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Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are looking for a Credit Risk Manager/Staff Data Scientist to join our Loss Forecasting and Risk Analytics Team within Sofi's Credit team. This team member will work in the team that is responsible for forecasting losses across various SoFi lending products, including Personal Loans, Student Loan Refinances and Private Student Loans. The Staff Data Scientist will contribute to the performance analysis of SoFi lending products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights into the drivers for losses. She/He will also collaborate with the Business Unit, Finance, Accounting, Credit, and Independent Risk Management groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages, as well as strong problem-solving and communication skills. The ideal candidate will have expertise in analyzing large datasets and developing models using Python, SQL, and other statistical analysis packages to get to the truth behind the data. By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry-leading leadership team. What you'll do: Develop loss projections for SoFi's lending products, including Personal Loans, Student Loan Refinances, and Private Student Loans. Draw strategic insights from data using statistical analysis tools to inform decisions and support SoFi's overarching strategic goals relative to loss prevention and profit optimization. Bring new ways of thinking, data sources, technologies, and capabilities to SoFi. Develop stress testing framework using macroeconomic data to provide insights into the business and enable the company to plan proactively for economic downturns. Improve forecasting accuracy and productivity. Ensure good documentation and control of forecasting methodologies and procedures. Explore external credit data to identify trends in the market and industry. Work with Business Units, Operations, Product, Capital Markets, Finance, Accounting, and Risk partners to ensure correct loss expectations and trends of losses are communicated effectively and executed appropriately. Be inspired by dynamic leaders and our rapidly growing business. We are recruiting the best, brightest, and most passionately quantitative team members. What you'll need: 7+ years of related experience with a Master's or PhD degree Proven advanced analytical and technical skills in conducting sophisticated data analysis and building loss forecasting models and projections Business acumen and work experience in the consumer lending business (loans or credit cards) Proficient in Python, SQL & Tableau Strong communication and presentation skills. Demonstrated ability to synthesize and communicate analysis to business partners and senior management High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment Prior experience in credit loss forecasting is a must Nice to have: Experience using credit bureau sandbox data Experience in developing credit risk strategies Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $153,600.00 - $264,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Location(s) Atlanta, Georgia, Birmingham, Alabama, Boston, Massachusetts, Chicago, Illinois, Cincinnati, Ohio, Columbus, Ohio, Jacksonville, Florida, P&C-Butterfield Road-Downers Grove-IL-AAC Details Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises. Position Summary: Kemper is seeking a Data Engineer 4 to design, develop, and optimize enterprise data solutions that enable robust analytics, reporting, and business insights. This role provides technical leadership across data integration, transformation, and delivery processes. The ideal candidate is a self-motivated problem solver with strong intellectual curiosity, excellent data management skills, and a deep understanding of data security and governance principles. As a senior member of the data engineering team, you will be responsible for architecting and maintaining scalable data pipelines, preparing data for extracts and reporting, and ensuring efficient and secure data flows across systems and platforms. Position Responsibilities: Design and Develop Data Solutions Build, maintain, and optimize data pipelines and workflows that support reporting, analytics, and business applications using SQL, Informatica, IICS, and Snowflake. Data Processing and Preparation Develop and manage data preparation routines for extracts, transformations, and reporting datasets, ensuring reliability and performance. Data Modeling and Optimization Create and maintain logical and physical data models following normalization principles and best practices. Tune queries for optimal performance across Snowflake and Oracle environments. Integration and Automation Work with various structured and semi-structured data formats (XML, JSON) and leverage AWS cloud frameworks for scalable data integration and processing. Data Security and Quality Ensure compliance with data security policies and implement best practices for data protection, integrity, and confidentiality. Collaboration and Leadership Partner with data analysts, developers, and business stakeholders to define data requirements, streamline processes, and improve data accessibility for reporting tools such as Power BI. Continuous Improvement Recommend and implement improvements to data architecture, workflows, and governance processes. Serve as a mentor to junior team members and promote a culture of curiosity and continuous learning. Position Qualifications: Required Skills and Experience Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work experience considered. 5+ years of experience in data engineering or database development. Demonstrated expertise in: SQL development and query tuning Informatica and IICS for ETL and data integration Snowflake data warehouse architecture and development Oracle database systems Power BI for data visualization and reporting enablement Data modeling, normalization, and relational design Handling and transforming XML and JSON data structures Building data solutions in an AWS cloud environment Strong problem-solving abilities and the capacity to work independently on complex technical challenges. Deep understanding of data security, governance, and compliance best practices. High degree of self-motivation, intellectual curiosity, and commitment to continuous improvement. Preferred Qualifications: Experience with PowerShell or Python for automation and data scripting. Familiarity with IDMC (Informatica Intelligent Data Management Cloud). Experience with Azure data storage, compute, and integration services. Knowledge of Git for version control and collaboration. Exposure to end-to-end data flow, ingestion, and orchestration processes across hybrid or multi-cloud environments. Sponsorship is not accepted for this opportunity. The range for this position is $95,900 to $159,700. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.) This position can be worked hybrid out of a local Kemper office, including Chicago or Downers Grove, IL. Remote working arrangements may be available to non-local candidates. Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee. Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it. #LI-JO1 #LI-Hybrid

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are building a dynamic pipeline of pre-qualified talent to fill critical data engineering roles as our business continues to scale. By providing your information, you are included in our priority pipeline of highly qualified candidates across various specialized Data Engineering opportunities within Fusemachines. This curated list ensures you will be among the very first to receive consideration for future full-time opportunities, giving you a significant advantage and leading to a much shorter evaluation and interview process when a critical role opens. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: Direct Company Sponsorship: Such as H-1B, J-1, or TN visas. Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

Your Impact on our Mission: We're hiring a Staff Infrastructure Engineer (Data) to design, harden, and operate the distributed systems that power analytics, experimentation, and ML at Zocdoc. You'll set the long‑term architectural vision for our AWS‑based data platform, establish SLOs and guardrails, and drive cost, reliability, and security for data at scale. This is an infrastructure‑heavy role (SRE/platform engineering mindset) for someone who loves building robust, stable, and governed data foundations, not just pipelines. You'll enjoy this role if you are… Motivated by availability, latency, and cost SLOs for data platforms, owning them end‑to‑end. Equally comfortable designing multi‑account AWS architectures and hands‑on debugging of Spark jobs. Pragmatic: you favor simple, operable solutions and automation over bespoke one‑offs. Excited to influence data producers/consumers via contracts, governance, and self‑service platforms. Your day to day is… Own platform reliability & operations for data infrastructure: capacity planning, incident response/on‑call, disaster recovery, and performance tuning across compute and storage (e.g., Databricks, Snowflake, Glue/Athena, Kinesis/Kafka). Architect the lake / lakehouse layers (Delta Lake / Apache Iceberg / Hudi) with clear data contracts, schema evolution, compaction, and retention; build the controls that make it safe and fast. Harden platform surfaces (networking, IAM, encryption, key management, VPC endpoints/PrivateLink, Lake Formation/Unity Catalog) for PHI/PII, auditing, and least‑privilege by default. Establish observability for data systems (Datadog/CloudWatch): golden signals, lineage, SLIs/SLOs, and cost telemetry/FinOps. Infrastructure‑as‑Code everything (Terraform/CDK) including EMR/EKS clusters, Snowflake roles/warehouses, secrets, and CI/CD for data platform changes. Optimize warehouse usage (Snowflake preferred; BigQuery/Redshift welcome): warehouse sizing/queuing, clustering, pruning, caching, RBAC, cost controls. Partner with data engineering & security to set platform standards (orchestration like Dagster/Airflow; governance via Unity Catalog/Collibra/Lake Formation; quality and metadata services). You'll be successful in this role if you have… 8+ years in infrastructure/SRE/platform engineering (or hybrid data platform) with deep AWS expertise (networking, IAM, CDK, S3, EKS, EMR, Glue, Lambda; multi‑account patterns). Expertise running distributed data processing at scale with Spark (Databricks or EMR/EKS), plus working knowledge of Hadoop/Hive/Presto/Trino. Strong SQL fundamentals and data modeling; Snowflake (or BigQuery/Redshift) performance and cost optimization. Proven leadership establishing SLOs, runbooks, incident response, and reliability tooling for data platforms. Solid IaC (Terraform), CI/CD, and security‑by‑default mindset for PHI/PII. Bonus if you have… Experience with Delta/Iceberg lakehouse internals, table formats, and compaction strategies. Large‑scale Cloud‑based data compute (Spark on Databricks, autoscaling, queueing, scheduling). Hands‑on with metadata & governance stacks (Unity Catalog, Collibra), data quality frameworks, and cost governance. Benefits Flexible, hybrid work environment at our convenient Soho location Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) Commuter Benefits 401(k) with employer funded match Corporate wellness programs with Headspace and Peloton Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Catered lunch everyday along with beverages and snacks Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified

Site: Mass General Brigham Incorporated Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary The Opportunity Join a skilled team to help impact MGB's data and transform complex healthcare data into actionable insights! Full Time Comprehensive Benefits PTO accrues day 1 Hybrid Working Model The Hospital Integrated Research Organization (HIRO) at Mass General Brigham is a strategic, data-driven initiative focused on streamlining industry-sponsored research and generating high-quality real-world evidence (RWE). We are seeking a highly motivated and detail-oriented Data Analyst to join our team. This teammate will play a key role in supporting HIRO's RWE initiatives by transforming complex healthcare data into actionable insights. The ideal candidate is passionate about healthcare data and analytics, thrives in a collaborative and fast-paced environment, and brings a strong blend of technical expertise and communication skills. Reporting to the Director of Data Science and Analytics (DSA), the Data Analyst will work cross-functionally to support research and operational goals through data extraction, analysis, and visualization. Qualifications Key Responsibilities Extract, clean, and analyze large-scale healthcare datasets from diverse sources (e.g., EHRs, claims, registries). Ensure data quality, integrity, privacy, and security in compliance with HIPAA and institutional policies. Develop and maintain data models, dashboards, and reports to support research and operational decision-making. Identify trends, patterns, and anomalies to generate actionable insights. Conduct ad hoc analyses and respond to data requests from internal stakeholders. Communicate findings clearly through visualizations and presentations tailored to both technical and non-technical audiences. Collaborate with cross-functional teams to support data-driven strategies and initiatives. Stay current with healthcare data standards, analytics tools, and industry best practices. Qualifications 1-2 years experience extracting healthcare EMR data using SQL highly preferred Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Health Informatics, or a related field. Minimum of 2 years of experience in a data analyst or similar role, preferably in a healthcare or clinical research setting. Strong SQL skills required for data extraction, transformation, and reporting. Candidates must demonstrate advanced proficiency in writing, optimizing, and troubleshooting complex queries, with working familiarity with SQL Server environments. Proficiency in at least one analytical programming language such as Python or R. Experience working with healthcare data (e.g., EHRs, claims, registries); familiarity with data standards such as OMOP is a plus. Experience with data visualization tools (e.g., Tableau, Power BI) is desirable. Advanced proficiency in Microsoft Office tools, including Excel, PowerPoint, and Word. Strong analytical thinking, attention to detail, and problem-solving skills. Excellent organizational and time management abilities; capable of managing multiple priorities in a fast-paced environment. Strong written and verbal communication skills. Ability to work independently and collaboratively within a team-based structure. Additional Job Details (if applicable) Working Model M-F Eastern Business Hours required Hybrid Onsite Flexible working model required weekly includes onsite in office (1-2 days per week weekly, must be flexible for business needs) Remote working days require stable, secure, quiet, compliant working station using MGB issued equipment, including use of Teams Video Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $62,400.00 - $90,750.40/Annual Grade 6 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: We are seeking a strategic and detail-oriented Data Product Owner to lead the development and integration of data products that drive business value and enhance customer experience. This role will serve as the bridge between business stakeholders, technical teams, and data integration partners, ensuring that data initiatives are aligned with organizational goals and executed with precision. Responsibilities: Stakeholder Communication & Collaboration Act as the primary liaison between product managers, architects, business stakeholders, and technical teams. Facilitate clear, consistent, and proactive communication across cross-functional teams. Collaborate with Compass integration teams to gather metadata, documentation, and data samples. Champion a customer-centric mindset, ensuring data products meet user needs and deliver measurable value. Jira Ticket Management Define and document data requirements and acceptance criteria for user stories. Maintain traceability between business requirements and technical implementation. Monitor progress of Compass-related features and stories, raising blockers and dependencies proactively. Scrum & Agile Participation Represent the data product team in all scrum ceremonies including sprint planning, refinement, retrospectives, and daily standups. Partner with Compass integration teams to support agile delivery and ensure alignment on data needs. Data Analysis & Profiling Provide actionable insights to stakeholders through data exploration and analysis. Support data-driven decision-making across teams. Lead and guide Data Analysts in validating reported issues and performing production data validation across environments. Data Quality & Governance Ensure data products adhere to quality standards and governance protocols. Support documentation and change management processes, especially regarding impacts to existing Systems of Record (SORs). Promote best practices in data stewardship and compliance. Documentation & Reporting Create and maintain business requirement documents (BRDs), use cases, and user stories. Post and manage relevant artifacts in Confluence for team visibility and alignment. Track and report on project progress, key metrics, and delivery milestones. Qualifications: Proven experience as a Product Owner or similar role in data-centric projects. Strong understanding of data management, governance, and analytics. Experience working in Agile/Scrum environments. Proficiency in Jira, Confluence, and data analysis tools (e.g., SQL, Tableau, Power BI). Excellent communication, collaboration, and stakeholder management skills. Ability to translate business needs into technical requirements and vice versa. What are we looking for? We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. Requirements: 7+ years' experience in data warehouse design, data management, data governance, business intelligence and analytics, or similar. 7+ years and expert level use of reading and coding in SQL. Proven experience in individual contributor-level data management roles like data analyst, data modeler, data pipeline engineer, BI analyst, or developer. Solid knowledge base of data governance including data quality rules coding and implementation, data catalogs, quality scorecard development, data lineage, mastering data, and reference data management. 5+ years' experience with JIRA and Confluence Core Competencies: Hands-on data analysis, source-to-target mapping, data lineage tracing, remediation, etc. Experience coding or reading and understanding data transformations in pipelines. Experience designing and implementing a variety of data architecture patterns. Experience using and developing in a variety of RDBMS like AWS, Snowflake, etc. Wealth management and wealth advisory services industry experience. Prior people leadership experience. Prior experience in a data product management role Agile and lean delivery methods and associated tools like Confluence, Jira, etc. Solid understanding of relational, star, snowflake data modeling. #LI-Hybrid Pay Range: $100,275-$167,125/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace. LPL supports over 29,000 financial advisors and the wealth-management practices of 1,100 financial institution, servicing and custodying approximately $1.9 trillion in brokerage and advisory assets on behalf of approximately 7 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC1.22.25

Location: 4910 Tiedeman Road, Brooklyn Ohio Python Developer - Data Discovery Location: Various, OH (Hybrid) Job Type: Full-Time Experience Level: Senior (10+ years) About the Role We're looking for a seasoned Python Developer to lead the design, automation, and deployment of our enterprise data discovery and inventory platform. This role is critical to advancing our data protection and privacy capabilities through scalable, secure, and automated engineering solutions. Key Responsibilities Design & Architecture: Lead the development of scalable and automated data discovery solutions across structured and unstructured environments. Automation: Build automation pipelines for data classification, inventory updates, and integration with enterprise systems. Engineering Excellence: Develop and maintain software using Python, JSON, XML, REGEX, and RESTful APIs. Collaboration: Mentor junior engineers and collaborating with data governance, privacy, and infrastructure teams. Technical Planning: Scope and manage technical projects, including time estimates, dependencies, and risk mitigation. Architecture Strategy: Provide insights to align technology with business needs and support system modifications or architectural changes. Required Qualifications 10+ years of full-stack engineering experience, with strong proficiency in Python and SQL. Proven background in data, data discovery or data protection. Expertise in data inspection technologies: JSON, XML, REGEX. Strong understanding of software engineering fundamentals, including REST APIs, data structures, algorithms, and database design. Hands-on experience with Terraform for infrastructure automation and management. Familiarity with agile methodologies and the full software development lifecycle. Experience with BigID, PKProtect, or other similar platforms is highly preferred. Why Join Us? Work on cutting-edge data governance and privacy initiatives. Collaborate with cross-functional teams in a dynamic and inclusive environment. Enjoy flexible work arrangements and a strong culture of innovation. Apply now to be part of a team that's shaping the future of data discovery and protection. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $79,000.00 - $146,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 12/09/2025 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. #LI-Remote

Cellares is seeking an innovative and highly motivated Senior Data Quality Engineer who will contribute to the development of our advanced cell therapy manufacturing platform. The primary focus of this position is to ensure the accuracy, reliability, and integrity of data within our data platform. The individual will participate on a cross-functional team, design, build, and maintain automated testing frameworks to ensure data integrity at every stage of our data pipelines. The successful candidate should have extensive experience in quality assurance for data platforms, ideally with significant hands-on experience in the Databricks environment. They should be detail-oriented and possess strong analytical and problem-solving skills. Candidates should enjoy working in a fast-paced, mission-driven environment, and be prepared to tackle a broad selection of challenges as the company grows. Candidates should be great team players with the ability to work with minimal supervision. Responsibilities Build and maintain automated data validation tests using Databricks notebooks and tools like Pytest Test data ingestion, transformation, and loading processes within the Databricks Lakehouse, specifically focusing on the Bronze, Silver, and Gold layers of the Medallion architecture Implement tests for data accuracy, completeness, consistency, timeliness, and uniqueness at different points in the pipeline to catch data issues early Reconcile data by comparing record counts, schemas, and values between source systems and target tables in Databricks Implement automated data quality checks within data pipelines to ensure no data regressions occur with new code deployments Implement automated monitoring and alerting for data quality metrics, identifying anomalies in data freshness, schema evolution, and volume Work closely with data engineers and product owners to understand data requirements and ensure data quality meets business needs Ensure compliance with data governance policies by building quality checks that validate data sensitivity, masking, and lineage, leveraging tools like Unity Catalog Communicate project status and new discoveries in a clear and timely manner during daily stand-ups Requirements Bachelor's or Master's in Computer Science, Electrical Engineering, or related field and 5+ years of relevant experience Experience with data pipeline and data quality testing strategy and execution, with significant hands-on experience in the Databricks environment Strong proficiency in Python for developing and executing data validation scripts In-depth knowledge of Databricks, Delta Lake, and the Lakehouse architecture Proficiency in writing complex SQL queries for data validation, reconciliation, and troubleshooting issues Solid understanding of data warehousing concepts, including dimensional modeling (star/snowflake schemas) Hands-on experience with Azure, including Azure storage and data services that integrate with Databricks Ability to process data, interpret testing results and provide feedback to the team Desire to be part of a rapidly evolving organization, with compelling technology, and taking products and processes to the next level Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset $90,000 - $210,000 a year Cellares total compensation package contains competitive base salaries, highly subsidized Medical, Dental, and Vision Plans, 401(k) Matching, Free EV Charging, Onsite lunches, and Stock options. All displayed pay ranges are approximate, negotiable, and location dependent. This is Cellares Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life-saving cell therapies. The company's Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high-throughput platform that delivers true walk-away, end-to-end automation. Cell Shuttles will be deployed in Cellares' Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand. The company is headquartered in South San Francisco, California with its commercial-scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world-class investors and has raised over $355 million in financing. Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide. Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma. Legend Biotech is seeking Head of Data Architecture and AI Solutions as part of the IT team based in Somerset, NJ. Role Overview The Head of Data Architecture & AI Solutions is a leadership position responsible for architecting, integrating, and scaling data and AI capabilities supporting our mission to advance cell and gene therapies. This highly visible role spans cross-functional teams-including R&D, Clinical Operations, Medical Affairs, Commercial, and Manufacturing-with a sharp focus on harmonizing enterprise data architecture and accelerating the application of AI/ML for real-world impact. Key Responsibilities Enterprise Data Architecture & Platform Enablement Design, build, and continuously improve Legend Biotech's data lakehouse architecture to unlock analytics, reporting, and AI for enterprise users. Develop enterprise data models and semantic layers tailored for cell therapy workflows, enabling scalable self-service analytics and operational insights. Define integration strategy across enterprise applications (clinical, ERP, CRM, manufacturing, compliance) balancing traceability, integrity, and regulatory requirements. Applied AI/ML Solution Design Identify and evaluate high-value opportunities for AI/ML in early development, clinical operations, supply chain, commercial analytics, and scientific knowledge management. Lead solution design for practical AI/ML pilots-coordinating in-house or external partners, ensuring alignment with Legend Biotech's digital and enterprise standards. Establish data readiness protocols for machine learning (annotation, pipeline integration, model monitoring/feedback, and secure deployment). Enterprise Systems Integration & Scale-Up Own enterprise systems integration, dataflow design, and harmonization. Implement master data management solutions supporting unified product, customer, clinical trial, and manufacturing data domains. Collaborate with platform engineering, infrastructure, and partner teams to maximize interoperability and leverage best-in-class/reusable assets. Governance, Quality, & Compliance Lead metadata management, master data governance, and stewardship processes-ensuring alignment with GxP, privacy, and commercial compliance requirements. Set and monitor high standards for data quality, system validation, and audit-readiness in collaboration with business and technical stakeholders. Champion cross-functional data governance (ownership, access, lineage) in a highly regulated, complex data ecosystem. Stakeholder Leadership & Team Growth Serve as strategic advisor on data, analytics, and AI readiness-supporting business, R&D, and executive teams with actionable architectural guidance. Influence and align cross-functional partners toward shared goals and enterprise data priorities; champion 'digital-first' and Gen AI-enabled innovations. Establish and maintain strong relationships with Legend Biotech stakeholders Recruit, onboard, and mentor a small, high-impact team as Legend Biotech scales Requirements BS Degree Minimum 10+ years in data architecture, analytics platform design, or commercial data operations-ideally within biotech, pharma, or healthcare. Proven record designing and scaling cloud-native data platforms/data models in multifaceted settings (including early-stage or growth-phase companies). Deep understanding of oncology or cell therapy data (commercial, clinical, medical, or R&D). Demonstrated ability to operate independently and prioritize in a lean, entrepreneurial environment. Strategic and systems-oriented, with a passion for building scalable solutions and driving cross-enterprise alignment. Energetic self-starter-comfortable managing uncertainty, setting priorities, and influencing senior stakeholders. Highly collaborative; able to synthesize diverse viewpoints and translate ambiguous needs into concrete data/AI roadmaps. Pragmatic communicator-adept at concise documentation, presenting actionable concepts, and driving stakeholder engagement Experience in oncology-driven biotech or pharma, especially pre-commercial/early commercial stage. Working familiarity with life sciences regulatory frameworks (GxP, privacy, retention, commercial). Experience driving requirements definition, collaborating with engineering, and integrating complex, heterogeneous data systems. Direct exposure to ML/AI in healthcare (predictive analytics, NLP, Gen AI, or decision support). Hands-on prototyping experience (Databricks, cloud notebooks, automation tools, etc.). Led or contributed to AI/ML/data platform initiatives within cross-functional/product teams. #Li-LB1 #Li-Hybrid The anticipated base pay range is $187,989-$246,735 USD Benefits We are committed to creating a workplace where employees can thrive - both professionally and personally. To attract and retain top talent in a highly competitive industry, we offer a best-in-class benefits package that supports well-being, financial stability, and long-term career growth. Our offerings are designed to meet the diverse needs of our team members and their families, ensuring they feel valued and supported every step of the way. Highlights include medical, dental, and vision insurance as well as a 401(k)-retirement plan with company match that vest fully on day one. Equity and stock options are available to employees in eligible roles, we offer eight weeks of paid parental leave after just three months of employment, and a paid time off policy that includes 15 vacation days, 5 personal days, 5 sick days, 11 U.S. national holidays, and 3 floating holidays. Additional benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs - demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. EEO Statement 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 applicable law. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. Legend may adjust base salary or other discretionary compensation at any time based on individual, team, performance, or market conditions. Legend Biotech maintains a drug-free workplace.

Data Quality Manager- GenAI Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how artificial intelligence can be applied in insurance and beyond, and we need your help. With the support and investment needed to explore new frontiers in generative AI, you'll be working alongside talented colleagues, innovating and leading projects that will transform how we manage risk and serve our customers. This team is central to our vision of the future and the core of our business offering. We will incorporate best-in-class engineering and product management principles and your guidance and collaboration will be critical to its success. To rapidly advance and innovate, we need your skills and expertise to build world-class products. If you're excited by the opportunity to create meaningful impact at scale, we'd love to hear from you. Who we are AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. We provide world-class products and expertise to businesses and individuals in approximately 190 countries and jurisdictions. At AIG, we're reshaping how the world manages risk, and we're inviting you to be a key part of that transformation. As a Data Quality Manager- GenAI will have the opportunity to make a meaningful impact, leveraging and further developing your skills to guide groundbreaking AI initiatives. If you're looking for a place to grow your career and where your contributions will shape the future, AIG is where you belong. How you will create impact We are seeking a detail-oriented Data Quality Manager- GenAI to support a strategic data quality initiative, embedded within a development team. This role is central to ensuring that the data we source, transform, and produce aligns with defined business rules and quality expectations. The ideal candidate loves working in spreadsheets, finds patterns in data, and is comfortable digging through column-level details. Why this role matters Data quality issues have historically led to delays, low user trust, and increased costs. This role is critical in proactively identifying and preventing those issues, ensuring smoother deployments and better outcomes for both the development team and end users. How you will create an impact As part of the Data Management and Governance team, the Data Quality Manager is responsible for: Provide on-site leadership and mentorship for the Data Quality team in Atlanta, offering regular feedback and creating management-level reporting on quality metrics. Oversee the work of Data Quality Analysts to ensure consistent practice and alignment with the broader DQ strategy. Establish data quality test plans; work closely with development and data quality teams to define, refine, and validate data rules. Collaborate with Global Data Warehouse (GDW) and AI product teams to drive data quality initiatives. Work closely with the Data Governance team on behalf of Product Owners to ensure compliance with the Global Data Management standard. Support the Issue Management and Remediation (IMR) lead in facilitating the resolution of complex data quality issues across all data sourcing patterns. Contribute to long-term efforts in improving data quality and integrity across systems. Provide hands-on support for in-depth data quality analysis and profiling as required. What you'll need to succeed Requirements for the Data Quality Analyst role include: Extensive proven experience working with large, complex datasets in platforms such as Snowflake, Foundry, and Microsoft Excel. Demonstrated experience in a data quality, data governance, or senior data analyst role. Strong experience establishing data quality frameworks, defining business rules, and validating data. Proven ability to lead initiatives, oversee technical work, and mentor junior team members. Excellent analytical mindset with an exceptional attention to detail. Strong communication and interpersonal skills, with the ability to collaborate effectively with developers, product owners, and business leaders. Preferred Traits include: A self-starter who enjoys solving complex data puzzles and finding the "why" behind data inconsistencies. Strategic thinker with an interest in making a significant, long-term impact on data integrity. Comfortable working cross-functionally to influence and drive outcomes. Capable of ramping up quickly on new systems, technologies, and business domains. Veterans are encouraged to apply. #LI-CM1 #LI-AIG #AI #GenAI #artificialintelligence At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com. Functional Area: DT - Data AIG PC Global Services, Inc.

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. ESSENTIAL DUTIES & RESPONSIBILITIES Develops creative approaches to keep operational costs to a minimum, improve efficiency, and implement new strategies. Systems of responsibility include: Mechanical responsibilities will include chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Tests performance of electromechanical assemblies and electronic voltmeters. Reads blueprints, schematics, diagrams, or technical order to determine methods and sequences of processes. Inspects parts for surface defects. Installs electrical or electronic parts and hardware in housings or assemblies, using hand tools. Aligns, fits or assembles component parts, using hand or power tools. Operates, monitors, maintains, and responds to abnormal conditions in facilities systems. Areas include: Mechanical, Electrical, Fire Life Safety, and Building Monitoring and Control Analyzes systems to ensure best practices for both internal and external customers Provides feedback to DCO Engineering on the effectiveness of existing standards and processes Works with contractors and consultants to review quality assurance for all system expansions, corrections, and upgrades Works with the CF Ops Lead Technician to track and complete an aggressive preventive and predictive maintenance program Ensures data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies and improving overall efficiency, and cost reduction. Manages systems to avoid unplanned customer-impacting events Works with CF Ops Lead Technician to determine maintenance requirements for mechanical, electrical, and fire life safety systems. Performs other duties as assigned Regular, predictable attendance is essential to satisfactory performance. KNOWLEDGE, SKILLS & ABILITIES Regular, predictable attendance is essential to satisfactory performance. Knowledge of NEC, NFPA 70E, NFPA 72, NFPA 25, and compliance issues as well as building codes in regard to fire life safety Current knowledge in industrial safety best practices (i.e. lockout/tag out, arc flash protection, OSHA and state regulations) Familiarity with data trending / tracking and analysis and the ability to utilize a PC based integrated critical monitoring systems Ability to process Hands and Eye requests as required i.e., Tape Rotation, Rack and Stack of equipment, inventory hardware, power cycle devices, patch cable install/removal Demonstrated hands-on experience installing, maintaining, and/or troubleshooting large commercial and industrial systems including: Chilled Water Systems Large Centrifugal Chillers Cooling Towers Heat Exchangers Water Treatment Systems VFD's and Pumps HVAC equipment CRAC/CRAH's Humidification Systems Water heaters Water/Air filters BMS and PLC Controls Emergency Standby Diesel Generator Systems Fuel/Oil systems, 480/277 and 208/120 electrical generation and distribution Static UPS Systems Double Interlock Pre-Action Systems Excellent communication skills, both written and oral Proficient with MS Office Suite (Word, Excel, PowerPoint, Project) Ability to communicate effectively with customers and internal staff and effectively work in team environment Ability to coordinate, supervise, and communicate with contractors who perform maintenance or upgrade work on these systems. Ability to learn quickly and address issues as they arise during normal working hours or after hours. Ability to operate in and promote a rigorous process-driven team environment Ability to logically analyze and solve problems Ability to effectively multi-task multiple projects Ability to operate Hand and Machine Tools (hammer, drill, saw, etc.) Ability to operate electrical tools such as a multi-meter or infrared camera Ability to operate a forklift Regular, predictable attendance is essential to satisfactory performance. Must be able to work on a shift which may require nights, holidays, and some weekends. WORK HOURS/SHIFT: Monday-Friday 7:00am-3:30pm | Dayshift Possess critical thinking and complex problem-solving skills #LI-GlobalDataCentres #LI-NP2 PHYSICAL REQUIREMENTS Primarily walking, standing, and bending with some sitting. Ability to communicate effectively with verbal, visual and listening skills Close visual work on a computer terminal. Dexterity of hands and fingers to operate any required equipment as well as to operate computer keyboard, mouse, and other technical instruments. Able to lift and carry heavy equipment, up to 50 pounds. Ability to climb ladders and work on raised platform. WORK CONDITIONS Data Center environment with varying temperatures and loud noises. Potential extensive daily usage of workstation or computer. Must work on-site; no telecommuting permitted. SPECIAL REQUIREMENTS Must be willing to be part of the after-hours notification and escalation protocol. Must work on-site; no telecommuting permitted. This position requires work to be done onsite at a data center facility and may require use of a personal mobile device. A monthly stipend will be provided to cover expenses incurred for using a personal device, if applicable. NTT Global Data Centers Americas, Inc. offers competitive compensation based on experience, education, and location. Hourly base salary for this position is $33.90 - $50.90 and is eligible for overtime pay in accordance to local state and federal 'Wage and Hour' requirements. All regular full-time employees are eligible for an annual bonus; payout is dependent upon individual and company performance. Employees receive paid time-off, medical, dental, and vision benefits, life and supplemental insurance, short-term and long-term disability, flexible spending account, and 401k retirement plan to create a rich Total Rewards package. Workplace type: On-site Working About NTT DATA NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Third parties fraudulently posing as NTT DATA recruiters NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role You will design and implement evaluation pipelines that enable xAI's models to self-improve through end-user interactions, building features and data flows that capture human feedback to drive continuous optimization of user value, engagement, and key metrics in consumer products reaching millions of users. You'll work with us on: Building RLHF tooling to gather and incorporate end-user preferences and feedback, enabling models to iteratively self-improve based on real-world usage Developing data pipelines and AI evaluation frameworks to track model performance, safety, user satisfaction, and metrics like retention and engagement from an end-user lens Work in product and work with our model training teams to optimize and productionize AI powered features. You'll flourish in this role if you: Have a strong grasp of scaling AI products from prototype to global deployment Are skilled in developing robust AI evaluation methodologies, including benchmarks and metrics for alignment and user-centric improvement Have hands-on experience with RLHF or similar preference-based learning systems Thrive in ambiguous environments, iterating quickly based on feedback loops and data-driven insights Are passionate about AI creating transformative and user-centric technologies Consider yourself a high-agency builder who bridges research and product realities Ideal Experience Proven track record in RLHF implementation or AI alignment projects. Experience building data pipelines for metric optimization and model self-improvement in fast-paced environments. Familiarity with evaluation tools and frameworks (e.g., custom benchmarks, A/B testing for AI, user analytics). Strong portfolio or contributions demonstrating evaluation work and feature development for user impact. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process: Technical deep-dive: Discussing your evaluation and pipeline experience A take-home challenge on building an AI eval or feedback prototype Meet and greet with the wider team. Our goal is to finish the main process within one week. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

We Build Careers! Project Director I - Data Center South San Francisco CA At Fluor, we are proud to design and build projects and careers. We are committed to fostering a welcoming and collaborative work environment that encourages big-picture thinking, brings out the best in our employees, and helps us develop innovative solutions that contribute to building a better world together. If this sounds like a culture you would like to work in, you're invited to apply for this role. Job Description The Project Director - Data Center will develop, coordinates, implements, and manages all facets necessary to construct the project on time, within budget, and to the client's satisfaction. Provides leadership and serves as the liaison between project team members and the client to promote the interest of both Fluor and the client. The Project Director is the primary leader for the construction project and is charged with utilizing their experience and knowledge to make expeditious decisions, model efficiency and run projects efficiently. With Fluor, you will manage medium to large projects independently including engineering efforts for programs including but not limited to ensuring proper specifications and documentation, permit support and design. Ensure proper execution of all suppliers/contractors and provide technical assistance as necessary. This position may also be assigned responsibility for a substantial area of a mega project. At Fluor, this role will be part of the Advanced Technology & Life Sciences Division and will be a part of a group of leaders excelling within some of the most complex projects. The project types include but, are not limited to: Advanced Manufacturing, Pharmaceuticals, Food, Semiconductor, Data Centers, Lithium and many more. If interested in a realm that challenges your abilities and will develop your skills in creating industry leading facilities, Fluor is the right choice! Ensure Health, Safety and Environmental (HSE) is emphasized throughout all phases of the project Ensure execution of all aspects of the project in accordance with contractual obligations, Fluor's Operating System Requirements (OSR) and the relevant Operating System Implementation Plan (OSIP) Ensure full compliance with Fluor prime contract with regard to client reporting, notifications, project system start-up and close-out requirements Establish the project baseline (as defined in the OSR), and ensure that it is fully documented, updated throughout all project phases, and appropriately communicated to Fluor project team Deliver the project in accordance with the project execution and commercial baselines Other duties as assigned Basic Job Requirements Accredited four (4) year degree or global equivalent in applicable field of study and twelve (12) years of work-related experience or a combination of education and directly related experience equal to sixteen (16) years if non-degreed Ability to communicate effectively with audiences that include but are not limited to management, coworkers, clients, vendors, contractors, and other stakeholders Job related technical knowledge necessary to complete the job Ability to learn and apply knowledge of applicable local, state/province, and federal/national statutes and guidelines Ability to attend to detail and work in a time-conscious and time-effective manner Other Job Requirements Demonstration of successful performance as project manager on a minimum of two (2) medium to large sized projects or multiple project assignments in a significant role on large to very large Data Center EPFC/CM projects Utilize Knowledge Management processes to capture, support, and leverage relevant knowledge to enhance project execution Participate in Fluor University Participate in sales and marketing efforts Working knowledge in Advanced Technology and Life Sciences Manufacturing, Engineering or Construction Preferred Qualifications Jobsite experience and understanding of construction safety program Project or area management experience in international locations and diverse cultural environments is recommended Good knowledge and experience on project design, engineering, procurement, material management, construction, commissioning, start up, turn over work processes, sequencing, and interfaces Project Controls and Finance including understanding of Scheduling, Progress measurement, Risk assessment, Code of accounts, Work breakdown structure, Change management, Cost control, Estimating process and planning, Global Pricing Model (GPM), Project Status Review (PSR) and Project Margin Analysis, Report (PMAR) development and reporting General understanding of contract law and when to engage legal Regulatory requirements including permitting Experience of multiple commercial executions structures including Lump Sum/Reimbursable/Guaranteed Maximum price (Gmax) Proactive - goal orientated with the initiative to influence events positively, lead Fluor project team, and influence client for decision making Ability to set and maintain high standards of self performance with responsibility and accountability for successfully completing assignments and tasks Demonstration of innovation, initiative, maturity, and sound judgment Ability to influence a group of diverse individuals, each with their own goals, needs, and perspectives, to work together effectively for the good of a project Mobility - for example, relocating to site locations Basic computer and software skills to include the use of word processing, email, spreadsheets, and electronic presentations Certification in project management suggested, for example, Project Management Professional (PMP) #LI-OT1 We are an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by governing law. Benefits Statement: Fluor is proud to offer a comprehensive benefits package designed to promote employee health, wellness, and financial security. Our offerings include medical, dental and vision plans, EAP, disability coverage, life insurance, AD&D, voluntary benefit plans, 401(k) with a company match, paid time off (personal, bereavement, sick, holidays) for salaried employees, paid sick leave per state requirement for craft employees, parental leave, and training and development courses. Market Rate Statement: The market rate for the role is typically at the mid-point of the salary range; however, variations in final salary are determined by additional factors such as the candidate's qualifications, relevant years of experience, geographic location, internal pay equity, and prevailing market conditions for the specific role. Notice to Candidates: Background checks are carried out as part of any conditional offer made, including (but not limited to & role dependent) education, professional registration, employment, references, passport verifications and Global Watchlist screening. To be Considered Candidates: Must be authorized to work in the country where the position is located. Salary Range: $170,000.00 - $315,000.00 Job Req. ID: 627 Nearest Major Market: San Francisco Nearest Secondary Market: Oakland

As a member of the Information Systems Department, the Senior Enterprise Applications and Data Architect is responsible for assessing, developing, and maintaining architecture components within the application portfolio while monitoring and governing its associated data within the environment. ESSENTIAL FUNCTIONS: Assist in the road mapping of the application and data portfolio and develop transition plans for moving from the current to future solutions within the environment. Plans, directs, and coordinates the standardization of data between various on premise and cloud platforms. Identify workflow process inefficiencies and implement changes to improve the productivity, efficiency, and/or cost-effectiveness of products or services. Review application architecture and data integration options and make recommendations to IS management for possible implementation with on premise or cloud hosted solutions. Serve as the Project Manager on new enterprise-wide applications or updates to existing applications, as assigned. Create project plans, track budgets, monitor deadlines, and project team performance. May serve as a project member on projects run by other team members or manager. Lead the testing of new software or new versions of software. Create and maintain test environments for each of the enterprise-wide applications, including server specifications and software installations, integrations, and customizations. Create and maintain testing scripts for all enterprise-wide applications; manage testing teams and procedures and analyze test results. Create and maintain production environments for enterprise-wide applications, including server and desktop specifications, client software packaging, server software installations, integrations, and customizations; submit Change Management forms for approval per IS procedure; schedule work with vendors; perform installations or upgrades, final testing and close monitoring after installation or upgrade. Resolve and respond to Help Desk tickets related to enterprise-wide applications, plus all other applications as needed; note trends; perform troubleshooting; perform problem management, including escalating to other teams and to vendors as needed. Keep current on patches and releases related to enterprise-wide applications; review release notes; track resolutions to existing software problems; recommend updates to install. Interface with vendors, industry peers, and professional associations to keep informed of existing and evolving industry standards and technologies. ADDITIONAL FUNCTIONS: Maintain a high level of knowledge in all enterprise-wide applications via release notes, documentation, vendor dialogue and training classes. Assist, teach and mentor Applications Analysts, Administrators, and Engineers on the team. Other related job duties, as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES): Education: Bachelor's degree in computer science preferred. Experience: Minimum of ten years of extensive experience managing enterprise-wide applications and, preferably in a law firm. At least five years of related work experience with cloud data analytics platforms technologies. (Azure, AWS, Snowflake, etc.) Knowledge, Skills, & Abilities: Solid project management skills, operating as part of a team organizing, planning, and executing small to large-scale projects from the envisioning stage through implementation. Demonstrate a knowledge and understanding of enterprise system integrations, such as: Multi-cloud integrations Data movement (ETL/ELT) Data architecture (Snowflake, MS Fabric) Data Preparation (Azure Data Factory) Data Consumption and Visualization (PowerBI) Infrastructure, server, operating systems, and network communications knowledge. Process-minded with a strict regard to details. Strong ability to install and maintain any enterprise-wide application, including servers, customizations and integrations, load balancing, disaster recover procedures. Knowledge of SQL server and SQL scripting. Extensive Knowledge of various Microsoft technologies including Azure AD, Azure AD Application Proxy, Power Bi, OneDrive, and Azure Virtual Desktop remote app streaming. Certification in Microsoft 365 Enterprise preferred. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. COMPENSATION & BENEFITS The salary range for this position applies to Atlantic City, Chicago, Denver, Las Vegas, Los Angeles, Minneapolis, Morristown, New York, Princeton, San Francisco, Seattle, and Washington, D.C. The salary range reflects a variety of factors that are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the range for a position. A reasonable estimate of the current range for this position is $140,000 to $175,000. For information on Fox Rothschild's compensation and benefits visit: Compensation & Benefits (foxrothschild.com) DISCLAIMER The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

Ready to help us transform healthcare? Bring your true colors to blue. About the Role The Financial and Evaluation Measurement team is seeking a Data Scientist with strong technical expertise and a background in a quantitative discipline. In this role, you'll work with large, complex healthcare datasets to project and evaluate the financial impact of policy changes, clinical programs, and third-party solutions. You'll design analytical models and compelling visualizations that inform key business decisions, helping shape strategies to lower costs and improve the quality of care for our members. This role is eligible for our Flex Persona. For candidates local to our Boston, MA and Hingham MA offices. Your Day to Day Analyze large, complex datasets from a robust Enterprise Data Warehouse to identify drivers of healthcare cost trends, market pressures, and profitability. Design and execute advanced statistical models and predictive analytics to inform financial projections and evaluate cost/benefit of business initiatives. Create clear, compelling data visualizations and communicate actionable recommendations that reduce healthcare costs and improve member outcomes. Lead cross-functional analytic projects from design through implementation, ensuring consistent representation of financial performance across the organization. Partner closely with teams including Payment Integrity, Health and Medical Management, Provider Contracting, and others, to ensure alignment between analytics and business strategy. We're Looking For Bachelor's degree in Mathematics, Statistics, Data Science, Economics, Healthcare Analytics, or related field required. Master's degree preferred. 5+ years of professional experience in data science, healthcare analytics, or a related field. Proficiency in SQL, Python and/or R for data extraction, manipulation, and modeling. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with SAS is a plus but not required. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills-able to distill complex analyses into clear, actionable insights for non-technical audiences. Proven ability to manage multiple projects and meet deadlines in a fast-paced environment. Collaborative mindset and adaptability to shifting business priorities. What You Bring Passion for using data to improve healthcare quality and affordability. A creative, solution-oriented approach to complex business problems. Ability to influence decision-making through clear data-driven insights and strong stakeholder partnerships. A team-first perspective with a proven record of driving projects to completion and measurable impact. What You'll Gain You will design and validate analytic frameworks, uncover emerging drivers of healthcare cost and utilization, and deliver insights that shape strategy in pricing, product development, financial planning, and forecasting. The Business & Account Analytics team executes innovative analytics to inform corporate strategy in critical areas including competitiveness, affordability, profitability, provider payment reform and health care policy. As an Analyst on the Business & Account Analytics team, you will work with a rich dataset and a robust well-established Enterprise Data Warehouse to identify emerging drivers of health care trend and cost, market pressures, and profitability. #LI-Hybrid Minimum Education Requirements: High school degree or equivalent required unless otherwise noted above Location Boston Time Type Full time Salary Range: $114,414.00 - $142,120.00 The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability. This job is also eligible for variable pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. WHY Blue Cross Blue Shield of MA? We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don't hesitate to apply. We'd love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It's in our differences that we will remain relentless in our pursuit to transform healthcare for ALL. As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you'd like to be a part of, we'd love to hear from you. You can also join our Talent Community to stay "in the know" on all things Blue. At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our "How We Work" Page.

We are a product-focused organization that dreams big and achieves those dreams. Our customers are large players in the construction industry. This is an opportunity to be part of a nimble team where every individual becomes an expert in their area. We work fast, iterate quickly, and create a product that transforms how our customers work through AI. This is the place for you if you've worked in a role at the intersection of AI, data analytics, construction tech, construction management, and innovative technology-and you're looking for the next leap in your career. We're a growing company backed by Primary Ventures, LDV Capital, Pear VC, and other top investors. You will work directly with the CEO and our customers-large organizations that own and operate hospitals, universities, and public infrastructure. You'll have the opportunity to shape our data strategy by exploring various data sources and datasets, running exploratory AI models, and providing analytics that support customer decisions. This is a unique chance to join early and shape your career with Gryps. Must Haves Have an undergraduate or Master's degree in a quantitative field (e.g., mathematics, engineering, statistics, or similar) or construction management 2+ years of work experience involving quantitative data analysis and complex problem-solving in construction Proficiency in SQL and Python, along with experience using Quicksight, Power BI, Tableau, Jupyter Notebook, or other data visualization and exploration tools Have 2+ years of construction industry experience Possess excellent interpersonal and communication skills Are curious, a great listener, and enjoy working with customers to find data-driven ways to support decision-making You would love your job if you: Are customer-obsessed and love helping people apply AI in their workflows Are looking to join a small team and grow with it Get excited by creating new processes, working with data, and innovating data applications Are intrigued by how AI and RPA will change the construction industry Love collaborating across teams to solve problems Want to grow your career in customer success, data analytics, data science, or machine learning Are passionate about disrupting the construction industry with technology Are a fast learner or have a deep understanding of technology systems in the construction industry Love working with data to uncover patterns and insights What you'll be doing: Understanding customer decision-making and identifying data that can influence those decisions Analyzing data structures from construction systems or public data sources Setting up customer dashboards, reconfiguring business processes, or leading whiteboard sessions to map out customer data use Identifying and proposing potential data sources that could support customer decision-making Consulting with customers on how to leverage their data via the Gryps platform Documenting data workflows, data policies, structures, standards, and procedures for customer systems Developing and running advanced descriptive, predictive, and prescriptive analytics using Jupyter Notebook and Python Gathering feedback on current Gryps use cases and identifying new opportunities We recognize you as an early joiner by: Competitive compensation Flexible paid time off Medical, dental, and vision benefits Flexible career path Direct influence on our product and company roadmap About the Company Gryps is a NYC-based, VC-backed early-stage startup on a mission to revolutionize the $10T construction industry by transforming the way data and knowledge are consumed by construction decision-makers. Our Robotic Process Automation and AI-powered platform sets Gryps apart by automatically ingesting, understanding, and augmenting construction data-delivering actionable insights through intelligent applications. Our products have already transformed operations for top hospitals and developers by streamlining construction processes. At Gryps, we foster a culture of innovation, where brilliant minds collaborate to solve complex challenges. Our diverse team of talented engineers and industry experts drives our continuous pursuit of excellence. With an ambitious product roadmap and fresh funding to fuel our growth, Gryps is poised to transform the construction industry. To achieve this vision, we are seeking exceptional professionals to join our dynamic team and help bring our revolutionary ideas to life. Join Gryps today and be a part of reshaping a $10T industry!

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $94000 to $164500 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Claims Product Management is looking for a software programmer to provide data extraction and transformation support for product managers and the projects they lead. This is an exciting time for the Claims department as we transform our systems and processes, and the Claims Product Management team takes a leading role in driving that innovation. In this role, you'll have the opportunity to be a vital part of that transformation effort by supporting the data and reporting needs of the product managers, providing the data they need to plan future changes and monitor the success of their projects. You'll be joining a highly experienced team of claims data experts and will have the opportunity to be a pioneer in using brand-new data sources as we transform our claims systems. The ideal candidate will have a good understanding of Claims procedures and systems and experience extracting claims data (ideally using SAS/SQL to query Snowflake) as well as experience in producing automated reporting. The actual grade level will depend upon prior programming and claims experience (grade 66-70). Requirements: Knowledge of claims systems and procedures Highly effective written and verbal communication skills Ability to manage multiple projects to completion Extensive experience extracting and manipulating GEICO's claims data. A skills assessment will be used during the hiring process. Preferred Qualifications: Bachelor's degree or actively pursuing w/computer or math course work Demonstrated experience working on highly collaborative teams Note: Grade level will depend on qualifications and experience. (Grade 66-70) Annual Salary $65,600.00 - $189,625.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $94000 to $164500 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off