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Data Specialist Employment Type:Full-Time, Mid-Level /p> Department: Data Science As a Data Specialist for CGS you will help our government client in processing data using LAW. The ideal candidate will regularly load large volumes of production data; running exports from the database for creating discovery party productions. Downloading files from our file sharing tool, JEFS, and performing quality control on load and export files to ensure accuracy is vital to this job position. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case - Manager and other IT individuals as requested Qualifications: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case Manager and other IT individuals as requested Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $61,152 - $82,992 a year

Position Summary Develop analytical platforms to transform data and drive the strategy and development of Machine Learning platform and features. Role and Responsibilities MULTIPLE POSITIONS AVAILABLE Company: SAMSUNG ELECTRONICS AMERICA, INC. Position Title: Staff Engineer I, Data Engineering Location: Mountain View, California Job ID: SAM9441214 Position Responsibilities: Develop analytical platforms to transform data and drive the strategy and development of Machine Learning platform and features. Create and deliver data features to shape critical business products in Samsung Ads that ultimately influences a major aspect of data platforms and ad servicing products. Analyze and process large sets of data, and create and manage data pipelines and products. Perform exploratory data analysis and data validation before ingestion using technical tools and software. Responsible for onboarding terabytes of data efficiently and within the desired SLA. Work closely with cross-functional teams such as product and marketing to understand their data needs and build data modeling features and products to drive the business forward. Contribute towards building a data system with a test-driven development and agile approach. Identify solutions to business issues using data analytical results and deliver products with top notch quality in a fast-paced environment. Collaborate with other team members in breaking down tasks and implementation of the data-oriented initiatives all the way to product release. Develop advanced solutions by leveraging deep expertise in System Design and Architecture, adeptly navigating and enhancing established Codebases, and utilizing cloud infrastructure services. Design and build robust, scalable Web Applications with a Microservices architecture, ensuring high performance and reliability. Position Requirements: Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related field and 5 years of progressive, post-baccalaureate experience as a Staff Engineer I, Data Engineering or related occupation in data analytical and software development engineering. The 5 years of experience must have included: 1. Building data pipelines for onboarding data using Spark and Airflow; 2. Experience with microservices and Rest Api's, and Amazon AWS technologies including S3, EMR, Lambda; 3. Experience with database technologies, including MySQL, Oracle, NoSQL, Vertica; 4. Working on complex issues where analyzing situations, and data requires an in-depth evaluation of variables; 5. Experience with Airflow, Spark, Python, Java, AWS and CS fundamentals, Object Oriented design and development; and 6. Experience in core Machine Learning domains, including Computer Vision and Natural Language Processing. Hours: Full Time, 40 hours/week. Salary Range: $211,536/year to $283,000/year #LI-DNI Skills and Qualifications Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

ConnectureDRX is seeking a skilled and experienced Team Lead, Data Operations to join our Data team. You will be responsible for leading a team of professionals who deliver high-quality software solutions and services to our clients. This position will report to the Director, Data Operations of our Connecture business unit. You will ensure the successful implementation of software projects, provide strategic direction, and maintain excellent client relationships. Some travel may be required depending on business requirements. This is a full-time position, Monday through Friday, 8:30 AM to 5:00 PM. The successful candidate must be flexible and available to work overtime as needed. What your impact will be: Lead a team of professionals to deliver high-quality software solutions and services. Interpret business rules and data, serving as a trusted expert for our customers. Transform data from various systems into ConnectureDRX solutions-or from ConnectureDRX to client systems-ensuring accuracy and alignment with business needs. Advise and manage team members. Analyze and translate business needs into solution data models. Own and complete high-level projects with strong project management skills. Design, develop, and maintain efficient data processes and tools using SQL and C# programming languages. Monitor data processes and tools, troubleshoot effectively, and make enhancements. Develop robust enhancements for team processes and tools, and create new processes and tools to assist other teams. Create reports, suggest improvements, predict reporting needs, and address them. Develop and update scripts to load data. Provide technical documentation for data feeds. Establish and maintain consistent data element definitions. Identify and advance opportunities to improve dataflows and supporting processes. Assist in the architecture design and testing of new systems. What we are looking for: Education in Computer Science, Information Technology, or a relevant field. 3+ years of experience in a professional services team, implementing software. Experience in mentoring professional services members. High understanding of software development and deployment processes. Excellent communication, interpersonal, and presentation skills. Excellent problem-solving abilities and attention to detail. What we can offer: Opportunity for challenging projects and professional growth 3 weeks' vacation and 5 personal days Comprehensive benefit package Lifestyle rewards Flexible work options About us: ConnectureDRX operates in the healthcare technology industry, specializing in providing innovative data solutions and services. The company offers a range of products, including advanced data analytics tools, software solutions for healthcare providers, and customer relationship management systems. ConnectureDRX's clients include healthcare organizations, insurance companies, and other entities within the healthcare sector, all of whom rely on the company's expertise to enhance their data management and improve operational efficiency.

Job Description Data Analyst SR. is a key part of the Store Operations Shrink and RFID Team, responsible for managing the execution of large-scale projects that deliver significant business value to Nordstrom and its customers. This role will partner closely with the Asset Protection (AP), Product, Technology, and Enterprise Operations organizations for Store Operations (SO) as the primary resource for analyzing shrink signals enabled by RFID and inventory health. The position will also lead and support current tactic measurement and new tactic strategy deployment to stores utilizing the Golden Data Set as a resource. The Data Analyst SR will triangulate data between shrink impact, labor impact, and sales impact at various levels including company, region, district, market, and store. This data will be used to identify new tactics that require measurement and testing. The analyst will communicate with cross-functional teams and end users to make informed decisions and monitor the progress of projects, ensuring they stay on schedule. Additionally, the analyst will ensure the coordination and completion of projects on time, within budget, and within scope. Responsibilities include setting deadlines, assigning tasks, and monitoring and summarizing project progress. The analyst will prepare reports and present project status to management, using storytelling techniques to effectively share insights with different audiences such as the executive team, sponsors, and store-level and regional stakeholders. Key Responsibilities: Lead the collection, integration, and analysis of diverse data sources (e.g., RFID signals, inventory metrics, sales data) Drive analysis with minimal oversight, applying strong business acumen to shape inquiries and deliver nuanced, decision-ready insights Proactively move from insights to implications, drafting compelling leadership-ready storylines Provide expertise in key senior leadership forums to support decision-making around tactical shrink activations aimed at addressing root cause Monitor Shrink signals weekly and share insights that lead to the root cause Acquire and transform data to support ongoing and ad hoc insights and analysis Perform measurement analysis, identify underperforming tactics, and contextualize results for actioning Align cross-functional teams to tasks and identify employees best positioned to complete them. Make effective decisions when presented with multiple options for project progression. Communicate status, issues, and/or changes with stakeholders down to the executive level to keep the project aligned with their goals. Adjust schedules and targets on the project as needs or financing change. Manage full project lifecycle (requirements, scope, schedule, resources, testing, quality, release, costs, changes) for cross-functional initiatives. Demonstrate understanding and curiosity about modern business enterprises and the problems they encounter. Conduct complex statistical analyses to identify measure, and conduction experimentation on new tactics Look into new tactic deployment, measurement and testing for stores based on insights. Set requirements for goals/targets and project manage to achieve financial milestones. Ongoing phasing and continuous improvement. Manage stakeholders on upkeep of data sources. Manage individual to multiple highly complex projects. Work directly to resolve individual workstream breakdowns Master project management concepts, theories, and principles with business insights and apply them to projects. Create long- and short-term plans, including setting targets for milestones and adhering to deadlines. Perform quality control on the project throughout development to identify problems and solutions to maintain expected standards. QUALIFICATIONS: Bachelor's degree in a quantitative field; advanced degree a plus. 5+ years of related work experience extracting, manipulating, and analyzing data and delivering business insights. Expert in SQL with demonstrated ability to write repeatable and robust code, applying advanced database concepts of optimization and design, and acquiring data from multiple sources efficiently. Expert knowledge of at least one programming language to aid analysis, modeling, and automation, with the ability to choose the right tool for the context and assess trade-offs. Ability to creatively & effectively apply descriptive and inferential statistical methods to answer complex business questions. Ability to conduct analyses with complex analytical storytelling & recommendations by creating a narrative that can be used by business to enact change. Experience using visualizations to summarize large amounts of data & highlight key insights for stakeholders. Combines statistical knowledge with graphical design to create informative, compelling visualizations. Experience related to Brick-and-Mortar Retailer. We've got you covered… Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including: Medical/Vision, Dental, Retirement and Paid Time Away Life Insurance and Disability Merchandise Discount and EAP Resources A few more important points... The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. Nordstrom conducts background checks and considers qualified applicants with criminal histories in a manner consistent with all legal requirements. Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ's for relevant information and guidelines. 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $121,000.00 - $199,000.00 Annual This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 7 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP/Snowflake Preferred Knowledge/Skills: Demonstrates extensive abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and, Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used. Demonstrates extensive abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems; Working closely with business stakeholders to capture and document business; objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Coordinating and providing guidance to technology teams and architects to define and develop technology solutions; Demonstrating critical thinking and problem-solving methods and skills; Supervising teams to create an atmosphere of trust; Seeking diverse views to encourage improvement and innovation; Coaching staff including timely meaningful written and verbal feedback; Building, maintaining and utilizing networks of client relationships and community involvement; Using appropriate facilitation techniques to gain agreement or move others to action; Managing resource requirements, project workflow, budgets, billing and collections; and, Preparing and/or coordinating complex written and verbal materials. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Preferred Qualifications Certification(s) Preferred Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Strong proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Strong analytical, problem-solving, and communication skill; and, Ability to work independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborate and contribute as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $130,000 - $256,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud platforms Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Data Specialist Employment Type:Full-Time, Mid-Level /p> Department: Data Science As a Data Specialist for CGS you will help our government client in processing data using LAW. The ideal candidate will regularly load large volumes of production data; running exports from the database for creating discovery party productions. Downloading files from our file sharing tool, JEFS, and performing quality control on load and export files to ensure accuracy is vital to this job position. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case - Manager and other IT individuals as requested Qualifications: Modify load files and perform quality control on loaded data quickly and accurately Assist with creating and updating document processing procedures as needed Run multiple load streams simultaneously Perform native file processing in LAW Export data from Relativity to create load files for other various platforms as requested by Case Manager Performs data conversion processing, including conversions of various document types Perform special format data conversions and file manipulation requests Handle quality control on load files and Relativity data loads and exports Perform advanced requests, such as creating data exports for productions and performing quality control on files, and complicated overlays or appends, privilege clawbacks, and sequestration of documents Perform quality control to confirm accuracy on loads completed by new Data Specialists Provide hands-on training to other Data Specialist as needed Perform basic Relativity searching and global updates to mark and/or tag records as requested; to include confirming record counts in Save Searches and Image redactions prior to creating exports for production Clearly and accurately discusses data inconsistencies found with Project Manager Assists on calls relating to data load file formats or media encryption software with Case Manager and other IT individuals as requested Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $61,152 - $82,992 a year

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 4 year(s) Preferred Qualifications Certification(s) Preferred Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus Preferred Knowledge/Skills Demonstrates thorough abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Possess proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Demonstrate proven analytical, problem-solving, and communication skill; and, Possess ability to work independently and as part of a team in a fast-paced environment. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborate and contribute as a team member by understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Research emerging trends, analyze publications, and adopt modern technologies in solution architectures; Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates extensive abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Lead the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage; Develop and deploy scalable data storage solutions using GCP services; Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible; Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architect and oversee implementation of IAM roles and policies to manage access and permissions within GCP; Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines; Develop data security best practices using GCP; Optimize Cloud resources for cost, performance, and scalability; Possess strong proficiency in SQL and experience with relational databases; Demonstrate familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Possess proven analytical, problem-solving, and communication skill; and, Work independently and as part of a team in a fast-paced environment. Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas: Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Application Deadline: 06/26/2025 Address: 320 S Canal Street Job Family Group: Data Analytics & Reporting The ideal candidate for this opportunity would have experience with: Machine Learning Coding in Python SQL AWS and have a passion for problem solving This a hybrid role Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems. Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data. Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness. Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders. Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap. Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on a range of complex tasks, which may include unique situations. Broader work or accountabilities may be assigned as needed. Qualifications: Foundational level of proficiency: Deep learning. Machine learning. Trust, bias and ethics. Creative thinking. Critical thinking. Intermediate level of proficiency: Mathematics, statistics & operations research. Big data. Data visualization. Computational thinking and programming. Data wrangling. Data preprocessing. Complex problem solving. Analytical acumen. Creative reasoning. Verbal & written communication skills. Collaboration & team skills. Analytical and problem solving skills. Influence skills. Data driven decision making. Typically between 1-2 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn. Technical proficiency gained through education and/or business experience. Salary: $67,200.00 - $124,800.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position. BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at http://jobs.bmo.com/us/en BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community. The Role As a Principal Data Scientist in our rapidly growing Technology Group, you will provide technical leadership in developing innovative solutions for the next generation of Production Automation and Value Chain Optimization. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, supply chain optimization, and expert systems. You will leverage your skills and passion for Machine Learning and AI to drive AspenTech's Production and Value Chain Optimization strategy by developing ground-breaking software. Your Impact Provide technical leadership and collaborate with data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and processing industries. Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Production Automation and Value Chain Optimization offerings. Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications. Provide thought leadership and represent AspenTech at industry and academic meetings and conferences. What You'll Need Ph.D in Computer Science, Engineering, Operation Research, or a related major; Masters with significant industrial experience can be considered. Deep knowledge of operations research, chemical/oil & gas/manufacturing supply chain management. 10+ years of experience in applying state-of-the-art AI/ML technologies (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing), preferably to planning and supply chain analysis in engineering applications. Strong expertise in non-linear programming, optimization, multivariate analysis. Some knowledge of advanced process control desirable. Highly skilled with Python AI/ML packages, familiarity with C++/C#. Publications in engineering and/or AI/ML conferences and journals preferred. Familiarity with LLM, generative AI, MLops, Graph Knowledge, and cloud technologies preferred. Knowledge of Aspen products in planning supply chain management (AUP, PIMS, APS, SCM) preferred.

We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. WHAT YOU WILL EXPERIENCE IN THIS POSITION: As an nVent Data Engineer - MDM, you will design, develop, and maintain MDM solutions using Informatica's suite of products. You will work closely with business stakeholders, data stewards, and Digital teams to implement robust master data governance frameworks that ensure data consistency, accuracy, and compliance across the enterprise. Key Responsibilities Design, develop, implement, support, and maintain Informatica MDM solutions that align with business requirements and data governance policies Configure and customize Informatica MDM hubs Develop data models, matching rules, survivorship rules, and validation processes within the Informatica MDM platform Create and optimize data integration workflows for loading, cleansing, profiling, enriching, and synchronizing master data Implement data quality rules and data standardization processes Design and develop batch and real-time interfaces between MDM and source/target systems Troubleshoot and resolve complex data integration and MDM issues to ensure data integrity and performance Collaborate with data architects to design and implement data governance frameworks Work with business users to gather requirements and translate them into technical specifications Document technical designs, processes, and procedures Create and maintain technical documentation for MDM implementations Perform code reviews and ensure adherence to best practices Provide technical guidance and mentorship to junior team members Stay current with latest developments in Informatica products and MDM technologies YOU HAVE: A Bachelor's or Master's degree in Computer Science, Engineering or a related field. Previous experience in or with 8+ years' experience as a Software Engineer, Data Engineer, or Data Analyst o 5+ years of experience in data management with at least 3 years of hands-on experience with Informatica MDM o Strong understanding of Informatica MDM architecture and components (Hub, Manager, Administrator, Operational UI) o Proficiency in Informatica MDM configuration including data models, hierarchies, matching rules, and survivorship rules o Experience with Informatica PowerCenter or Informatica Cloud for data integration with MDM o Working knowledge of Informatica Data Quality (IDQ) and Address Doctor o Strong SQL skills and experience with cloud (Snowflake) and relational databases (SQL Server) o Experience with web services and API integration (REST, SOAP) o Understanding of data modeling concepts (dimensional modeling, entity relationship diagrams) o Knowledge of XML, XSLT, and Java/JavaScript for MDM customization o Experience with agile development methodologies o Strong problem-solving and analytical skills o Excellent communication skills and ability to translate business requirements into technical solutions WE HAVE: A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at www.nvent.com. Commitment to strengthen communities where our employees live and work We encourage and support the philanthropic activities of our employees worldwide Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: Innovative & adaptable Dedicated to absolute integrity Focused on the customer first Respectful and team oriented Optimistic and energizing Accountable for performance Benefits to support the lives of our employees At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Lead in line with our values and brand. Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring multiple angles and using creativity, encouraging others to do the same. Balance long-term, short-term, detail-oriented, and big picture thinking. Make strategic choices and drive change by addressing system-level enablers. Promote technological advances, creating an environment where people and technology thrive together. Identify gaps in the market and convert opportunities to success for the Firm. Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies. Responsibilities Lead the creation and execution of data architecture strategies Drive innovation and thought leadership in data solutions Collaborate with stakeholders to align technical solutions with business needs Maintain compliance with data governance and security protocols Promote an environment where technology and people excel together Translate complex data requirements into actionable technical plans Oversee the implementation of advanced data technologies Facilitate cross-functional collaboration to enhance data architecture What You Must Have Bachelor's Degree 10 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Proficient in Python and structured/unstructured data Proficient in SQL and relational databases Writing and maintaining FastAPI endpoints for applications Understanding AI techniques enhancing LLMs Experience in prompt engineering for LLM outputs Developing scalable data storage solutions using cloud services Designing and managing data warehouses and data lakes Implementing IAM roles and policies for cloud platforms Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies. As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards. You focus on building client relationships and developing a deeper understanding of the business context, navigating increasingly complex situations, and growing your personal brand and technical knowledge. Responsibilities Designing and implementing thorough data architecture strategies Analyzing complex issues to create innovative solutions Mentoring and guiding junior team members Upholding standards in project deliverables Building and maintaining client relationships Developing a thorough understanding of the business environment Managing and navigating complex scenarios effectively Enhancing personal brand and technical skills What You Must Have Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics 2 years of experience What Sets You Apart Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus Designing and implementing thorough data architecture strategies Developing and documenting data models, data flow diagrams, and data architecture guidelines Maintaining data architecture compliance with data governance and data security policies Collaborating with business stakeholders to understand their data requirements Building, maintaining, and enhancing ETL/ELT pipelines for data ingestion, processing, and storage Developing and deploying scalable data storage solutions using AWS, Azure and GCP services Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Data Engineer Employment Type:Full-Time, Mid-level /p> Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. Write code to ensure the performance and reliability of data extraction and processing. Support continuous process automation for data ingest. Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. Work with program management and engineers to implement and document complex and evolving requirements. Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: Must be a US Citizen. Must be able to obtain a Public Trust Clearance. 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. Proficiency in developing ETL processes, and performing test and validation steps. Proficiency to manipulate data (Python, R, SQL, SAS). Strong knowledge of big data analysis and storage tools and technologies. Strong understanding of the agile principles and ability to apply them. Strong understanding of the CI/CD pipelines and ability to apply them. Experience with relational database, such as, PostgreSQL. Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: Experience creating and consuming APIs. Experience with DHS and knowledge of DHS standards a plus. Candidates will be given special consideration for extensive experience with Python. Ability to develop visualizations utilizing Tableau or PowerBI. Experience in developing Shell scripts on Linux. Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $112,597.33 - $152,810.66 a year

When you join Sallie, you become a champion for all students. Sallie's Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We're on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better. A little bit about us: Would you like to work in an exciting fast-paced start-up place with the backing of a household name company like Sallie Mae to help millions of people meet their educational needs every day? Together, we're connected by the same drive-to be a champion for all students and help them make smart decisions with confidence. Do more than join something-change something…for students, for future generations, and for the future of education. Our new venture, SallieSM, is looking for people like you to be the founding members who will define the future of education services for students and their families in the US. As the first education solutions company, we're creating products and experiences that help students when they need it most. We're connecting students to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit https://www.sallie.com/about to learn more about us. What You'll Contribute We are seeking a Senior Data Engineer (Sr. DE) with a proven track record of designing and building complex, scalable data products that drive business outcomes and support organizational growth. This is a high-impact, hands-on role responsible for developing robust data infrastructure, analytics solutions, and customer-facing prototypes that power operational insights and strategic decision-making. As a Sr. DE, you will collaborate closely with product managers, solution architects, software engineers, data scientists, and external partners to deliver data-driven technology solutions. You will lead the design and implementation of modern data architectures, simplify legacy systems, and develop scalable pipelines and models to support the evolving needs of our fintech platform. You will be instrumental in shaping our data ecosystem, applying cutting-edge tools in machine learning and AI to accelerate development and innovation. With ownership over the full development lifecycle-from architecture to deployment-you will play a critical role in solving high-scale engineering challenges and ensuring the long-term success of our data products and services. What You'll Do Data Warehousing and Architecture (Snowflake): Lead the end-to-end architecture, implementation, and ongoing management of the enterprise data warehouse using Snowflake. Design scalable and secure data models that integrate disparate data sources while optimizing for performance, cost-efficiency, and data quality. Ensure high levels of data integrity, consistency, and availability to support accurate reporting and advanced analytics. ETL/ELT Pipeline Development and Automation: Design, build, and maintain robust ETL/ELT pipelines using Snowflake, dbt, and other modern data integration tools. Automate and optimize data ingestion and transformation processes to support real-time and batch data needs. Drive continuous improvement of data workflows, ensuring reliability, scalability, and low-latency access to high-quality data. Cross-Functional Data Enablement: Collaborate with cross-functional stakeholders-including marketing, product, finance, compliance, operations, and engineering-to gather data requirements and translate them into scalable technical solutions. Serve as a strategic partner and trusted advisor on data architecture, tooling, and infrastructure capabilities. Data Governance, Quality, and Security: Champion data governance initiatives by implementing and enforcing standards around data quality, cataloging, lineage, and stewardship. Ensure all data practices align with industry regulations and internal policies, particularly around data privacy (e.g., GDPR, CCPA) and security. Establish monitoring and alerting systems to proactively identify and resolve data issues. Support for Advanced Analytics and Machine Learning: Partner with data science and analytics teams to prepare, clean, and structure datasets for advanced modeling, experimentation, and AI/ML initiatives. Build pipelines and feature stores that enable reproducibility, version control, and scalable deployment of machine learning models into production environments. Innovation and Best Practices: Stay ahead of emerging technologies and industry trends in data engineering, cloud computing, and analytics. Evaluate and recommend new tools, frameworks, and methodologies to improve the efficiency, scalability, and robustness of the data platform. Mentor junior engineers and help establish a culture of engineering excellence and data-driven decision-making. The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role. What you have Minimum education, skills and experience required. BS in Data Science, Computer Science, Software Engineering, Information Technology, Business Analytics, or a related technical field; or equivalent practical experience in data engineering roles. 7+ years of professional experience in data engineering, including hands-on design, development, and maintenance of scalable data pipelines, data warehousing solutions, and ETL/ELT processes. Expert-level experience with Snowflake, including performance tuning, architecture best practices, data ingestion techniques, security configuration, and optimization of compute and storage resources. Solid understanding of data modeling techniques (e.g., star/snowflake schemas, normalization/denormalization), and experience implementing models for both transactional and analytical workloads. Demonstrated experience with distributed, multi-tiered systems and modern data architecture practices, including batch and real-time data processing frameworks. Experience with modern data visualization tools and platforms (e.g., Tableau, Power BI, Looker) to support data democratization and decision-making across the organization. Working knowledge of data governance principles, including data quality, cataloging, lineage, and compliance with data security and privacy standards (e.g., SOC 2, GDPR, CCPA). Proven ability to collaborate cross-functionally with engineering, product, analytics, and business stakeholders to translate data needs into scalable solutions. Exceptional problem-solving and analytical skills, with a deep understanding of data structures, algorithms, and a data-driven approach to identifying opportunities and solving complex business challenges. Proven track record of delivering high-quality solutions in a fast-paced, evolving environment with competing priorities and tight deadlines. Excellent communication skills, both written and verbal, with the ability to present technical concepts clearly to technical and non-technical stakeholders. Preferred education, skills, and experience. Hands-on experience with cloud data ecosystems such as AWS (e.g., Redshift, Glue, S3, Lambda), GCP (e.g., BigQuery, Dataflow), or Azure (e.g., Synapse, Data Factory). Familiarity with machine learning and artificial intelligence pipelines, and the integration of model outputs into data workflows and applications. Experience with modern data orchestration tools (e.g., Airflow, dbt, Prefect) and CI/CD pipelines for data infrastructure. Experience with non-relational databases and data stores, such as MongoDB, Redis, Cassandra, graph databases (e.g., Neo4j), or object storage systems. Proficiency with statistical analysis tools and programming languages, including Python, R, MATLAB, SAS, or Stata. Experience working in a fintech or regulated industry environment, with knowledge of industry-specific compliance and risk considerations. Exposure to customer engagement platforms or marketing technologies, such as HubSpot, Segment, or Salesforce Marketing Cloud, especially for data integration or reporting use cases. The Americans with Disabilities Act The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function. Feeling your best helps you do your best: Our benefits take care of the whole you-so you can build your work around your life (not the other way around!). Competitive base salaries Bonus incentives Generous PTO, Floating Holidays and 12 Federal Holidays observed Support for financial-well-being and retirement 401k with employer match Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more Employer paid short-term/long-term disability and basic life insurance Flexible hybrid working arrangements. Paid parental leave and adoption reimbursement programs Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware) Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives Tuition Reimbursement and Family Scholarship Programs Career development and training opportunities Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice. Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Country: United States of America Location: CAGAO: Carrier-Home Georgia Remote Location, Remote City, GA, 30303 USA Critical Systems Executive Project Manager (Data Centers - Building Automation) - Automated Logic Strategic Accounts Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier. About this role Automated Logic Corporation provides innovative building-management solutions that maximize energy efficiency and sustainable building operation while ensuring comfort. Its intuitive products control and monitor building functions such as heating, air conditioning and lighting for commercial office, education, health care, government, and data center markets through a global network of independent dealers and North American branch offices. Automated Logic is a part of Carrier Global Corporation, the leading global provider of healthy, safe, and sustainable building and cold chain solutions. Key Responsibilities Manage a portfolio of large projects from $1m-$25m each with Strategic Account Customers that include GC's, Building Owners, and End Users. Ensure smooth project and client satisfaction from project development to completion. Manage projects following project processes and where applicable provide direction to assisting Jobsite Project Managers and Project Engineers Manage projects following project processes and where applicable provide direction to assisting Jobsite Project Managers and Project Engineers Complete projects per the contractual requirements within budget, on-time and with a high level of customer satisfaction Responsible for the overall financial performance of assigned projects including project planning, billing, revenue forecasting, A/R collections and re-estimating costs of installation projects. Manage the delivery of the contracted scope and secure change orders for the expansion of scope Coordinate project materials and the use of shared resources; identify resource constraints, and assist with corrective action plans to remedy any issues Manage relationships with sub-contractors, identifying issues, and take corrective action Maintains effective communications with customers and field team members to better understand support requirements. Contacts customers frequently requiring a high degree of tact and courtesy to maintain and build good rapport. Develops diverse product knowledge and may perform diagnostic procedures. Analyzes and interprets test information to resolve design/system related problems. Required Qualifications High School diploma or GED 5+ years of Project Management experience 5+ years of experience in the Building Construction Industry 5+ years of experience in HVAC and/or Building Automation Must have a valid Driver's License Preferred Qualifications Bachelor's degree in related field Prior experience in Construction, HVAC and/or Building Automation preferred Experience with Data Centers PMP Certification Experience in risk management, project planning, project estimation, project monitoring Ability to lead and motivate teams preferred Strong problem solving, planning and project management skills Ability to read and understand scope of work Exceptional written and verbal communication skills General knowledge of employment laws and practices Demonstrated knowledge of project financial reporting Working Knowledge of Microsoft Office Suite: Word, Excel, Outlook, MS Project, Access and other Windows products #LI-Remote RSRCAR Pay Range: $112,828 - $157,959 Annually This position may be eligible for performance-based incentives/bonuses. Benefits available https://www.corporate.carrier.com/careers/work-with-us/ Applications are ongoing Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Job Applicant's Privacy Notice: Click on this link to read the Job Applicant's Privacy Notice

Legend Biotech is seeking Senior Manager Sales Operations & Data Scientist as part of the Commercial team based in Somerset, NJ. Role Overview The role of Senior Manager, Sales Operations/Data Scientist encompasses conducting comprehensive and insightful analytics to support decision-making throughout the organization. This entails developing and implementing data models and visualizations that effectively portray the performance of Legend's CAR-T Operations and sales force, thereby identifying areas for optimization. The position requires a proactive approach to providing strategic direction to our sales organization based on data-driven insights. In addition, the individual will contribute to incentive compensation modeling and resolving intricate business problems using advanced analytical techniques and internal and external data sources. Regular interaction with other cross-functional business units is integral to the role, as is the ability to work independently and adapt to shifting priorities. The ideal candidate should be comfortable dealing with structured and unstructured real-world data, with a natural curiosity that facilitates rapid learning of Legend's business model and data infrastructure. As an integral team member, the Senior Manager will collaborate closely with other data professionals to support decision-making and drive business results. The ideal candidate will establish operational objectives and work plans to determine success of operations. They will be involved in developing, modifying and executing company policies that affect immediate operations and may also have company-wide effect. The position necessitates a high level of analytical ability, strong communication skills, and the ability to thrive in a fast-paced environment. The Senior Manager, Sales Operations/Data Scientist role at Legend requires technical proficiency and strong critical thinking and problem-solving skills. The individual must be able to analyze complex data sets and extract meaningful insights to inform business strategies. In addition to conducting analytical work, this role involves collaboration with various teams across the organization. Key Responsibilities Utilize statistical predictive models, including regression and time series models, to identify trends, make accurate forecasts, and generate projected figures Leverage machine learning techniques, such as classification, collaborative filtering, association rules, sentiment analysis, and topic modeling, to gain insights from natural language data Create new dashboards and self-serve capabilities that empower the field force, providing data-driven insights to leaders for sales optimization and performance management Drive initiatives focused on big data and advanced business analytics across diverse domains, such as product sales and marketing research Communicate findings effectively through reports and presentations to educate others Knowledge of master data management and governance concepts and process improvement disciplines Data quality measurement and monitoring, including definition of business rules, technical data quality rules, metrics and exceptions management and understanding of Data Governance best practices Develop and maintain data architecture documentation Develop and maintain information flow and data interchange requirements Drive data architecture decisions on data, analytic and reporting intiatives Continuously monitor and optimize the size and structure of the field team. Lead and manage the incentive compensation program for the sales organization. Collaborate with Sr Manager, Data & Analytics position to link CRM and analytics tools, ensuring their effective utilization and maximum benefit Regularly interact with senior management or executive levels on matters concerning several functional areas, divisions, and/or customers Requires the ability to change the thinking of, or gain acceptance from, others in sensitive situations, without damage to the relationship Requirements University degree (B.A. /B.S.) required, life science, informatics, and/or healthcare management preferred. Master's degree a plus. 8+ years Pharma / Biotech experience, or equivalent in Life Sciences Consulting. Hematology/oncology knowledge, experience in the field of allogeneic transplantation and/or cellular therapies (CAR T), preferred Experience with Machine Learning, Artificial Intelligence, or other programming languages is highly desired. Experience working with remote field based employees Experience with command-line scripting, data structures and algorithms Proven track record in working across relevant stakeholders(s), e.g. medical, sales, marketing and/or account management Developer/Administrator of Power BI Strategic and analytical thinker, with a well-balanced medical/science, technical and commercial mindset Strong communication and negotiation skills (verbal/written), ability to build and maintain reliable internal customer relationships Skilled team player, with collaborative mindset and proven experience in team coordination and/or cross-functional leadership Extensive knowledge of U.S. healthcare environment, applicable laws, regulations and standards preferred Agile learner with the ability to work effectively in complex, rapidly changing environments and to prioritize activities effectively Strong analytical capabilities with emphasis on statistics/quantitative analytics Advanced skills in PowerPoint, Excel, and Access. Travel Requirements: Up to 25% Domestic #Li-Hybrid #Li-JK2 The anticipated base pay range for this is: $123,605 - $169,958 USD. Legend Biotech is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. Legend Biotech maintains a drug-free workplace.