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About Annalect Annalect is the Data & Technology arm of Omnicom Media Group Annalect's 4,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter - whether that means fostering consumers' trust in brands, building new experiences, or delivering advanced analytics where it's most needed. Annalect is the driving force behind Omni, Omnicom's unique open operating system, which works hand-in-hand with clients' and partners' data and tools, to orchestrate better marketing outcomes. Annalect's unique approach to data and technology - one that relies on transparency, neutrality, and interoperability - allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients. Team Overview: The Annalect Engineering team is an engaged and innovative group of technologists that includes backend, frontend, full-stack, and data engineers. It is comprised of remote team members who are highly collaborative and committed to a culture of work/life balance and continual learning and development. Position Overview: Annalect is currently seeking a data engineer to join our technology team. In this role you will build Annalect products which sit atop cloud-based data infrastructure. We are looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions. Key Responsibilities: Steward data and compute environments to facilitate usage of data assets Design, build, test and deploy scalable and reusable systems that handle large amounts of data Manage small team of developers Perform code reviews and provide leadership and guidance to junior developers Learn and teach new technologies Required Skills And Qualifications: BS, MS or PhD in Computer Science, Engineering, or equivalent real-world experience (You've learned something to be able to claim you are an engineer) Experience designing and managing data flows Experience designing systems and APIs to integrate data into applications 8+ years of Linux, Bash, Python, and SQL experience 4+ years using Spark and other Hadoop ecosystem software 4+ years using AWS cloud services, esp. EMR, Glue, Athena, and Redshift 4+ years managing team of developers Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges Significant experience with Python, C++, or other popular language Experience with big data and/or infrastructure. Bonus for having experience in setting up Petabytes of data so they can be easily accessed. Understanding of data organization, i.e., partitioning, clustering, file sizes, file formats. Data cataloging with Hive/Hive metastore or Glue or something similar. Experience working with relational databases. Experience with Hadoop, Hive, Spark, or other data processing tools Experience building scalable data pipelines (Airflow experience a plus) Significant experience working with AWS and/or GCP Proven ability to independently execute projects from concept to implementation to launch and to maintain a live product Please note: This role will require an in-office presence, 3 days per week. Perks of working at Annalect Culture! We have an incredibly fun, collaborative environment that encourages engagement and work/life balance Generous PTO that includes vacation days, personal days, a fantastic Summer Friday program and extended time off around the holiday season. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a "startup" - we move fast, break things, and innovate. #LI-CC2 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $90,000-$150,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice

Position Definition: We are seeking a highly motivated and skilled Data Scientist to join our team focused on understanding the complicated relationship between biomechanical markers and aortic disease. This role will be instrumental in leveraging big data approaches to analyze vast datasets, identify patterns, and develop predictive models. Essential Functions: Data Acquisition and Processing Collaborate with biomechanics researchers and engineers to collect and integrate large-scale biomechanical datasets. Develop efficient data cleaning and preprocessing pipelines to handle diverse data types and ensure data integrity. Feature Engineering and Model Development Extract meaningful measures from biomechanical data, potentially including motion capture, force plate, and physiological measurements. Design and implement advanced machine learning models (e.g., deep learning, statistical modeling) to predict aortic disease risk progression. Model Evaluation and Validation Develop rigorous evaluation metrics and perform robust statistical analysis to assess model performance. Validate model predictions against clinical outcomes and validate findings across diverse patient populations. Data Visualization and Communication Create clear and concise visualizations to communicate complex data relationships and model insights to stakeholders. Present findings to research teams, clinicians, and collaborators in a clear and impactful manner. Collaboration and Research Collaborate effectively with researchers, engineers, and clinicians across disciplines to ensure alignment of data analysis with research goals. Contribute to publications, presentations, and grate proposals related to the project. Job Requirements: Master's or PhD degree in Computer Science, Data Science, Statistics, Biostatistics, Biomechanics, or a related field. 3+ years of experience in data analysis, machine learning, or biostatistics. Strong foundation in statistical modeling, machine learning techniques (e.g., classification, regression, clustering), and data mining. Proficiency in programming languages like Python, R, or similar, with experience in data manipulation libraries like pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. Experience with big data technologies (e.g., Hadoop, Spark, cloud computing platforms) is a plus. Excellent understanding of biomechanics principles, particularly related to cardiovascular health, is preferred. Strong communication, visualization, and presentation skills with the ability to convey technical information effectively to diverse audiences. Working Conditions/Environment: The work environment for this position will include an indoor office and a medical research environment. It may include some minor annoyances such as noise, temperature variations, etc. The incumbent may sustain posture in standing or seated position and may utilize a computer terminal for prolonged periods of time. The base wage range for this position is $68,640.00 - $93,060.24 per year. Salary and rank will commensurate with the candidate's qualifications and experience. The wage actually offered to a successful candidate will take into account various relevant and non-discriminatory business factors including, without limitation, the candidate's geographic location, job-related experience, knowledge, and skills, and education, as well as internal equity considerations. A successful candidate may also be eligible to earn additional compensation including bonuses. The Northern California Institute for Research and Education (NCIRE) is an Equal Employment Opportunity Employer. NCIRE is committed to a policy that provides equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, Veteran status, sexual orientation, or any other characteristic protected under federal and state law, and to make all employment decisions based on merit, qualifications, and abilities. We are committed to furthering the principle of equal employment opportunity. NCIRE actively works to attract and retain talented individuals. NCIRE offers career opportunities in research and administration in pursuit of furthering medical research for our nation's Veterans.

The Company At Utica National Insurance Group, we employ over 1,400 people across the United States who are dedicated to our corporate promise: To make people feel secure, appreciated, and respected. As an AM Best "A" rated, $1.5 billion award-winning, nationally recognized property & casualty insurance carrier, we operate along the Eastern half of the United States with our Home Office in Central New York and Regional Offices in cities such as Boston, NYC, Chicago, Atlanta, and Dallas. What Will you Do We are seeking an experienced Data Architect to join our dynamic IT team. This role is crucial in developing and optimizing database solutions that support our business processes and enhance operational efficiency. Key Responsibilities Database Development: Develop and optimize database solutions to store and retrieve vital company data. System Configuration: Install and configure information systems to ensure functionality. Structural Analysis: Analyze structural requirements for new software and applications. Data Migration: Migrate data from legacy systems to new solutions. Data Modeling: Design conceptual and logical data models. Performance Optimization: Conduct tests and troubleshoot to improve system performance. Security & Compliance: Define security and backup procedures to ensure data protection and compliance. Collaboration: Coordinate with the Data Science team to identify future data needs. Prototyping: Perform prototypes/POC to validate new solutions and methods. Mentorship: Provide peer reviews, mentoring, and support to the software development team. Corporate Compliance: Ensure compliance with all corporate policies and procedures. What Will you Need Education: Bachelor's Degree in Business Administration, Computer Science, or a related field preferred. Experience: 4-7 years of implementation experience with P&C Insurance software applications preferred. Technical Skills: Strong experience in SQL/Oracle and relational database design. Familiarity with business intelligence, ETL tools, and strong experience in Oracle PL/SQL or T-SQL. Background in Software Development Salary Range: $83,896 - $125,844 The final salary to be paid and position within the internal salary range is reflective of the employee's work experience, their geographic location, education, certification(s), scope and responsibilities in the role, and additional qualifications. Benefits: We believe strongly that talented people are core to our success and are attracted to companies that provide competitive pay, comprehensive benefits packages, career advancement and challenging work opportunities. We offer a Comprehensive Benefits Plan for full time employees that include the following: Medical and Prescription Drug Benefit Dental Benefit Vision Benefit Life Insurance and Disability Benefits 401(k) Profit Sharing and Investment Plan (Includes annual Company financial contribution and discretionary Profit Sharing contribution based upon annual company financial results) Health Savings Account (HSA) Flexible Spending Accounts Tuition Assistance, Training, and Professional Designations Company-Paid Family Leave Adoption/Surrogacy Assistance Benefit Voluntary Benefits - Group Accident Insurance, Hospital Indemnity, Critical Illness, Legal, ID Theft Protection, Pet Insurance Student Loan Refinancing Services Care.com Membership with Back-up Care, Senior Solutions Business Travel Accident Insurance Matching Gifts program Paid Volunteer Day Employee Referral Award Program Wellness programs Additional Information: This position is a full time salaried, exempt (non overtime eligible) position. Utica National is an Equal Opportunity Employer. Apply now and find out what it's like to be a part of an amazing team, thrive in an exciting environment and work for a company you can be proud of. Once you complete your application, you can monitor your status in the hiring process by logging into your profile. A representative from our Talent Acquisition team will be in touch regarding any change in your candidacy. #LI-MR1

Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Description Summary: Our Enterprise Data Governance team is growing, and we're looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead will help develop current team members while serving as a technical leader with expertise in the development, implementation, and management of our Data Governance framework. Data Risk Lead support enterprise data government capabilities and partner across the bank assisting in the team's work on data sharing agreements (drafting, reviewing and processing, monitoring, and close-out), developing documentation of policies and processes related to data sharing and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, and leading and documenting meetings with stakeholders across the agency involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics team as we develop data solutions to better serve our customers, support our communities, and make our colleagues' lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Duties and Responsibilities: Works closely and manages relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Work as a lead of the Data Governance team to build upon extensible frameworks and existing data rules, including the capture of localized requirements determined by local Policy Groups. Takes a lead role in capturing requirements and document processes, including the ability to act as a trusted advisor to our stakeholders. Lead the design and enablement of technology and processes upon which the data rules are enforced. Lead the creation of new processes and end-to-end design of various components within the Data Governance framework. Manage and document requirements from various stakeholders and take a lead role working closely with the project management team to track progress and provide status updates. Support the design and enablement of technology and processes upon which the data rules are enforced. Support the creation of new processes and end-to-end design of various components within the Data Policies Capability Gather feedback from solution teams and service lines to inform the execution of the various services of the Data Policies capability and take a lead role to manage junior members in the team. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Lead data management teams on the implementation of data quality, metadata and lineage, data sourcing and usage, data issue management requirements Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Provide leadership, coaching, and mentoring to team members while serving as a role model. Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs. Anticipate and analyze trends in technology while assessing the emerging technology's impact with regards to the Data Governance framework. Perform other duties as assigned. Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience implementing data governance frameworks (e.g., data policies, standards, and controls), experience developing and/or implementing data governance policy and standards, and experience working with IT and/or business segments on the analysis of complex business processes and data governance needs Must have hands on SQL + VB Script Excel. Preferred Qualifications: Experience leading project teams, with or without formal direct reporting relationships History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Extensive experience in performing data maturity assessments Extensive experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents, Experience tracking data policies, standards, and controls throughout the lifecycle (including monitoring, enforcement, and close-out), and facilitating and documenting meetings with internal and external stakeholders at all levels Proven Track record within Data Governance with influencing the overall direction of data policies, standards, and controls, and data lifecycle management Risk management, regulatory, compliance, and/or audit experience is a plus Experience in strategy, process improvement, management consulting is a plus Ability to effectively drive requirements and gain consensus In-depth knowledge of governance policy, standards, and controls processes Ability to constructively challenge requirements and current state to increase overall value to the organization Well-versed with latest data policy decisions, guidelines, and business trends Able to translate long-term visions into actionable roadmaps that are broadly accepted Ability to translate business and functional needs into policy, standards, and controls requirements, and estimate their impact across the data lifecycle Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders Excellent executive communication and business writing skills, including ability to draft business requirements Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework In-depth understanding of the business objectives of business segments and how our Data Policy & Standards support those objectives Strong ability to analyze complex situations and to derive workable actions Strong ability to identify, prioritize and weigh different options and to recommend value-add solutions Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change Strong analytical skills Ability to build strong relationships throughout the organization High level of organization and attention to detail Negotiation, influencing, and partnership skills Excellent written and verbal communication skills Self-starter attitude with the ability to work independently Business outcome focused Demonstrated perseverance Ability to train less experienced colleagues regarding day-to-day activities Proven ability to lead cross-functional efforts Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Who You Are: You are a passionate engineer who enjoys taking on new challenges. You are looking for an opportunity in a startup where you can grow with the company as an engineer. You are excited about building large scale distributed data systems and enjoy solving complex software problems. You are energized by the opportunity to help grow our product portfolio. You are self-motivated and are able to switch contexts as business needs change. With over 6 years of professional experience, you are adept at introducing new pragmatic designs and providing strong technical leadership. You value good design and readable code over fleeting trends. Our Stack: Programming Languages: GO and TypeScript Frameworks: React, Vite, MaterialUI Relational Databases: MySQL, PostgreSQL NoSQL Databases: ElasticSearch, DynamoDB Infrastructure: AWS, Docker, Terraform Operating Systems: Linux, Windows What You'll Do: Feature Development: Develop, deploy, and test existing and new products. Ensure high-quality results and timely delivery of full product roadmap items. Technical Leadership: Provide strong leadership on technical direction and pragmatic design decisions. Maintain good work ethics and a humble attitude while working in a fast-paced environment. Troubleshoot customer-reported issues. Team Collaboration and Improvement: Adopt existing team practices and recommend improvements as needed. Work collaboratively with team members to achieve common goals. Mentor junior engineers, fostering a culture of continuous learning and improvement. Requirements: Professional Experience: At least 8 years of professional experience delivering high-quality production software. Technical Proficiency: Strong working knowledge of a programming language in our stack. Strong working knowledge of building and interacting with RESTful APIs. Strong working knowledge of a relational and a NoSQL based database in our stack. Strong computer science fundamentals in data structures, algorithms, and object-oriented programming. Working knowledge of software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build and deployment processes, and testing. Cloud Experience: Strong working knowledge of AWS services such as API Gateway, AWS Lambda, EMR, EC2, and ECS. Communication and Problem-Solving: Excellent communication and writing skills. Version Control and Additional Skills: AWS CodeBuild GitHub GitHub Actions

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses. Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment. Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship. Overall Purpose Privacy & Data Risk Management Analyst supports the execution, monitoring, and maintenance of the Company's Privacy and Data Risk Management programs and department initiatives. This role is designed to ensure effective privacy, model and data governance practices are in place, and to establish a risk-awareness culture across the organization. Essential Functions Supports the Privacy and Data Risk Management programs and various department initiatives such as policy and procedure management, training and awareness, and control testing. Assists in cataloging data for the purposes of information classification, retention and disposal, and records of processing personal information. Assists in preparing for and responding to internal and external audits/exams. Monitors, tracks, and reports on program metrics and key performance indicators. Maintains tracking of reports in MS Office tools. Supports business-line leadership in managing and reporting its related risks; scribe and publish meeting minutes for ongoing meetings. Perform Governance Risk and Compliance (GRC) activities utilizing the Company's GRC platform. Support the Company's commitment to risk management and protecting the integrity and confidentiality of systems and data. The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor. Minimum Qualifications Education or experience typically obtained through completion of a bachelor's degree. Minimum of 2 or more years working within the risk function focused on privacy and data management. Ability to learn quickly, think critically, and apply problem-solving skills to resolve issues and implement process improvements. Effective analytical and decision-making skills to determine best solutions for situations. Strong oral and written communication skills. Must be able to communicate with various levels of employees within the department. Ability to work independently and within a team environment. Background and drug screen. Preferred Qualifications Experience in Risk Management is highly preferred. Experience with data visualization tools such as Tableau. Understanding of data management principles is preferred. Experience developing dashboards and automation of metrics. Proficient in MS Office, PowerPoint, Excel, and Word. Physical Requirements Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers. Employees must be able to perform essential functions and physical requirements of position with or without reasonable accommodation. The base pay scale for this position in: Phoenix, AZ in USD per hour is: $29.00 - $35.00. Additionally, candidates are eligible for a discretionary incentive plan and benefits. This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes. Some of the Ways We Prioritize Your Health and Happiness Healthcare Coverage- Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses. 401(k) Retirement Plan- Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility. Paid Time Off- Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day. 12 weeks of Paid Parental Leave Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work. And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process! Early Warning Services, LLC ("Early Warning") considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees. Early Warning Services LLC is a proud participant in E-Verify, a federal program to help ensure a legal and authorized workforce. As part of our hiring process, we electronically verify the employment eligibility of all new hires through E-Verify. For more information on your rights and responsibilities under E-Verify please visit Home | E-Verify.

Job Title: Applied Data Scientist Role Overview We are looking for a pragmatic and creative Applied Data Scientist to join our cybersecurity team. This role focuses on building ML models that detect phishing threats across email and web channels at scale. You will work at the intersection of ML, adversarial content analysis, and real-time detection, collaborating closely with researchers and engineers to develop robust and explainable defenses against evolving social engineering and phishing attacks. The Location: We are considering candidates who can work in a hybrid model, based out of or near the Raleigh, North Carolina area. Key Responsibilities ● Develop and refine NLP models to detect malicious intent, impersonation, and social engineering patterns across emails and web. ● Collaborate with phishing researchers to label real and synthetic phishing samples and validate model behavior. ● Design end-to-end ML/AI pipelines using both traditional NLP methods (TF-IDF, topic modeling) and modern transformer-based models (BERT, RoBERTa, GPT, LLaMA). ● Simulate adversarial phishing attacks using GenAI to stress-test models and improve resilience to evasion techniques. ● Monitor model drift and adversarial adaptation, tuning for generalization across varied customer environments and content types. ● Integrate models into production systems with scalable, interpretable outputs that support real-time decisions. Requirements ● 5+ years of experience developing NLP models, ideally in cybersecurity, fraud, or related risk-focused domains. ● Proven track record with NLP techniques including text classification, intent detection, and keyword/topic extraction. ● Strong Python programming skills with hands-on experience in ML/NLP libraries such as scikit-learn, spaCy, HuggingFace Transformers, TensorFlow, or PyTorch. ● Experience working with unstructured, adversarial, or noisy datasets (e.g., phishing emails, social engineering content, suspicious sites). ● Ability to work cross-functionally with threat researchers, analysts, and engineering teams to translate findings into detection logic. Nice to Have ● Familiarity phishing-specific datasets, or indicators like SMTP headers and MIME structures. ● Experience deploying ML models in production environments with a focus on latency, scalability, and interpretability. ● Background in Computer Vision techniques (OpenCV, Tesseract OCR, Vision Transformers etc.), especially for analyzing screenshots or visual phishing artifacts. We invite you to check out our Instagram Page to gain further insight into the Varonis culture! @VaronisLife Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics #LI-Hybrid Please review our Notice of E-Verify Participation and our Right to Work Statements.

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and 30,000 dealerships use our products. But they're not the only ones who love CarGurus-our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview We are looking for a Senior Product Data Analyst to join the team, which tackles a complex data environment, builds out core assets, runs experiments, and executes on many more unstructured analytics tasks to support the growth of the Mobile App. Our Product Data Analytics org as a whole supports our Product and Engineering teams, providing the final word on all analytics for CarGurus' user and dealer experiences. We are looking for thoughtful, curious, internally driven candidates who can dive into complex data and draw novel, insightful conclusions. What you'll do Using your SQL expertise, conduct exploratory empirical analyses that bridge disparate data sources (e.g. app and website usage, subscription records, inventory volumes, etc.) to quantify product performance, user behavior, and/or market trends. Doing so will require distilling unstructured "big data" into actionable insights. Creatively compress sweeping, high-level exploratory requests into specific calculations that address your stakeholders' underlying needs. Relentlessly dig into the data - consulting with other individuals and teams as you judge necessary - beyond the letter of the initial assignment, to hammer out any anomalies or self-direct your inquiry into other relevant issues. Be comfortable escalating and automating your analyses using R/Python scripting. Be the authority on A/B experimentation, advising engineers and product managers on everything from the necessary data points to collect, required sample sizes, optimal metrics to examine, robustness of numerical findings, and the bottom-line success or failure of the tested changes. Provide technical guidance on and ideas for improving A/B testing-related tools, algorithms, and automated processes. Conduct self-directed research on the latest trends in A/B experimentation, and map out internal improvements based on your findings. Advocate for specific, data-driven product innovations that help further high-level company strategy, primarily in partnership with the Product/Engineering teams. Participate in brainstorming and planning discussions across the organization to these ends. Avoid passivity in the face of flawed proposals; tactfully and persuasively push back against potential missteps. Craft the metrics that define business success, condensing abstract or loosely-defined concepts down to concrete calculations. Audit and improve existing metrics to better inform the business' needs. Build intuitive dashboards and other visual monitoring tools to guide daily decision-making by senior stakeholders and the company at large. Experiment with new kinds of visualizations that you believe could be better utilized in the organization. Re-work underlying code to appropriately structure visualization inputs. Communicate and present complex quantitative findings in easily digestible terms to company leadership, homing in on key takeaways. Concretely and informatively respond to any probing, on-the-spot follow-up questions from senior decision-makers. Conceive of new data assets and build automated transformations (via DBT, LookML, etc.) to bring them to fruition. Partner with Data Engineering teams to advance core data modeling/architecture (e.g. user clickstream logging), by optimizing, integrating, and distilling large raw datasets and metadata. Draw upon prior experience with expansive, unrefined datasets to fix modeling bottlenecks in quick, scalable, outside-of-the-box ways. What you'll bring Bachelors/Masters Degree with 4+ years of experience in an analytics or analytics-adjacent field, ideally involving complex data modeling, quantitative analysis, and applied statistics. 2+ years of experience communicating the results of analyses to leadership teams to influence strategy Expert fluency in SQL. Strong background with Python (or similar programming language) is required. Second-nature understanding of core statistical concepts (regression, significance testing, omitted variable bias, independence/dependence, etc.) Knack for creative data visualizations. Willingness to step outside your role and independently come up with novel ideas for the business. Willingness to challenge others' ideas and advocate for your own. Excellent verbal and written communication skills. Very comfortable presenting high-impact and potentially sensitive findings to senior leadership. Strong project planning skills, with experience building roadmaps, estimating required resources, and flagging inter-dependencies with other teams/projects. Preferred tools/programs: Snowflake, Snowplow, DBT, Looker, Jira, Salesforce, Google/MS suite Working at CarGurus We reward our Gurus' curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential-starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That's why we hope you'll apply even if you don't check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid

Industry/Sector Not Applicable Specialism Oracle Management Level Manager Job Description & Summary A career in Oracle consulting will provide you with the opportunity to help organisations use enterprise technology to achieve their digital technology goals and capitalise on business opportunities. We help our clients implement and effectively use Oracle offerings to solve their business problems and fuel success in the areas of finance, operations, human capital, customer, and governance, risk and compliance. The Oracle Data and Analytics team, within Oracle consulting, provides you with the opportunity to help our clients transform their organization through better use of data and analytics to drive profitable growth, reduce operational costs, improve customer experience, empower employees, reduce operational risk, and address regulatory requirements. We help our clients define their Data and Analytics strategy and effectively see the strategy through execution. We help implement and effectively use broad technology offerings including Oracle Analytics and Data solutions along with enhanced Data Governance and Data Management capabilities to solve their business problems and achieve their strategic business goals. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. As part of the Oracle Data and Analytics team you manage data strategy, data roadmap, data governance, and data solution implementation projects. As a Manager you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for securing project success and maintaining top standards. You are responsible for leading a team of on and off-shore resources, including business analysts, data analysts, solution architects, and developers to deliver a data-focused engagement. Responsibilities Lead teams in managing data strategy, data roadmap, data governance, and data solution implementation projects Manage client accounts with a focus on strategic planning and mentoring junior staff Oversee a team of on and off-shore resources Confirm top standards and project success Foster a collaborative and innovative team environment Develop and maintain powerful client relationships Mentor and develop junior team members Lead business analysts, data analysts, solution architects, and developers What You Must Have Bachelor's Degree 7 years of experience What Sets You Apart Bachelor's Degree in Computer Science, Computer and Information Science, Information Technology, Management Information Systems preferred Managing data strategy and data solution implementation projects Leading a team of on and off-shore resources Analyzing end-to-end data flows and conducting hands-on data analysis Designing improved data flows and architecture Overseeing project timelines and risks Utilizing and leading data programs with various products Managing consulting engagements in data architecture Automating processes and analytics Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Science and Machine Learning Engineering team you will design and develop AI/ML systems that transform client operations. As a Senior Associate, you will lead projects from conception to production, mentoring others while engaging clients to align technology with business objectives. This role allows you to stay at the forefront of AI advancements and contribute to innovative solutions that drive business success. Responsibilities Conduct experiments to validate and refine models Stay abreast of advancements in AI and machine learning Work with diverse teams to foster innovation Translate technical models into scalable business solutions What You Must Have Bachelor's Degree 3 years of experience What Sets You Apart Demonstrating leadership in team environments Communicating technical concepts to diverse audiences Building and deploying machine learning systems Programming proficiency in Python Working with AI frameworks like Pytorch and Tensorflow Familiarity with MLOps and deployment tools Understanding generative AI model development Managing time effectively under deadlines Passion for continuous learning and knowledge acquisition Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $55,000 - $187,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Clinical Research Data Specialist The University of Miami/UHealth department of SCCC has an exciting opportunity for a Full Time Clinical Research Data Specialist to work at in North Miami, FL. The Clinical Research Data Specialist assists in creating, updating, and maintaining research charts and case report forms, including regulatory related issues, in accordance with department standard operating procedures, under the supervision of the Principal Investigator (PI) and supervisor. The Clinical Research Data Specialist is responsible for the compilation, registration and submission of data, monitoring compliance with the protocol, adherence to SOPs, and all applicable regulations and guidelines. CORE JOB FUNCTIONS Extracts clinical data and research data from electronic medical records and other sources and enters this data in the clinical paper-based or electronic data capture system for each assigned study. Manages a workload of studies commensurate to level of experience Answers data clarifications (i.e., data queries) for each study. Schedules and meets with study monitors and assures patient cases are ready for each monitor visit and items are addressed after each monitoring visit. Develops source data worksheets specific to each assigned study. Assures clinical issues from monitoring reports are addressed and closed out before the next monitoring visit. Assures all study requirements are documented and meet both internal and external regulations in accordance with protocol guidelines. Maintains logs (i.e., TAS submissions, Velos etc.) in a timely manner according to department SOPs. Participates in site initiation visits (SIV), monitoring visits and participates in site disease group (SDG) team and PI oversight meetings as required. Assists multidisciplinary team in research activities. Maintains study binders and filings according to protocol requirements and department policy. Adheres to all UM and department policies and procedures. Compiles patient data for Investigator review to determine patient eligibility for protocol enrollment. Maintains screening, enrollment, adverse event, deviation, tumor measurement, concomitant medication, delegation and other sponsor and/or protocol specific logs. Ensures work environment is organized and functions efficiently. Participates in a collaborative, empowered work environment as demonstrated through teamwork. Demonstrates a level of professional practice that supports the delivery of appropriate care and positive working relationships throughout the medical center. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS High School diploma or equivalent required No previous experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. Any relevant education, certifications and/or work experience may be considered. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A6

Your work will change lives. Including your own. The Impact You'll Make Recursion is at the forefront of reimagining drug discovery through the integration of automated cell biology, high-dimensional and diverse data sets, and sophisticated analytics. We are seeking an Associate Director, Clinical Data Management who can lead and oversee end to end Clinical Data Management activities on assigned studies and programs. You'll also play a critical role in the management of all the 3rd party data sources and serve as SME for Data Management. You'll be responsible for leading and delivering initiatives for CDM within the Biometrics group. You'll also be proactive and be keen to collaborate with cross functional groups within the Clinical Development organization and larger Data Science teams at Recursion. Daily, you will be responsible for all the CDM study activities and deliverables, document reviews, oversight of CRO's, timelines and project risk management. You can expect to work on multiple projects at the same time in a fast-paced and exciting environment. In this role, you will: Lead End to End Data Management activities with hands on ability to manage outsourced studies and lead DM and external vendor oversight activities and deliverables.Proficiency in project management leading 3-4 outsourced programs, simultaneously. Represent Data Management function in Clinical Study Meetings, ensuring proactive alignment of expectations between the CRO and Recursion regarding all data-related deliverables. Work with CRO and Recursion functional groups to complete EDC set up and other systems such as IRT, ePRO etc., Establish Vendor Oversight Plans for all studies and responsible for Vendor Data Quality Reviews and Oversight. Serve as a SME for various operational activities and DM processes like EDC, External data standardization, Collection, and Processing. Lead the efforts with Biometrics and Clin Dev organizations for creation and standardization of CRF's Data Review Plans etc., Lead/Oversee the creation and maintenance of Data Management documents including, but not limited to, CDMP, CCG's, Data Review Plans, edit checks, Listing review checks, Data Integrations specs, Data Transfer Specs, External Data Reconciliation plans, SAE Reconciliation Guidelines, Coding Guidelines, Database Lock, Checklists and Plans. Coordinate with vendors to guarantee that data collection is compatible with clinical databases and meets SDTM requirements. Strategic and critical thinker who can independently lead initiatives and effectively collaborate cross functionally. Accountable for coordination with other functional groups for submission related activities. Manage strategic input into the design of data flow across EDC and non-EDC data sources across vendor networks. Ensure filing, archival and inspection readiness of all Data Management Trial Master File (TMF) activities. Review and manage external Data Management Budgets, ensure accuracy, and understand trends to support Budget planning and forecasting. Support the development of Clinical Data Management Standard Operating Procedures and Work Instructions. Comply with Good Clinical Practices (GCPs), applicable regulatory guidelines, SOPs, policies, and CDM guidance documents. The Team You'll Join Reporting to Senior Director, Clinical Data Management and working closely with Biometrics, Clinical Operations and Clinical development Organization, you will be an essential member of the Recursion Development Team. The Development Team is an empowered, execution-minded group of drug development professionals responsible for translating Recursion's innovative science to patients through clinical development activities. The Experience You'll Need Bachelor's degree in science, math or computer science 12+ years' experience in the biopharmaceutical industry. Experience, technical proficiency and People management skills will determine the level. Experience managing external data and 3rd party vendors is a must. Strong knowledge of regulations and guidelines that apply to the conduct of clinical trials. Excellent written and verbal communication skills and ability to work collaboratively as a part of a team. Working Location & Compensation: This position can be based at any of our offices in Salt Lake City / New York City / London / Oxford. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. Relocation support can be provided for this role. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is: $189,00 - $244,000 USD You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-CP1 The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at www.Recursion.com, or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Company: Marsh McLennan Agency Description: Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE: PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform. Wе аrе сurrеntlу hіrіng а Dаtа Sсіеntіѕt tо hеlр grоw оur соmраnу аnd еnѕurе оur mіѕѕіоn іѕ асhіеvеd! Thіѕ rоlе іѕ а wоrk-frоm-hоmе роѕіtіоn аnd саn bе реrfоrmеd rеmоtеlу аnуwhеrе іn thе соntіnеntаl UЅ оr іn оnе оf оur соrроrаtе lосаtіоnѕ іn Utаh оr Аrіzоnа. WЕ АRЕ: А tеаm оf hungrу еntrерrеnеurѕ wіth bіg drеаmѕ, grіttу FіnTеch ехреrtѕ, раѕѕіоnаtе аbоut dіѕruрtіng bіg mаrkеtѕ, jоіnеd оn а mіѕѕіоn tо mоdеrnіzе аnd ассеlеrаtе оur tесhnісаl еnvіrоnmеnt. Wе lіkе tо mоvе quіcklу, brеаk thіngѕ, mаkе mіѕtаkеѕ, аnd gеt bеttеr еvеrу dау, аѕ lоng аѕ wе аrе соntіnuоuѕlу dеlіvеrіng. YОU АRЕ: А drіvеn аnаlуtісѕ рrоfеѕѕіоnаl. Аѕ а Dаtа Sсіеntіѕt, уоu wіll blеnd аnаlуtісѕ, dаtа mіnіng, mасhіnе lеаrnіng, аnd ѕоftwаrе еngіnееrіng tо buіld ѕоlutіоnѕ thаt wіll rеѕult іn mаѕѕіvе іmрrоvеmеntѕ tо thе wау wе dо buѕіnеѕѕ. Yоu wіll bе rеѕроnѕіblе fоr dеvеlоріng аnd іmрrоvіng kеу dесіѕіоn ѕуѕtеmѕ аnd рrеdісtіvе mоdеlѕ tо drіvе mахіmum buѕіnеѕѕ іmрасt. Yоu wіll dеvеlор а рrоfоund undеrѕtаndіng оf оur сuѕtоmеrѕ, buѕіnеѕѕ рrосеѕѕеѕ, рrоduсtѕ, аnd fіnаnсіаlѕ bу ѕtudуіng thе dаtа thаt dеѕсrіbе еасh оf thеѕе еlеmеntѕ. Yоu'll bе аt thе fоrеfrоnt оf thіѕ rаріdlу еvоlvіng fіеld аnd hаvе thе орроrtunіtу tо dеvеlор уоur оwn tооlѕ аnd tесhnоlоgіеѕ. Mоѕt іmроrtаntlу, уоu'll bе раrt оf а tеаm thаt fоrmѕ thе bасkbоnе оf а fаѕt-grоwіng соmраnу аt thе fоrеfrоnt оf аn ехсіtіng, grоwіng іnduѕtrу. YОUR DАY-TО-DАY: Buіld, mаіntаіn, аnd іmрrоvе dесіѕіоn ѕуѕtеmѕ аnd рrеdісtіvе mоdеlѕ thаt аrе kеу tо Рrоgrеѕѕіvе Lеаѕіng'ѕ соmреtіtіvе аdvаntаgе Еxрlоrе nеw dаtа ѕоurсеѕ bоth іntеrnаl аnd ехtеrnаl tо Рrоgrеѕѕіvе аnd uѕе fіndіngѕ tо furthеr іmрrоvе mоdеl реrfоrmаnсе Dеѕіgn, іmрlеmеnt, аnd rеаd іn-mаrkеt ехреrіmеntѕ tеѕtіng nеw аlgоrіthmѕ, tесhnоlоgіеѕ, аnd рrосеѕѕеѕ Рrоtоtуре ѕоlutіоnѕ tо buѕіnеѕѕ рrоblеmѕ uѕіng сuttіng-еdgе tесhnоlоgіеѕ Rесоmmеnd аnd ѕuрроrt ѕtrаtеgіс сhаngеѕ thrоugh rіgоrоuѕ аnаlуtісѕ, сrеаtіvе рrоblеm ѕоlvіng Іdеntіfу, еvаluаtе, аnd hеlр іmрlеmеnt аdvаnсеd аnаlуtісѕ mеthоdѕ Bе раrt оf а соllеgіаl, fаѕt-grоwіng tеаm оf lіkе-mіndеd dаtа ѕсіеntіѕtѕ! YОU'LL ВRІNG: Mаѕtеr'ѕ dеgrее іn а quаntіtаtіvе / tесhnісаl fіеld (Mаth, Ѕtаtѕ, Есоn, Еng, Рhуѕісѕ, СоmрЅсі) Еxреrіеnсе wіth R, Руthоn, аnd mасhіnе lеаrnіng tооlѕ Еvіdеnсе оf аррlуіng аdvаnсеd mоdеlѕ tо rеаl-wоrld рrоblеmѕ Аbіlіtу tо сrаft rіgоrоuѕ rеѕеаrсh / еvаluаtіоn dеѕіgnѕ Аdvаnсеd knоwlеdgе оf SQL, еtс. Undеrѕtаndіng оf mоdеrn ѕоftwаrе dеvеlорmеnt (Аgіlе, Gіt, DеvОрѕ) А рrоvеn trасk rесоrd оf рrоblеm ѕоlvіng аnd іmрlеmеntаtіоn YОU МІGHT АLЅО HАVЕ: Еxреrіеnсе іn еngіnееrіng еnvіrоnmеntѕ Еxреrt knоwlеdgе оf DеvОрѕ, SQL, Gіt Fаmіlіаrіtу wіth lеgасу tооlѕ оr сlоud mіgrаtіоnѕ WЕ ОFFЕR: Соmреtіtіvе Соmреnѕаtіоn Аррrоасhеѕ tо grоw оn dаtа ѕсіеnсе / lеаdеrѕhір раthѕ Full Hеаlth Веnеfіtѕ: Меdісаl / Dеntаl / Vіѕіоn / Lіfе + Раrеntаl Lеаvе Соmраnу-Маtсhеd 401k Раіd Тіmе Оff + Vоluntееr Hоurѕ ЕRGѕ (Blасk, Wоmеn, РRІDЕ, Аdеlаntе) Еmрlоуее Ѕtосk Рurсhаѕе Рrоgrаm Тuіtіоn Rеіmburѕеmеnt Сhаrіtаblе Gіft Маtсhіng Nесеѕѕаrу Еquірmеnt & Ѕеrvісеѕ Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.

Crusoe is building the World's Favorite AI-first Cloud infrastructure company. We're pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About the Role: This role is critical to ensuring industry-leading reliability and uptime for our cloud platform, directly impacting our ability to deliver innovative solutions to our customers. You'll be involved in exciting projects, from supporting the burn-in/stress testing of new hardware to troubleshooting complex server issues and collaborating with vendors. The ideal candidate is a highly skilled and experienced technician with a deep understanding of server hardware, a passion for problem-solving, and a commitment to maintaining peak performance in a fast-paced environment. This is a full-time position. What You'll Be Working On: Troubleshooting & Repair: Diagnose and resolve hardware failures in complex GPU-based servers (both air and liquid-cooled), ensuring minimal downtime. Hardware Testing & Qualification: Collaborate with the Infrastructure Systems team to support burn-in/stress testing of new hardware and resolve any issues that arise. Support the qualification of new hardware. Vendor Management: Open and manage support tickets with hardware vendors, serve as the datacenter liaison for vendor support personnel, and maintain a hardware issue tracker. Inventory Management: Maintain an accurate spares inventory and replenish stock as needed to ensure quick repairs. Deployment Support: Assist the Cloud Deployments team with racking and cabling servers, contributing to the efficient expansion of our infrastructure. Documentation & Communication: Maintain detailed records of hardware issues and resolutions, and communicate effectively with internal teams and vendors. Physical Demands: Work in a physically challenging environment (sound/vibration/thermal) and be able to lift 50 lbs. On-Call Support: Participate in a rotating on-call schedule to address critical after-hours hardware issues. What You'll Bring to the Team: Minimum of 5-7 years of hands-on experience in a data center, hardware support, or equivalent technical environment. Server Hardware Expertise: Possess significant experience diagnosing and repairing complex GPU-based servers (both air and liquid-cooled). Technical Proficiency: Demonstrate a deep understanding of server hardware, BMC-based manageability, BIOS settings, and firmware deployment. Datacenter Experience: Have four or more years of hands-on experience working in a datacenter environment. Networking Knowledge: Familiarity with Infiniband switches and network topology. Linux Skills: Basic Linux system administration expertise. Problem-Solving Abilities: Excellent analytical and problem-solving skills to effectively troubleshoot hardware issues. Communication Skills: Strong organizational, time management, and communication skills. Education: Associates Degree or equivalent experience in an IT-related field. Background Check: Must be able to pass a background check. Safety and Compliance: This position is designated a safety-sensitive position and/or is located in a safety-sensitive facility. Drug and alcohol program participation is required. Bonus Points: Experience with other high-performance computing (HPC) technologies. Relevant certifications (e.g., CompTIA Server+, CCNA). Experience with scripting languages (e.g., Python, Bash). Knowledge of datacenter infrastructure management (DCIM) tools. Experience working in a fast-growing startup environment. Familiarity with various cooling systems used in data centers. Experience with liquid cooling systems. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Compensation Range Compensation will be paid in the range of up to $110,000 - $135,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.