Data scientist jobs in West Pensacola, FL

One of our staffing partners is helping an Ecommerce hire a Data Scientist Salary offered $65-75k per year Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants. Responsibilities: Develop advanced NLP solutions for text generation, summarization, and semantic search Optimize transformer-based architectures for performance and scalability Leverage prompt engineering and model customization to enhance AI outputs Deploy, monitor, and optimize AI models in cloud environments Collaborate with cross-functional teams to integrate AI into real-world applications Analyze and preprocess massive datasets for AI-driven insights Hands-on experience with LLMs (GPT, Llama, PaLM, or similar) Proficiency in Python, TensorFlow, PyTorch. Knowledge of transformer architectures, attention mechanisms, and reinforcement learning Familiarity with cloud-based AI environments (AWS, Azure, or GCP) Experience with AI model deployment and optimization techniques

Hybrid Jacksonville, FL The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market. Quantitative Analytics & Research Analyst The energy landscape is evolving, and so are the challenges our Clients face. TEA's Quantitative Analytics & Research team is looking for an innovative and analytical mind to help transform complex market trends into cutting-edge solutions. If you're passionate about machine learning, optimization, and statistical modeling and thrive in a fast-paced environment where curiosity meets impact, this is your opportunity to make a difference! Why You'll Love This Role: Build models that drive the future of energy markets and empower clients to make smarter, data-driven decisions. Work alongside a collaborative team of data scientists and industry experts who thrive on tackling complex challenges. Explore new ideas, experiment with innovative solutions, and see your work deliver impact across a wide range of clients. What You'll Do: Clean, transform, and validate structured and unstructured data to ensure data quality and reliability. Maintain existing machine learning and optimization models, updating them as needed. Research and experiment with new methods to enhance current models as well as develop new solutions. Collaborate with cross-functional teams to maintain data pipelines. Collaborate with cross-functional teams to understand the business requirements and deliver solution effectively. Document workflows, methodologies, and data sources to ensure transparency and reproducibility. What You Bring to the Team: Passion for analytics and problem-solving with a drive to find meaningful insights in complex data. Strong skills in machine learning, predictive modeling, and optimization techniques such as regression, neural networks, and feature engineering. Solid understanding of electricity markets, including economic dispatch, marginal pricing, and market clearing rules. Proficiency in R or Python, with a working knowledge of web design (HTML, CSS, JavaScript, R-Shiny),Stochastic approach, and database queries. Your Growth Path at TEA: Level 1 Data Scientist: Operate and maintain models, gaining hands-on experience with TEA's tools and industry functions. Level 2 Data Scientist: Design and refine analytical models, assess their effectiveness, and contribute to cutting-edge solutions. Level 3 Data Scientist: Provide strategic insights, manage projects, and support TEA's business development initiatives. Level 4 Senior Data Scientist: Serve as a subject matter expert, mentor team members, and lead high-impact initiatives. What You Need to Succeed: Bachelors and/or Masters in Data Science, Computer Science, Engineering or other relevant field. Industry experience in analyzing data, maintaining and developing models is preferred. Proficiency in programming languages Python or R. Strong foundation in the following subjects: statistics, machine learning, and optimization. Background in energy and power systems is preferred. Eagerness to learn, receive feedback, and grow technical depth. Strong problem-solving and analytical thinking. Good communication skills; ability to understand the requirements and present the results to stakeholders. Tools & Technology You'll Work With: Microsoft Word, Excel/Visual Basic, and other advanced analysis tools. Large-scale utility simulation software such as PROMOD, PLEXOS, AuroraXMP, GE Maps, Dayzer, PSS/e, and PowerWorld. Decision analysis techniques such as decision trees and influence diagrams. Compensation & Benefits: Competitive Salary: Based on experience, level and location. Incentives: Annual target short-term incentive rate of 17.5% of base salary based on corporate, team, and individual performance. Benefits: Paid Time Off starting at 17 days per year, plus nine paid holidays. 401(a) employer contribution and 457(b) deferred compensation retirement savings plans. Medical, dental, vision, life, AD&D, and disability insurance. Health savings and flexible spending accounts. A great work-life balance and visibility to senior executives in a supportive company culture. TEA Values TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve. TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA's founding entrepreneurial spirit by seizing opportunities to deliver value. If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you. It's YOUR Future. It's OUR Future.

Shape the Future of Predictive Medicine. One-Year Project. Innovators Wanted! Are you driven by curiosity, energized by ambiguity, and passionate about transforming healthcare? Dr. Ciara Freeman at the esteemed Moffitt Cancer Center is searching for a bold, entrepreneurial-minded Applied Data Scientist - Regulatory and Statistical for a dynamic, one-year project to help build the first regulatory-grade AI models that predict therapy response in multiple myeloma. You'll partner with a physician-scientist PI and data-engineering team to prototype, validate, and document predictive models designed for clinical use. This is hands-on translational ML - fast iteration, real impact, auditable results. Your models will form the core of clinically actionable, auditable AI systems that change how we treat cancer. Ideal Candidate: Expert in Python (scikit-learn, XGBoost, PyTorch/TensorFlow). Skilled in survival or clinical modeling; thrive where rigor meets speed. Startup thinkers with a thirst for discovery Individuals who thrive in fast-paced, risk-friendly environments Problem solvers who see challenges as opportunities Team players eager to see their ideas put into action Responsibilities: Develop and validate multimodal survival and risk-stratification models (clinical + omics + imaging). Collaborate with engineers to define and extract features. Perform calibration, bias analysis, and explainability (SHAP, PDPs, model cards). Translate results into clinician-friendly insights and contribute to IP and regulatory filings. Credentials & Qualifications: Master's degree in Computer Science, Data Science, Biostatistics, or a related quantitative field with seven (7) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments. Or PhD with five (5) years of applied statistical or machine learning model development experience in healthcare, biotech, or regulated environments. Familiarity with Snowflake or modern data-engineering workflows preferred. Join a project that's not just about data - it's about revolutionizing patient care. Help us bridge the gap between today's personalized medicine and tomorrow's predictive breakthroughs. If you're ready to take risks, drive results, and change the future of medicine, apply today! Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty. Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States.

Data Scientist (Python / PostgreSQL / PyTest) Must Have Technical/Functional Skills Data Scientist with strong expertise in Python, PostgreSQL, and PyTest to join our team. The role involves building advanced data models, performing statistical analysis, and implementing automated testing frameworks for enterprise-grade solutions. Roles & Responsibilities · Develop and deploy data science models and algorithms using Python. · Perform data extraction, transformation, and analysis leveraging PostgreSQL and Pandas. · Design and implement robust automated test suites using PyTest for data pipelines and models. · Conduct exploratory data analysis (EDA) and feature engineering for predictive modeling. · Collaborate with stakeholders to define data-driven solutions and business insights. · Optimize SQL queries and database structures for performance and scalability. · Integrate models into production systems with CI/CD pipelines and testing gates. · Ensure data quality, security, and compliance with enterprise standards. · Document methodologies, workflows, and maintain reproducibility of experiments. · Provide production support and troubleshoot data-related issues Required Qualification · 5+ years of experience in Data Science and Python programming. · Strong knowledge of statistical modeling, machine learning techniques, and data visualization. · Expertise in PostgreSQL (schema design, query optimization, indexing). · Proficiency in PyTest for automated testing and CI/CD integration. · Hands-on experience with Pandas and NumPy for data manipulation. · Familiarity with Git-based workflows and CI/CD tools. · Strong problem-solving skills and ability to communicate technical concepts clearly. Generic Managerial Skills, If any · Experience with SQLAlchemy, Airflow, or Prefect for workflow orchestration. · Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker). · Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). · Prior experience in BFSI domain. Data Science, Python, Pandas, PostgreSQL, PyTest, Machine Learning, CI/CD, SQL Performance, Airflow, Docker, Kafka. Interested candidates please share me your updated resume to *******************

We are seeking a Senior Data Scientist to lead data-driven innovation and deliver actionable insights that shape strategic decisions. In this role, you will collaborate with product, design, and engineering teams to develop advanced analytical models, optimize business processes, and build scalable data solutions. The work will be focused on automating the integration of disparate, unstructured data into a structured system-a process that was previously manual, time-consuming, and prone to errors. You will work with cutting-edge technologies across Python, AWS, Azure, and IBM Cloud (preferred) to design and deploy predictive models and machine learning algorithms in production environments. Key Responsibilities: Act as a senior data strategist, identifying and integrating new datasets into product capabilities. Work will be geared towards use cases regarding automation opportunities where disparate data will be restructured into a system to improve accuracy in data extraction, resulting in improved operational efficiency and enhanced data quality. Partner with engineering teams to build and enhance data products and pipelines. Execute analytical experiments and develop predictive models to solve complex business challenges. Collect, clean, and prepare structured and unstructured datasets for analysis. Build and optimize algorithms for large-scale data mining, pattern recognition, and predictive modeling. Analyze data for trends and actionable insights to inform business decisions. Deploy analytical models to production in collaboration with software developers and ML engineers. Stay current with emerging technologies, cloud platforms, and industry best practices. Required Skills & Education: 7+ years of experience in data science or advanced analytics. Strong expertise in Python and proficiency in SQL. Hands-on experience with AWS and Azure; familiarity with IBM Cloud is a bonus. Advanced knowledge of data mining, statistical analysis, predictive modeling, and machine learning techniques. Ability to work effectively in a dynamic, research-oriented environment with multiple projects. Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or related field (or equivalent experience). Excellent communication skills to present insights to technical and non-technical stakeholders. Preferred Qualifications: 2+ years of project management experience. Relevant professional certifications (AWS, Azure, Data Science, Machine Learning). About Seneca Resources: At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.

DETAILS: EDI CONSULTANT /TRAINER Title: EDI Consultant Length: 3-6 months for first project and extensions from there, possible for multiple projects Compensation: Hourly DOE Location: Meadowbrook, AL (Birmingham) / can be remote, but need to visit on the front end a couple of weeks and as needed occasionally down the road. OVERVIEW: EDI CONSULTANT /TRAINER This individual will plan, develop, and implement the EDI operations and strategy roadmap for the organization train and mentor a small team. RESPONSIBILITIES: EDI CONSULTANT /TRAINER Manage Mapping and Administration for TrustedLink/OpenText /BizManager for iSeries/AS400 Mentor a small team of resources to assist in EDI operations. Oversees the design, development, testing, deployment, and maintenance of the EDI systems, applications, and integrations - Must be strong with TrustedLink and BizManager for iSeries. Develop and Document Specifications Monitors and evaluates the EDI system's performance, availability, security, and compliance, and initiates corrective actions as needed. Ensures that the EDI systems adhere to the industry standards, best practices, and regulatory requirements. Resolves complex EDI issues and provides technical support and guidance to the users. Establishes and maintains effective relationships with the internal and external stakeholders, such as business units, IT departments, vendors, and trading partners. MINIMUM REQUIREMENTS: EDI CONSULTANT /TRAINER Experience with AS400 / iSeries and RPG development and data files. Strong experience with OpenText, TrustedLink, and BizManager for iSeries 2+ years leadership experience training and leading a small team 10+ years of experience in EDI systems development, implementation, and management. Extensive knowledge and expertise in EDI standards, formats, protocols, and technologies, such as ANSI X12, EDIFACT, XML, AS2, FTP, VAN communication protocols etc.

Responsible for providing expertise on decisions and priorities regarding the enterprise's overall systems architecture. Facilitates the establishment and implementation of standards and guidelines that guide the design of technology solutions, including architecting and implementing solutions requiring integration of multiple platforms, operating systems and applications across the enterprise. Reviews, advises, and designs standard software and hardware builds, system options, risks, costs vs. benefits, and impact on the enterprise business process and goals. Develops and documents the framework for integration and implementation for changes to technical standards. Assists in the development of and manages an architecture governance process. Provides technical guidance to project team areas as appropriate. Tracks industry trends and maintains knowledge of new technologies to better serve the enterprise's architecture needs. Essential Position Functions: Ability to design and implement scalable AI solutions that integrate seamlessly with existing business and IT infrastructure and drive the organization's vision Leading cross-disciplinary teams to develop AI applications that meet strategic business objectives Ensuring AI solutions comply with ethical standards and industry regulations Provide technical direction and leadership for internal software development efforts Conducts regular code reviews to ensure that the application code is of high quality and meets code standards. Identify and implement technology solutions to support Research & Development initiatives including data interchange systems, security frameworks, and business intelligence systems Plan and architect integration layers between internal applications that manage school and student information and external partner systems, including Learning Management Systems (LMS), Student Information System (SIS), Curriculum Services/Courses, and Physical School based systems Design and develop new software products or major enhancements to existing software Acts as highest-level technical expert, addressing problems of systems integration, compatibility, and multiple platforms Performs feasibility analysis on potential future projects to management Work across internal development teams to deliver system performance and architecture improvements Work with leadership to identify and evaluate new technologies Exhibit excellent communication skills to earn trust, persuade, motivate, and mentor Assist in the establishment and maintenance of vendor relationships Work with leadership to document and present technology roadmaps and strategies Work together with peers and functional groups to ensure consistent approach and maximum value for development initiatives and business platforms Produce architectural documentation as required by the Software Development Life Cycle (SDLC) using industry standards; maintain and evolve software architecture documents based on evolving system requirements and industry trends and technologies Meet professional obligations through efficient work habits such as, meeting deadlines, honouring schedules, coordinating resources and meetings in an effective and timely manner, and demonstrate respect for others Technical Skills: Bachelor's Degree in Artificial Intelligence, Computer Science, or Information Systems; or equivalent combination of education and relevant experience. Or equivalent work experience. Industry certifications in software, systems, network, or project management disciplines, preferred Eight (8) years of software and systems architecture/development experience Five (5) years of Artificial Intelligence development experience Development Patterns, Methodologies and Tools Code Repositories like Git/GitHub/TFS, required Story Management Applications like Azure DevOps, preferred Development Frameworks, preferred DevSecOps / DevOps Agile Development Service Oriented Architectures High -traffic and -volume Distributed System Design, required Experience with Microservices or Service Bus Technologies, preferred Message Brokers like RabbitMQ, Kafka, or Azure Service Bus, preferred Data Storage and Persistence SQL server/MySQL, required No-SQL like MongoDB or Redis, required Experience with Azure SQL, Azure Cosmos DB, or Azure Key Vault, preferred Experience with Cloud Storage like Azure, preferred Container-based Architectures like Docker or Kubernetes, preferred AI and Machine Learning with tools like Azure Cognitive Search, Azure Machine Learning, Azure Cognize Services or Azure Bot Services, preferred Experience with analytics like Azure Data Lake Storage and Analytics, Azure Databricks or Azure Open Datasets, preferred Experience in Business Intelligence, Big Data, or analytics, preferred Experience in Education industry or with education data, preferred Experience with git version control, required Service Oriented Architectures High -traffic and -volume Distributed System Design, required Experience with Microservices or Service Bus Technologies, preferred Ability to design large scale, enterprise-wide systems, optimized for performance utilizing appropriate industry technologies and best practices, required

(Orlando, FL) Business Challenge The company is in the midst of an AI transformation, creating exciting opportunities for growth. At the same time, they are leading a Salesforce modernization and integrating the systems and data of their recent acquisition. To support these initiatives, they are bringing in a Senior Data Architect/Engineer to establish enterprise standards for application and data architecture, partnering closely with the Solutions Architect and Tech Leads. Role Overview The Senior Data Architect/Engineer leads the design, development, and evolution of enterprise data architecture, while contributing directly to the delivery of robust, scalable solutions. This position blends strategy and hands-on engineering, requiring deep expertise in modern data platforms, pipeline development, and cloud-native architecture. You will: Define architectural standards and best practices. Evaluate and implement new tools. Guide enterprise data initiatives. Partner with data product teams, engineers, and business stakeholders to build platforms supporting analytics, reporting, and AI/ML workloads. Day-to-Day Responsibilities Lead the design and documentation of scalable data frameworks: data lakes, warehouses, streaming architectures, and Azure-native data platforms. Build and optimize secure, high-performing ETL/ELT pipelines, data APIs, and data models. Develop solutions that support analytics, advanced reporting, and AI/ML use cases. Recommend and standardize modern data tools, frameworks, and architectural practices. Mentor and guide team members, collaborating across business, IT, and architecture groups. Partner with governance teams to ensure data quality, lineage, security, and stewardship. Desired Skills & Experience 10+ years of progressive experience in Data Engineering and Architecture. Strong leadership experience, including mentoring small distributed teams (currently 4 people: 2 onshore, 2 offshore; team growing to 6). Deep knowledge of Azure ecosystem (Data Lake, Synapse, SQL DB, Data Factory, Databricks). Proven expertise with ETL pipelines (including 3rd-party/vendor integrations). Strong SQL and data modeling skills; familiarity with star/snowflake schemas and other approaches. Hands-on experience creating Data APIs. Solid understanding of metadata management, governance, security, and data lineage. Programming experience with SQL, Python, Spark. Familiarity with containerized compute/orchestration frameworks (Docker, Kubernetes) is a plus. Experience with Salesforce data models, MDM tools, and streaming platforms (Kafka, Event Hub) is preferred. Excellent problem-solving, communication, and leadership skills. Education: Bachelor's degree in Computer Science, Information Systems, or related field (Master's preferred). Azure certifications in Data Engineering or Solution Architecture strongly preferred. Essential Duties & Time Allocation Data Architecture Leadership - Define enterprise-wide strategies and frameworks (35%) Engineering & Delivery - Build and optimize ETL/ELT pipelines, APIs, and models (30%) Tooling & Standards - Evaluate new tools and support adoption of modern practices (15%) Mentorship & Collaboration - Mentor engineers and align stakeholders (10%) Governance & Quality - Embed stewardship, lineage, and security into architecture (10%)

Data Architecture & Modeling Design and maintain enterprise-level logical, conceptual, and physical data models. Define data standards, naming conventions, metadata structures, and modeling best practices. Ensure scalability, performance, and alignment of data models with business requirements. Data Governance & Quality Implement and enforce data governance principles and policies. Define data ownership, stewardship, data lineage, and lifecycle management. Lead initiatives to improve data quality, consistency, and compliance. Enterprise Data Management Develop enterprise data strategies, including data integration, master data management (MDM), and reference data frameworks. Define and oversee the enterprise data architecture blueprint. Ensure alignment between business vision and data technology roadmaps.

Data Engineer (AI/ML Pipelines) - Contract to Hire - Seffner, FL - $48-67/hr. The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position. Applicants must be legally authorized to work in the United States. Sponsorship not available. Our client is seeking a Data Engineer (AI/ML Pipelines) in Seffner, FL. Responsibilities The Data Engineer - AI/ML Pipelines is a pivotal role responsible for architecting, developing, and maintaining scalable data pipelines that support advanced analytics, machine learning, and real-time operational intelligence across enterprise systems. A key requirement for this role is hands-on experience working with Warehouse Management Systems (WMS), including the ability to ingest, normalize, and interpret data from WMS platforms to support business-critical operations. You'll collaborate closely with software engineers, data scientists, and cross-functional teams to drive initiatives in data transformation, governance, and automation. The role offers exposure to cutting-edge cloud-based technologies, direct mentorship, and well-defined pathways for advancement-including growth into senior or lead data engineering roles, specialization in machine learning engineering, or transition into software engineering roles. Skills & Requirements 3+ years of experience in data engineering Hands-on experience with Databricks, cloud-based data processing, and AI/ML workflows Demonstrated ability to independently build production-grade data pipelines Deep knowledge of data modeling, ETL/ELT, and data architecture in cloud environments. Proficiency in Python, SQL, and data engineering best practices. Benefits/Other Compensation This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit). Why Hays? You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it. Nervous about an upcoming interview? Unsure how to write a new resume? Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting. Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is ‘do the right thing'. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us. In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text ************. Drug testing may be required; please contact a recruiter for more information.

No VISA candidates please.. MUST BE ONSITE 3-4 DAYS IN MIAMI FL We are seeking a skilled Data Engineer to design and build analytics solutions that drive meaningful business value. In this role, you will collaborate closely with data teams, stakeholders, and leadership to ensure technical solutions align with business goals. You will create scalable data architectures, robust data models, and modern engineering pipelines that support the full data lifecycle. The ideal candidate is a strong database designer with hands-on experience in QL, data modeling, and Databricks. You should be comfortable gathering requirements, managing timelines, collaborating with offshore teams, and interacting directly with clients. This role requires 4 days per week onsite in Miami; no travel required. Key Responsibilities Design, build, and maintain scalable on-prem and cloud-based data architectures. Translate business requirements into clear, actionable technical specifications. Optimize data flows, pipelines, and integrations for performance and scalability. Develop and implement data engineering solutions using Databricks (AWS, Azure, or Google Cloud Platform). Lead end-to-end pipeline development, including ingestion, transformation, and storage. Ensure data quality, governance, security, and integrity across the lifecycle. Work directly with clients to understand needs and deliver tailored solutions. Provide guidance and mentorship to junior engineers and team members. Clearly communicate complex data concepts to technical and non-technical audiences. Manage stakeholder expectations and maintain strong client relationships. Stay current with modern data engineering, cloud, and analytics technologies. Skills & Attributes for Success Strong analytical, decision-making, and problem-solving abilities. Expertise in cloud architecture and modern data engineering concepts. Experience with data integration, modeling, and security best practices. Ability to handle complex business requirements and legacy system landscapes. Excellent communication and relationship-building skills. Required Qualifications Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred). 5+ years of data engineering experience focused on cloud-based solutions. Hands-on expertise with Databricks and Spark for large-scale data processing. Strong programming skills in Python, Scala, and/or SQL. Deep experience in data modeling, ETL development, and data warehousing. Proven success delivering at least two end-to-end data engineering projects, such as: Building a data lake on Databricks integrating multiple sources for BI analytics. Developing real-time pipelines using Databricks and cloud-native services. Ability to work independently, lead tasks, meet deadlines, and manage client communication. Senior Project Expertise (Preferred for Consulting-Level Roles) Ability to connect technical solutions to broader business strategies. Experience managing multiple concurrent projects and deliverables. Skilled in stakeholder engagement at all levels, including executives. Change management exposure in data transformation initiatives. Ability to identify risks and define mitigation strategies. Experience contributing to architectural decision-making and technical leadership. Strong documentation, reporting, and client-facing communication. Nice to Have Experience with data quality frameworks and semantic layers. Familiarity with AWS, Azure, or Google Cloud Platform data services. Understanding of data governance, privacy, and compliance standards. Exposure to machine learning tools and frameworks.

Job Title: Data Engineer (Mid-Level) Employment Type: 6 months contract to hire About the Role We are seeking a highly skilled professional who can bridge the gap between data engineering and data analysis. This role is ideal for someone who thrives on building robust data models and optimizing existing data infrastructure to drive actionable insights. 70% engineering/30% analyst Key Responsibilities · Design and implement data models for service lines that currently lack structured models. · Build and maintain scalable ETL pipelines to ensure efficient data flow and transformation. · Optimize and enhance existing data models and processes for improved performance and reliability. · Collaborate with stakeholders to understand business requirements and translate them into technical solutions. · Must have excellent communication skills Required Skills · SQL (must-have): Advanced proficiency in writing complex queries and optimizing performance. · Data Modeling: Strong experience in designing and implementing relational and dimensional models. · ETL Development: Hands-on experience with data extraction, transformation, and loading processes. · Alteryx or Azure Data Factory (ADF) for pipeline development. · Excel proficiency · Experience with BI tools and data visualization (Power BI, Tableau). Bachelor's degree required Thanks and Regards Ashish Tripathi || US IT RecruiterKPG99,INC ******************| *************** 3240 E State, St Ext | Hamilton, NJ 08

Role: Data Engineer (Builder) Duration: Contract to Hire Visa: USC or GC Only Experience Needed 5-7 years in data engineering or database development. Hands‑on experience with SQL Server ETL/ELT pipelines. Experience integrating pipelines with cloud services (AWS Glue, Azure Data Factory, GCP Dataflow). Familiarity with streaming technologies (Kafka, Kinesis). Experience in data modeling and architecture design. Proficiency in Python/Scala/Java programming for pipeline development. Exposure to DevOps automation (Terraform, Ansible) and containerization (Docker, Kubernetes). DevOps and automation maturity with certifications (HashiCorp Terraform Associate, AWS DevOps Engineer) and containerization (Docker, Kubernetes). Preferred: Advanced programming depth with applied coursework or certifications (Python Institute PCPP, Scala Professional Certification). Preferred: Data modeling specialization with advanced coursework or vendor‑specific training (Snowflake, AWS Big Data Specialty). Education Bachelor's degree in Computer Science, Software Engineering, or related technical field. Certifications (Preferred) AWS Certified Data Engineer Azure Data Engineer Associate Google Professional Data Engineer Software Use SQL Server (ETL/ELT pipelines, stored procedures). Orchestration tools (Airflow, DBT). Cloud integration services (AWS Glue, Azure Data Factory, GCP Dataflow). Observability tools (OpenLineage, Monte Carlo). DevOps automation tools (Terraform, Ansible). Containerization platforms (Docker, Kubernetes).

Flybridge Staffing is currently searching for a Data Engineer for a client located in the Palm Beach Gardens area. This is a direct-hire position that will work off a hybrid schedule of 2 days remote. This person will design systems that supply high-performance datasets for advanced analytics. Experience: BA degree and 5+ years of Data Engineering experience Strong experience building ETL data pipelines for on-premises SQL Server 2017 or newer Deep understanding of the development of data pipelines with either SSIS or Python Broad experience with SQL Server, including Columnstore, etc. Extensive experience using SSMS and T-SQL to create and maintain SQL Server tables, views, functions, stored procedures, and user-defined table types. Experience with data modeling indexes, Temporal tables, CLR, and Service Broker. Experience in partitioning tables and indexes, and performance improvement with Query Analyzer Experience writing C#, PowerShell, and Python. Experience with source control integration with GitHub, BitBucket, and Azure DevOps. Experience working in an Agile and Kanban SDLC. Experience with cloud-based data management solutions such as Snowflake, Redshift. Experience with Python programming is a plus. Libraries such as Pandas, Numpy, csv, Traceback, JSON, PyODBC, Math-Are nice to have. Experience writing design documentation such as ERDs, Data Flow Diagrams, and Process Flow Diagrams. Experience with open-source database engines such as Clickhouse, ArcticDB, and PostGreSQL is a plus. Responsibilities: Collaborate effectively with Stakeholders, Project Managers, Software Engineers, Data Analysts, QA Analysts, DBAs, and Data Engineers. Build and maintain data pipelines based on functional and non-functional requirements. Proactively seek out information and overcome obstacles to deliver projects efficiently. Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability. Ensure that data pipelines are kept simple and not overly engineered. Produce and maintain design and operational documentation. Analyze complex data problems and engineer elegant solutions. ****NO SPONSORSHIP AVAILABLE**** US Citizen, GC, EAD only please. If your background aligns with the above details and you would like to learn more, please submit your resume to jobs@flybridgestaffing.com or on our website, www.flybridgestaffing.com and one of our recruiters will be in touch with you ASAP. Follow us on LinkedIn to keep up with all our latest job openings and referral program.

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.

NationsBenefits is recognized as one of the fastest growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members. Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction. Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members. We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India. Position Summary: We are seeking a seasoned EDI 837 Claims Data Engineer to design, develop, and maintain data pipelines that process healthcare claims in compliance with HIPAA and ANSI X12 standards. This role requires deep expertise in Electronic Data Interchange (EDI), particularly the 837-transaction set, and will be pivotal in ensuring accurate, timely, and secure claims data exchange across payers, providers, clearinghouses, state agencies, and CMS. Key Responsibilities EDI Development & Integration Design, build, and maintain pipelines for processing 837 healthcare claim transactions. Implement and support EDI workflows across multiple trading partners. Ensure compliance with HIPAA regulations and ANSI X12 standards. Data Engineering Develop ETL processes to transform, validate, and load claims data into enterprise data warehouses. Optimize data flows for scalability, reliability, and performance. Collaborate with analysts and stakeholders to ensure claims data accuracy. Write and optimize SQL queries, stored procedures, and scripts for validation and reporting. Monitoring & Troubleshooting Monitor EDI transactions for errors, rejections, and compliance issues. Troubleshoot and resolve data mapping, translation, and connectivity problems. Perform root cause analysis and implement corrective actions. Collaboration Work closely with business analysts, QA teams, and IT operations to support claims processing. Partner with healthcare domain experts to align technical solutions with business needs. Required Skills & Qualifications 5+ years of experience in healthcare data engineering or claims integration. Strong expertise with EDI 837 transactions and healthcare claims processing. Proven experience with Medicaid and Medicare data exchanges between state agencies and CMS. Hands-on experience with Databricks, SSIS, and SQL Server. Knowledge of HIPAA compliance, CMS reporting requirements, and interoperability standards. Strong problem-solving skills and ability to work in cross-functional teams. Excellent communication and documentation skills. Preferred Skills Experience with Azure cloud platforms Familiarity with other EDI transactions (835, 270/271, 276/277). Exposure to data governance frameworks and security best practices. Background in data warehousing and healthcare analytics.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a qualified Life Actuary to join our diverse team. The ideal candidate will possess strong risk management skills, with a particular focus on Interest Rate Risk Management and broader financial risk experience. This role requires an individual who has acquired their ASA designation or FSA designation and has a few years of meaningful experience. Key responsibilities will include experience in Asset-Liability Management (ALM), encompassing liquidity management, asset allocation, cashflow matching, and duration targeting. You will also be responsible for conducting asset adequacy testing to ensure the sufficiency of assets to meet future obligations. Experience in product pricing, especially for annuity products. Furthermore, an understanding of Risk-Based Capital (RBC) frameworks and methodologies is required. Proficiency with actuarial software platforms, with a strong preference for AXIS, is highly advantageous. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Performs complex work assignments using actuarial modeling software driven models for pricing, valuation, and/or risk management. Reviews laws and regulations to ensure all processes are compliant; and provides recommendations for improvements and monitors industry communications regarding potential changes to existing laws and regulations. Runs models, generates reports, and presents recommendations and detailed analysis of all model runs to Actuarial Leadership. May make recommendations for model adjustments and improvements, when appropriate. Shares knowledge with team members and serves as a resource to team on raised issues and navigates obstacles to deliver work product. Leads or participates as a key resource on moderately complex projects through concept, planning, execution, and implementation phases with minimal guidance, involving cross functional actuarial areas. Develops exhibits and reports that help explain proposals/findings and provides information in an understandable and usable format for partners. Identifies and provides recommended solutions to business problems independently, often presenting recommendation to leadership. Maintains accurate price level, price structure, data availability and other requirements to achieve profitability and competitive goals. Identifies critical assumptions to monitor and suggest timely remedies to correct or prevent unfavorable trends. Tests impact of assumptions by identifying sources of gain and loss, the appropriate premiums, interest margins, reserves, and cash values for profitability and viability of new and existing products. Advises management on issues and serves as a primary resource for their individual team members on raised issues. Ensures risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 4 years relevant actuarial or analytical experience and attainment of Fellow within the Society of Actuaries; OR 8 years relevant actuarial experience and attainment of Associate within the Society of Actuaries. Experience performing complex work assignments using actuarial modeling software driven models for pricing, valuation, and/or risk management. Experience presenting complex actuarial analysis and recommendations to technical and non-technical audiences. What sets you apart: Asset-Liability Management (ALM): Experience in ALM, including expertise in liquidity management, asset allocation, cashflow matching, and duration targeting. Asset Adequacy Testing: Experience conducting asset adequacy testing to ensure the sufficiency of assets to meet future obligations. Product Pricing: Experience in pricing financial products, with a particular emphasis on annuity products. Risk-Based Capital (RBC): Experience with risk-based capital frameworks and methodologies. Actuarial Software Proficiency: Familiarity with actuarial software platforms. Experience with AXIS is considered a significant advantage. Actuarial Designations: Attainment of Society of Actuaries Associateship (ASA) or Fellowship (FSA). Compensation range: The salary range for this position is: $127,310 - $243,340. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

Job Description Title: Senior Data Scientist Reports to: VP Credit Decision Sciences About the Company At BMG Money, our mission is to provide access to affordable and responsible credit for underserved consumers facing unexpected expenses. We all share one vision- Redefining lending through technology, where underserved individuals can thrive financially through forward-thinking, responsible, and innovative financial solutions. Job Summary We are seeking an experienced and highly capable Data Scientist to join our team at BMG Money. This senior-level career role is crucial for transforming large, complex datasets into strategic insights that drive decision-making across various functions. The successful candidate will be responsible for independently developing, validating, and supporting the implementation of predictive models, machine learning algorithms, and advanced dashboards. This role requires strong technical mastery and the ability to work collaboratively to deliver high-impact solutions. Key Responsibilities Develop, validate, and support the deployment of predictive models and machine learning algorithms, ensuring they meet rigorous standards for accuracy and business relevance. Collect, process, and analyze massive volumes of structured and unstructured data, providing technical expertise within key data domains. Design and deliver insightful dashboards, reports, and data visualizations for business, product, and technology stakeholders, clearly articulating findings and their implications. Proactively identify patterns, trends, and business opportunities hidden within the data, translating findings into proposed solutions and actionable analysis. Support other data-driven projects such as fraud detection and portfolio analysis. Ensure compliance with regulatory requirements and internal policies related to credit risk modeling. Collaborate closely with product, engineering, and business teams to integrate data-driven solutions into production systems. Ensure the quality, consistency, and integrity of all utilized datasets and contribute to establishing best practices for data quality. Mentor junior data analysts on best practices for data cleaning, modeling techniques, and analytical rigor. Research, evaluate, and apply new data analysis techniques, tools, and technologies (e.g., cloud platforms, new programming libraries). Stay current with the latest technological advancements in the Data Science field to recommend process and equipment improvements. Provide hands-on support and guidance to junior analysts, ensuring access to high-quality, well-structured data sources. Support the manager on all related matters, discussing complex issues and recommending well-researched solutions to inform procedural and strategic actions. Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. Minimum of 4+ years of professional experience in data analysis, data modeling, and validation of analytical models in the financial services industry. Advanced SQL proficiency (writing complex, optimized queries) Business Intelligence (BI) tools (e.g., Tableau, Power BI, Looker) Advanced Statistical and Mathematical aptitude with experience in experiment design (e.g., A/B testing) Advanced proficiency in Python or R and their data science ecosystems (e.g., Pandas, Scikit-learn). Advanced Microsoft Excel Strong Critical Thinking and Analytical Skills • Demonstrated Decision-Making Capacity Excellent Communication and Presentation Skills (ability to present technical findings clearly to a business audience) Strong Organizational and Planning Skills Proven ability to work effectively in a team environment and mentor peers/junior staff. Preferred Qualifications Master's degree or post-graduate specialization in a relevant field. Experience with Credit Risk Management. Prior experience contributing to model deployment/MLOps processes. Advanced English proficiency (for documentation/global teams). Familiarity with cloud platforms (AWS, Azure, or GCP). Foundational understanding of credit risk management