Data engineer jobs in Florida - 2,473 jobs

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results. Responsibilities Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company. Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels. Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations. Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives Requirements Bachelor's degree in related field 2-3 years experience in data and analytics field Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS. Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations Advanced knowledge of Microsoft Excel General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics Experience with data orchestration tools such as Annalect Omni Excellent verbal, written and interpersonal communication skills Ability to work independently and as part of a team Ability to manage multiple projects simultaneously while meeting deadlines Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations. Data storytelling and presentation

A tech company specializing in data management seeks a Head of Partnerships in Miami to define their global partnerships strategy and manage partner relationships. Ideal candidates will have extensive experience in the data ecosystem and partnerships, particularly in startups. The role includes building a team from the ground up, establishing a partner-driven pipeline, and collaborating across functional teams. This position is an opportunity to shape the company's partnership function and drive significant revenue impact. #J-18808-Ljbffr

Who We Are Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock. We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7. The Role We are looking for a pragmatic Applied AI Engineer to join our engineering team. The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs. The Challenge Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data. You will solve problems like: Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents) from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible. Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis. Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen. What You'll Do Engineer the Integration: Writing production-grade code that interacts with external AI APIs "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools. Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user. Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval. Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand. What You'll Bring Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails. Data Handling: Experience with handling complex data structures. The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features. Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices. Nice to Have Experience with AWS infrastructure. Familiarity with the US Real Estate, Title, or Escrow process. What We Offer Working in a transparent environment which focuses on solving problems and getting things done. The opportunity to work with very smart and driven people. The ability to grow your talents and career in a high-growth sector. A remuneration package that is based on the candidate's motivation, skills, and experience. How to Apply Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable.

Highlights The Workday Interoperability Engineer serves as a senior technical expert responsible for architecting, deploying, and maintaining Workday integrations and interoperability frameworks that support secure, scalable data exchange across HR, finance, clinical, research, and enterprise systems. Acts as a subject matter expert in Workday integration patterns including Workday Studio, EIBs, RaaS, APIs, event-driven integrations, and streaming/data pipelines. Owns the design and operational delivery of Workday-centric interoperability initiatives, ensuring reliability and alignment with business outcomes. Provides mentorship and technical leadership to engineers and analysts, guiding them in best practices for Workday and enterprise integration. Combines deep Workday integration expertise with an understanding of cross-functional business processes and downstream system dependencies. The role will also be responsible for developing and maintaining frameworks that support information exchange needs across clinical systems Responsibilities Hands-on experience building integrations with Workday HCM, Finance, Payroll, Recruiting, or other Workday modules. Strong understanding of Workday data structures, security groups, calculated fields, and Workday report development (including RaaS). Proficiency in developing integrations using Workday Studio, EIB, Core Connectors, and PECI(Payroll Effective Change Interface). Translate Workday integration requirements into technical specifications, integration contracts, and design standards. Ability to gather API requirements, translate them into technical specifications, and produce comprehensive API design documentation (standards, contracts, and specifications). Hands-on experience implementing application security frameworks, including OAuth2, SAML, OpenID Connect, and JWT. Experience in API testing strategies - functional, regression, performance, and security testing - using tools such as Postman, SoapUI, JMeter, or equivalents. Good understanding of firewall and advanced networking concepts to support secure system integrations. Provide on-call support and keep integration documentation and records up to date. Credentials and Experience: Bachelor's Degree - field of study: Computer Science, systems analysis, or a related study Minimum 7 years of experience leading end-to-end integration implementations, with a strong emphasis on Workday and supporting middleware technologies like Cloverleaf and Boomi. Minimum of 3 years' experience working with cross functional teams providing expert knowledge for ERP data analysis to design, build and deploy integrations. The Ideal Candidate will have the following experience: Strong hands-on experience developing Workday integrations using Workday Studio, EIBs, Core Connectors, RaaS, and Workday Web Services. Experience designing and supporting interoperability between Workday and downstream systems Familiarity with healthcare interoperability concepts and standards such as HL7 or FHIR, especially where Workday interacts with clinical or research environments. Proficiency with integration platforms such as Boomi and/or Cloverleaf for orchestrating Workday-related data flows. Experience with EMR systems such as Epic is a plus, particularly when supporting Workday-to-clinical data exchange.

A technology solutions company in the US seeks a Chief Growth Officer to lead the entire revenue strategy. The role involves owning sales strategies, building an outbound organization, and creating a predictable deal pipeline. The ideal candidate has over 8 years of experience in technology sales, a proven track record of closing large deals, and comfort in high-growth environments. This position offers competitive compensation, equity participation, and collaboration with the CEO and a high-performance team. #J-18808-Ljbffr

REPORTS TO: Senior Property Manager MUST LIVE IN: Pembroke Pines, FL (Or Surrounding Area) Responsible for ensuring the efficient operation and maintenance of all mechanical, electrical, and plumbing (MEP) systems for the assigned facility. This role includes performing all necessary maintenance and operational tasks to maximize the life, reliability, and performance of the building's MEP systems. Job Description · Respond promptly to emergencies (fire, evacuation, equipment failure, etc.) and tenant concerns. · Assist with or perform the daily operation and maintenance of the building's mechanical, electrical, and plumbing (MEP) systems, as well as general facility maintenance. · Develop, implement, and maintain a comprehensive preventive and predictive maintenance program, including task scheduling, routines, and performance standards. This program should follow manufacturer recommendations and industry best practices for annual, semi-annual, quarterly, monthly, and other scheduled maintenance. · Create and maintain building-specific maintenance and safety procedure manuals. · Perform preventive maintenance tasks such as replacing filters, lubricating motors, changing lamps and ballasts, inspecting and adjusting belts, replacing bearings, aligning shafts, and completing other manufacturer-recommended maintenance activities. · Continuously recommend improvements to the preventive maintenance program. · Maintain and update building-specific maintenance procedures as needed. · Coordinate maintenance activities with outside contractors and service technicians. · Keep the management team informed of building operations · Manage inventory and maintain appropriate stock levels of supplies and materials. · Ensure compliance with all applicable codes, regulations, and company policies, and consistently practice safe work habits. · Adhere to the Uniform Dress Code and maintain a neat, professional appearance while on the property, including during non-working hours. KEY COMPETENCIES · Communication Proficiency (oral and written) · Organization Skills · Technical Proficiency · Decision Making · Problem Solving/Analysis IMPORTANT EDUCATION · High School Diploma or GED Equivalent · Graduate of apprentice program or trade school preferred Experience Requirements Minimum of 5 years of related trade experience operating mechanical, electrical, and plumbing systems in a commercial property environment. Additional Eligibility Qualifications · Valid driver's license with a clean driving record; subject to periodic verification. · Basic computer proficiency, including Outlook, Excel, and Word. · Hands-on experience with the operation, maintenance, and basic repair of HVAC systems, heaters, pumps, refrigeration equipment, compressors, and water systems. · Working knowledge of energy management systems, including their operation and optimization. · Working knowledge in utilizing work order systems · Comprehensive understanding of building system operations, maintenance practices, and repair procedures. · Relevant trade licenses or permits-such as Journeyman or Master Electrician, City Licenses, Operator Licenses, or Steam Engineer Licenses-are preferred but not required. WORK ENVIRONMENT The portfolio consists of low-rise office properties located in the Plantation and Pembroke areas. An engineer will be assigned a primary building but will not be limited to that location. They will be expected to provide support and backup to other properties as needed and will participate in the shared after-hours on-call rotation with the Midtown engineering team. The engineer may be the only maintenance staff member on duty and may be required to work extended periods without relief when responding to priority or emergency situations. Physical Demands The physical demands outlined below are representative of those required to successfully perform the essential functions of this position: · Ability to stoop, stand, climb, and frequently lift a minimum of 50 lbs., including equipment such as pumps, tools, and ladders, as well as safely install rigging and lifting devices. · Regularly required to crouch, bend, and reach to install or move equipment, utilizing proper body mechanics. · Frequent movement between floors and properties to carry out job responsibilities. · Clear verbal communication skills to ensure effective interaction with others. · Ability to read, comprehend, and follow instructions presented both orally and in writing. Regular use of visual acuity for reading printed materials, technical drawings, and schematics. BENEFITS: 401K, Health, Dental and Vision, Base Salary + Performance, PTO's

We are seeking a Cybersecurity Engineer to join our team at Independent Living Systems (ILS). ILS, along with its affiliated health plans known as Florida Community Care and Florida Complete Care, is committed to promoting a higher quality of life and maximizing independence for all vulnerable populations. About the Role: As a Cybersecurity Engineer, you will play a critical role in protecting our organization's information systems and data from cyber threats. You will design, implement, and maintain security measures that safeguard our networks, applications, and infrastructure. Your work will involve continuous monitoring and analysis to detect vulnerabilities and respond to security incidents promptly. Collaborating with cross-functional teams, you will ensure compliance with industry standards and regulatory requirements. Ultimately, your efforts will help maintain the confidentiality, integrity, and availability of our digital assets, supporting the organization's overall risk management strategy. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field. 5+ years of work experience in Cyber Security related duties such as incident detection, response and forensics. Strong understanding of network protocols, firewalls, VPNs, and security technologies. Experience with security monitoring tools and incident response processes. Familiarity with regulatory frameworks such as NIST, ISO 27001, or GDPR. Must have at least one Professional Cyber Security Certification (CISSP, CISM, CASP, CEH) Relevant experience may substitute for the educational requirement on a year-for-year basis. Preferred Qualifications: Master's degree in Computer Science, Information Technology, Cybersecurity, or a related field. Knowledge of scripting or programming languages such as Python, PowerShell, or Bash. Hands-on experience with SIEM tools and automation of security workflows. Background in threat intelligence and advanced persistent threat (APT) mitigation. Design, implement, and manage systems for user authentication, authorization, and access control, requiring skills in platforms like Okta, Azure AD, SAML, OIDC Responsibilities: Develop, configure, and maintain security tools such as firewalls, intrusion detection/prevention systems, and endpoint protection solutions. Conduct regular security assessments, vulnerability scans, and penetration tests to identify and remediate potential risks. Monitor network traffic and security alerts to detect and respond to suspicious activities or breaches. Collaborate with IT and development teams to integrate security best practices into system architecture and software development lifecycle. Create and maintain documentation related to security policies, procedures, and incident response plans. Stay current with emerging cybersecurity threats, technologies, and regulatory changes to proactively enhance security posture. Provide training and guidance to staff on security awareness and best practices.

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Embark on a career putting innovative, reliable, and agile products and ideas into orbit, and beyond. Northrop Grumman has opportunities waiting for you that play a vital role in human space exploration, national defense, and scientific discovery, supporting multiple programs across the universe. With us, you'll discover a culture of curiosity and collaboration that will have you Defining Possible from the day you start. Northrop Grumman connects and protects millions of people on earth every day, now and for the future. Explore your future and launch your career today. Northrop Grumman ES is seeking a Data Scientist/Engineer/Software Development Analyst. This position will be located in Melbourne, Fl. What you'll get to do: Research, design, develop, and/or modify enterprise-wide systems and/or applications software. Involved in planning of system and development deployment as well as responsible for meeting software compliance standards. Evaluates interface between hardware and software, operational requirements, and characteristics of overall system. Document testing and maintenance of system corrections. Specify, collect, process and present information from potentially several disparate data sets. Generate actionable knowledge from data. Utilize possesses analytical and problem solving skills for quickly developing recommendations based on quantitative and qualitative data from many different types of sources. Identify patterns and higher level information from all the data sources through use of tools and application programming. Interpret the general problem space and explain the different insights generated from the data. Translate business questions, identify and implement appropriate visualization or analysis techniques Taking projects from initial concept through deployment Collaborating with stakeholders, teammates, and business leaders Level 1 Basic Qualifications: Bachelor's degree in STEM with zero (0) years of experience OR 4 years of experience in lieu of education Be able to obtain and maintain a U.S. Government security clearance (U.S. citizenship is a pre-requisite) Must possess a DoD 8570 certification at IAT Level II or higher or obtain in 90 day from hire. Use and/or application of technical principles, theories, and concepts. Demonstrates the skill and ability to perform professional tasks. Develops recommended solutions to technical problems as assigned. Work is reviewed for soundness of technical judgment, overall adequacy and accuracy. Works under general supervision Level 2 Basic Qualifications: Bachelor's degree in STEM with two (2) years of experience OR 6 years of experience in lieu of education Be able to obtain and maintain a U.S. Government security clearance (U.S. citizenship is a pre-requisite) Must possess a DoD 8570 certification at IAT Level II or higher or obtain in 90 day from hire. 1 year experience in analytics Experience with Tableau development General understanding and experience with IT systems (Windows and/or Linux) Experience with Graphic Design/Data Visualization General frequent use and application of technical standards, principles, theories, concepts and techniques. Demonstrates the skill and ability to perform moderately complex professional tasks. Provides solutions to a variety of technical problems of increasing scope and complexity as assigned Preferred Qualifications: These qualifications would be nice to have: Active Secret Security Clearance Experience Generating Valuable Metrics from Disparate Systems Experience building Tableau Dashboards Experience building Power BI Dashboards Experience writing Python ETLs and general Data Engineering knowledge Excellent communication skills and customer facing experience. Proven ability to learn and master new technologies and techniques Experience managing databases, data structures, data governance Experience with Windows and UNIX/Linux operating systems Experience with Server/Client SW installation Scripting languages: python, PowerShell, or JavaScript Primary Level Salary Range: $65,800.00 - $98,800.00Secondary Level Salary Range: $0.00 - $0.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Market America, a product brokerage and Internet marketing company that specializes in One-to-One Marketing, is seeking an experienced Staff Data Engineer for our IT team. As a senior member of the Data Engineering team, you will have an important role in helping millions of customers on our SHOP.COM and Market America Worldwide multi-country and multi-language global eCommerce websites intelligently find what they want within different categories, merchant offers, products and taxonomy. We have thousands of 3 rd party affiliates / feeds which goes through ETL and data ingestion pipelines before ingesting into our search systems. We have multiple orchestration pipelines supporting various types of data for products, store offers, analytics, customer behavioral profiles, segments, logs and much more. If you are passionate about data engineering in processing millions of data, ETL processes for products, stores, customers, analytics, this is highly visible role that will provide you the opportunity to make a huge impact in our business and a difference to millions of customers worldwide. Data engineering team processes large amounts of data that we import and collect. The team works to enrich content, pricing integration, taxonomy assignments and algorithms, category classifier nodes and machine learning integration within the pipeline. Key Responsibilities: Must have minimum of 10-12 years of hands-on development experience implementing batch and events driven applications using Java, Kafka, Spark, Scala, PySpark and Python Experience with Apache Kafka and Connectors, Java, Springboot in building event driven services, Python in building ML pipelines Develop data pipelines responsible for ingesting large amounts of different kinds of data from various sources Help evolve data architecture and work on Next Generation real time pipeline algorithms and architecture in addition to supporting and maintaining current pipelines and legacy systems Write code and develop worker node for business logic, ETL and orchestration processes Develop algorithms for better attribution rules and category classifiers Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive search, discovery, and recommendations. Work closely with architects, engineers, data analysts, data scientists, contractors/consultants and project managers in assessing project requirements, design, develop and support data ingestions and API services Work with Data Scientists in building feature engineering pipelines and integrating machine learning models during content enrichment process Able to influence on priorities working with various partners including engineers, project management office and leadership Mentor junior team members, define architecture, code review, hands-on development and deliver the work in sprint cycle Participate in design discussions with Architects and other team members for the design of new systems and re-engineering of components of existing systems Wear Architect hat when required to bring new ideas to the table, thought leadership and forward thinking Take holistic approach to building solutions by thinking big picture and overall solution Work on moving away from legacy systems into next generation architecture Take complete ownership from requirements, solution design, development, production launch and post launch production support. Participate in code reviews and regular on-call rotations. Desire to apply best solution in the industry, apply correct design patterns during development and learn best practices and data engineering tools and technologies Required Skills & Experience: BS or MS in Computer Science (or related field) with 10+ years of hands-on software development experience working in large-scale data processing pipelines Must have skills are Apache Spark, Scala and PySpark with 2-4 years of experience building production grade batch pipelines that handle large volumes of data. Must have at least 4+ years of experience in Java and API / Microservices Must have at least 2+ years of experience in Python 2+ years of experience in understanding and writing complex SQL and stored procedures for processing raw data, ETL, data validation, using databases such as SQL Server, Redis and other NoSQL DBs Knowledge of Big data technologies, Hadoop, HDFS Expertise with building events driven pipelines with Kafka, Java / Spark, Apache Flink Expertise with Amazon AWS stack such as EMR, EC2, S3 Experience working with APIs to collect and ingest data as well build the APIs for business logic Experience working with setting up, maintaining, and debugging production systems and infrastructure Experience in building fault-tolerant and resilient system Experience in building worker nodes, knowledge of REST principles and data engineering design patterns In-depth knowledge of Java, Springboot, Spark, Scala, PySpark, Python, Orchestration tools, ESB, SQL, Stored procedures, Docker, RESTful web services, Kubernetes, CI/CD, Observability techniques, Kafka, Release processes, caching strategies, versioning, B&D, BitBucket / Git and AWS Cloud Eco-system, NoSQL Databases, Hazelcast Strong software development, architecture diagramming, problem-solving and debugging skills Phenomenal communication and influencing skills Nice to Have: Exposure to Machine Learning (ML), LLM models, using AI during coding, build with AI Knowledge of Elastic APM, ELK stack and search technologies such as Elasticsearch / Solr Nice to have some experience in workflow orchestration tools such as Air Flow or Apache NiFi Market America offers competitive salary and generous benefits, including health, dental, vision, life, short and long-term disability insurance, a 401(k) retirement plan with company match, and an on-site health clinic. Qualified candidates should apply online. This position will work remotely based from our Miami FL offices. Sorry, we are NOT able to sponsor for this position. Market America is proud to be an equal opportunity employer. Market America | SHOP.COM is changing the way people shop and changing the economic paradigm so anyone can become financially independent by creating their own economy and converting their spending into earning with the Shopping Annuity . ABOUT MARKET AMERICA, INC. & SHOP.COM Market America Worldwide | SHOP.COM is a global e-commerce and digital marketing company that specializes in one-to-one marketing and is the creator of the Shopping Annuity . Its mission is to provide a robust business system for entrepreneurs, while providing consumers a better way to shop. Headquartered in Greensboro, North Carolina, and with eight sites around the globe, including the U.S., Market America Worldwide was founded in 1992 by Founder, Chairman & CEO JR Ridinger. Through the company's primary, award-winning shopping website, SHOP.COM, consumers have access to millions of products, including Market America Worldwide exclusive brands and thousands of top retail brands. Further, SHOP.COM ranks 19th in Newsweek magazine's 2021 Best Online Shops, No. 52 in Digital Commerce 360's (formerly Internet Retailer) 2021 Top 1,000 Online Marketplaces, No. 79 in Digital Commerce 360's 2021 Top 1,000 Online Retailers and No. 11 in the 2021 Digital Commerce 360 Primary Merchandise Category Top 500. The company is also a two-time winner of the Better Business Bureau's Torch Award for Marketplace Ethics and was ranked No. 15 in The Business North Carolina Top 125 Private Companies for 2021. By combining Market America Worldwide's entrepreneurial business model with SHOP.COM's powerful comparative shopping engine, Cashback program, Hot Deals, ShopBuddy , Express Pay checkout, social shopping integration and countless other features, the company has become the ultimate online shopping destination. For more information about Market America Worldwide: MarketAmerica.com For more information on SHOP.COM, please visit: SHOP.COM

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

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. Key Words to search in Resume Data Science, Python, Pandas, PostgreSQL, PyTest, Machine Learning, CI/CD, SQL Performance, Airflow, Docker, Kafka. Pre-Screening Questionnaire * Experience with SQL Alchemy, Airflow, or Prefect for workflow orchestration. * Knowledge of cloud platforms (GCP) and containerization (Docker). * Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). Salary range:& nbsp; $120,000 to $140,000 per year

HealthPlan Services (HPS) is the nation's largest independent provider of sales, benefits administration, retention, reform and technology solutions to the insurance and managed care industries. Headquartered in Tampa, Florida, HPS was founded in 1970 and employs 1,500+ associates. HPS stands at the forefront of the insurance industry, providing exchange connectivity, administration, distribution and technology services to insurers of individual, small group, voluntary and association plans, as well as valuable solutions to thousands of brokers and agents, nationwide. Job Description Position: ETL Architect The ETL Architect will have experience delivering BI solutions with an Agile BI delivery methodology. Essential Job Functions and Duties: Develop and maintain ETL jobs for data warehouses/marts Design ETL via source-to-target mapping and design documents that consider security, performance tuning and best practices Collaborate with delivery and technical team members on design and development Collaborate with business partners to understand business processes, underlying data and reporting needs Conduct data analysis in support of ETL development and other activities Assist with data architecture and data modeling Preferred Qualifications: 12+ years of work experience as Business Intelligence Developer Work experience with multiple database platforms and BI delivery solutions 10+ years of experience with End to End ETL architecture , data modeling BI and Analytics data marts, implementing and supporting production environments. 10+ years of experience designing, building and implementing BI solutions with modern BI tools like Microstrategy, Microsoft and Tableau Experience as a Data Architect Experience delivering BI solutions with an Agile BI delivery methodology Ability to communicate, present and interact comfortably with senior leadership Demonstrated proficiency implementing self-service solutions to empower an organization to generate valuable actionable insights Strong team player Ability to understand information quickly, derive insight, synthesize information clearly and concisely, and devise solutions Inclination to take initiative, set priorities, take ownership of assigned projects and initiatives, drive for results, and collaborate to achieve greatest value Strong relationship-building and interpersonal skills Demonstrated self-confidence, honesty and integrity Conscientious of Enterprise Data Warehouse Release management process; Conduct Operations readiness and environment compatibility review of any changes prior to deployment with strong sensitivity around Impact and SLA Experience with data modeling tools a plus. Expert in data warehousing methodologies and best practices required. Ability to initiate and follow through on complex projects of both short and long term duration required. Works independently, assumes responsibility for job development and training, researches and resolves questions and problems, requests supervisor input and keeps supervisor informed required. Proactive recommendation for improving the performance and operability of the data warehouse and reporting environment. Participate on interdepartmental teams to support organizational goals Perform other related duties and tasks as assigned Experience facilitating user sessions and gathering requirements Education Requirements: Bachelors or equivalent degree in a business, technical, or related field Additional Information All your information will be kept confidential according to EEO guidelines.

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.

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 Why This Role Exists Games generate mountains of data - player behavior, progression curves, economies, feature experiments, live ops events. The challenge isn't collecting it. It's turning it into decisions that make games more fun, more engaging, and more profitable. We're looking for a gaming-savvy data scientist who can uncover player insights, balance competing KPIs, and help shape game design using evidence - not guesswork. If you enjoy digging into player funnels, A/B test results, and economy models to answer “why did players do that?” - you'll fit right in. What You'll Do (Your Day-to-Day in Game Terms) Analyze player behavior, engagement, retention, monetization, and progression across our games Design and maintain dashboards that track live game performance and guide real-time decisions Partner closely with Game Designers, Product, Live Ops, and Game Intelligence teams to embed data into design and operational choices Define and evolve core game KPIs (DAU/MAU, ARPDAU, LTV, churn, conversion, feature performance) Lead A/B tests and experiments to evaluate features, balancing changes, and live ops events Translate complex player data into clear insights and narratives that non-data teammates can act on Help drive a culture where data informs game design - without killing creativity Stay current on game analytics trends, tools, and best practices Nice-to-Haves (a.k.a. “You'll impress us if you bring these”): Building predictive models for churn, LTV, player segmentation, or personalization Advanced statistical modeling or simulation for game economies and feature impact What You Bring to the Table Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or a related field Hands-on experience with A/B testing, experimentation, and feature analysis Strong problem-solving skills and comfort working in ambiguous, real-world game scenarios 4+ years of industry experience in data science, analytics, ML, or predictive modeling (preferred) Experience applying machine learning or AI where it actually adds value (not just because it's cool) Master's degree preferred for senior-level candidates Highly preferred: experience working with online gaming datasets, especially slot or casino-style games Your Analytics Toolkit Data & BI tools: SQL, Snowflake, Tableau, Power BI, Excel Programming & analysis: Python, R, Java, SAS Machine learning & AI platforms: TensorFlow, Azure ML Studio, or similar Strong foundation in statistics, data mining, pattern recognition, and predictive modeling Why Gaming Data Scientists Like This Role Your insights directly influence game design, player experience, and revenue outcomes You'll work alongside designers and product leaders who actually want data at the table You'll analyze live games with real player impact, not abstract datasets You'll help balance the art and science of game development If you love games, think in funnels and cohorts, and enjoy turning player data into smarter design decisions - we'd love to hear from you.

Data Scientist / Analytics Lead - Gaming Focus - ONSITE S. Palm Beach County location We are seeking a highly agile Data Scientist to drive real-time insights that directly influence game performance, player behavior, and business decisions. This role requires someone who can think on their feet, connect patterns quickly, and translate data into action in a fast-moving gaming environment. What This Role Does Own game and business KPIs, from definition through ongoing optimization Build and evolve dashboards and analytics used daily by Game Design and Leadership Analyze player behavior, game performance, and experiments (A/B testing) Quickly identify trends, anomalies, and opportunities - and act on them Translate complex data into clear, compelling stories that drive decisions Partner closely with Game Designers, Product, and Management in a rapid-iteration environment What We're Looking For Strong analytical instincts and the ability to problem-solve independently Comfort working with incomplete or evolving data Experience influencing decisions, not just reporting numbers Bachelor's degree in Statistics, Applied Math, Data Science, or related field Proficiency with SQL, Tableau or Power BI, Excel, and Python or R Experience with A/B testing and performance measurement Nice to Have Experience with predictive modeling, machine learning, or AI Familiarity with gaming or online player data (slots a plus) Experience with Snowflake and modern data stacks Master's degree for senior-level candidates Why This Role Is Different This is not a back-office analytics role. Success requires speed, curiosity, and judgment - someone who can spot patterns fast, ask the right questions, and influence outcomes in real time. Laurie Roth President/Sr. Consultant DSN-IT ************ ************* ************** ****************************************************

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Job Description We are looking to fill a position for Data Scientist in Juno Beach FL. Qualifications • Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.

Optimal Solutions & Technologies (OST, Inc.) is focused on excellence. We specialize in providing Management Consulting, Information Technology, and Research Development and Engineering services. The fundamental distinction of the OST team is its business knowledge in both the public and private sectors. We serve the aerospace & transportation, association & nonprofit, defense, education, energy, financial, healthcare, and technology & telecommunications industries. OST is successful because we listen to our clients, we learn from our clients, and we know our clients. Data Scientist I Description of specific duties in a typical workday for this position: * Applies statistics and data science methods to develop insights, prototypes, and decision-support analyses that improve CPE-STRI program performance and modernization outcomes as well as supporting Agile Solution Implementation for providing proactive metrics analysis (e.g. Velocity and Capacity Forecasting) * Works with senior data scientists and engineers to prepare data, run experiments, and communicate results to technical and non-technical stakeholders. * Key Responsibilities include: * Perform exploratory data analysis, feature engineering, and baseline model development. * Develop reproducible notebooks/scripts and document assumptions, methods, and results. * Support model validation, bias checks, and monitoring plans. * Collaborate with engineers to transition prototypes into deployable pipelines where appropriate. Requirements (Years of experience, Education, Certifications): * 5 years of experience with BA/BS (or equivalent). * Experience with Python/R and common statistical/ML libraries; comfortable communicating analytic results. * Familiarity with data ethics, validation, and reproducibility practices. * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field * Active SECRET strongly desired; ability to obtain and maintain SECRET (or higher) required. Task-order DD254 may require higher clearance (e.g., TS/SCI). Nice to Have (skills that are not required, but nice to have): * Exposure to operational datasets and performance metrics in DoD or large enterprise contexts * Experience with visualization tools to communicate results * Experience working with protected data and RBAC This is a full-time position paying a base salary, full benefits, and has possible bonus potential based on merit and performance. To be considered for this position, please apply online with a resume. OST is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local laws.

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities * Analyze and Monitor Network Performance * Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. * Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. * Modeling & Optimization * Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. * Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. * Reporting & Governance * Develop periodic performance and reliability reports for customers, assisting in presentation creation * Produce regular and ad hoc reports to monitor compliance with established operating parameters. * Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. * Cross-Functional Collaboration * Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. * Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. * Innovation & Continuous Improvement * Identify opportunities to streamline workflows and automate recurring analyses. * Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications * Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) * Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. * 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning * Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. * Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. * Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. * A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. * Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $109,500 -148,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement "Know Your Rights: Workplace Discrimination is Illegal" Poster The "EEO Is The Law" Poster