Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. Position Title: Marketing Data Analyst Business Unit: Marketing Reports to: Director of Marketing Analytics Position Overview: This individual is primarily responsible for targeting and/or measurement of all marketing campaigns to drive new household acquisition and deepen existing household relationships. Primary roles and responsibilities include implementing advanced data mining and analytics methodologies to develop audience segmentation strategies and discover insights. The ideal candidate will have a strong background in SQL, data analysis, marketing performance metrics, and audience segmentation. Primary Responsibilities: Develop prospect and customer targeting criteria leveraging large amounts of data and advanced data mining skills to enhance personalization and elevate the quality of marketing campaigns. Responsible for maintaining a scalable, sustainable approach to sales lead generation for retail and wholesale lines of businesses. Analyze campaign performance data including household acquisition, retention, and cross sell metrics to provide actionable insights and recommendations for optimization. Implement A/B test and incrementality tests to evaluate the effectiveness of marketing campaigns and affect meaningful positive change with testing results. Build and manage dashboards and reporting tools to track KPIs, ROI, and attribution. Ensure data integrity and accuracy across all marketing platforms and analytics tools. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: BA or BS Minimum#### of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 5 Skills Required to Perform the Primary Responsibilities of this Position: Excellent organizational, analytical and interpersonal skills Excellent communication skills, both written and verbal Excellent management skills Detail-oriented Ability to work and multi-task in a fast paced environment MS Excel- Expert Level MS PowerPoint- Expert Level Hands-on expertise with SQL, data analytics, data visualization tools, and SAS, R, or Python Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative-enabling a holistic view of an account's research and consumption behavior. From this data, Bombora derives actionable insights that make it possible for brands, agencies, and publishers to identify, understand, and identify their prospects and customers, throughout the buyer and user experience, across the activation platforms of choice. Bombora is continually recognized by analyst firms as a leader in Intent data powering GTM data solutions. Bombora is looking for a motivated, experienced Sales Engineer to conduct technical demos of our product integrations with potential clients, helping prospects understand how our capabilities will solve their needs. The Sales Engineer also acts as a product subject matter expert, consultative advisor, and helps clients operationalize their data. You will….. Communicate technical concepts to a variety of audiences, including executive-level decision-makers Produce and deliver tailored demos of Bombora's platform Support the sales team with closing new business through partnering on deals in the sales arc and assisting any technical requirements Support integration implementations for new clients Work closely with internal teams, including Engineering, Product, and Customer Success Work with Sales on the completion of RFPs, RFIs, and InfoSec documents Scope and deliver SOWs to prospects Act as the trusted expert in the room for prospects during the sales process You have… 3-5 years of experience as a Solutions or Sales Engineer (client/prospect facing B2B sales/success experience) Extensive presentations experience, both in-person and virtually with a strong capacity to build confidence with potential and existing clients Experience working and integrating large sets of data Proficiency with scripting tools to include Python and SQL Consultative selling (questioning, listening, managing objections) techniques Extensive knowledge of CRM tools at an admin level A knack for technology/tools and a love of learning new platforms Other Key skills…. Experience working across cross-functional teams Strong organizational skills along with the ability to work to a deadline Previous Sales Engineering or Solutions consulting experience Familiarity with B2B data Experience integrating/managing integrations with any of the following tools: Salesforce.com, HubSpot, Outreach.io, Marketo, Eloqua, Salesloft, or other related B2B MarTech or SalesTech. Perks and Benefits Health / Dental / Vision Flexible Spending / Health Spending Accounts Flexible Vacation / Paid Holidays / Summer Fridays Education / Tuition Assistance / Annual Learning Stipend 401K / Match Generous Parental Leave (16 weeks primary/12 secondary) Commuter Benefits On Demand Learning (Udemy) Team Lunches / Outings / Events (Yes! We found a way to do virtually!) Offices (for when you want one) Compensation Package The salary range for this position is $120,000-$145,000 plus variable bonus Actual compensation may vary and will be based on a candidate's qualifications, skills, experience, and location. Equity At Bombora, we embrace diversity because it breeds innovation. Bombora is an equal opportunity employer and participates in E-Verify.

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About the Role: JLL is seeking a Data Engineer to join our Central Data Platform Team, supporting enterprise-wide data initiatives and foundational platform solutions. You will play a key role in designing, building, and maintaining scalable data pipelines and indexing infrastructure, with a strong preference for Databricks experience. You will collaborate with engineering peers to ensure the reliability, performance, and operational excellence of JLL's enterprise data systems, leveraging cutting-edge cloud and AI technologies. This position offers substantial ownership of technical projects and opportunities to impact code uniformity, performance optimization, and enterprise data best practices. You'll work with diverse data sources, contribute to both internal and stakeholder-facing solutions, and participate in the transformation of JLL's data ecosystem at a global scale. Key Responsibilities: Design, implement, and optimize scalable ETL jobs using PySpark within platforms such as Databricks. Build and maintain high-performance data ingestion, transformation, and indexing pipelines that support reliable search and retrieval across both structured and unstructured data sources (e.g., documents, PDFs) within enterprise data lakes. Architect and support medallion architecture patterns, ensuring data quality, lineage, and governance across all central data platform layers. Develop and maintain APIs for data integration, supporting business and analytical needs. Leverage DocumentDB, cache DBs, and indexing solutions for efficient data storage and access. Collaborate with infrastructure, software, and AI teams to support the development of foundational data systems, integrating cloud (Azure, AWS, GCP), networking components, and security best practices. Manage code repositories using GitHub and automate deployment processes with GitHub Actions and CI/CD pipelines. Explore, experiment with, and apply AI tools to enhance data platform capabilities and intelligent search outcomes. Contribute to documentation, knowledge sharing, and adoption of best practices in a collaborative, agile engineering environment. Optimize cluster operations and Spark jobs for performance and cost efficiency. Required Technical Skills: Minimum 4 years of professional experience in data engineering or a related field. Proficient in PySpark and Databricks for enterprise-scale ETL, data processing, and pipeline optimization. Hands-on experience with DocumentDB, cache databases, advanced indexing, and database concepts. Exposure to cloud platforms (Azure, AWS, GCP) and strong understanding of cloud architecture and networking components. Familiarity with data lake architectures, medallion patterns, and data governance frameworks. Experience with API development and event-driven data pipelines. Competency using GitHub, GitHub Actions, and CI/CD practices in data engineering environments. Experience or interest in applying AI/ML and AI tooling to data workflows. Required Soft Skills: Effectively builds rapport with diverse stakeholders and adapts communication to needs. Strong ability to interpret information and resolve moderately defined and advanced problems within guidelines. Reviews data to identify and resolve missing, inconsistent, or incomplete information. Makes sound decisions within established guidelines, escalating complex issues as needed. May provide guidance or direction to lower-level staff, contributing to their development. Supports and contributes to a collaborative team, monitoring timeline and accuracy of operations. Demonstrates flexibility and accountability while managing multiple priorities in fast-paced environments. Initiates and maintains professional relationships to support team and business objectives. Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Minimum 3 years of hands-on experience in data engineering, including cloud and big data platforms. Estimated compensation for this position: 100,000.00 - 140,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Boston, MA, Chicago, IL, Dallas, TX, San Francisco, CA If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

Who We Are Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo. The Role A Data Implementation Specialist (Data Solutions Consultant) is responsible for integrating clients' portfolio data into Addepar, and consulting clients on their most complex data challenges. As a Data Implementation Specialist, you will be responsible for executing on client deliverables in addition to continuous internal tooling and process improvements to help scale our growing business. The ideal candidate will have exceptional analytical and communication skills, thrive in a fast paced environment, and bring a solutions oriented approach to all problems they encounter. Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $90,000 - $140,000 (base salary) + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Translate unique client requirements into flexible and scalable data solutions Lead data conversion projects with Addepar clients to ETL historical portfolio data from their legacy system into Addepar Prioritize and context-switch effectively to complete simultaneous projects, seeing each through to the finish line Identify and drive opportunities to improve our current processes and tools to better streamline, scale, and automate workflows Effectively set, lead, and communicate expectations both internally and externally Communicate with clients in a proactive, consultative, and professional manner Collaborate with internal Services, Sales, Product, and Engineering teams Who You Are Minimum 2+ years experience working in technology, finance, or consulting Experience with Python programming language Experience with financial products and securities modeling Solution-oriented mentality and passion for problem-solving Excellent communication, organizational, and time-management skills Strong work ethic, proactive, and a high contributing teammate Highly organized, close attention to detail, and driven to make processes more efficient. Independent, adaptable and can thrive in a fast-paced environment Our Values Act Like an Owner- Think and operate with intention, purpose and care. Own outcomes. Build Together- Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients- Exceed client expectations. Our clients' success is our success. Drive Innovation- Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning- Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided 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. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. Position Summary The Hypercell team is focused on transforming cell therapy operations by streamlining supporting processes through digital, automation, and AI-driven solutions. We are seeking a Senior Data Scientist to architect and implement scalable data infrastructure that enables advanced analytics, automated reporting, and AI-powered decision-making across the cell therapy network. This role will work closely with Business Insights & Technology (BI&T) and cross-functional stakeholders to build robust data hierarchies, integrate diverse data sources, and support the deployment of innovative tools that improve operational efficiency and transparency. Key Responsibilities Design, build, and maintain scalable data pipelines and data models to support Hypercell's digital and AI initiatives. Collaborate with BI&T and process engineering teams to define and implement data hierarchies that enable automated report generation from source systems. Integrate structured and unstructured data from manufacturing, quality, and digital platforms into unified, accessible formats. Support the development and deployment of AI-facing tools, ensuring data readiness, integrity, and traceability. Partner with data scientists and engineers to enable advanced analytics, predictive modeling, and process optimization. Ensure data governance, security, and compliance with internal and external regulatory requirements. Troubleshoot data-related issues and implement solutions to improve data reliability and performance. Contribute to the development of dashboards, visualizations, and self-service tools for end users across the business. Qualifications & Experience Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field. 7-10+ years of experience in data engineering, preferably in biopharma, cell therapy, or regulated manufacturing environments. Strong proficiency in SQL, Python, and data pipeline frameworks (e.g., Apache Airflow, DBT). Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift). Familiarity with GMP data requirements and regulatory expectations for data integrity. Proven ability to work cross-functionally and translate business needs into technical solutions. Preferred Qualifications Experience supporting AI/ML initiatives through data engineering and model deployment. Knowledge of manufacturing systems (e.g., MES, LIMS, ERP) and integration strategies. Familiarity with visualization tools (e.g., Power BI, Tableau) and self-service analytics platforms. Strong communication skills BMSCART #LI-HYBRID If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: Devens- MA - US: $182,760 - $221,460Seattle- WA: $187,880 - $227,661Summit West- NJ - US: $170,800 - $206,968 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/ . Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include: Health Coverage: Medical, pharmacy, dental, and vision care. Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support. Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection . Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1594855 : Associate Director, Hypercell, Data Scientist

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one. If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st Shift (United States of America) Please review the following job description: The Head of Master Data Management will lead the strategy, implementation, and day-to-day operations of the enterprise MDM function. This role requires a hands-on leader who can manage the MDM platform, define and enforce data governance rules, optimize MDM processes, and oversee data steward activities to ensure data quality, consistency, and compliance across the organization. The ideal candidate combines strategic vision with the technical capability to configure MDM systems, troubleshoot issues, and guide a distributed team of data stewards and platform administrators. KEY RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Strategic Leadership Define and execute the enterprise MDM strategy aligned with business objectives and data governance policies. Partner with business and technology leaders to ensure MDM capabilities meet current and future needs. Establish data domain ownership and stewardship structures across the enterprise. Platform Management & Technical Oversight Own and manage the MDM platform (Semarchy), including configuration, integration, performance tuning, and upgrades. Collaborate with IT teams to ensure the platform is secure, scalable, and resilient. Monitor system performance and troubleshoot technical and data quality issues. Data Governance & Rules Management Develop and maintain data quality rules, matching/merging criteria, survivorship rules, and hierarchy management. Enforce compliance with data governance standards and regulatory requirements Implement change control processes for MDM rules and workflows. Process Ownership Define, document, and optimize end-to-end MDM processes (data onboarding, enrichment, validation, deduplication, and publishing). Establish SLAs for data processing, stewardship, and quality resolution. Continuously improve processes through automation and best practices. Data Stewardship Management Lead and mentor a team of data stewards across multiple domains (Agencies/Retailers, Producers, Carriers, Market, Coverage, etc. for Broking, Binding, and Underwriting). Provide guidance on data issue resolution, escalation paths, and quality monitoring. Facilitate collaboration between data stewards, business stakeholders, and IT teams. Analytics & Reporting Develop and track KPIs for MDM performance, data quality, and governance compliance. Provide actionable insights to business leaders on master data trends, issues, and opportunities. EDUCATION AND EXPERIENCE The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in Computer Science, Information Management, Data Science, or related field (Master's preferred). 10+ years of data management experience, with at least 5 years in MDM leadership roles. FUNCTIONAL SKILLS Hands-on experience managing and configuring enterprise MDM platforms. Proven track record of implementing and scaling MDM solutions in a complex, multi-domain environment. Expertise in at least one leading MDM platform (Prophecy, Semarchy, Informatica MDM, IBM InfoSphere, etc.). Strong understanding of data modeling, integration (ETL, APIs), and metadata management. Knowledge of Azure cloud-based data platform such as Fabric, Databricks, and their integration with MDM. Proficiency in SQL and data profiling tools. Exceptional leadership, stakeholder management, and communication skills. Ability to bridge business and technical conversations. Strong analytical and problem-solving capabilities. Passion for data quality and governance. Performance Metrics/Success Measures: Improvement in data quality scores across key domains. Reduction in duplicate and inconsistent master data records. Timely resolution of data issues per established SLAs. Adoption rate of MDM processes and governance policies across the organization. Platform uptime, performance, and successful upgrades/releases. General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being - physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan. CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Position Overview We are looking for a self-motivated Senior Product Owner will be responsible for developing new products and improving existing ones. Working in an Agile environment, in collaboration with a cross-functional team, this person will be responsible for defining and executing the Product roadmap and ensuring the Backlog is properly prioritized and defined for the team. Responsibilities In collaboration with team and stakeholders, build and manage product backlog to ensure alignment on vision, goals and priorities of the product Lead requirements gathering efforts on high level features and epics Work with other Product Owners to ensure there is a coordinated approach to deliver value In conjunction with the team, develop story details and support sizing effort and story decomposition Drive backlog refinement activities and be a core contributor in Sprint planning as well as Sprint review ceremonies Enable team delivery by minimizing variability in currently executed Sprint Ensure completed Stories meet the definition of DONE Prioritizes the ART Backlog to streamline the execution of program priorities Maintains the conceptual and technical integrity of the Features for the team Provides input into timelines/ dates, and investigates alternate paths forward on potential timing options Drives tradeoff evaluations on feature implementation Participates in usability studies to bring voice of the customer on a feature to the team Support PM with Phase B in defining and gaining approval of customer journeys, detailed process flows, epic identification, feature identification, and consolidation of high-level work estimations required for Phase B approval and closure Ensure consistency of configuration and partners with engineering Leads to ensure design and development consistency across all work with ART Facilitates software selection process to deliver the 'what' Serve as 1st escalation point for all Delivery POs in the ART (questions on feature refinement, solution options, and/or in sprint tradeoffs Education and Experience Bachelor's degree in a related field 5+ years of experience using Agile methodologies, related to Product Owner role Preferred experience Knowledgeable of Software development, Web Applications, and Cloud development Familiar with Software Development technologies Demonstrates strong communication skills with audiences with various levels of technical background Experience in Medical Device development and/or other highly regulated products Passion to continuously improve processes and practices Experience with Insulin Pumps development Able to work independently with minimum supervision Proactive at communicating with various stakeholders in the organization Detail oriented, with effective verbal and written communication skills. Demonstrated abilities to leverage creativity to overcome obstacles and work with a sense of urgency Demonstrated flexibility and ability to function in a fast-paced, growth industry and work environment Travel is estimated at NOTE: This position is eligible for hybrid working arrangements and requires on-site work from an Insulet office. (San Diego, CA or Acton, MA). #LI-Hybrid Additional Information: Compensation & Benefits: For U.S.-based positions only, the annual base salary range for this role is $112,900.00 - $169,300.00 This position may also be eligible for incentive compensation. We offer a comprehensive benefits package, including: Medical, dental, and vision insurance 401(k) with company match Paid time off (PTO) And additional employee wellness programs Application Details:This job posting will remain open until the position is filled.To apply, please visit the Insulet Careers site and submit your application online. Actual pay depends on skills, experience, and education. Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet's flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com. We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it! At Insulet Corporation all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. (Know Your Rights)

CLOTHING FOR POSITIVE CHANGE (C4PC) From the farm to the factory to our closets, we all have an opportunity to create positive change through clothing as we work to fundamentally change the way clothing is made. Do you want to join a team committed to creating positive change in the world through the C4PC movement? Consider prAna, where you can transcend the current trends and demand more from your wardrobe and your employer; where you can help an enthusiastic and loyal audience celebrate the outdoors and their own unique style; and where you can help lessen our impact on the planet and its people every day. ABOUT THE POSITION We're seeking a Data & Analytics Lead to build prAna's modern data foundation and deliver trusted, actionable insights across the business. You'll drive the strategy, architecture, and delivery of Microsoft Data & Analytics solutions-leading data engineering and modeling, establishing governance, and building a high‑impact Power BI portfolio. Experience with Databricks is required. Familiarity with SAP data & analytics is preferred but not mandatory; we value strong data leadership and the ability to learn our ERP environment. HOW YOU'LL MAKE A DIFFERENCE Architect scalable data pipelines and models on Microsoft Azure (Data Factory, Databricks, Synapse, Data Lake), establishing standards for ingestion, transformation, and performance. Own prAna's Power BI portfolio: semantic models, certified datasets, KPI frameworks, executive dashboards, and governance (RLS, workspace standards). Define and operationalize the analytics operating model: request intake, SLAs, data quality scorecards, and stewardship with business partners. Translate merchandising, marketing, finance, and DTC questions into data products that drive decisions and measurable outcomes. Champion self‑service analytics and data literacy; coach teams to interpret insights and tell clear data stories. Evaluate tools, patterns, and backlog priorities; lead delivery with pace while balancing scalability and maintainability. (Preferred) Partner on SAP data integrations and analytics; map ERP structures to BI models and establish master‑data alignment. YOU ARE A builder of modern data foundations with a product mindset for analytics. A clear communicator who aligns executives and practitioners around definitions, standards, and outcomes. Curious and adaptable-able to learn new platforms (ERP) quickly and connect data to business value. Outcome‑oriented, balancing speed with rigor and long‑term scalability. Collaborative and skilled at influencing cross‑functional teams. YOU HAVE 7+ years in data analytics/BI/data engineering; 2+ years leading teams or programs. Hands‑on experience with Microsoft Data & Analytics solutions: Azure Data Factory, Databricks, Synapse, Data Lake. Advanced proficiency in Power BI (data modeling, DAX, semantic layer, governance). Strong SQL and dimensional modeling; proven delivery of enterprise dashboards/KPIs. Working knowledge of data governance, security, lineage, and data quality practices. (Preferred) Exposure to SAP analytics (e.g., S/4HANA Embedded Analytics, SAC) or similar ERP analytics environments. #LI-JD1 This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company. Columbia Sportswear Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities. https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf . If you need reasonable accommodation because of a disability for any part of the employment process, please notify your recruiter. Hiring Range: $145,070.00 - $212,916.00 Pay decisions are determined by multiple factors, including what the market is paying, a candidate's capabilities and skills, years of experience ,and internal equity At Columbia Sportswear Company, we're proud to offer regular full-time employees a benefits package that includes a variety of services and products to help make your life and work more rewarding. Our benefit programs contribute to overall employee well-being by aligning those programs with the fundamental elements of well-being: physical, social/emotional, financial, career and community. Benefits that can protect your family's financial future and help you save money through our 401k plan plus a generous company match. Columbia offers medical, dental, vision, life Insurance, disability, flexible spending accounts, health savings account, and an assortment of voluntary benefit offerings (accident, critical illness, hospital indemnity, and legal services). In addition, Columbia offers EAP + which is free and confidential 24/7/365 counseling services. We have extensive wellness benefits, employee discounts and a generous time off program available. If you need an accommodation/adjustment to successfully complete and submit your application, please reach out to AskHR@columbia.com with the Subject: Applicant Assistance Requested.

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About the Role: JLL is seeking a Data Engineer to join our Central Data Platform Team, supporting enterprise-wide data initiatives and foundational platform solutions. You will play a key role in designing, building, and maintaining scalable data pipelines and indexing infrastructure, with a strong preference for Databricks experience. You will collaborate with engineering peers to ensure the reliability, performance, and operational excellence of JLL's enterprise data systems, leveraging cutting-edge cloud and AI technologies. This position offers substantial ownership of technical projects and opportunities to impact code uniformity, performance optimization, and enterprise data best practices. You'll work with diverse data sources, contribute to both internal and stakeholder-facing solutions, and participate in the transformation of JLL's data ecosystem at a global scale. Key Responsibilities: Design, implement, and optimize scalable ETL jobs using PySpark within platforms such as Databricks. Build and maintain high-performance data ingestion, transformation, and indexing pipelines that support reliable search and retrieval across both structured and unstructured data sources (e.g., documents, PDFs) within enterprise data lakes. Architect and support medallion architecture patterns, ensuring data quality, lineage, and governance across all central data platform layers. Develop and maintain APIs for data integration, supporting business and analytical needs. Leverage DocumentDB, cache DBs, and indexing solutions for efficient data storage and access. Collaborate with infrastructure, software, and AI teams to support the development of foundational data systems, integrating cloud (Azure, AWS, GCP), networking components, and security best practices. Manage code repositories using GitHub and automate deployment processes with GitHub Actions and CI/CD pipelines. Explore, experiment with, and apply AI tools to enhance data platform capabilities and intelligent search outcomes. Contribute to documentation, knowledge sharing, and adoption of best practices in a collaborative, agile engineering environment. Optimize cluster operations and Spark jobs for performance and cost efficiency. Required Technical Skills: Minimum 4 years of professional experience in data engineering or a related field. Proficient in PySpark and Databricks for enterprise-scale ETL, data processing, and pipeline optimization. Hands-on experience with DocumentDB, cache databases, advanced indexing, and database concepts. Exposure to cloud platforms (Azure, AWS, GCP) and strong understanding of cloud architecture and networking components. Familiarity with data lake architectures, medallion patterns, and data governance frameworks. Experience with API development and event-driven data pipelines. Competency using GitHub, GitHub Actions, and CI/CD practices in data engineering environments. Experience or interest in applying AI/ML and AI tooling to data workflows. Required Soft Skills: Effectively builds rapport with diverse stakeholders and adapts communication to needs. Strong ability to interpret information and resolve moderately defined and advanced problems within guidelines. Reviews data to identify and resolve missing, inconsistent, or incomplete information. Makes sound decisions within established guidelines, escalating complex issues as needed. May provide guidance or direction to lower-level staff, contributing to their development. Supports and contributes to a collaborative team, monitoring timeline and accuracy of operations. Demonstrates flexibility and accountability while managing multiple priorities in fast-paced environments. Initiates and maintains professional relationships to support team and business objectives. Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Minimum 3 years of hands-on experience in data engineering, including cloud and big data platforms. Estimated compensation for this position: 100,000.00 - 140,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Boston, MA, Chicago, IL, Dallas, TX, San Francisco, CA If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

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: $103500 to $188888 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. Staff Engineer - Data Lakehouse Platform Position Summary GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement. Position Description Our Staff Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into Geico as we embark on a greenfield project to implement a core Data Lakehouse for all Geico's core data use-cases across each of the company's business verticals. Position Responsibilities As a Staff Engineer, you will: Scope, design, and build scalable, resilient Data Lakehouse components Lead architecture sessions and reviews with peers and leadership Accountable for the quality, usability, and performance of the solutions Spearhead new software evaluations and innovate with new tooling Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning Collaborate with customers, team members, and other engineering teams to solve our toughest problems Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community Consistently share best practices and improve processes within and across teams Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community Qualifications Exemplary ability to design and develop, perform experiments Experience developing new and enhancing existing open-source based Data Lakehouse platform components Experience cultivating relationships with and contributing to open-source software projects. Experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent) Experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent) Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent) Expertise in developing distributed systems that are scalable, resilient, and highly available Expertise in container technology like Docker and Kubernetes platform development Experience with continuous delivery and infrastructure as code In-depth knowledge of DevOps concepts and cloud architecture Ability to excel in a fast-paced, startup-like environment Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent Experience 6+ years of professional experience in data software development, programming languages and developing with big data technologies 4+ years of experience on open-source development 3+ years of experience with AWS, GCP, Azure, or another cloud service Education Bachelor's or Master's degree in Computer Science, Software Engineering, or related field like physics or mathematics Annual Salary $110,000.00 - $260,000.00 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. GEICO will consider sponsoring a new qualified 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.

We are seeking a Data Engineer with strong AI/ML expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI. Key Responsibilities Project Responsibility: End-to-end data pipelines and integrations Technical Competencies: Advanced SQL optimization and complex query design Kafka streaming applications and connector development Databricks workflow development with medallion architecture Data governance implementation and compliance Performance tuning for large-scale data processing Data security and privacy best practices Apache NiFi pipeline development for invoice and PO processing Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres) Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models. Design and optimize data architectures for large-scale ML workloads Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases. Soft Skills: Cross-functional collaboration with product and engineering teams Technical mentoring for junior data engineers Analytical thinking for complex data problems Stakeholder communication for data requirements Process improvement and efficiency focus Quality mindset for data accuracy and reliability Vendor Management: Direct communication with data platform vendors Evaluates vendor tools for specific data use cases Provides technical feedback on vendor product roadmaps Coordinates with vendors for data integration projects Qualifications: Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field. 5+ years in data engineering; 2+ years applying ML in production. Our Benefits: Hybrid Work Employer Matched 401K Company Paid Medical Insurance Option for Employee and Dependent Children Company Paid Dental Insurance for Employee Company Paid Vision Insurance for Employee Company Paid Long and Short-Term Disability Company Paid Life and AD&D Insurance 18 Paid Vacation Days a Year Six Paid Holidays Employee Recognition Programs Holiday Bonus Incentive Compensation Community Outreach Opportunities Business Casual Dress Code About Fintech: Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit www.fintech.com. Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E-Verify.

Senior Data Analyst (NYC) About Rent the Runway About Us: Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world's first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hyman's leadership, RTR has been named to CNBC's "Disruptor 50" five times in ten years, and has been placed on Fast Company's Most Innovative Companies list multiple times, while Hyman herself has been named to the "TIME 100" most influential people in the world and as one of People magazine's "Women Changing the World." About the Team: Data is core to our growing business and has been ingrained in the company's DNA since its founding. As a member of the Data Analytics team, you will arm stakeholders with data to measure performance, insights, and drive continuous improvements across the company. The team is responsible for developing and maintaining RTR's core data models, defining and analyzing performance metrics, building reports, and enabling self-service report solutions. Business Intelligence is an important team within the RTR Customer organization. About the Job: We are looking for a Senior Data Analyst to lead high-impact analytics initiatives and manage key data models that describe our customers and business. In this role, you will partner cross-functionally with business leaders across the organization. You will own the creation of rich reporting and data visualizations, enabling functional leaders to quickly digest information and make data-driven decisions. In collaboration, you will define KPIs and set attainable, stretch goals to drive continuous improvement. You will be a key contributor to the culture of the team, and you will have opportunities for growth and leadership as we expand. This is a senior-level role, requiring strong analytical judgment, ownership, and the ability to operate independently in a fast-paced, evolving environment. What You'll Do: Lead strategic analytics initiatives by partnering closely with cross-functional teams to identify, scope, and fill data visibility gaps. Work with Product and Engineering teams to ensure we collect the data required to support business objectives Develop scalable, reusable, and well-documented data models that power dashboards, reports, and analysis across the organization Collaborate closely with Data Engineering to design, optimize, and maintain data pipelines, ensuring data availability, accuracy, and efficiency. Analyze key areas of the business to uncover opportunities for optimization, experimentation, and strategic improvements. Define and monitor KPIs to influence decisions throughout RTR Build, maintain, and monitor robust, user-friendly Looker dashboards and reports, ensuring stakeholders have access to up-to-date insights. Drive best practices across the Data Team, including data governance, performance optimization, and documentation. About You: 5-7+ years of hands-on experience with large, complex data sets and delivering analytics solutions in fast-paced or scaled environments. Bachelor's degree in a quantitative field (e.g., Computer Science, Physics, Mathematics, Statistics…); advanced degrees and/or specializations a plus. Highly proficient in SQL, with the ability to write efficient, optimized queries for large-scale datasets. Experience building and maintaining dashboards in Looker or similar BI tools. Demonstrated experience with data modeling, dimensional modeling, and dbt. Experience with code management and deployment on GitHub. Demonstrated ability to lead analytics or reporting projects end-to-end, from scoping to stakeholder communication. Ability to communicate effectively with a wide range of audiences, including business stakeholders, data engineers, and product teams. Experience working with event data or user/product analytics tools (e.g., Heap) is a plus. Passion for data and its fundamental ability to create value. Extremely curious and excited to dive into complex problems. Self-driven, proactive, and comfortable operating with ownership and ambiguity. Benefits: At Rent the Runway, we're committed to the wellbeing of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to: Paid Time Off including vacation, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family. Universal Paid Parental Leave for both parents + flexible return to work program - because we know your newest family member(s) deserve your undivided attention. Paid Sabbatical after 5 years of continuous service- Unplug, recharge, and have some fun! Exclusive employee subscription and rental discounts - to ensure you experience the magic of renting the runway (and give us valued feedback!). Comprehensive health, vision, dental, FSA and dependent care from day 1 of employment- Your health comes first and we've got you covered. 401k match - an investment in your future. Company wide events and outings - our team spirit is no joke - we know how to have fun! Hybrid work - individual contributors on our tech team follow a sprint schedule and generally alternate fully remote weeks and working remotely two days per week, in accordance with Company policies. Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee based on any legally-recognized basis, including, but not limited to: race, color, religion, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, gender identity, age (40 and over), national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed service member status or any other status protected by federal, state or local law. _ ____ The anticipated base salary for this position is $140k to $175k. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held. By submitting your application below, you agree that you have read and acknowledge Rent the Runway's Candidate Privacy Policy, found here.

Job Description We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. Partner with the extended data team to define, develop, and maintain shared data models and definitions. Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. Support incident resolution and perform root cause analysis for data-related issues. Create and maintain both business requirement and technical requirement documentation Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). Experience with modern data platforms like Snowflake and Microsoft Fabric. Solid understanding of Data Modeling, pipeline orchestration and performance optimization Strong problem-solving skills and ability to troubleshoot complex data issues. Excellent communication skills, with the ability to work collaboratively in a team environment. Familiarity with tools like Power BI for data visualization is a plus. Experience working with or coordinating with overseas teams is a strong plus Preferred Skills Knowledge of Airflow or other orchestration tools. Experience working with Git-based workflows and CI/CD pipelines Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Farmer's Fridge makes fruits and vegetables accessible and approachable for everyone. We offer a variety of fresh, healthy, ready-to-eat meals and snacks through our fresh food vending machines, wholesale partners, and our office pantry solution - providing chef-curated meals to customers within seconds. Today, we operate a network of Fridges and partner with clients nationwide in high-foot-traffic areas, such as airports, hospitals, universities, and large office buildings - where there is limited accessibility to fresh, healthy, grab-n-go options. We care deeply about what we're creating and aspire to make sure our customers feel that through every touchpoint. This shows up in many ways across the business. We are committed to prioritizing food safety, we are passionate about product quality, we value our employees, we champion the best idea no matter where it comes from, and we're committed to making an overall positive impact as we scale. About this Role: Farmer's Fridge is entering a period of rapid growth, and we are looking for a a motivated Data Product Analyst with strong technical skills and business acumen to help turn millions of potential data points into models and actionable insights that can drive product improvements, make our customer acquisition more efficient, improve our customer retention rates, and drive operating efficiencies on our production and logistics teams. What You'll Do… Execute data and analytics projects based on clearly defined requirements and priorities set by the Data team. Coordinate with analytics, engineering, and business partners to gather requirements, clarify scope, and ensure smooth handoff between teams. Support data governance efforts by helping enforce data quality standards, definitions, and documentation ownership. Translate technical inputs into clear, simple communication for non-technical partners (e.g., summarizing changes, impacts, or requirements). Manage project timelines, blockers, and communication across multiple initiatives. Assist with A/B tests and experiments by supporting setup, tracking, and documentation. Document data processes, definitions, and project learnings to build transparency and self-service capabilities. Provide input and feedback on the data roadmap, tools, and infrastructure needs based on project execution experience. Who You Are… 3-5 years of experience in data product coordination, analytics operations, or a related project execution role. Strong communication and organizational skills. Able to work effectively with both technical and non-technical stakeholders. Experience supporting or coordinating data or analytics projects. Working knowledge of SQL, Python, and BI tools such as Tableau. Familiarity with using AI Tools in your day-to-day workflow. Understanding of A/B testing and experimental design. A process-oriented mindset. Someone who can bring structure, clarity, and follow-through to complex initiatives. Curiosity, humility, and a collaborative spirit. The base salary range for this role is $90,000 - $100,000. The base pay offered will be determined by factors such as experience, skills, training, certifications, education, and any applicable minimum wage requirements. In addition to base salary, this position is eligible for company performance-based bonuses and equity. We provide a comprehensive benefits package, including: Medical, dental, and vision insurance (multiple plans available) 401(k) with immediate employer match vesting Paid time off (including vacation, sick leave, and holidays) Paid sabbatical after 5 years of service Employee discounts Employee Assistance Program (EAP) Benefits at Farmer's Fridge: In This Together- We stay connected, whether in person or virtually. We encourage business transparency through monthly town hall meetings and weekly financial updates. We set out to make the best product on the market, and we believe we've done it. We value your input in the new menu creation process. From regular tasting panels, where employees provide new menu feedback. Happier Workdays- Each day at work should fill you with joy. We're a fun and passionate group, and we don't take ourselves too seriously. Bring your unique self to work, dress comfortably, and always feel free to share your thoughts and opinions. We encourage curiosity; there's no hierarchy here when we're all swapping ideas. Never run on empty- Daily Farmer's Fridge meal and office snacks are just some of the offerings to make sure you aren't distracted by a growling stomach. Recharge with our paid sabbatical program after five years of service. Innovate & Elevate- We're all teachers and learners. You'll grow and help grow the company through cross-functional collaboration, open access to leadership, and regular business updates. You have a direct impact on the company's bottom line. You can also impact your bottom line by participating in our 401(k) plan that includes a company match with immediate vesting. Farmer's Fridge Diversity Statement: "Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. At Farmer's Fridge, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles." Farmer's Fridge is an equal-opportunity employer. We are committed to providing equal employment opportunity in all employment practices, including hiring, without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, age, disability status, veteran status, or any other characteristic protected by federal, state or local law. View our disclosures related to External Agencies and Applicants below: https://www.farmersfridge.com/careerdisclosures

About the Team The Product Research team partners closely with Product Management, Design, Engineering, and Policy to ensure OpenAI builds products that are useful, usable, and responsible. We help teams understand user needs, evaluate product concepts, and validate experiences across the full product lifecycle-from early exploration through launch and iteration. Our work directly informs how OpenAI's products evolve, ensuring that we deliver experiences that meet real-world needs while upholding OpenAI's mission to ensure AI benefits all of humanity. About the role As a Product Policy - Data Scientist, you will design and lead high-impact research that shapes OpenAI's product strategy and user experience. You'll work across multiple product teams to generate insights that influence product decisions, inform design direction, and improve how people interact with AI. You will own research from start to finish-partnering with stakeholders to define the right questions, choosing the best methods, executing studies, and turning findings into clear, actionable recommendations. This role requires someone who can balance rigor with speed, bring clarity to ambiguity, and confidently influence cross-functional partners at all levels. This role is based in the San Francisco Bay Area and requires being in the office three days per week to collaborate closely with cross-functional partners. We're looking for people who: Partner with product managers, designers, and engineers to identify and prioritize research opportunities that improve product decisions and user experience Design and execute high-quality qualitative and quantitative research across all stages of product development, including foundational research, concept testing, prototyping, and usability testing Lead end-to-end research projects, from scoping and study design through recruitment, fieldwork, analysis, and reporting Translate complex research findings into clear, compelling insights that inform product strategy and design direction Present findings and recommendations to senior leadership and key stakeholders Balance rigor and speed by adapting methods to timelines while maintaining high standards for data quality and validity In this role, you will: 7+ years of experience in user experience research, market research, or a related field Deep expertise in mixed-methods research, with strong qualitative skills and the ability to conduct and analyze quantitative studies at scale Proven experience leading research that has shaped product or design decisions Exceptional written and verbal communication skills, with the ability to influence across disciplines and levels Experience working with senior stakeholders and cross-functional teams You might thrive in this role if. you: Experience with advanced quantitative methods (e.g., MaxDiff, conjoint, segmentation) Experience working with executive audiences or large enterprise clients About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team: The Factory Test team is responsible for hardware testing in our Long Beach facilities. We use our breadth of experience and collaborative engineering approach to support everything from very large structural tests to precise valve actuation. To that end, we design, build, and operate all test assets in Long Beach from initial concept to test execution. If you enjoy working on a multi-disciplinary team with a broad mandate and want to put hands-on hardware, then this is the team for you. About the Role: Set the technical direction, evaluate risk, and review design work of the engineering team as it relates to the data collection and control of our structural, mechanism, and component test stands Recruit, develop, mentor, retain, and manage top-tier data and control systems engineers at all levels of seniority Collaborate on multi-disciplinary projects and help build relationships with partner teams at all organizational levels including Structures Test, Fluids Test, Operations, Ground Software, Data Platform, Vehicle Engineering, and others Create, track, and report project schedules and budgets while reducing cost and lead time 50% of your time will be spent in an operational environment focused on real-time problem solving About You: BS in Electrical engineering or related field or equivalent demonstrated experience and knowledge Significant technical experience with data collection and control systems. Should be able to speak to past projects and direct, personal contributions 3+ years of previous experience leading an engineering team include the full talent life cycle History of activating complex projects in an operational environment and problem-solving in the field Previous experience scaling a team or navigating the transition from development to production Nice to haves but not required: Familiar with hydraulic and/or electric motion control schemes and applications Demonstrated success in a real-time operational environment like launch operations, test operations, factory turn-around, auto racing pit crew, or stage management. Past aerospace test experience is helpful but not required Familiarity with networking, software development, and deployment schemes Experience leading leaders Nice to haves but not required:

Do you enjoy getting to collaborate with cross-functional peers to define product and data science strategies? Do you have experience proactively identifying and communicating data quality issues while successfully working with other teams to implement solutions? This might be the role for you! About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About our Team: Opportunity to join a vibrant, collaborative team as a data scientist conducting statistical analysis and building predictive models for a variety of performance outcomes such as fraud and credit risk for one or more industries including (but not limited to) consumer and small business lending, telecommunication, retail, payments, log-ins, and e-commerce. You would be expected to have a firm understanding of data mining, statistical methods, and multiple modeling techniques. As part of the team you would be tasked with finding innovative ways to produce solutions to serve our customers and to continually expand your expertise. About the Role: A Data Scientist II should have a basic understanding of best-practice and can execute the methods for projects with supervision. Individuals in this role will continue to provide support to the Data Scientist team members and also begin to lead some analytic efforts. Responsibilities: Understand and execute analytic plans with the appropriate statistical or modeling technique. Conduct analyses supporting existing and new product development or customer sales opportunities. Assemble, merge and parse large amounts of data to detect meaningful trends and patterns. Explore opportunities to enhance existing products with new features or new data sources. Develop machine learning models, create model code, and work with internal or external stakeholders to validate accuracy of production code. Interpret, document, and communicate analytic work to non-technical audiences. Provide support to other data scientists across the organization. Critical reviews of data experiments to ensure accuracy, completeness, and feasibility. Other duties as assigned. Required Qualifications: Master's degree in statistics, data science, mathematics or quantitative methods. Experience with big data technologies and applying large scale machine learning techniques. Experience with version control through GitHub. Experience with Unix/Linux system architecture and command line tools. Experience in credit or fraud risk management industry. At least one year of experience building predictive models using machine learning and conducting data analysis using Python, R, SQL or similar software packages. At least one year of experience with mainstream programming languages, such as Python, R, Java, or Scala, in a collaborative environment using software development best practices such as version control and testing. Superior knowledge of data science frameworks, statistical methods and advanced machine learning techniques. High degree of creative, analytical and problem-solving skills. Ability to learn quickly and work effectively both independently and collaboratively. Ability to communicate complex technical or statistical concepts to a non-technical audience. Ability to apply modern data exploration and visualization techniques to deliver actionable insights. U.S. National Base Pay Range: $71,600 - $119,400. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

We are seeking a dynamic and highly skilled Principal Data architect who has extensive experience building enterprise scale data platforms to lead these foundational efforts. This role demands someone who not only possesses a profound understanding of the data engineering landscape but is also at the forefront of their game. The ideal candidate will contribute significantly to platform development, leading several data engineering teams with diverse skillset while also being very hands-on coding and actively shaping the future of our data ecosystem. We offer: Career Development Competitive Compensation and Benefits Pay Transparency Global Opportunities Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The base pay range for this role is estimated to be $134,250.00 - $179,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge and skills. Tasks and Qualifications: This is What You Will do in This Role: As the sole hands-on enterprise data architect, you will be responsible for ideation, architecture, design and development of new enterprise data platform. You will collaborate with other cloud and security architects to ensure seamless alignment within our overarching technology strategy. Architect and design core components with a microservices architecture, abstracting platform, and infrastructure intricacies. Create and maintain essential data platform SDKs and libraries, adhering to industry best practices. Design and develop connector frameworks and modern connectors to source data from disparate systems both on-prem and cloud. Design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices while keeping costs in check. Architect and design the best security patterns and practices Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data. Collaborate with data scientists, analysts, and cross functional teams to design data models, database schemas and data storage solutions. Design and develop advanced analytics and machine learning capabilities on the data platform. Design and develop observability and data governance frameworks and practices. Stay up to date with the latest data engineering trends, technologies, and best practices. Drive the deployment and release cycles, ensuring a robust and scalable platform. What We are Looking For: 15+ of proven experience in modern data engineering, broader data landscape experience and exposure and solid software engineering experience. Prior experience architecting and building successful enterprise scale data platforms in a green field environment is a must. Proficiency in building end to end data platforms and data services in GCP is a must. Proficiency in tools and technologies: BigQuery, SQL, Python, Spark, DBT, Airflow, Kafka, Kubernetes, Docker. Solid experience designing and developing distributed microservices based data architectures. Proficiency in architecting and designing and development experience with batch and real time streaming infrastructure and workloads. Proficiency with IoT architectures. Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows. Hands-on experience with GCP ecosystem and data lakehouse architectures. Strong experience with container technologies such as Docker, Kubernetes. Strong understanding of data modeling, data architecture, and data governance principles. Excellent experience with DataOps principles and test automation. Excellent experience with observability tooling: Grafana, Datadog. Previous experience working with engineers of all levels - Principal, Senior and Junior What Will Set You Apart : Experience with Data Mesh architecture. Experience building Semantic layers for data platforms. Experience building scalable IoT architectures #LI-DP1