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Welcome! We're excited you're considering an opportunity with us! To apply to this position and be considered, click the Apply button located above this message and complete the application in full. Below, you'll find other important information about this position. As a Healthcare Data Scientist, you will play a crucial role in leveraging advanced analytics and data-driven insights to contribute to the improvement of healthcare outcomes and operations. Your primary responsibility will be to analyze complex healthcare data sets, develop predictive models, and derive actionable insights that support evidence-based decision-making. MINIMUM QUALIFICATIONS: EDUCATION, CERTIFICATION, AND/OR LICENSURE: Master's or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Data Science, or related fields). EXPERIENCE: Minimum of 5 years of experience in the data science field including machine learning, natural language processing, and data engineering. Strong programming skills in languages such as Python, SQL, or R. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and statistical analysis tools. PREFERRED QUALIFICATIONS: EDUCATION, CERTIFICATION, AND/OR LICENSURE: Certifications related to AI platforms or developer tools. Electronic medical record system Proficiency or Certification. EXPERIENCE: Five (5) years experience in data science, with a focus on healthcare applications. Proven track record of successfully applying data science techniques to address healthcare challenges. CORE DUTIES AND RESPONSIBILITIES: The statements described here are intended to describe the general nature of work being performed by people assigned to this position. They are not intended to be constructed as an all-inclusive list of all responsibilities and duties. Other duties may be assigned. Excellent verbal and written communication skills with the ability to collaborate effectively with both technical and non-technical partners Create and maintain statistical models with a focus on population health data, hospital operations data and big data Implement and validate predictive models using population health claims clinical data, hospital operations data and big data. Engage with senior management and other internal customers to understand business needs and provide analytical solutions. Effectively communicate findings and insights to executive and business partners and collaborate with application and software development teams to integrate them into decision-making. Use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights. Use predictive analytics, data mining, pattern recognition, data modeling, machine learning, and other statistical methods to solve large scale problems and understand the meaning behind vast data sets. Coordinates the population health data warehouse/business intelligence/strategic analytics group. Collaborate with AI engineers and business intelligence to turn insights into data products (e.g., data pipelines, algorithms, self-service dashboards). Improves business processes and supports critical business strategies by directing the development, implementation, and maintenance of clinical and business data residing in the data warehouse. Responsible for maintaining and monitoring the data systems to ensure they meet organization requirements for population health initiatives and analyses. Works cooperatively with other members of Strategic Analytics, Business Intelligence and Artificial Intelligence to ensure that the overall goals of WVU Medicine are being met. Provides consultation on complex projects and is a top-level contributor/specialist. Optimize joint development efforts through appropriate database use and project design. Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Stay informed about advancements in Artificial Intelligence, statistical methodologies, and latest technology trends to drive enhancements in internal tooling and methods Exceptional problem-solving abilities and the capacity to translate complex data into actionable insights. PHYSICAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequent walking, standing, stooping, kneeling, reaching, pushing, pulling, lifting, grasping are necessary body movements utilized in performing duties through the work shift. WORKING ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Office setting. SKILLS AND ABILITIES: Experience in developing and implementing an analytics and data science vision Extensive knowledge ML Ops practices, including version control, automated testing, and continuous integration/delivery (CI/CD) for ML projects Skilled at using programing languages such as Python, SQL and R, deep understanding of machine learning algorithms and their applications and expertise in data wrangling, preprocessing, and feature engineering Ability to present and explain complex findings at various technical and non-technical levels of the organization. Ability to research and integrate best practices for problem avoidance and continuous improvement. Additional Job Description: Scheduled Weekly Hours: 40 Shift: Exempt/Non-Exempt: United States of America (Exempt) Company: SYSTEM West Virginia University Health System Cost Center: 576 SYSTEM IT Artificial Intel Analytics

Senior Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Type of Travel: The Opportunity: CACI is seeking fully cleared, dynamic technical professionals to join our Luke program in the Bethesda, MD area. Luke is an Enterprise IT Program that supports and enables the DNI to lead resource, performance, and financial management decision-making across the IC. As a member of a future concepts team, you will work with the government customer to help shape the modernization of a legacy suite of cloud-based applications used by the Intelligence Community Chief Financial Officer to produce the annual budget. Responsibilities: Work with end users to produce data analytics use cases based on business processes Support COTS product tailoring to demonstrate how use cases can be satisfied Provide hands-on end-user COTS support and mentoring Become a subject matter expert relating to the application data architecture and database environments Gain understanding of the budget production and operational support process and the relationship to the as-is data model Gain understanding of the customer's Oracle application management, dashboard, and visualization capabilities Support Commercial Off the Shelf (COTS) product research and development efforts to evaluate data management, architecture compliance, and zero-trust security requirements Support identification of database efficiencies Leverage experience to provide support in the areas of data mapping, data extraction, transformation, and loading (ETL) Qualifications: Required: At least 5 years of experience administering on-prem/cloud-based multiuser environments with expertise in planning, designing, building, and implementing complex database systems Experience with Data Management initiatives such as data cataloging and governance Experience with data visualization and dashboard capabilities Experience gathering data-related requirements and converting them to actionable products Experience with data modeling and Entity-Relationship Diagrams (ERDs) Experience with Structured Query Language (SQL) Understanding of Data Zero Trust Architectures Familiar with open-source DBMS tools such as pgAdmin, pgModeler, or DBeaver Possess analytic problem-solving skills Knowledge of computer software applications, including database technologies and programming languages Excellent verbal and written communication skills Active TS/SCI Clearance with Poly (US Citizenship required) BA/BS Degree in a Technical field (i.e., Computer Science, Software Engineering), or equivalent experience, and a minimum of 7 years of related work experience Desired: Experience tailoring data management products to meet defined use cases Experience implementing and deploying databases in Amazon Web Services (AWS) Experience with optimizing database performance through exhaustive proactive testing and ongoing real-time monitoring Experience in SQL scripting and database functions Experience in testing database security and enterprise policy guidelines according to established best practices This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $94,400 - $198,300 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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

Title: Data Analytics Specialist- Mid Level Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. Why Join Us? Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. This position is contingent upon contract award Key Responsibilities: Identify new sources of data and methods to improve data collection, analysis, and reporting Collect customer requirements Determine technical issues Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management, including metadata, lineage, and business definitions Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products Other duties as assigned Qualifications Required: Active TS/SCI with current polygraph Have at least 5 years serving as a Data/Cloud Systems Engineer Bachelor's degree in engineering or related quantitative science field Experience using AWS tools (S3, Lambda, EC2, Cloudwatch, etc) Experience using Microsoft Azure Experience in developing intelligent algorithms capable of learning, analyzing, and predicting future events, turning those algorithms into AI models and systems, and then testing and maintaining them Ability to prepare and use large data sets for analysis as part of creating/developing robust data processing systems Generate data exploitation algorithms that can learn, assess, analyze, and organize data for testing while optimizing the Machine Learning (ML) to develop high-performance ML models Desired Qualifications: Master's degree in engineering or related quantitative science field 5 years of IC experience Experience leading teams resulting in successful verification and test strategies/solutions for complex programs Experience with cloud development processes Experience with industry system engineering practices Strong people skills to influence, collaborate and work effectively with all levels of internal and external leadership Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver- Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

This position is hybrid with preference to come in a few days a week with flexibility to come onsite monthly. Imagine yourself… Inspire and lead a global team of 3 to solve solving complex challenges and make an impact. Leverage your technical expertise to architect and execute a robust Master Data Management (MDM) strategy-laying the foundation for smarter decisions, greater efficiency, and long-term scalability. Transform raw data into strategic insight by designing intuitive dashboards and reports that uncover trends, reveal opportunities, and empower leadership to make data-driven decisions with confidence. It's all possible with a role at X-Rite Pantone, the global leaders in color science and technology. X-Rite Pantone, a Veralto company, provides complete end-to-end color management solutions for clients in every industry where color matters. At X-Rite Pantone, you'll deftly blend the art and science of color to help customers inspire, select, measure, formulate, communicate and match color so that users get color right the first time, every time. And along the way, you'll build a vibrant career through rich skill-building opportunities, on-the-job learning, and coaching and training that supports your continued development and growth. Learn more about what we do being at the forefront of color-related solutions: https://www.veralto.com/company/x-rite/ About the Role: We're looking for a Business Intelligence Manager to lead our global BI and analytics function. In this high-impact role, you'll be the driving force behind how we collect, interpret, and act on our data. You'll collaborate closely with senior leaders and cross-functional partners to design strategies, tools, and systems that fuel business growth, improve efficiency, and enhance decision-making across the organization. In this role, a typical day will look like: Lead with vision: Develop and execute a master data management strategy that ensures consistency, accuracy, and accessibility of our data assets. Drive business impact: Identify key metrics and trends, then design dashboards and reports that tell a clear, compelling story to guide decisions. Collaborate globally: Partner with senior leadership and teams across departments to define reporting needs and deliver scalable BI solutions. Innovate and optimize: Champion best practices in data collection, reporting, and governance-keeping us ahead of trends in BI technology. Grow and mentor: Lead a team of talented BI analysts, SQL developers, and reporting professionals, fostering a culture of learning and excellence. The essential requirements of the job include: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. 5+ years of experience in business intelligence and analytics, with a track record of impact. Strong hands-on experience with tools like Power BI, Splash BI, Excel Server, and expertise in Microsoft SQL (Oracle is a plus). 3+ years of experience managing global BI or analytics teams. Excellent communication and leadership skills-you know how to engage stakeholders and translate technical insights into business value. Ability to collaborate across time zones and occasionally travel for global support. Detail-oriented, organized, and proactive in problem-solving. X-Rite Pantone is proud to part of the Product Quality & Innovation segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto's vibrant global network of 16,000 associates, you join a unique culture and work environment where purpose meets possibility: where the work you do has an everyday impact on the resources and essentials we all rely on, and where you'll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we're Safeguarding the World's Most Vital Resources-and building rewarding careers along the way. US ONLY: The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate's position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The compensation range for this role is $140,000 - $150,000 USD per year. This job is also eligible for Bonus Pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. US residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Veralto Corporation and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@veralto.com to request accommodation. Unsolicited Assistance We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.

Data Entry Technician Employment Type: Full-Time, Mid-Level /p> Department: Legal As a Data Entry Technician for CGS, you will maintain the database by entering and updating customer and account information. The ideal candidate should be a savvy typist as well as excellent skills in overseeing data. The integrity of data is of utmost importance and CGS is looking for someone who is detail-oriented and is comfortable working in a fast-paced environment. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Work collaboratively with other team members and supervisors to ensure that best practices are shared. Procure data through observation, interviews, and analysis of records and other sources to include the utilization of electronic equipment. Maintain databases by entering new and updated records and related information. Verifies data and prepares materials for pdf printing. Maintain data entry requirements by following data program techniques and procedures. Purges files to eliminate duplication of data. Qualifications: Bachelor's degree in computer science or related field. 1+ year of Data Entry Experience. 3+ years of MS Office experience. Excellent typing skills. Excellent communication skills. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and delivering the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com $27,178.67 - $34,944 a year

Site: Mass General Brigham Incorporated Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary The Cancer Center Protocol Office is seeking motivated, detail-oriented individuals to join our team as a Clinical Research Data Specialist (CRDS). The Cancer Center Protocol Office is a centralized research office that supports clinical researchers in all disciplines within the Cancer Center. Our office promotes and facilitates clinical research by providing comprehensive services to physicians conducting clinical trials while ensuring compliance with all regulatory requirements. The CRDS works independently under minimal supervision to extract clinical data and research data from electronic medical records and other sources and enter into electronic data capture system utilized for the clinical research protocol. The CRDS will be responsible for entering data for multiple oncology clinical trials. This position is fully remote. Qualifications PRINCIPAL DUTIES AND RESPONSIBILITIES: The CRDS will perform the following responsibilities independently under minimal supervision by the Clinical Research Manager: Obtain and abstract complex clinical information from multiple sources (medical records, research records, etc.) for research subjects. Record information into various study-specific data-capture systems (both electronic and paper-based). Resolve and answer data queries with minimal errors. Perform standard data management quality control steps. Maintain awareness of details of clinical data to identify missing or inaccurate data; and track data inconsistencies for Clinical Research team to review and report accordingly Work professionally with sponsor representatives to review and correct data recorded in the case report forms. Exercise independent judgment on query resolutions. Additional Job Details (if applicable) SKILLS/ABILITIES/COMPETENCIES REQUIRED: Excellent oral and written communication skills required Excellent organizational skills required Knowledge of medical terminology preferred Excellent attention to detail required LICENSES, CERTIFICATIONS, and/or REGISTRATIONS: None EDUCATION: Bachelor's degree required EXPERIENCE: No experience needed for a CRDS I. 1-2 years of previous data entry experience as a clinical research coordinator, clinical research assistant or data entry specialist for therapeutic clinical trials to be considered for a CRDS II. SUPERVISORY RESPONSIBILITY: None FISCAL RESPONSIBILITY: None WORKING CONDITIONS: Duties will be performed remotely with appropriate telework agreement established Remote Type Remote Work Location 101 Merrimac Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) EEO Statement: Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. DATA COLLECTION SPECIALIST - Level II Performs information gathering for data analytics, including asset tagging and data collection. Experience with performing data collection on building systems (HVAC, refrigeration, point of sale). Preferable but not essential to have additional experience with IoT devices. ESSENTIAL DUTIES AND RESPONSIBILITIES Conducts walk-through surveys to assess condition of Property development. Must safely access roofs when part of work scope. Takes photographs of representative systems and conditions. Performs other duties as assigned. Logging information into a client database. Must adhere to client site visit protocols. Travel is required potentially up to 100% of the time, for periods of time. Must be able to problem solve and use critical thinking skills to help solution through basic to moderate-level complexity of projects. SUPERVISORY RESPONSIBILITIES No direct supervisory responsibilities. QUALIFICATIONS, EDUCATION and EXPERIENCE High school diploma required. Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a plus. Candidate must have strong time management and problem-solving skills, with the ability to meet scheduled deadlines. Must be proficient with using an iPad/iPhone and iOS systems. CERTIFICATES and/or LICENSES Driver's License OSHA 10-Hour Safety Course COMMUNICATION SKILLS Ability to comprehend, analyze and interpret issues related to property conditions and communicate with team members and potential clients on a collaborative basis. Excellent written and verbal communication, interpersonal, consultative, and exceptional customer service skills. Ability to maintain confidentiality while eliciting relevant information from contacts. Ability to effectively respond to sensitive issues, complex inquiries or complaints from clients, co-workers, supervisor and/or management. REASONING ABILITY Ability to solve problems and deal with a variety of options in complex situations. Requires analytical and quantitative skills with proven experience in developing strategic solutions. OTHER SKILLS and ABILITIES Competency with an ability to adapt to various programs, apps and web platforms for data gathering word processing, spreadsheet functions, communications, project tracking, etc. Excellent time management and organizational skills. Must be self-motivated and team oriented. The position requires simultaneously managing deliverables for multiple ongoing assignments. Estimated total compensation for this position: 45,000.00 - 75,000.00 USD per year The total compensation range is an estimate and not guaranteed. An employment offer is based on an applicant's education, experience, skills, abilities, geographic location, internal equity and alignment with market data . Location: Remote -Boston, MA, Chicago, IL, Idaho Falls, ID, Kansas City, KS, Kansas City, MO, Milwaukee, WI, New York, NY, Omaha, NE, Phoenix, AZ, Salt Lake City, UT, Santa Fe, NM, Virginia Beach, VA If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may contact us at Accommodation Requests. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

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. 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 make your mark as a Data Lead at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 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 the Data Lead, you will be at the forefront of our data strategy, responsible for overseeing the collection, management, and analysis of data across MMA. In this role, you will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. You will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Your leadership will be crucial in guiding your team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering your team, you will foster a culture of data-driven decision-making and continuous improvement. Staying abreast of emerging technologies and industry trends, you will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Our future colleague. We'd love to meet you if your professional track record includes these skills: Leadership Experience: Proven experience leading data management and analytics teams, with a focus on delivering high-quality insights and solutions that drive business impact. Enterprise Data Understanding: High-level understanding of enterprise data needs, along with a general knowledge of data architecture to facilitate collaboration with IT. Data Governance Expertise: Strong knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and data integrity. Analytical Tools Proficiency: Experience with data analytics tools and programming languages (e.g., SQL, Python, R), as well as familiarity with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Stakeholder Collaboration: Ability to collaborate with both technical and non-technical stakeholders, effectively communicating complex data concepts and analytical findings in a clear and actionable manner. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Problem-Solving Skills: Strong problem-solving skills, with a proven track record of identifying and resolving complex data challenges to enhance operational efficiency. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. Continuous Improvement Mindset: A commitment to fostering a culture of continuous improvement and data-driven decision-making within the organization, encouraging team members to innovate and refine processes. These additional qualifications are a plus, but not required to apply: Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field; Master's degree preferred. 15+ years of experience in data management, analytics, or a related field, with a focus on leadership roles. 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 of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful 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 our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn 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. The applicable base salary range for this role is $119,500 to $209,200. 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: June 16, 2025

Signifyd helps businesses of all sizes minimize their fraud exposure and grow their sales. Signifyd improves the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals. The Data Science organization at Signifyd is responsible for building, maintaining, and monitoring production ML models and risk management tools that are the core of Signifyd's product. The Staff Data Scientist will be part of the Core ML team within the Data Science organization. The team owns the core fraud detection model that decides the majority of the traffic, as well as our model training and evaluation infrastructure. We work closely with the ML and Data Platform teams. The team contributes to: novel modeling methods, advanced feature engineering, and robust statistical practices for offline and online evaluation. Our culture: we value tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters who are looking to exploit any gap that we may leave uncovered. We seek equally motivated - if not more motivated - individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward. We empower team members to influence our direction and actively enhance the e-commerce shopping experience. The Role Signifyd is looking to add a few Staff Data Scientists to our team. As a Staff Data Scientist, you'll play a pivotal role in shaping the future of our machine learning capabilities. You won't just build models-you'll influence strategy, mentor teams, and drive measurable improvements in our fraud detection systems. You'll be responsible for solving critical challenges in model performance measurement, accelerating experimentation, and pioneering new ML technologies to stay ahead of evolving fraud tactics. What You'll Do Expand ML Capabilities- Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability. Drive Experimentation at Scale- Develop and implement robust experimentation frameworks to increase velocity while maintaining scientific rigor, enabling rapid iteration and deployment of fraud detection models. Architect & Optimize ML Pipelines- Design and build scalable, end-to-end ML pipelines that support both offline and online measurement of model performance, ensuring our models deliver real-world impact. Build Influence Across Teams- Collaborate closely with engineering, product, and risk teams to align ML architecture and experimentation with business goals, driving measurable outcomes. Lead & Mentor- Lead solving the technical concerns for the entire organization and elevate the technical bar by mentoring data scientists and engineers, sharing best practices, and fostering a culture of innovation and excellence in ML practices. What We're Looking For A degree in computer science or a comparable analytical field 7+ years of post-undergrad work experience with production-grade ML Deep ML expertise with a solid foundation in machine learning, experimentation, and model evaluation techniques. Proven experience leading technical initiatives and influencing decision-making across teams. Strong communication skills- You are great at breaking down complex ML and DS topics to non-technical audiences. You are also great at using visualization to communicate analytical results. Strong product & business mindset with a passion for applying data science to solve real-world problems with measurable outcomes. Proficiency in Python, SQL, and key ML libraries. Bonus points if you have: Previous work in fraud, payments, or e-commerce Passion for writing well-tested production-grade code A Master's Degree or PhD Why Join Us? Make an Impact- Your work will directly shape the future of fraud prevention, protecting billions of payments. Lead & Grow- Drive high-visibility initiatives and develop leadership skills in a fast-paced, high-growth environment. Innovate at Scale- Work with cutting-edge ML technologies and experiment freely to push the boundaries of what's possible. Collaborative Culture- Join a team that values curiosity, ownership, and continuous learning. #LI-Remote Benefits in our US offices: Discretionary Time Off Policy (Unlimited!) 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) On-Demand Therapy for all employees & their dependents Dedicated learning budget through Learnerbly Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant's specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. USA Base Salary Pay Range $180,000-$205,000 USD Signifyd's Applicant Privacy Notice

Within Verisign, our team is responsible for designing, building and maintaining large-scale, high-throughput (millions requests per second) data products and services delivering actionable operational and business intelligence. To help us advance our products, we are looking for a skilled Mid-level Data Engineer. An ideal candidate should have a strong passion for all aspects of data engineering (ingestion, storage, processing, visualization), be fluent in Java, and be eager to learn as needed. They should have an understanding of fundamentals, including core Computer Science concepts accompanied by hands-on data engineering experience, ideally involving large-scale distributed systems. The candidate will be involved in all aspects of data engineering, including ideation, design, implementation, deployment, customer onboarding, and support. This implies regular cross-team collaboration with Verisign Data Platform, Business, Infrastructure, Engineering, Security, and Operation Teams. We expect the candidate to take full ownership of the data products, regularly interacting with the internal customers, proactively identifying, prioritizing, and delivering on their common data needs. Required Experience: Bachelor's Degree in Computer Science or similar technical major or equivalent work experience 5+ years relevant Data Engineering experience Experience designing, developing, and optimizing real-time and batch data processing pipelines using Akka Streams and Spark Experience developing and maintaining custom Java, Scala and Python components to facilitate insights from the processed data via transformation, normalization, and enrichment Experience creating interactive dashboards for internal customers delivering insights from real-time and batch-processed data stored in Druid, Hive and other databases Preferred Experience: Experience developing provisioning code to deploy components on Kubernetes Experience developing automation for CI/CD and common tasks using Jenkins Ability to ensure stability of pipelines and components through observability and alerting Ability to identify and address pipeline performance bottlenecks Ability to troubleshoot complex data processing issues in large, distributed environments Staying up to date with the data engineering best practices and industry standards, focusing on hybrid cloud environments Supporting data product customers We expect the candidate to possess competencies that allow them to bring noticeable improvements in some of the above-mentioned areas and allow Verisign to continuously improve the delivery of business and operational insights. We see this role as a unique opportunity to directly contribute toward ensuring stability of the Internet. This position is based in our Reston, VA office The pay range is $108,900 - $147,300. The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days. WeRide.ai Silicon Valley team is looking for an experienced and innovative data scientist for its growing metrics team to support the development and validation of both L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems. The level depends on the candidate's experience and qualification. The metrics team is at the forefront of accelerating the development and deployment of cutting-edge ADAS/AV technologies. As a Senior Data Scientist on this team, you will play a pivotal role in ensuring the safety, reliability, and efficiency of our autonomous systems. You will be responsible for developing and implementing rigorous evaluation frameworks and advanced statistical methodologies to assess overall system performance, as well as the performance of critical sub-systems across software releases, and different territories. Your work will directly inform crucial engineering decisions, guide iterative improvements, and contribute to the successful commercialization of our ADAS/AV stack. What You Will Do: Develop Rigorous Evaluation Frameworks: Design, develop, and implement advanced statistical frameworks for the comprehensive evaluation of ADAS/AV system performance, with a strong emphasis on safety, compliance, and progress metrics. Define and Monitor System Performance: Define, measure, and monitor key performance indicators (KPIs) for the overall ADAS/AV system. Develop automated data pipelines and reporting mechanisms to track these metrics across software releases. Evaluate Sub-system Performance: Define and implement metrics to evaluate the performance of individual sub-systems. Utilize these metrics to provide actionable insights that guide and accelerate sub-system development and improvement. Statistical Analysis and Experimentation: Apply advanced statistical techniques, including hypothesis testing, experimental design, and causal inference, to analyze complex behavioral data and derive robust insights into system performance and regressions between releases. Partner with Engineering Teams: Collaborate closely with Simulation, Systems Engineering, Product, and Software Development teams to integrate evaluation insights into the development lifecycle, inform release readiness, and ensure alignment on performance targets. Technical Leadership and Mentorship: Provide technical leadership on complex data science problems, champion best practices in data analysis and statistical rigor, and mentor junior data scientists within the team. Data Visualization and Communication: Create compelling data visualizations and communicate complex analytical findings clearly and concisely to diverse audiences, ranging from technical engineers to senior leadership. Requirements: Quantitative Degree: Master's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. Extensive Industry Experience: 3+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models. Advanced Statistical Expertise: Deep expertise in advanced statistical methods and their application in real-world settings, including experimental design, hypothesis testing, regression analysis, causal inference and time series analysis, etc. Technical Problem Formulation: Proven ability to translate ambiguous real-world challenges into clearly defined data science problems, identify appropriate methodologies, and deliver effective solutions. Data Manipulation and Analysis: Proficiency in using programming languages (e.g., Python, R) and SQL for data extraction, manipulation, and analysis. Communication: Excellent verbal and written communication skills, with the ability to tailor technical explanations to various stakeholders. Flexibility: Ability to collaborate effectively with teams in different time zones. Preferred Qualifications: PhD degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field. 5+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models. Experience with large-scale evaluation frameworks for complex software systems, particularly in autonomous driving or robotics. Familiarity with ADAS/AV system architectures and the behavioral challenges inherent in autonomous driving. Knowledge of simulation platforms and their role in data generation and system evaluation. Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. WeRide.ai offers competitive salary depending on the experience. Employee benefits include: Premium Medical, Dental and Vision Plan (No cost from employees or their families) Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays 401K plan

Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. Daymark’s comprehensive, personalized cancer care platform empowers patients with dedicated care navigation, symptom-focused support, behavioral health care, and social resources. Combined with evidence-based health interventions and a hybrid in-person + virtual care model, Daymark is improving the overall cancer experience for patients, providers, and health plans – and setting a new standard in cancer care. Daymark’s groundbreaking approach is led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care, alongside some of the nation’s foremost leaders in oncology and value-based care. Daymark emerged from Healthcare Foundry, a platform dedicated to creating purpose-built, technology-enabled healthcare organizations. Daymark Health is backed by Maverick Ventures. ABOUT THE ROLE At Daymark Health , we are transforming how data drives decision-making in healthcare. We are seeking a VP of Data and Analytics to be the first in this role and play a critical part in shaping the foundation of our data operations. You will stand up our Minimum Viable Product (MVP) for all data practices, setting up infrastructure, processes, and analytics capabilities that will enable us to collaborate effectively with providers and partners, unlock insights from diverse data sources, and make informed, impactful decisions. As the first Data and Analytics Lead at Daymark Health, you will: Build and operationalize foundational data workflows, including ingestion, transformation, and sharing of data with partners and providers. Design and implement the infrastructure required to support Daymark’s data practices, selecting and deploying tools and platforms such as Snowflake and AWS. Analyze claims data, real-time activity data, and provider EMR (Electronic Medical Records) data to generate actionable insights for our partners and stakeholders. Establish scalable and reliable data pipelines, ensuring data accuracy and integrity across systems. Collaborate across teams to identify and address immediate and long-term data needs while contributing to Daymark's mission of improving healthcare outcomes. WHAT YOU’LL DO After Three Months, You Will: Define and lead Daymark’s data strategy, laying the foundation for how data is ingested, transformed, governed, and used to drive clinical and operational outcomes. Architect and oversee the deployment of scalable infrastructure and tooling (e.g. Snowflake, dbt, AWS) to support analytics, reporting, and real-time data exchange with providers and partners. Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights that inform care delivery and payer collaboration. Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance across the organization. Partner cross-functionally with Product, Engineering, Clinical, and external teams to prioritize data initiatives that advance Daymark’s mission and scale our value-based care model. After Six Months, You Will: Fully operationalize Daymark's data workflows, ensuring seamless integration with partners and internal teams. Develop and maintain real-time analytics capabilities to monitor key metrics and inform strategic decisions. Collaborate with engineering and other teams to integrate analytics into production systems. Provide ongoing insights from partner and provider data that directly impact patient outcomes and business success. Define and implement key performance indicators (KPIs) that measure the quality and effectiveness of Daymark’s data solutions. WHAT WE ARE LOOKING FOR Experience: You bring 10+ years of experience across data strategy, engineering, analytics, or data science, with a strong technical foundation and track record of building scalable data systems in cloud environments. You’ve led teams and implemented modern data stacks including Snowflake, AWS, dbt, and other best-in-class tools. Leadership: You’ve led high-impact data initiatives, managed cross-functional projects, and built technical teams or functions from the ground up. You are comfortable making architectural decisions, driving execution, and aligning stakeholders around data priorities that support business and clinical goals. Healthcare data expertise: You have a deep understanding of healthcare data—particularly claims, EMR, and patient-generated health data—and how to translate it into insights that drive care delivery, cost reduction, and payer-provider alignment. You’ve worked with actuarial teams or value-based care leaders to model risk, evaluate performance, and inform contract design or shared savings arrangements. Strategic problem-solver: You thrive in ambiguity and are energized by building clarity from complexity. You combine hands-on technical ability with a systems-thinking mindset to design solutions that scale. Collaborative operator: You’re a strong communicator and cross-functional partner who can navigate between technical teams, clinical leaders, and external stakeholders to drive results. Curiosity and innovation: You constantly seek better ways to unlock the value of data. You stay current with emerging tools and methodologies and bring a creative, experimental approach to solving problems. Mission-first: You are driven by a desire to improve the healthcare system and deeply aligned with Daymark’s mission to transform cancer care for patients, families, and providers. Compensation will vary based on the candidate's experience and ability: $175,000-$210.000

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 We're passionate about our products because our customers rely on them to run their businesses. Better together! This position is on-site, and we are looking for people who share our passion. Position Responsibilities Analyze current manual processes for improvement opportunities. Define problem scope and think critically about potential solutions. Develop process-improvement solutions that make use of Excel / VBA to automate procedures. Minimum Requirements Bachelor's degree in finance or accounting. Strong analytical skills with attention to detail and accuracy. Adept at creating queries, writing reports and presenting findings. Strong SQL skills a must. VBA (or similar) programming knowledge required. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America’s leading distributor of shipping, industrial, and packaging materials with over 9,000 employees across 13 locations. Uline is a drug-free workplace . EEO/AA Employer/Vet/Disabled #LI-MT1 #CORP (#IN-PPFINHRLY) Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Description Position at Liquid Web Are you a skilled Data Center Technician ready for your next challenge? Servers.com, a global leader in high-performance cloud infrastructure, is expanding, and we're looking for tech-savvy professionals like you to join our team. If you're passionate about working with cutting-edge technologies, ensuring the highest level of service uptime, and thrive in fast-paced environments, this is your opportunity to grow with us. At Servers.com, you'll work alongside a dynamic team, tackle exciting projects, and be at the heart of our infrastructure operations. We're committed to innovation, and your expertise in hardware, networking, and troubleshooting will help us continue to deliver excellence to our global clients. Apply today and be a part of the future of cloud computing with Servers.com! This is a permanent, full-time, on-site (Dallas, TX) position paying $22 - $26.44 per hour. Responsibilities: Decommissioning hardware Destruction of data on reclaimed devices Track inventory and maintain accurate recordkeeping Test and troubleshoot hardware Perform audits of datacenter infrastructure Monitor incoming tickets, chats, and alerts. Provide initial hands-on response Check IP status on RBLs and process as needed Assembly, troubleshooting, and configuration of servers, firewalls, switches, etc. Installing various operating systems and applying base configurations Communicating with customers via telephone, chat, and email to provide exceptional support Perform hardware firmware upgrades, and learn new hardware platforms Rack servers, install cabling, and assist with other infrastructure needs Deploy complex, highly available infrastructure and services Assist with additional duties as instructed by leadership/senior techs on the team Skills, Competencies, and Qualifications: 1+ years relevant experience Solid working knowledge of computer hardware Excellent written and verbal communication skills Exemplary organizational skills and attention to detail Excellent diagnostic skills Proven customer service acumen Solid working knowledge of various Linux distributions Experience installing, maintaining, and troubleshooting the LAMP stack Basic experience with Windows Server Basic networking knowledge Understanding of different RAID configurations Ability to setup and configure various operating systems Ability to appropriately set up and decommission hardware within the constraints of the data center We Offer: 100% Employer paid Benefits options - Medical, Dental, Vision, Prescription Traditional and Roth 401k with company matching Fun employer-sponsored events A collaborative team culture Consistent/set work hours Challenging non-redundant daily duties A voice in how things get done Access to ongoing training Disclaimer: This job description is only a summary of the typical functions of the position. It is not intended to be an exhaustive or comprehensive list of all job responsibilities, tasks, or duties. Additional duties and tasks may be assigned as part of the job function. Liquid Web Inc. reserves the right to modify, interpret, or apply this job description in a way that best supports the organizational needs. The job description in no way creates or implies an employment contract. The employment contract remains “at will”. Equal Employment Opportunity Policy: Liquid Web is committed to offering equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. #LI-Onsite

Role Description Trimble's AECO (Architecture, Engineering, Construction & Owner) division is seeking a Senior Director to lead the strategy and delivery of our data ecosystem. This critical leadership role is responsible for driving the execution of the data strategy to enhance customer experience, improve operational efficiency, and enable new business opportunities across the AECO segment. The successful candidate will have extensive experience in building and managing complex software ecosystems with disparate data sources, APIs, and business processes. This role reports to the Vice President, Platform in AECO. Responsibilities Data Ecosystem Strategy & Vision: Develop and drive the overall data ecosystem strategy for AECO, encompassing the Trimble Developers unified API program, App Xchange, telemetry and usage data, and data governance and management. Data Governance & Management: Direct the implementation of data governance and management practices across AECO, ensuring data availability, cataloging, quality, standards, policy, and compliance are consistently and uniformly implemented and followed in support of strategic objectives. Agentic Platform Enablement: Ensure data is readily available and aligned with the direction and needs of Trimble’s agentic AI platform. Data Accessibility and API Maturation: Oversee the strategy and execution of the Trimble Developers unified API program, driving adoption, standardization, and developer engagement. App Xchange Strategy & Growth: Define the strategy and drive the alignment of App Xchange within the broader data and API context, fostering a thriving ecosystem of connectors and integrations . Telemetry & Usage: Establish and implement strategies for collecting, analyzing, and leveraging telemetry and usage data to improve product development, customer engagement, GTM, and business decision-making. Team Leadership: Manage and mentor a team of product managers, data governance professionals, data analysts, and product operations specialists. Cross-Functional Collaboration: Collaborate with AECO business units, product teams, engineering, sales, marketing, and other stakeholders to align data ecosystem initiatives with business objectives. Stakeholder Communication: Communicate the data ecosystem strategy and progress to senior leadership and key stakeholders. Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field; advanced degree preferred. 10+ years of experience in product management, data management, or a related role within a SaaS company. Strong business acumen with a proven ability to tie technical work to business priorities and outcomes. Proven track record of successfully building and managing complex software ecosystems with disparate data sources, APIs, and data management challenges. Extensive experience with implementation of data governance and data management principles, practices, and technologies. Strong understanding of API design, development, and management. Experience with marketplace platforms and developer ecosystems. Excellent leadership, communication, and interpersonal skills, with the ability to influence and drive change across a complex organization. Strong analytical and problem-solving skills, with a strategic mindset. Experience managing and developing high-performing teams. Experience with cloud-based data solutions in Trimble’s technology tech stack (e.g., AWS, Azure, Snowflake, Databricks, Gainsight). Preferred Qualifications Deep understanding of the AECO industry's data landscape and workflows. Skills Data Ecosystem Strategy API Management Marketplace Strategy Telemetry & Usage Analysis Data Governance & Management Product Leadership Team Management Stakeholder Communication Analytical and Problem-Solving Strategic Thinking - Pay Equity - Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, or federal law. - Hiring Range: 201294 - 271890 - Bonus Eligible? Yes - Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. - Trimble is proud to be an equal opportunity employer. We welcome and embrace our candidates' diversity and take affirmative action to employ and advance individuals without regard to race, color, sex, gender identity or expression, sexual orientation, religion, age, physical or mental disability, veteran status, pregnancy (including childbirth or related medical conditions), national origin, marital status, genetic information, and all other legally protected characteristics. We forbid discrimination and harassment in the workplace based on any protected status or characteristic. A criminal history is not an automatic bar to employment with the Company, and we consider qualified applicants consistent with applicable federal, state, and local law. The Company is also committed to providing reasonable accommodations for individuals with disabilities, and individuals with sincerely held religious beliefs in our job application procedures. If you need assistance or an accommodation for your job, contact AskPX@px.trimble.com

Deluxe is a trusted, technology-enabled solutions provider for enterprises, small businesses and financial institutions offering a range of solutions to help customers manage and grow their businesses. Approximately 4.8 million small business customers access Deluxe's wide range of products and services, including incorporation services, logo design, website development and hosting, email marketing, social media, search engine optimization, and payroll services along with customized checks and forms. For our approximately 4,600 financial institution customers, Deluxe offers industry-leading programs in data analytics, customer acquisition and treasury management solutions, fraud prevention and profitability solutions, as well as checks. Deluxe is also a leading provider of checks and accessories sold directly to consumers. We are seeking a skilled AWS Data Engineering Architect to join our dynamic team. The ideal candidate will have extensive experience in designing, implementing, and managing data engineering solutions on the AWS platform. The primary responsibility of this role is to architect scalable, reliable, and high-performance data pipelines and analytics systems leveraging AWS services. Responsibilities: Design, architect, and implement end-to-end data engineering solutions on the AWS platform. Develop scalable and efficient data pipelines to ingest, process, and analyze large volumes of data from various sources. Collaborate with cross-functional teams including data scientists, business analysts, and software engineers to understand data requirements and design appropriate solutions. Implement best practices for data governance, security, and compliance in alignment with industry standards and regulations. Optimize data storage, processing, and retrieval mechanisms for performance and cost-efficiency. Automate deployment, monitoring, and maintenance tasks using AWS services such as AWS Glue, AWS Lambda, Amazon EMR, etc. Conduct performance tuning and optimization of data processing workflows to ensure high availability and reliability. Stay up-to-date with the latest AWS technologies and trends in data engineering and analytics. Skills: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven experience as a Data Engineer, Data Architect, or similar role with a focus on AWS technologies. In-depth knowledge of AWS services such as S3, Glue, EMR, Redshift, Athena, Kinesis, etc. Strong programming skills in languages such as Python, Scala, or Java. Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop, etc. Experience with SQL and NoSQL databases for data storage and retrieval. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes is a plus. Excellent problem-solving and communication skills with the ability to work effectively in a fast-paced environment. Basic Qualifications (BQs) Education and Experience : Bachelor’s degree and 5 years of related experience or high school diploma/GED and 9 years of related experience Preferred Qualifications (PQs) Education and Experience : Bachelor’s degree and 12 years of related experience AWS Certified Solutions Architect or AWS Certified Big Data Specialty certification is highly desirable. Experience with DevOps practices and tools for continuous integration and deployment. Knowledge of machine learning and data science concepts is a plus. Benefits In line with our commitment to employee wellbeing, our total rewards benefits package is designed to support the physical, financial, and emotional health of our employees, tailored to meet their unique and evolving needs. Our approach considers our employees’ whole selves, ensuring they can thrive both in and outside of work. Here are some of the benefits we offer, which may vary based on role, location, or hours worked: Healthcare (Medical, Dental, Vision) Paid Time Off, Volunteer Time Off, and Holidays Employer-Matched Retirement Plan Employee Stock Purchase Plan Short-Term and Long-Term Disability Infertility Treatment, Adoption and Surrogacy Assistance Tuition Reimbursement These benefits are designed to enhance the health, protect the financial security, and provide peace of mind to our employees and their families. Deluxe Corporation is an Equal Employment Opportunity employer: All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, disability, sex, age, ethnic or national origin, marital status, sexual orientation, gender identity or presentation, pregnancy, genetics, veteran status or any other status protected by state or federal law. Please view the electronic EEO is the Law Poster which serves to inform you of your equal employment opportunity protections as part of the application process. Reasonable Accommodation for Job Seekers with a Disability: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to deluxecareers@deluxe.com . Employee Type: Permanent Time Type: Full time

The Rock Family of Companies is made up of nearly 100 separate businesses spanning fintech, sports, entertainment, real estate, startups and more. We’re united by our culture – a drive to find a better way that fuels our commitment to our clients, our community and our team members. We believe in and build inclusive workplaces, where every voice is heard and diverse perspectives are welcomed. Working for a company in the Family is about more than just a job – it’s about having the opportunity to become the best version of yourself. As a Data Scientist, you'll leverage your expertise in data analysis, machine learning, statistical modeling, and generative AI to develop and implement frameworks as part of the company’s responsible AI function. You’ll collaborate closely with model developers and other partners to ensure our AI-driven solutions comply with regulatory requirements and best practices in responsible AI. About the role Design and implement metrics and testing methodologies to evaluate AI systems for responsible AI considerations Research and implement state-of-the-art techniques in responsible AI Perform disparate impact analysis on existing and new machine learning models Audit existing and new machine learning models for model performance, impact and reliability Develop tools for model developers to standardize model development lifecycle Write new functions or applications to conduct analyses Create and maintain documentation for model governance and regulatory compliance Collaborate with business stakeholders to translate governance requirements into technical specifications Contribute to the development of company-wide responsible AI guidelines and best practices Mentor team members on responsible AI practices and methodologies Apply sampling techniques to create representative datasets for model evaluation Compare models using statistical performance metrics, such as loss functions or proportion of explained variance Create graphs, charts or other visualizations to convey the results of data analysis Deliver oral or written presentations of the results of model evaluation and data analysis to stakeholders Communicate analyses, conclusions and solutions clearly to all audiences Develop and evangelize best practices for model development, evaluation and maintenance Drive the collection of new data and the refinement of existing data sources related to Responsible AI practices Mentor and train associate data scientists About you 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP 3 years of experience with statistical and data mining tools and methods 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs) 3 years of experience working with SQL 3 years of experience working in a UNIX environment 3 years of experience in at least one scripting language (e.g., BASH) 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.) 3 years of experience with statistical packages 3 years of experience providing predictive and prescriptive analytics in a business setting Experience with model explainability techniques Master’s degree in mathematics, statistics, computer science or a related field or equivalent experience Advanced understanding of data visualization libraries Advanced understanding of statistical methodologies for modeling and business analytics What you’ll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks . About us Rocket Mortgage® was founded in 1985. Today, we’re a Detroit-based, publicly traded company with a mission to Help Everyone Home. At Rocket Mortgage, we believe that home is more than the house you live in. Our wide variety of home loan options, tools and resources empower our clients to achieve their homeownership dreams. We’re known as experts in the mortgage industry, but we’re also innovators – we strive to create the best experiences for our clients from beginning to end. And we’re not your typical employer. We’re insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, The Pulse, at Careers@myrocketcareer.com . The Company is an Equal Employment Opportunity employer, and does not discriminate in any hiring or employment practices. The Company provides reasonable accommodations to qualified individuals with disabilities in accordance with state and federal law. Applicants requiring reasonable accommodation in completing the application and/or participating in the employment application process should notify a representative of the Human Resources Team, The Pulse, at Careers@myrocketcareer.com.

Acrisure Innovation Austin, TX (Onsite 4 days per week) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. Why Choose Acrisure? Acrisure Innovation is where human expertise meets advanced technology. Acrisure Innovation is a fast paced, AI-driven team building innovative software to disrupt the $6T+ insurance industry. Our mission is to help the world share its risk more intelligently to power a more vibrant economy. To do this, we are transforming insurance distribution and underwriting into a science. At the core of our operating model is our technology: we’re building a digital marketplace for risk and applying it at the center of Acrisure, a privately held company recognized as one of the world's top 10 insurance brokerages and the fastest growing insurance brokerage globally. By leveraging technology to push the boundaries of understanding and transferring risk, we are systematically converting data into predictions, insights, and choices, and we believe we can remove the constraints associated with scale, scope, and learning that have existed in the insurance industry for centuries. Our culture is strong. We are a collaborative company of entrepreneurial, innovative, and talented people who believe in our future. We outthink and out work the competition. We look outside our walls and are energized by our fast-paced trajectory. Our vision for the future is clear. We have limitless potential to achieve unprecedented success in the insurance industry. To achieve our opportunity, a best-in-class Team must support us. Learn more about Acrisure Innovation: https://builtin.com/company/acrisure-innovation Position Overview: The Innovation team’s mission is to unify data across the enterprise to optimize business decisions made at the strategic, tactical, and operational levels of the organization. We accomplish this by building a data lakehouse that powers analytics and reporting platforms, and business processes that provide quality data, in a timely fashion, from any channel of the company and present them in such a manner as to maximize the value of that data for both internal and external customers. The Senior Data Engineer is responsible for designing and developing complex ELT processes required to populate our data lakehouse which supplies data for the Product, AI & Data Intelligence teams. Responsibility includes hands-on contributions in data engineering and data architecture working with a team of full time and contracted developers as well as coaching and mentoring junior and mid-level developers. Ensuring high quality and best practices are maintained through the development cycle is key to this position. Responsibilities: Leverage established guidelines and custom designs to create complex ELT processes to meet the needs of the business. Onboard and curate data sources including data preparation/ELT and modeling to enable data consumption by analytics and AI teams Act as a Solution Architect and Technology Leader – ability to make decisions in the face of ambiguity and solve difficult technical problems. Lead discovery, requirements, level of effort estimation and project planning for strategic company initiatives. Independently determine methods and procedures for new or existing requirements and functionality. Onboard, Lead, and Mentor junior and mid-level developers. Work closely with Data Source contacts, Analysts, Product and Data Intelligence teams to identify opportunities and assess improvements of our products and services. Contribute to workshops with the business user community to further their knowledge and use of the data ecosystem. Produce and maintain accurate project documentation, project planning and presentations. Collaborate with various data providers to resolve dashboard, reporting and data related issues. Perform Data benchmarking, enhancements, optimizations, and platform analytics. Participate in the research, development, and adoption of trends in technology, data and analytics Qualifications & Requirements: Bachelor's degree preferred or equivalent experience along with a demonstrated desire for continuing education and improvement. Experience: Minimum 8-10 years in Data Engineering, preferably with expertise in an Azure environment with Data Bricks, Azure Data Factory, Azure Data Lake. Minimum 8-10 years architecting and designing data warehouses, data modeling, and end-to-end ELT processes Successfully delivered 5+ end to end projects – from Inception to Execution - in Data Engineering / Data Science / Data Integration as a Tech Lead/Principal Strong hands-on experience with Data Lake & Delta Lake Concepts. Strong hands-on experience with Databricks Unity Catalog and usage in dealing with Delta tables. Ability to Analyze, summarize, and characterize large or small data sets with varying degrees of fidelity or quality, and identify and explain any insights or patterns within them. Experience with multi-source data warehouses Experience with other cloud environments (GCP) a definite plus. Experience in data analytics and reporting, particularly with Power BI a plus Hands on experience building logical data models and physical data models Write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results. Create and share standards, best practices, documentation and reference examples for data warehouse, integration/ELT systems, and end user reporting Apply disciplined approach to testing software and data, identifying data anomalies, and correcting both data errors and their root causes Should be well versed with Key Vault \ create & maintenance and usage of secrets in both Databricks & ADF Should be knowledgeable in Stored procedures \ functions and be able to use them by ADF & Databricks as this is a widely used Practice in Acrisure. Should be familiar with DevOps process for Azure artifacts and database artifacts. Should be well versed with ADF concepts like chaining pipelines, passing parameters, using APIs for ADF & Databricks to perform various activities. Should be well versed with Agile and Scrum principles and procedures, and working with Jira Additional Qualifications: Excellent organizational skills with the ability to prioritize, communicate and execute tasks across multiple projects with tight deadlines and aggressive goals. Expert working knowledge of SQL, Python and Spark, and demonstrated ability to create ad-hoc SQL queries to analyze data, create prototypes, etc. Ability to understand complex issues and clearly articulate complex ideas. Demonstrated ability to champion change, influence, and drive results in a complex organization. Ability to mentor junior developers and contribute to the growth of the team. Excellent verbal and written communication skills. Experience working in a Multi-Cloud Environment a Plus Experience working with dbt a Plus Knowledge of the Insurance Industry or FinTech a Plus Acrisure is equally committed to supporting social issues. In its home of Grand Rapids, Acrisure provided $15 million to create the Acrisure Center for Innovation in Children’s Health at Helen DeVos Children’s Hospital. Acrisure is committed to employing a diverse workforce. All applicants will be considered for employment without attention to race, color, religion, age, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are interested in every qualified candidate who is eligible to work in the United States. We are not able to sponsor visas for this position. To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure’s property, and Acrisure will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting Acrisure’s Human Resources Talent Department. https://www.acrisure.com/acrisureacastaffprivacynotice/ #BI-Hybrid #LI-Hybrid