-facing visualizations of analytic data output * Extract and compile data from publicly available research sources Minimum Requirements * Completion of at least two year of an undergraduate or graduate degree program in STEM or equivalent field of study * Proficient in Excel * Basic knowledge of data analysis methods * Experience working with data in a health sciences or related field * Ability to work onsite in our Jupiter, Florida office (not a remote role) Preferred Skills and Previous Experience * Familiarity with Excel analysis tools (e.g., pivot tables, VBA/macros) * Experience with programming languages such as SQL, Python, or C# * Successful completion of a data analysis project (e.g., competition, internship, lab course) * Analytical aptitude and a passion for problem-solving * Highly organized and self-motivated Benefits * Fully paid housing if applicable * Uber stiped to cover most transportation costs * Free breakfast, lunch and snacks on-site daily * Gym membership included Voloridge Health is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

Voloridge Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We develop advanced tools to deliver predictive, personalized insights to empower individuals and organizations to make data-driven decisions, promoting longer, healthier lives. Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its sister company, Voloridge Investment Management, as an award-winning quantitative hedge fund. We are seeking a highly motivated Data Analyst Intern to research and analyze health data and assist in preparing and manipulating it as critical inputs and outputs of our predictive modeling processes. This individual will have the opportunity to employ techniques developed in the classroom and experience the daily challenges of a health data analyst. Summary of Job Functions Assist with organization and documentation of key input datasets Develop customer-facing visualizations of analytic data output Extract and compile data from publicly available research sources Minimum Requirements Completion of at least two year of an undergraduate or graduate degree program in STEM or equivalent field of study Proficient in Excel Basic knowledge of data analysis methods Experience working with data in a health sciences or related field Ability to work onsite in our Jupiter, Florida office (not a remote role) Preferred Skills and Previous Experience Familiarity with Excel analysis tools (e.g., pivot tables, VBA/macros) Experience with programming languages such as SQL, Python, or C# Successful completion of a data analysis project (e.g., competition, internship, lab course) Analytical aptitude and a passion for problem-solving Highly organized and self-motivated Benefits Fully paid housing if applicable Uber stiped to cover most transportation costs Free breakfast, lunch and snacks on-site daily Gym membership included Voloridge Health is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.