Data engineer jobs in Jacksonville, FL - 186 jobs

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.

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies. Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products. Our History After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country. Job Description This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required • Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks • Implementing processes that improve and lead to greater data quality • Conducting statistical analyses to develop strategies • Documenting all processes and research • Building new algorithms and model training • Executing projects involving analytics • Identifying data patterns and trends • Analyzing data to develop predictive models • Creating, managing, and maintaining analytically rigorous data • Possessing a solid machine learning foundation • Proven record of successful statistical product delivery • Ability to execute health insurance use cases via statistical applications such as R or Python • Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) • Significant experience with SQL and working with large datasets required • Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and running diagnostics • Performing graphical model analysis • Strong verbal and written communication skills Additional Information Candidates would Roll Perm at some point

We are seeking a talented and collaborative Data Scientist to join our team in a contract-to-hire capacity. This role is ideal for someone who combines strong technical expertise with the ability to clearly communicate insights to diverse audiences. The team has an expected start date for February. As a Data Scientist, you will play a key role in transforming complex data into actionable insights that drive decision-making. Success in this role requires not only analytical strength, but also humility, emotional intelligence, and the ability to collaborate effectively under tight deadlines and differing perspectives. What You'll Do Analyze large, complex datasets to identify trends, patterns, and insights that inform business and strategic decisions Develop and apply statistical models, analytical frameworks, and/or machine learning techniques Translate technical findings into clear, compelling narratives for both technical and non-technical stakeholders Create visualizations, reports, and presentations that make data easy to understand and act upon Collaborate closely with cross-functional teams to define requirements and deliver data-driven solutions Manage competing priorities and deadlines with professionalism and adaptability Apply strong emotional intelligence when navigating conflict, ambiguity, or differences of opinion Maintain high standards for data quality, documentation, and analytical rigor What You'll Need (Required Qualifications) Strong technical acumen in data analysis, statistics, and/or machine learning Proven ability to communicate complex data concepts clearly and effectively Excellent written and verbal communication skills Demonstrated humility and a collaborative, team-first mindset High emotional intelligence, with the ability to handle conflict and pressure constructively Experience working in fast-paced or high-accountability environments Bonus Points For (Preferred Qualifications) Background in consulting firms Experience in military, academia, or federal environments Prior contract roles with successful transition to full-time employment Experience working with diverse stakeholders across organizational levels WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Insight Global's client is looking for a Senior Data Engineer to join their Finance and Operations team, responsible for designing and maintaining Azure-based data pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and operational data domains will stand out. This is a full-time onsite position in either the Jacksonville, D.C., or New Jersey office, working closely with global teams to ensure data quality, automation, and continuous improvement. Compensation ranges from $70-74 an hour based on experience. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements st Haves: - Experience: 8+ years in data engineering. - Technical Expertise: § Azure (cloud platform) § SQL (advanced ETL and query optimization) § dbt (data transformation pipelines) § Python (data transformation and automation scripts) § Azure DevOps / GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Day to Day: - Develop and maintain Azure-based data pipelines for Finance and Operations. - Build and optimize ETL workflows using SQL and dbt. - Write Python scripts for data transformation and automation. - Deploy infrastructure as code and manage cloud data solutions. - Collaborate with project managers and contractors across global teams. - Ensure data quality and compliance with best practices. - Troubleshoot and resolve data-related issues promptly. Document technical solutions and maintain test scripts. Plusses: - Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform) - Familiarity with infrastructure as code - Ability to participate in architectural decisions Strong problem-solving and continuous improvement mindset

Analyzes data requirements, application and processing architectures, data dictionaries, and database schema(s). Designs, develops, amends, optimizes, and certifies database schema design to meet system(s) requirements. Gathers, analyzes, and normalizes relevant information related to, and from business processes, functions, and operations to evaluate data credibility and determine relevance and meaning. Develops database and warehousing designs across multiple platforms and computing environments. Develops an overall data architecture that supports the information needs of the business in a flexible but secure environment. Develops reports and provide them to clients via Reporting Services/SharePoint. Performs other related duties as assigned. Qualifications Top skills/preferences in the role (please include any relevant technologies needed): Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS) - SQL Server Analysis Sevices (SSAS) - Debugging / development of SQL scripts - Bachelor's degree in Computer Science, Information Systems or the equivalent combination of education, training, or work experience Additional Information All your information will be kept confidential according to EEO guidelines. **Please let me know if you might someone to refer or if you are interested for the role. **Please reply with an updated copy of your resume and preferred time for a call. **You can call me back at ************ .

Are you ready to play a pivotal role in shaping the future of Data & Analytics? As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions. Your contributions will be instrumental in transforming the processes and tools for data, analysis, and modeling. As an Applied AI/ML Engineer within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, Analysis, and Modeling. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and improve data quality. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry. Job Responsibilities: Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement Required qualifications, capabilities, and Skills: 7+ years of work experience. Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc Proven track record of delivering projects in the AI/ML and data analytics space Proficiency in Python. Experience with foundation LLMs (e.g., GPT-5, Claude), RAG, Agents. Strong understanding of software engineering principles and practices, including version control, testing, and code optimization Technical documentation experience preferred. Preferred qualifications, capabilities and skills: Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.

Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. Excellent written and verbal communication; proactive and collaborative mindset. Comfortable in hybrid or distributed environments with strong ownership and accountability. A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. Expert SQL (query optimization on large datasets) and Python skills. Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Bonus: Strong Node.js skills for faster onboarding and system integration. Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services. Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed. Position Description As a Salesforce Data 360 Leader, you will be responsible for driving the vision, strategy, and execution of Data 360 initiatives, which involves unifying customer data to power personalized experiences. You will be a consultative leader working with our top clients to demonstrate how Data 360 can solve key business challenges, create new growth opportunities, and work effectively complementing their other data products. You will be responsible for leading the design, development, and maintenance of the data architecture, data models, and standards for various Data projects. Key Responsibilities: Solution Design & Architecture Architecting and implementing end-to-end solutions using Salesforce Data 360, Marketing Cloud, Service Cloud, Agentforce, and Experience Cloud Designing data ingestion, identity resolution, harmonization, segmentation, and activation flows Defining data models, entity relationships, and data mapping strategies across multiple systems Establishing governance, data lineage, and metadata management frameworks within Salesforce Data Cloud Integration & Implementation Designing and overseeing data pipelines integrating Salesforce Data 360 with enterprise data lakes, APIs, and real-time streaming platforms Collaborating with integration teams using MuleSoft, Kafka, Informatica, or AWS Glue for data movement Implementing and optimizing identity resolution rules, data transformations, and calculated insights Advisory & Strategy Partnering with business teams to identify use cases for personalization, insights, and automation Defining data governance, privacy, and consent frameworks aligning with compliance standards (GDPR, CCPA, etc.) Advising on platform scalability, performance tuning, and cost optimization strategies Collaboration & Leadership Leading technical discussions and providing architectural guidance to developers and administrators Collaborating with Salesforce Customer Success and Partner teams to align roadmap and capabilities Creating architecture diagrams, data flow documentation, and best practice playbooks Workplace: Fulltime position with comprehensive benefits package, based in USA Must Have Skills: Bachelor's degree in computer science, engineering, IT, or a related field 10+ years of overall IT experience with 3+ years in Salesforce architecture roles Proven experience implementing or architecting Salesforce Data 360 (Cloud/CDP/Genie) solutions Experience advising customers on where Data Cloud is the optimal solution, how it integrates with existing products, and crafting a strategy for implementation and usage Experience cultivating strong and long-lasting relationships with customers by proactively addressing their needs, exceeding expectations, and fostering a high level of customer satisfaction Deep understanding of: Data modeling, identity resolution, and unification ETL/ELT pipelines, API integration, and event streaming Salesforce ecosystem: Marketing Cloud, Service Cloud, Experience Cloud, CRM Analytics Experience with data management, governance, and compliance frameworks Strong grasp of Salesforce data architecture and Security Model (OAuth, Shield, etc.) Knowledge of SQL, JSON, data mapping, and transformation logic Experience with AI/ML data activation use cases (Einstein, Tableau CRM, or external models) Experience integrating with either Snowflake, AWS, Azure, or Google Cloud Familiarity with real-time analytics and customer journey orchestration tools A strong ability to troubleshoot issues and solve business problems using the Salesforce platform and Data 360 Preferred Skills: Salesforce certifications such as: Salesforce Data Cloud Accredited Professional Salesforce Certified Application Architect / System Architect Salesforce Marketing Cloud Consultant / Developer Salesforce Integration Architect Professional Skills: Skills in communicating complex technical information clearly to both technical and non-technical stakeholders, including executives Ability to lead and collaborate with cross-functional teams The capacity to adapt to a rapidly changing platform and technology landscape Maintains composure during all types of situations and is collaborative by nature High standards of professionalism, consistently producing high quality results Demonstrate flexibility and openness to bring creative solutions to address issues Bridgenext is an Equal Opportunity Employer US citizens and those authorized to work in the US are encouraged to apply #LI-MA1 #LI-REMOTE

SYSRS IT Services specializes in offering IT Services: Technology Services, Consulting Services, Software Solutions and Applications. Incorporated in 2013, SYSRS IT Services focuses on innovative and practical delivery of services to meet the critical IT missions of its clients. At SYSRS IT Services, we are committed to serving our customers with a wide range of information technology services and solutions with guaranteed satisfaction, friendly and professional service, during convenient hours of operation, and resulting in a great onsite/offsite experience. Job Requisition: Sr. Data Analytics Engineer Job Description: Leidos is seeking a Senior Data Analytics Engineer to develop a new data analytics platform service offering for a federal client. You will contribute to establishing the ingestion patterns, data storage patterns, data transformation methods, and data lake formation. You'll support data architecture-related activities through business needs analysis and routine issue resolution, including data pipeline design and data lake solution design. Put your consulting expertise to use to drive our future Data Analytics platform. Primary Responsibilities: Develop future state data architecture in consultation and alignment with the enterprise architecture team. Help the architecture team put together conceptual, logical, and physical data architecture and define the technical roadmap to the future state. Design data warehouse/data marts/data lakes/data hubs solutions and work with various data warehouse technologies to develop plans that best support the Program. In collaboration with technical leads and subject matter experts (SME), develop and manage architecture framework and design patterns of data analytics, integration, and visualization platform as per standards and industry best practices. Ability to analyze and evaluate new products as it relates to data lake/processing/analytics and suggest platform architecture modifications as necessary Participate in customer meetings to review business requirements and maintain the traceability of data sources and artifacts. Support data migration from the current state to the future state platform. Provide technical guidance and consultation and clarify technical and business requirements to development teams. Translate business needs into enterprise data architecture requirements and identify and forecast future state data architecture alternatives. Experiment with cloud-native, serverless tools and advise on new tools to determine optimal solutions given the requirements dictated by the use case. Expert in both traditional and modern data architecture and processing concepts, including relational databases, data warehousing, big data, NoSQL, and business analytics Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Ability and desire to conduct hands-on data tool development work to complete proofs of concept Provide periodic briefings to peers and leadership on the state of the data architecture. Ability to multitask, problem-solving skills, and customer management skills are required. Ability and desire to work with other program staff and customers to reach design decisions within given constraints Qualifications Basic Qualifications: Candidate must have bachelor's or master's degree with prior relevant experience. Must have 8+ years of Data Analytics experience. Experience in data pipeline architecture design, development, and optimization. Working experience or familiarity with AWS data analytics tools like Redshift, EMR, Data Lake Formation, AWS Glue, AWS Glue Brew, AWS Athena, Lambda, AWS Data Pipeline, Cognito, Quicksight, and S3. Experience with a variety of database technologies: RDBMS, NoSQL, search, data lakes. Experience with one or more visualization tools such as Power BI, Tableau, and Qlik. Additional Information Preferred Qualifications: Experience with AWS-specific data management and analytics strategies. Experience doing trade analysis on multiple data analytics tooling options supporting data lake and visualization layer.

Job DescriptionSQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL Data Engineer! This position is a hybrid position located in Jacksonville, FL, working 2-3 days onsite and other days remote. This is starting out as a contract position running through April 2025 with strong potential to extend longer or convert to FTE. This is a fantastic opportunity to join a well-respected organization offering tremendous career growth potential. At ARC Group, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives lead to better innovation and problem-solving. As an organization, we embrace diversity in all its forms and encourage individuals from underrepresented groups to apply. C2C OR W2 Interview: 1st round: Video Webex interview 2nd round: Face-to-Face interview in Jacksonville, FL Reference# 17429-1 Onsite in Jacksonville, FL [Must be willing to work onsite from Jacksonville, FL] JOB SUMMARY: Responsible for development, programming, coding of Information Technology solutions using Python to enable enterprise Customer Experience applications. Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products. Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. REQUIREMENTS: Experience with unit testing, release procedures, coding design and documentation protocol as well as change management procedures Demonstrated organizational, analytical and interpersonal skills In-depth understanding of the systems development life cycle May include database knowledge in; SQL, MySQL, Oracle DB, PostgreSQL, Cassandra, dBase, MS Access, etc Responsible for development, programming, coding of Information Technology solutions using Python Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products. Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. Excellent understanding of RESTful Architecture style. We expect the candidate to have ability to take methodical approach to evaluate various libraries with pros and cons to meet business / technical requirements. Excellent understanding of Python programming mode and required libraries to develop REST API Services. Must have demonstrated experience developing REST APIs using Python. Must have demonstrated experience processing batch files using Python Must have demonstrated experience developing scheduling of batch processes Proficiency using standard desktop applications such as MS Suite and flowcharting tools such as Visio REQUIRED EDUCATION/EXPERIENCE: Related Bachelors degree or related work experience 5+ years related work experience, professional experience with technical design and coding in the IT industry UNIX or Linux shell scripting Advanced SQL scripting/querying Working knowledge of PySpark as well as Hadoop environment required Strong focus on working/analysis with very large data sets (millions of records) Technical curiosity and willingness to learn (asks questions, learns processes, data flow, etc.) Would you like to know more about our new opportunity?For immediate consideration, please apply online and view all our open positions at ******************* ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed. At ARC Group, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position is offered with no fee to candidate.

Who You'll Work With In our Salesforce business, we help our clients bring the most impactful customer experiences to life and we do that in a way that makes our clients the hero of their transformation story. We are passionate about and dedicated to building a diverse and inclusive team, recognizing that diverse team members who are celebrated for bringing their authentic selves to their work build solutions that reach more diverse populations in innovative and impactful ways. Our team is comprised of customer strategy experts, Salesforce-certified experts across all Salesforce capabilities, industry experts, organizational and cultural change consultants, and project delivery leaders. As the 3rd largest Salesforce partner globally and in North America, we are committed to growing and developing our Salesforce talent, offering continued growth opportunities, and exposing our people to meaningful work that aligns to their personal and professional goals. We're looking for individuals who have experience implementing Salesforce Data Cloud or similar platforms and are passionate about customer data. The ideal candidate has a desire for continuous professional growth and can deliver complex, end-to-end Data Cloud implementations from strategy and design, through to data ingestion, segment creation, and activation; all while working alongside both our clients and other delivery disciplines. Our Global Salesforce team is looking to add a passionate Principal or Senior Principal to take on the role of Data Cloud Architect within our Salesforce practice. What You'll Do: Responsible for business requirements gathering, architecture design, data ingestion and modeling, identity resolution setup, calculated insight configuration, segment creation and activation, end-user training, and support procedures Lead technical conversations with both business and technical client teams; translate those outcomes into well-architected solutions that best utilize Salesforce Data Cloud and the wider Salesforce ecosystem Ability to direct technical teams, both internal and client-side Provide subject matter expertise as warranted via customer needs and business demands Build lasting relationships with key client stakeholders and sponsors Collaborate with digital specialists across disciplines to innovate and build premier solutions Participate in compiling industry research, thought leadership and proposal materials for business development activities Experience with scoping client work Experience with hyperscale data platforms (ex: Snowflake), robust database modeling and data governance is a plus. What You'll Bring: Have been part of at least one Salesforce Data Cloud implementation Familiarity with Salesforce's technical architecture: APIs, Standard and Custom Objects, APEX. Proficient with ANSI SQL and supported functions in Salesforce Data Cloud Strong proficiency toward presenting complex business and technical concepts using visualization aids Ability to conceptualize and craft sophisticated wireframes, workflows, and diagrams Strong understanding of data management concepts, including data quality, data distribution, data modeling and data governance Detailed understanding of the fundamentals of digital marketing and complementary Salesforce products that organizations may use to run their business. Experience defining strategy, developing requirements, and implementing practical business solutions. Experience in delivering projects using Agile-based methodologies Salesforce Data Cloud certification preferred Additional Salesforce certifications like Administrator are a plus Strong interpersonal skills Bachelor's degree in a related field preferred, but not required Open to travel (up to 50%) 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 role, we are hiring at the following levels and salary ranges: East Bay, San Francisco, Silicon Valley: Principal: $184,000-$225,000 San Diego, Los Angeles, Orange County, Seattle, Boston, Houston, New Jersey, New York City, Washington DC, Westchester: Principal: $169,000-$206,000 All other locations: Principal: $155,000-$189,000 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. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: ********************. We will accept applications until January 30, 2025 or until the position is filled. 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 or contact ****************************** if you require accommodations during the interview process.

JobID: 210691335 JobSchedule: Full time JobShift: : Are you ready to play a pivotal role in shaping the future of Data & Analytics? As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions. Your contributions will be instrumental in transforming the processes and tools for data, analysis, and modeling. As an Applied AI/ML Engineer within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, Analysis, and Modeling. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and improve data quality. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry. Job Responsibilities: * Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives * Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies * Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance * Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise * Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows * Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices * Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders * Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency * Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement Required qualifications, capabilities, and Skills: * 7+ years of work experience. * Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc * Proven track record of delivering projects in the AI/ML and data analytics space * Proficiency in Python. * Experience with foundation LLMs (e.g., GPT-5, Claude), RAG, Agents. * Strong understanding of software engineering principles and practices, including version control, testing, and code optimization * Technical documentation experience preferred. Preferred qualifications, capabilities and skills: * Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection Shared Services - Advanced Analytics is looking for an energetic and inquisitive data scientist to join our team and help us combat financial crime. In this role, you will be expected to work on large and complex data science projects that entail working with both relational and graph databases. In these projects, it is expected to collaborate with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic initiatives, large-scale projects, and overall improvements. Responsibilities: * Perform graph analytics to find and mitigate densely connected fraud networks * Assist with the generation, prioritization, and investigation of fraud rings * Enable business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and data driven insights * Understanding of end-to-end model development work, ranging from supervised, unsupervised, and graph-based machine learning solutions, to maximize detection of fraud or capture anomalous behavior * Manage multiple priorities and ensures quality and timeliness of work deliverables such as data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment * Manage relationships with multiple technology teams, development team, and line of business leaders, including alignment of roadmaps, managing projects, and managing risks * Oversee development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business * Support the identification of potential issues and development of controls * Support execution of large-scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytical-based insights * Manages a roadmap of data science use cases to answer business trends based on economic and portfolio conditions and communicate findings to senior management, while diligently working and leading peers to solve for these use cases * Coach and mentor peers to improve proficiency in a variety of systems and serve as a subject matter expert on multiple business and technical-related topics * Apply agile practices for project management, solution development, deployment, and maintenance * Deliver presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables * Maintain knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics * Engage business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts Required Qualifications: * 4+ years of experience in data and analytics * 4+ years of experience in data analytics within fraud prevention * Must be proficient with SQL and one of SAS, Python, or Java * Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages * Problem-solving skills including selection of data and deployment of solutions * Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team * Excellent communication and influencing skills * Thrives in fast-paced and highly dynamic environment * Intellectual curiosity and strong urge to figure out the "whys" of a problem and produce creative solutions * Exposure to model development leveraging supervised and unsupervised machine learning (regression, tree-based algorithms, etc.) * Expertise in data analytics and technical development lifecycles including having coached junior staff * Expertise handling and manipulating data across its lifecycle in a variety of formats, sizes, and storage technologies to solve a problem (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) Desired Qualifications * Advanced Quantitative degree (Master's or PhD) * 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas * Understanding of advanced machine learning methodologies including neural networks, graph algorithms, ensemble learning like XGB, and other techniques * Proficient with SPARK, H2O, or similar advanced analytical tools * Analytical and Innovating Thinking * Problem Solving and Business Acumen * Risk and Issue Management, interpreting relevant laws, rules, and regulations * Data Visualization, Oral and Written Communication, and Presentation Skills * Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects * Experience influencing mid to senior (executive) level leaders * Experience managing risk and issue remediation * Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: * Agile Practices * Application Development * DevOps Practices * Technical Documentation * Written Communications * Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation Skills * Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures, and Guidelines Management It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Shift: 1st shift (United States of America) Hours Per Week: 40

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies. Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products. Our History After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country. Job Description This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required • Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks • Implementing processes that improve and lead to greater data quality • Conducting statistical analyses to develop strategies • Documenting all processes and research • Building new algorithms and model training • Executing projects involving analytics • Identifying data patterns and trends • Analyzing data to develop predictive models • Creating, managing, and maintaining analytically rigorous data • Possessing a solid machine learning foundation • Proven record of successful statistical product delivery • Ability to execute health insurance use cases via statistical applications such as R or Python • Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) • Significant experience with SQL and working with large datasets required • Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and running diagnostics • Performing graphical model analysis • Strong verbal and written communication skills Additional Information Candidates would Roll Perm at some point

Analyzes data requirements, application and processing architectures, data dictionaries, and database schema(s). Designs, develops, amends, optimizes, and certifies database schema design to meet system(s) requirements. Gathers, analyzes, and normalizes relevant information related to, and from business processes, functions, and operations to evaluate data credibility and determine relevance and meaning. Develops database and warehousing designs across multiple platforms and computing environments. Develops an overall data architecture that supports the information needs of the business in a flexible but secure environment. Develops reports and provide them to clients via Reporting Services/SharePoint. Performs other related duties as assigned. Qualifications Top skills/preferences in the role (please include any relevant technologies needed): Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS) - SQL Server Analysis Sevices (SSAS) - Debugging / development of SQL scripts - Bachelor's degree in Computer Science, Information Systems or the equivalent combination of education, training, or work experience Additional Information All your information will be kept confidential according to EEO guidelines. **Please let me know if you might someone to refer or if you are interested for the role. **Please reply with an updated copy of your resume and preferred time for a call. **You can call me back at ************.

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. Join Our Team as a Data Engineering Manager Are you a strategic technical leader who thrives at the intersection of innovation, data, and collaboration? TEA is looking for a Data Engineering Manager to guide the development of our enterprise data ecosystem and drive cloud-first, data-centric solutions that support both internal teams and external clients. In this high-impact role, you'll partner directly with Managers and Directors across the organization, influencing data strategy while leading a team of talented engineers to build scalable, secure, and business-critical data products. If you love shaping strategy and rolling up your sleeves to solve complex problems-whether designing cloud architectures, reviewing critical implementations, or modeling best practices-this is an opportunity to make your mark. You'll play a pivotal role in TEA's cloud transformation and help define the future of data at TEA. What You'll Do Identify and articulate effective cloud-based strategies to meet TEA's evolving data engineering needs Lead the design and development of business-critical and client-supporting cloud data solutions Ensure the stability, integrity, security, and efficient operation of cloud data solutions supporting analytics and machine learning initiatives Lead the development of TEA's Data Lake architecture, including data modeling, ELT processes, and data pipeline standards Recruit, mentor, and develop engineers to build a high-performing and collaborative team Influence decision-making and champion best practices across engineering and business stakeholder groups Technical Skills We're Looking For Expertise in Microsoft Azure (Azure Data Lake, Azure Databricks, Fabric, Azure Data Factory) Deep expertise in Azure Databricks, including Notebook development, Workflows, and Asset Bundles Proven ability to design and implement modern data architectures (data lakes, warehouses, lakehouses, data mesh, streaming pipelines) Proficiency in Python, PySpark, SQL, and modern data engineering frameworks Strong understanding of APIs, data integration patterns, data governance frameworks, and security/compliance standards Experience optimizing pipelines, architectures, and queries for performance and cost Knowledge of data governance, metadata management, and data security principles Language Skills Ability to read, analyze, and interpret technical journals, financial reports, and legal documents Ability to respond to inquiries from customers, regulatory agencies, or business stakeholders Ability to write polished professional content such as presentations, speeches, and publications Ability to effectively present information to senior management, public groups, or boards of directors Management Responsibilities Direct supervision of Enterprise Data Team personnel responsible for Data Engineering functions Interviewing, hiring, training, and developing employees Planning, assigning, and directing daily work Conducting performance evaluations and providing ongoing feedback Rewarding excellence and addressing performance issues Ensuring compliance with organizational policies and applicable laws Promoting strong communication, teamwork, and a culture of accountability Education & Experience Master's degree (M.A.) or equivalent preferred 4-10 years of related experience and/or technical leadership Or an equivalent combination of education and experience If you're ready to lead transformative data initiatives and help shape the future of TEA's data strategy, we'd love to meet you. Apply today and bring your expertise to a team where innovation, collaboration, and impact come together. 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.

Are you ready to play a pivotal role in shaping the future of Data & Analytics? As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions. Your contributions will be instrumental in transforming the processes and tools for data, analysis, and modeling. As an Applied AI/ML Engineer within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, Analysis, and Modeling. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and improve data quality. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry. **Job Responsibilities:** + Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives + Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies + Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance + Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise + Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows + Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices + Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders + Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency + Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement **Required qualifications, capabilities, and Skills:** + 7+ years of work experience. + Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc + Proven track record of delivering projects in the AI/ML and data analytics space + Proficiency in Python. + Experience with foundation LLMs (e.g., GPT-5, Claude), RAG, Agents. + Strong understanding of software engineering principles and practices, including version control, testing, and code optimization + Technical documentation experience preferred. **Preferred qualifications, capabilities and skills:** + Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred. Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

Charlotte, North Carolina;Plano, Texas; Boston, Massachusetts; Chandler, Arizona; Tampa, Florida; Chicago, Illinois; Jacksonville, Florida; Newark, Delaware; Phoenix, Arizona **To proceed with your application, you must be at least 18 years of age.** Acknowledge Refer a friend **To proceed with your application, you must be at least 18 years of age.** Acknowledge (************************************************************************************************************** **Job Description:** At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! **Job Summary:** This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection Shared Services - Advanced Analytics is looking for an energetic and inquisitive data scientist to join our team and help us combat financial crime. In this role, you will be expected to work on large and complex data science projects that entail working with both relational and graph databases. In these projects, it is expected to collaborate with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic initiatives, large-scale projects, and overall improvements. **Responsibilities:** + Perform graph analytics to find and mitigate densely connected fraud networks + Assist with the generation, prioritization, and investigation of fraud rings + Enable business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and data driven insights + Understanding of end-to-end model development work, ranging from supervised, unsupervised, and graph-based machine learning solutions, to maximize detection of fraud or capture anomalous behavior + Manage multiple priorities and ensures quality and timeliness of work deliverables such as data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment + Manage relationships with multiple technology teams, development team, and line of business leaders, including alignment of roadmaps, managing projects, and managing risks + Oversee development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business + Support the identification of potential issues and development of controls + Support execution of large-scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytical-based insights + Manages a roadmap of data science use cases to answer business trends based on economic and portfolio conditions and communicate findings to senior management, while diligently working and leading peers to solve for these use cases + Coach and mentor peers to improve proficiency in a variety of systems and serve as a subject matter expert on multiple business and technical-related topics + Apply agile practices for project management, solution development, deployment, and maintenance + Deliver presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables + Maintain knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics + Engage business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts **Required Qualifications:** + 4+ years of experience in data and analytics + 4+ years of experience in data analytics within fraud prevention + Must be proficient with SQL and one of SAS, Python, or Java + Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages + Problem-solving skills including selection of data and deployment of solutions + Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team + Excellent communication and influencing skills + Thrives in fast-paced and highly dynamic environment + Intellectual curiosity and strong urge to figure out the "whys" of a problem and produce creative solutions + Exposure to model development leveraging supervised and unsupervised machine learning (regression, tree-based algorithms, etc.) + Expertise in data analytics and technical development lifecycles including having coached junior staff + Expertise handling and manipulating data across its lifecycle in a variety of formats, sizes, and storage technologies to solve a problem (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) **Desired Qualifications** + Advanced Quantitative degree (Master's or PhD) + 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas + Understanding of advanced machine learning methodologies including neural networks, graph algorithms, ensemble learning like XGB, and other techniques + Proficient with SPARK, H2O, or similar advanced analytical tools + Analytical and Innovating Thinking + Problem Solving and Business Acumen + Risk and Issue Management, interpreting relevant laws, rules, and regulations + Data Visualization, Oral and Written Communication, and Presentation Skills + Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects + Experience influencing mid to senior (executive) level leaders + Experience managing risk and issue remediation + Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile **Skills:** + Agile Practices + Application Development + DevOps Practices + Technical Documentation + Written Communications + Artificial Intelligence/Machine Learning + Business Analytics + Data Visualization + Presentation Skills + Risk Management + Adaptability + Collaboration + Consulting + Networking + Policies, Procedures, and Guidelines Management **_It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. _** **Shift:** 1st shift (United States of America) **Hours Per Week:** 40 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your **"Know your Rights (************************************************************************************** "** poster. **View the LA County Fair Chance Ordinance (************************************************************************************************** .** Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work. This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Data Architect / Microsoft Power Platform Architect (6‑Month Project) Duration: 6 months (with potential extension) Start: Immediate Employment Type: W2 About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Overview We are seeking a Microsoft Power Platform Architect with strong Data Architecture expertise to support an in‑flight initiative focused on building a pricing application. This role will provide immediate capacity to an existing team of six platform developers, performing a full architectural review of the current solution and optimizing an established design spanning Power Platform (front end) and Databricks/Snowflake (backend). The ideal candidate brings hands-on experience across Power Apps, Power Automate, and modern data engineering and is comfortable stepping into a partially built solution to strengthen quality, stability, and performance. Key Responsibilities Architectural & Technical Leadership * Perform a full end‑to‑end architectural review of the existing pricing application across Power Platform, Databricks, and Snowflake. * Optimize the already-defined architecture, identifying gaps, constraints, and opportunities for improvement. * Provide expert guidance on best practices for Power Platform, data modeling, integration design, and automation patterns. Development & Optimization * Enhance and optimize Power Apps, Power Automate flows, and integrations with Databricks and Snowflake. * Implement improvements to ensure scalability, reliability, and performance of the pricing solution. * Review and refine backend data pipelines, SQL logic, and data transformations as needed. Quality Engineering & Delivery Support * Build and execute end‑to‑end testing strategies, including functional, integration, and regression testing. * Perform bug resolution and troubleshoot issues across both front-end and back-end layers. * Collaborate with the existing team of six developers to ensure smooth delivery and alignment with solution architecture. Cross‑Functional Collaboration * Work closely with product owners, developers, and data engineers to validate technical decisions. * Communicate architectural recommendations clearly to both technical and business stakeholders. * Support Agile ceremonies and sprint planning as needed. Required Skills & Experience * Power Automate (expert level) * Hands-on experience building and optimizing Power Apps * Experience managing and troubleshooting Power Platform flows * Strong understanding of Databricks and Snowflake data architecture * Ability to conduct thorough architectural reviews and produce actionable recommendations * Strong SQL skills for debugging, optimization, and backend analysis * Experience working on mid‑to‑large scale applications within the Power Platform ecosystem Preferred / Nice‑to‑Have Skills * Experience building custom connectors or plug-ins in C# * Agile delivery experience * Power BI (report development or model optimization) * Background in pricing, financial modeling, or workflow-driven applications 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, 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. Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $80/hr to $100/hr. 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 inclusion, diversity, and equity in the workplace. 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. #DMVHOT