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Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. We are looking for Senior Data Analyst who will be responsible for ongoing monitoring and surfacing of new threats in the digital advertising ecosystem. This role and team will have extensive interaction with large data sets (we monitor hundreds of thousands of transactions per second and collect tens of billions of events each day) What you'll get to do: Analyze and investigate impression level data in order to conceptualize stories, and write research reports, articles, blogs and bulletins Partner with Marketing to drive publication and distribution of noteworthy stories coming from internal investigations Apply business insight to research for C-Level thought leadership stories that define high level trends by industry, vertical or geographic area Stay on top of emerging threats that could be first to market blogs Assist product management, data science, and development in product/solution planning and prioritization You should apply if you have most of this: Bachelor's or Master's Degree in data science, computer science, computer engineering, digital forensics, security studies, information assurance or related 7+ years of data analysis / data mining experience Experience with the Threat Landscape and familiarity with threat tracking, attribution, and reporting Able to read/write Regex and Yara Advanced SQL skills including building functions & procedures, writing complex queries, and using SQL as an investigative tool Familiarity with Python (Pandas/Numpy) Familiar with ESX/VMware virtualization environments Demonstrated analytical abilities and creative thinking/problem solving when approaching issues Able to synthesize technical information about large datasets to communicate both qualitatively and quantitatively Advanced data mining skills Interpersonal and presentation skills are important - both oral and written, with the ability to educate others about complex technology/methodologies and clearly articulate business level benefits/impacts Effective verbal presentation and writing skills, including the demonstrated ability to write clear and concise text Nice to have: Experience in AdTech preferred New York Applicants: The salary range for this position is $100,800 - $172,800. Actual pay may vary based on experience or geographic location. About Integral Ad Science Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. IAS's software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com. Equal Opportunity Employer: IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. California Applicant Pre-Collection Notice: We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com. To learn more about us, please visit http://integralads.com/ Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership. #LI-Hybrid

PHMC is proud to be a leader in public health. PHMC requires that all employees are fully vaccinated with the Covid-19 vaccine before the first day of employment. We will offer the Vaccine at no cost at one of our Health Centers. JOB OVERVIEW: This full-time position is in the Philadelphia Department of Public Health, Division of HIV Health (DHH). The Data Manager, Special Projects is responsible for supporting assigned projects within the Surveillance Unit of the Division of HIV Health (DHH). The Data Manager, Special Projects is responsible for the development and management of data collected through several DHH programs and projects such as the Medical Monitoring Project (MMP) and The Field Services Program, ensuring that all assigned projects meet or exceed data quality outcome standards per CDC requirements. Responsibilities include managing large, complex data files, managing SAS code for data cleaning and manipulation, and creating and updating documentation of data management procedures. The position will report to the Lead Epidemiologist in the Surveillance Unit of DHH. RESPONSIBILITIES: Employee is responsible for: ¨ Managing and evaluating data to support assigned DHH program/project areas including the Field Services Program and MMP ¨ Collecting, cleaning, and coding data using statistical analysis programming language (e.g. SAS, R) ¨ Generating internal and external ad-hoc reports to track completion of project deliverables and monitor progress towards outcome standards. ¨ Supporting program/project areas in questionnaire/database development and data entry as requested ¨ Communicating with medical facilities to ensure completion of data requirements, compliance with program protocols, and other project needs ¨ Analyzing data and preparing summaries as directed, including reports, manuscripts, and presentations, which may include tables, graphs and maps ¨ Presenting analytic findings in various settings including at DHH, state, or national meetings and representing DHH at local, regional, state and national professional meetings and conferences as needed. ¨ Contributing to the development of interventions to reduce HIV disease transmission. SKILLS: Demonstrated ability with SAS and understanding of data management procedures is required. Experience with data management and analytic software such as MS Access, EPI-INFO, SPSS, and/or ArcGIS Ability to maintain confidentiality and privacy of sensitive patient information by complying with established data security protocols Excellent communication and organizational skills, and attention to detail EXPERIENCE: ¨ One year of work or educational experience requiring data management and/or data analysis preferred EDUCATION REQUIREMENT: ¨ MPH, Epidemiology or related field preferred ¨ At minimum, completion of Bachelor's degree, preferably in public health, statistics, computer science, or another health science with experience described above ¨ Recent graduates are encouraged to apply. SALARY: To commensurate with experience. CONTACT INFORMATION: Forward Resume to the following: Melissa Miller Kim Address: 1101 Market St, 8th Floor, Philadelphia, PA 19107 E-mail: Melissa.Miller@phila.gov Erika Solomon, M.Ed Address: 1101 Market St, 8th Floor, Philadelphia, PA 19107 E-mail: Erika.Solomon@phila.gov PHMC is an EOE and an E-Verify Employer

City Experiences is seeking a Data Engineer for our Technology operations Salary:$110,000--$120,000 About You: This person will be adaptable, dynamic, and embody City Experiences' RESPECT Service System. About the Opportunity: This person will be a key member of the Data team helping us to analyze data in our Data Mesh and other sources. The role supports the entire Hornblower team who need a broad set of data to develop insights to anticipate consumer purchasing behavior, improve reach, enable data-driven operations and planning decisions. Data is at the center of every insight we will develop as we create business analytics solutions that serve the needs of our internal customers and external partners. This role is critical to the company's success to identify ways to improve the customer experience and the business overall. You will have an impact on the Hornblower brands. Members of this team will be challenged to innovate using big data technologies including data meshes and data lakes. The ideal candidate combines world-class analytical/modeling skills and outstanding business acumen to lead application of various models, experimental design, and best-in-class measurement tools across our teams. Essential Duties & Responsibilities: Work closely with our engineering team to collect, analyze, define, and document data from a variety of sources in our data mesh that will enable development of rich business insights and analysis. Design new methodologies, pulling necessary data, building data models with accuracy from various data sources. Design, develop, launch, automate and maintain reliable data pipelines in production. Optimize SQL query performance, reports and ETL processes. Perform root cause analysis and resolve production and data issues. Design and implement reporting solutions based on users' needs. Develop dashboards, reports, and tools to help monitor performance and drive growth ensuring data hygiene and data integration across sources. Collaborate with business stakeholders to establish clear analytical objectives, approaches, and timelines. Identify data infrastructure issues and drive to resolution. Summarize, visualize, communicate, and document analytic concepts, processes, and results for technical and non-technical audiences. Provide thought leadership and innovation in process, technique, and implementation. Work in an agile team. Additional job duties assigned. Requirements & Qualifications: Strong customer service, organization, and interpersonal skills. Maintain a high level of organization, detailed oriented and meet deadlines. Handle multiple tasks/projects at one time. Establish and maintain effective working relationships as required by job responsibility. Listen effectively, assess the situation, determine relevant issues, & suggest solutions. Have a working knowledge of computer skills, including but not limited to proficiency with Microsoft Office Suites. Must be able to effectively understand and convey written and verbal information to coworkers and Maintain uniform and personal grooming in compliance with appearance standards. Will be required to be available for work nights, weekends and on all major holidays. Bachelor's or Graduate degree in Information Systems, Statistics, Computer Science, Engineering, Mathematics, or related quantitative discipline, or equivalent practical experience. 2-3 years of experience in data engineering, data warehousing and supporting big data analytics projects including Trino, MySQL and StarRocks databases. Some experience with AWS technologies for example Redshift, S3, EMR, RDS, EC2, DynamoDB, Lambda, Kinesis, etc. 1-2 years of experience in ETL development in a business environment with a variety of large and complex data sets 1-2 years of experience in a quantitative role in analytics Expertise in SQL and working with structured and unstructured datasets, as well as data visualization technologies such as Looker or Tableau. Working knowledge of a scripting language (e.g., Python, R) and experience extracting data from REST APIs and script scheduling. Experience with Airflow and NiFi a plus. Deep proficiency with schema design and dimensional data modeling. Experience with big data and cloud platforms to deploy large-scale data science solutions Experience integrating web analytics tools (e.g., Google Analytics) into a data mesh Experience with one or more ETL tools (MuleSoft, Hevo, Boomi, etc.) Knowledge in CRM or lifecycle marketing functions with strong analytical grasp of ecommerce and lifecycle channel measurement KPIs Comfortable leveraging data from multiple data sources to produce actionable business insights. Comfortable with spreadsheet and presentation tools (Excel, PowerPoint). Ability to navigate complex business organizations and manage multiple cross-functional stakeholders Team oriented, collaborative, and cooperative with a strong work ethic Agile team player About Us: City Experiences' passion is to provide amazing experiences on land and water. Our 40-year success through organic growth and acquisitions has resulted in a portfolio of over 25+ brands that welcome upwards of 30 million guests/riders annually. If you're an enthusiastic team player who thrives in an environment where communication, creativity, and cooperation are encouraged, this may just be the opportunity for you. The RESPECT Service System embodies City Experiences' mission, vision, values and operating principles. By creating a company culture that puts RESPECT at its core, we believe it will drive us to achieve our goal of becoming a Global Experiences and Transportation Leader. The Company is proud to be an Equal Employment Opportunity and Affirmative Action employer. We prohibit discrimination and harassment against any applicants or employees based upon their race, color, religion, national origin, sex, age, sexual orientation, gender identity or expression, mental or physical disability, status as a protected veteran, or other characteristics prohibited by applicable law. The Company participates in the E-Verify program in certain locations.

Job Title Senior Data Analyst Summary of the role: Navitaire, an Amadeus company, is constantly evolving the way the world thinks about travel. We challenge industry norms by providing flexible systems that enable our clients to deliver exceptional booking experiences. With over 50 customers worldwide-including many of the world's most successful hybrid and low-cost airlines-Navitaire offers a unique opportunity to make a significant impact on the travel industry. Are you a seasoned data analyst with a passion for transforming data into actionable insights? We are seeking a highly skilled and motivated Senior Data Analyst to join our dynamic team. In this role, you will support internal agile teams by driving the design, development, and optimization of data models and reports. Your expertise will be essential in data exploration, interpretation, statistical analysis, report development, and visual storytelling-ensuring that our data-driven decisions are both impactful and strategic. You will regularly engage with stakeholders, provide updates, understand project priorities, and establish deliverable timelines that drive success. As a key member of the Development Project Management department, you'll collaborate with talented professionals to shape the future of data analytics at Navitaire. If you are a proactive problem-solver with a commitment to excellence, we invite you to bring your skills and experience to our innovative team. This is a hybrid position and would require you to work in our Salt Lake City or Minneapolis office 2-3 days a week. Responsibilities Support cross-functional agile teams by understanding their data needs and providing data-driven recommendations. Collect and integrate raw data from diverse sources (e.g., relational databases, Excel), ensuring consistency and accuracy. Perform exploratory data analysis to uncover trends, patterns, and anomalies. Develop data models and optimize ETL (Extract, Transform, Load) processes. Design and maintain Power BI reports and dashboards using best practices to support data-driven decision-making. Embed Power BI reports into frontend applications and optimize BI solution performance. Communicate findings and recommendations using data visualization tools. Collaborate with cross-functional teams to deliver actionable insights. Partner with senior leadership to understand data needs and provide strategic insights. Conduct ad hoc analyses to address specific business questions or concerns. Troubleshoot and resolve issues related to BI reports and data integration. Stay current on industry trends, emerging technologies, and best practices in data analysis and BI tools. Mentor junior data analysts and promote data literacy across the organization. Qualifications Education: Bachelor's degree in a related field (e.g., statistics, mathematics, information systems, computer science, finance, business management, or economics). Certifications: At least one of the following: Microsoft Certified: Power Platform Developer (PL-400) Microsoft Certified: Enterprise Data Analyst (DP-500 or PL-300) Professional Experience: Minimum of 5 years of experience in data analysis, preferably in a senior role. Project Delivery: Proven experience delivering end-to-end analytics projects, transforming vague requirements into impactful stories with clear business outcomes. Technical Skills: Advanced proficiency in Power BI, including DAX, data modeling, and visualization design. Database Expertise: Strong SQL skills and experience with various database systems. Data Management: Knowledge of data governance and data quality management. Programming: Experience with Python, R, or similar languages is a plus. Data Handling: Ability to manage large and complex datasets. Agile Frameworks: Familiarity with agile software development methodologies. Independence: Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities. Cloud Platforms: Familiarity with Azure, AWS, or similar platforms. DevOps: Knowledge of CI/CD pipelines and version control systems (e.g., Git). Data Modeling: Solid understanding of data modeling and database design. Soft Skills: Excellent problem-solving, communication, and collaboration skills. Working at Amadeus, you will find A critical mission and purpose- At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose. A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture. Great opportunities to learn- Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues. A caring environment- Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment. A complete rewards offer- Amadeus provides attractive remuneration packages, covering all essential components of a competitive reward offer, including salary, bonus, equity, and benefits. A flexible working model- We want our employees to do their best work, wherever and however it works best for them. A diverse and inclusive community- We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization. A Reliable Company- Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees. #LI-AM2024 Diversity & Inclusion Amadeus is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or a related medical condition), ancestry, national origin, age, genetic information, military or veterans status, sexual orientation, gender expression, perception, or identity, marital status, mental or physical disability status, or any other protected federal, state, or local status unrelated to performance of work involved. Amadeus endeavors to make https://jobs.amadeus.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at accommodations@amadeus.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

About the Team At OpenAI, we strongly believe in the importance of data and have seen repeatedly how large of an impact focusing on data quality can yield across all of our projects. The Data Processing team brings this focus to our flagship GPT models, owning the pipelines for turning raw data into the high quality, diverse, and multimodal datasets used to train our largest models. We work closely with teams focused on data acquisition, data quality, and multimodal data throughout Research. Most recently, in collaboration with these groups, we were responsible for building the dataset used to pre-train OpenAI's newest multimodal model GPT-4o. In addition to building new datasets, we collaborate on data research and acquisition with teams in Research and Multimodal to explore ways to get more out of data, including questions around efficiency, efficacy, and diversity. We also own and continuously improve the infrastructure used across several teams to prepare data for training models small and large. About the Role As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills who are comfortable working with large distributed systems and strive to write quality, well tested code. The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future. In this role, you will: Build and own data pipelines operating on internet-scale data spanning the text, image, and audio modalities Collaborate with many teams within Foundations and across Research to incorporate our latest and greatest research into pre-training datasets Research new methods for improving our datasets alongside researchers within Foundations You might thrive in this role if you: Enjoy working at the cutting-edge of large language model research Have experience running complicated processing on very large datasets Are comfortable working in a fast-paced, dynamic environment - research can evolve quite rapidly! About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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

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

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. The Discover, Nurture, and Adopt (DNA) division at TRI focuses on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. DNA is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is harmonious with TRI's robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM). We are looking for a data scientist to contribute to the end-to-end model development using Diffusion Policy and Large Behavior Models (LBM) for automated driving. This role involves focusing on analyzing large-scale data, evaluating models, curating datasets, and optimizing performance to enhance automated driving systems. You will also develop algorithms, pipelines and key strategies to enhance and streamline scalable large fleet data and vendor data. You will work closely with machine learning researchers, software engineers, and roboticists to drive execution, manage dependencies, and accelerate the transition of research models into real-world deployment. This role offers a unique opportunity to drive innovative AI research into real-world deployment, shaping the future of automated driving. If you are passionate about building transformative AI-driven mobility solutions, we invite you to apply and help us advance the next generation of automated driving vehicle technology. Responsibilities Design and implement data strategies for collecting, sampling, labeling, and using large-scale datasets to train and validate Large Behavior Models (LBM) in automated driving scenarios. Develop metrics and evaluation frameworks for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations. Analyze model performance metrics, model failure modes, statistical relevance of datasets, collaborating with machine learning engineers to fine-tune, debug, and optimize models for automated driving tasks. Design and improve scalable data pipelines and automation for machine learning and performance evaluation. Support the integration of multi-modal data sources (e.g., vision, radar, language, maps) into end-to-end driving models. Work closely with cross-functional teams to bridge the gap between research models and production deployment. Qualifications MS or PhD in related fields. 5+ years of experience in data science, machine learning, or a related field, with a focus on large-scale AI applications. Strong background in statistical analysis, data mining, and machine learning techniques. Proficiency in Python and SQL for data manipulation, analysis, and visualization. Experience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling). Experience in building machine learning algorithms and infrastructure, including data pre- and post-processing, sampling and curation, ablation studies, and evaluation. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML model evaluation. Familiarity with large-scale dataset management, including handling high-dimensional sensor data. Strong analytical and problem-solving skills, with the ability to interpret complex datasets and drive actionable insights. Experience working in cross-functional AI research and engineering teams. Bonus Qualifications Experience in automated driving technologies, including perception, prediction, planning, or sensor simulation. Experience in building or managing infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions. Experience working with temporal/sequential and/or spatial data. Hands-on experience with sensor data processing (e.g., camera, LiDAR, radar, IMU). Familiarity with automotive simulation tools and real-world autonomous vehicle testing. The pay range for this position at commencement of employment is expected to be between $201,600 and $302,400/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

P-987 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Job Title Senior Quality Engineer-Data Analytics Job Description In late January we announced that Bridgefield Capital signed an agreement to acquire Philips' Emergency Care business, which includes leading brands and products like HeartStart AEDs, Intrepid and DFM100 monitor defibrillators, Tempus monitor and Tempus ALS systems, and Corsium and ECI informatics solutions. We expect the transaction to close at the end of 2025. With Bridgefield's support and building on our 40+ year legacy of growth and innovation in emergency medical technology, the Emergency Care business will continue passionately pursuing our mission of saving lives, lowering the cost of healthcare, and advancing the science of resuscitation while serving the public access AED, EMS, military, and hospital market segments. In this Senior Quality Engineer-Data Analytics role and as part of an agile company that has the dedicated resources needed to achieve its strategic goals, you'll have every opportunity to grow both personally and professionally and potentially make an even bigger impact on the acute care space - as well as on the consumers, patients and healthcare workers who depend on these innovative life-saving solutions. The Senior Quality Engineer-Data Analytics will create new tools and methods to analyze quality data and create meaningful recommendations that enable leadership to make better decisions that contribute to the safety and efficacy of Emergency Care products that save lives and improve health. Your role: Responsible for Identifying/Using state-of-the-art business intelligence, reporting/data analysis methods, technology and tools, such as machine learning, computational statistics, and data mining to identify hidden insights from the wealth of data available within Philips. Will manipulate big data sets using innovative tools as well as proven techniques to disseminate complex raw information into clear and concise recommendations. Compile, analyze, and effectively present trending reports to identify opportunities that increase efficiency, ensure quality, and decrease cost. Develop and implement tools and techniques resulting in recommendations that enable leadership to make better data-based decisions. Build custom data queries and standardized reports by collaborating with internal customers to understand their needs. Compile and review Quality Operations KPI's and support the compliance effort of the Quality & Regulatory team. Support ongoing compliance improvement initiatives, including CAPAs. Validate all standardized queries, reports, and metrics used for quality purposes. Leads cross function projects and demonstrates expertise in implementing strategic improvement projects. Acts in a leading position as both a technical coach and strategist for Data Analytics. Creates and continually improves procedures and work instructions to ensure reliable, repeatable results. You're the right fit if: You've acquired a minimum of 7 years' experience in Data Analytics, with a focus on analyzing large sets of data in Healthcare, Finance, Aerospace, or other applicable, highly regulated, industries. Experience working within a Quality Management System (QMS) required. Experience working in an FDA regulated medical product environment preferred. Experience implementing strategic Data Analytics initiatives across organizations and ability manage multiple large/complex projects simultaneously. Excellent customer service and interpersonal communication skills, including regularly leading presentations in front of leadership. Excellent teamwork skills, with proven ability to influence and build rapport with internal customers and stakeholders. Experience with data mining methods, statistical analysis, & data visualization methods, as well as writing queries for relational databases, such as MS SQL Server. Experience with tools/languages such as Power BI, Minitab, Excel, Python, etc. You have a minimum of a Bachelor's Degree (Required) in Data Science/Analytics, Statistics, Computer Science, Information Technology, or a related field. MS preferred. Six Sigma Green/Black Belt certification preferred. You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position. How we work together: We believe that we are better together than a part. For our Office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations. This is an Office role. About Philips: We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. Learn more about our culture. Philips Transparency Details: The pay range for this position in AZ, AR, ID, IA, KS, KY, LA, ME, MS, MO, NE, NM, OK, SC, SD, TN, UT, or WV is $109,013 to $174,420 The pay range for this position in AL, CO, FL, GA, HI, IL, IN, MI, MN, NV, NH, NC, ND, OH, OR, PA, TX, VT, VA, WI, or WY is $114,750 to $183,600 The pay range for this position in AK, DE, MD, NY, RI, or WA State is $120,488 to $192,780 The pay range for this position in Bothell, WA, CA, CT, DC, MA, or NJ is $128,520 to $205,632 The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity. In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here. At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. Additional Information: US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future. May require travel up to 10%. #LI-PH1 This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration. Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $84,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Lead Software Engineer- Big Data We are looking for lead or principal software engineers to join our Data Cloud team. Our Data Cloud team is responsible for the Zeta Identity Graph platform, which captures billions of behavioural, demographic, environmental, and transactional signals, for people-based marketing. As part of this team, the data engineer will be designing and growing our existing data infrastructure to democratize data access, enable complex data analyses, and automate optimization workflows for business and marketing operations. Job Description: Essential Responsibilities: As a Lead or Principal Data Engineer, your responsibilities will include: Building, refining, tuning, and maintaining our real-time and batch data infrastructure Daily use technologies such as HDFS, Spark, Snowflake, Hive, HBase, Scylla, Django, FastAPI, etc. Maintaining data quality and accuracy across production data systems Working with Data Engineers to optimize data models and workflows Working with Data Analysts to develop ETL processes for analysis and reporting Working with Product Managers to design and build data products Working with our DevOps team to scale and optimize our data infrastructure Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects Participating in 24/7 on-call rotation (be available by phone or email in case something goes wrong) Desired Characteristics: Minimum 7 years of software engineering experience. Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things. Expertise in designing and architecting distributed low latency and scalable solutions in either cloud and onpremises environment. Exposure to the whole software development lifecycle from inception to production and monitoring Fluency in Python or solid experience in Scala, Java Proficient with relational databases and Advanced SQL Expert in usage of services like Spark, HDFS, Hive, HBase Experience in adequate usage of any scheduler such as Apache Airflow, Apache Luigi, Chronos etc. Experience in adequate usage of cloud services (AWS) at scale Experience in agile software development processes Excellent interpersonal and communication skills Nice to have: Experience with large scale / multi-tenant distributed systems Experience with columnar / NoSQL databases- Vertica, Snowflake, HBase, Scylla, Couchbase Experience in real team streaming frameworks- Flink, Storm Experience with web frameworks such as Flask, Django Company Summary Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry's 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth. Our technology runs on the Zeta Marketing Platform, which powers 'end to end' marketing programs for some of the world's leading brands. With expertise encompassing all digital marketing channels- Email, Display, Social, Search and Mobile- Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable. Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc300945353.html https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-crosschannel-campaign-management-reports-by-independent-research-firm-300938241.htm

NVIDIA is searching for outstanding software engineers to join the CUDA driver team. This team develops and supports NVIDIA's GPU administration tools for monitoring and orchestrating our Compute GPU product line-up. The NVIDIA Data Center product line-up scales from single GPU add-in cards to full system DGX products, all built on developing technologies like PCI Express, NVLink, and NVSwitch. This work includes design, development, verification, and maintenance of new software features that monitor and run the Compute product line-up on Windows and Linux Operating Systems. In this role, you will work with hardware and kernel driver engineers on exposing new GPU features to customers and system administrators. What you'll be doing: Work on System and Device Monitoring/Management Tools for our Compute Professional Solutions products! Leverage the C-based NVML (NVIDIA Management Library) API, NVIDIA-SMI (NVIDIA System Management Interface), and C++ Device Monitoring libraries and tools! Effectively write maintainable and well-tested code as well as develop code for multiple operating systems. Coordinate and drive development efforts across multiple teams defining forward-looking improvements. Develop and maintain software features targeted at enabling and supporting NVIDIA GPU hardware. Impact both current and upcoming Linux and Windows based operating systems, ensuring the best performance and feature set and cross platform implementation. Support new hardware architectures for both pre-silicon and post-silicon. Work with other internal worldwide teams (software, hardware, architecture, OEM support). Collaborate with customers on understanding needs and defining feature requirements, as well as communicate new features and solutions. What we need to see: B.S. or M.S. in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience). 6+ years of "hands on" experience developing or maintaining user space library and tools, especially for the Linux OS. Programming skills in C, C++ and Python required Experience with kernel device drivers, kernel development and debugging or working with low-level hardware and software interfaces. Experience working with device monitoring tools is a plus Strong English written and oral communication skills to collaborate with other specialists or teams globally (worldwide). Windows operating systems experience The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The Opportunity Join our dynamic team as a Business System Analyst - Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role as a strategic liaison between investment stakeholders and technical delivery teams. Your role is pivotal in enabling high-quality data solutions that support informed decision-making, regulatory compliance, and operational excellence across investment operations. The Team You'll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Investment Management Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our Investment Management and CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: Act as the primary interface between Investment Management teams and Data Engineering & Analytics groups. Elicit, document, and translate complex business requirements into clear technical specifications (BRDs, FRDs, user stories, process flows). Drive the design and implementation of investment data solutions, including data pipelines, reporting dashboards, and analytics platforms. Support system configuration, integration, and user acceptance testing (UAT) for investment data platforms. Collaborate with Data Engineers, Architects, and BI Developers to ensure alignment with business objectives and data strategy. Lead or contribute to UAT planning and execution, including test case development, defect tracking, and resolution. Maintain comprehensive documentation such as business process flows, data dictionaries, and traceability matrices. Partner with data governance, compliance, and investment operations teams on cross-functional initiatives. The Minimum Qualifications Bachelor's degree in Economics, Actuarial Science, Finance, Accounting, Information Systems, or related technical or quantitative fields 8+ years of experience as a Business Systems Analyst or similar role in data analytics or technology projects 3+ years of domain experience in asset management, investment management, insurance, or financial services. The Ideal Qualifications Familiarity with Investment Operations concepts such as Critical Data Elements (CDEs), data traps, and reconciliation workflows. Working knowledge of data engineering principles: ETL/ELT, data lakes, and data warehousing. Proficiency in BI and analytics tools such as Power BI, Tableau, MicroStrategy, and SQL. Excellent communication, analytical thinking, and stakeholder engagement skills. Experience working in Agile/Scrum environments with cross-functional delivery teams. Proven track record of Analytical and Problem-Solving skills. In-depth knowledge of investment data platforms, including GoldenSource, NeoXam, RIMES, JPM Fusion, etc. Expertise in cloud data technologies such as Snowflake, Databricks, and AWS/GCP/Azure data services. Strong understanding of data governance frameworks, metadata management, and data lineage. Familiarity with regulatory requirements and compliance standards in the investment management industry. Hands-on experience with IBOR's such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart. Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion. Experience with cloud data platforms like Snowflake and Databricks. Background in data governance, metadata management, and data lineage frameworks. Exceptional communication and interpersonal skills. Ability to influence and motivate teams without direct authority. Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. Ability to lead cross-functional teams and manage complex projects. #LI-RK1 Salary Range: $124,800.00-$163,800.00 At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. Why Join Us. We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Channel Sales and Partnerships, Data Partners(Open to Remote US) Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Job Description Summary We are looking for a professional, thought-leader and hustler to help Mastercard reach more customers through strategic partners focusing on our business and market insights solutions in the NAM region. The ideal candidate is someone who is passionate about data and insights and understand how to put together smart data partnerships. This position is a quota-carrying, revenue-producing role that is responsible for developing and managing channel and alliance partner relationships within the NAM region. The role is responsible for executing our strategy with regional nuances for the entire partner lifecycle; new partner recruitment, partner onboarding, partner revenue activation, and partner growth. Background: Mastercard Services encompasses Mastercard offerings beyond the transaction. It is our mission to drive smarter decisions with better outcomes. We help businesses grow by offering them insights, solutions, and advice to enhance how they find, engage, optimize, protect, and grow customer relationships and stay ahead of competition. Read more about our solutions here: Product Catalog | Mastercard Data & Services (mastercardservices.com) including Credit Risk Analytics, Merchant Insights, SpendingPulse, Geo Insights, Places, and Tourism Insights Role/Responsibilities: Define the desired profile of potential partners with the help of management Research, identify, qualify and screen potential partners that align with the target partner profile Gain qualified partners' commitment to becoming engaged and productive by formulating and conveying a compelling business proposition Prior to finalizing contract negotiations with each partner, develop a joint business plan (including sales targets) that is aligned with the Mastercard standards and strategy Maintain a solid pipeline of qualified prospective partners to meet established recruitment targets Meet assigned revenue targets through sell to/sell with channel partners Drive onboarding and activating new partners; focus on ensuring the partners' team members are enabled, equipped and motivated to sell, market, deploy and support the Mastercard offering within established timeframes Engage Mastercard resources and stakeholders in support of partnership objectives and sales opportunities (e.g. direct sales, Product Liaisons, marketing, etc) Manage channel pipeline and forecast reporting and track progress through the sales cycle Drive monthly partner alignment sessions to review partners' pipelines, conduct win/loss analysis, and develop account penetration strategies to identify and build new sales opportunities Work with high-performing and high-potential partners to develop an annual joint business plan that defines strategies and activities to meet revenue goals; review and assess plan progress in partner-facing quarterly business reviews, making changes as appropriate Provide partner and market feedback loop to internal functions (e.g. sales, product, marketing) on tools and programs Required experience and skills: Experience in business and consumer data and insights solutions with direct exposure to data platforms, data aggregators, analytics providers, and consultancies from a sales, data acquisition/sourcing, or partnerships capacity Experience sourcing, qualifying, screening and forming business relationships with channel partners at the CXO level Experience managing major customer / partner relationships to make things happen, grow the pie, and maintain an excellent level of transparency, trust, and collaboration Strong personal network within the industry Experience developing and managing joint business planning with partners Who you are Strategic thinker who can quickly develop a point of view on market opportunities to focus on for each solution area and move to action Be comfortable with a high degree of ambiguity and build-it-as-we-go mentality (if you are looking for a standard toolkit and clear direction on what to do, this job isn't for you) Fan of working with people internally or externally. You don't shy away from approaching people you never met before to pitch what we do and you don't feel bad if you get ignored. It's part of the job. Commercial oriented-always looking for the next mega opportunity A great listener and collaborator who's always humble enough to keep learning from internal teams and external subject matter experts Salary Range for Purchase, New York: $132,000 - $206,000 #servicesbd Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

About Sound: Headquartered in Tacoma, WA, Sound Physicians is a physician-founded and led, national, multi-specialty medical group made up of more than 1,000 business colleagues and 4,000 physicians, APPs, CRNAs, and nurses practicing in 400-plus hospitals across 45 states. Founded in 2001, and with specialties in emergency and hospital medicine, critical care, anesthesia, and telemedicine, Sound has a reputation for innovating and leading through an ever-changing healthcare landscape - with patients at the center of the universe. Sound Physicians offers a competitive benefits package inclusive of the items below, and more: Medical insurance, Dental insurance, and Vision insurance Health care and dependent care flexible spending account 401(k) retirement savings plan with a company match Paid time off (PTO) begins accruing immediately upon start date at a rate of 15 days per year, in accordance with Sound's PTO policy Ten company-paid holidays per year ABOUT THE ROLE The Automation Engineer, Data Quality will focus on creating and maintaining tools for monitoring and responding to data quality issues across the data landscape, with a strong emphasis on automation. This role is critical for enhancing the maturity of our data quality domain and ensuring the accuracy and reliability of our data. ESSENTIAL DUTIES AND RESPONSIBILITIES Develop and implement automated tools and frameworks for monitoring data quality across various data sources and systems. Create processes for detecting, diagnosing, and resolving data quality issues in a timely manner. Collaborate with ETL developers, data analysts, and other team members to ensure data quality standards are met throughout the data pipeline. Define and enforce data quality rules, standards, and best practices. Conduct root cause analysis of data quality issues and implement corrective actions to prevent recurrence. Develop and maintain documentation for data quality processes, tools, and standards. Monitor and report on data quality metrics and KPIs to stakeholders. Participate in agile ceremonies such as sprint planning, daily stand-ups, and backlog grooming. Continuously evaluate and improve data quality tools and methodologies to enhance efficiency and effectiveness. VALUES Self-motivated: Proactively jumps in to start a task or project with limited direction; asks to take on more responsibility and what's next. Committed: Demonstrates a dedication to the job, project, organization, customer/clients and co-workers. Intellectually curious: Demonstrates a genuine interest in learning new things and wants to know the reason "why" behind the way things are done. Team Player: Proactively seek to work with others to accomplish a common goal. Willingness to share challenges and successes with others. Resourceful: Proactive willingness to utilize available information and tools to figure things out. KNOWLEDGE, SKILLS AND ABILITIES Proficiency in SQL and experience with data quality tools and frameworks. Strong understanding of data warehousing concepts and ETL processes. Experience with scripting and programming languages (e.g., Python, R) for automation purposes. Familiarity with data visualization tools, particularly Power BI. Excellent analytical and problem-solving skills. Strong communication and collaboration skills with the ability to effectively interact with technical and non-technical stakeholders. Self-motivated work style with the ability to prioritize and execute tasks independently. EDUCATION AND EXPERIENCE Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field. Minimum of 3 years of experience in a data quality or data engineering role, with a focus on automation. EXPERIENCE PREFERRED Experience with data warehousing concepts such as data modeling, ETL development, data integration, and data analysis. Development experience in Power BI, and knowledge of advanced Power BI features such as data modeling, performance optimization, and advanced visualization techniques. Expertise in clinical metrics and KPIs for specialties such as hospital medicine, emergency medicine, anesthesia, telemedicine, critical care, revenue cycle, business operations, finance, and accountable care. Expertise in technologies that can promote automation in a data warehousing and analytics team, particularly those in machine learning or AI. Pay Range: This position offers an annual salary range of $115,000 - $125,000. Starting salary will be based on candidate experience and geographical location. Sound Physicians is an Equal Employment Opportunity (EEO) employer and is committed to diversity, equity, and inclusion at the bedside and in our workforce. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws. This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment.

Data Systems Manager 1 Information Technology $33.594/Hour Montana Technological University provides a comprehensive benefits package for all eligible positions that includes health, dental and vision insurance, mandatory retirement plan with employer contribution, partial tuition waiver, and a wellness program. Applications received by June 20, 2025 will be guaranteed full review and consideration. Applications received after that date may be considered until an adequate applicant pool has been established. Duties: The Data Systems Manager supports our Banner Student Information System and associated tools. This position serves as a key liaison between functional office users and the Ellucian Banner Cloud team, ensuring that the Banner Student System remains current with patches and optimally configured to meet institutional needs. This person will be responsible for maintaining and enhancing various support systems, including Microsoft Access databases and integrations with third-party applications. The role also includes backup support for the Assistant Director of Information Services, including assistance with reporting from both the local Banner Student System and the Banner Payroll/HR systems (hosted by the University of Montana). Key Responsibilities: Collaborate with office staff and the Ellucian Banner Cloud team to coordinate system updates, patches, and configuration changes to the Banner Student System. Provide functional and technical support for office users, resolving issues related to the Student Information System and associated Microsoft Access databases. Develop, maintain, and troubleshoot Microsoft Access databases used by administrative departments. Write and maintain Bash shell scripts that execute PL/SQL and SQL commands. Schedule and monitor automated jobs via the ISE (EnterpriseSCHEDULE) scheduling service. Design, implement, and maintain data integrations between Banner and third-party applications to support smooth data flow and business process automation. Provide support for reporting from both Banner Systems (Student and Payroll/HR). Build and maintain positive working relationships with coworkers, office staff, and Information Services leadership. Cross-train with the Assistant Director of Information Services and other team members to ensure continuity and knowledge transfer. Demonstrate strong communication and interpersonal skills to effectively support both technical and non-technical users. Contribute to Banner release testing, upgrades, and business process improvements Required Qualifications: Minimum of three years of Banner functional administration experience or a Bachelor's degree in Computer Science, Business Information Systems, or a related field. Proficiency in SQL and/or PL/SQL. Strong oral and written communication skills. Ability to work in a highly collaborative, team-oriented environment. Strong problem-solving skills and analytical thinking. Preferred Qualifications: Experience with Microsoft Access, including forms, queries, macros, and troubleshooting. Familiarity with Linux operating systems and related tools/scripting. Experience writing Bash shell scripts to automate data tasks. Experience with job scheduling software (ISE/EnterpriseSCHEDULE or similar). Familiarity with ITIL-based ticketing systems (e.g., TeamDynamix) for managing projects, bugs, and support requests. Physical Demands This position requires the ability to work for long periods (more than an 8-hour day) to restore functional status when there has been a major failure For full consideration application materials must be complete. Please include: Cover letter addressing qualifications, Resume Contact information for 3 professional references. For full consideration application materials must be complete. Any offer of employment is contingent upon a satisfactory criminal background check. Montana Tech is committed to providing a working and learning environment free from discrimination. As such, the University does not discriminate in the admission, access to or conduct of its educational programs and activities nor in its employment policies and practices on the basis of race, color, religion, national origin, ethnicity, creed, service in the uniformed services (as defined in state and federal law), veteran status, gender, age, political beliefs, marital or family status, pregnancy, physical or mental disability, genetic information, gender identity, gender expression, or sexual orientation or preference. In support of the University's mission to be inclusive and diverse, applications from qualified minorities, women, veterans and persons with disabilities are highly encouraged. Montana Tech makes accommodation for any known disability that may interfere with an applicant's ability to compete in the hiring process or an employee's ability to perform the duties of the job. In compliance with the Montana Veteran's Employment Preference Act, Montana Tech provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran's preference please complete the employment (veteran's) preference form located on the employment page and email to humanresources@mtech.edu. You must include the job title of the position in which you are applying. Employment (veteran's) preference form To request an accommodation for the application or interview, please contact Cathy Isakson 406-496-4380; cisakson@mtech.edu Why Work at Tech? Help meet the changing needs of society by providing a transformative student experience by helping develop leaders for tomorrow by advancing science, engineering and technology. In addition, Montana Tech offers an attractive benefits package* which includes: Medical, Dental, and Vision Insurance with low deductibles and comprehensive coverage. Generous employer contribution toward monthly health care benefits worth $6.08 per hour. 5.9% retirement employer contribution for eligible employees 11 Holidays per year 3 weeks of Annual Leave to start Generous sick leave policy that can be used for sick children, doctor and dentist appointments as well as bereavement. 6 credits of coursework free per year (fees not included) Life and Disability Insurance Reduced tuition for dependents after 4 months of employment for eligible employees Employee Assistance and a Wellness Program Optional Retirement Plan for eligible employees Possible remote work days with supervisor approval and eligible positions. Benefits are dependent on position type and terms and conditions of eligibility. Montana Technological University, Butte Montana, is nestled in the Heart of the Rocky Mountains along the Continental Divide, where I-15 and I-90 intersect. We are home to the largest National Historic District in the country. Montana Tech is a special focus institution with a reputation for excellence and value. Montana Tech is ranked #1 in the nation by CollegeNET.

About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead. Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today! As a Senior Data Scientist, you will: Implement solutions to solve sophisticated business and engineering problems using machine learning, econometrics and operations research techniques Build customer-focused analytics with data scientist peers Discover opportunities to improve systems, processes and enterprises through data analytics and automation Generate reports for decision-making using data visualization tools Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms Develop in-depth business and domain understanding Translate analytics techniques published in peer-review journals and conference proceedings into practical solutions for challenges at hand Required Education, Experience, & Skills: Bachelor or Master's Degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering Knowledge of HVAC and refrigeration related thermodynamics, system operation and system control logic Proven experience in applying signal process (time and frequency domain) for feature engineering Experience in data wrangling and modeling in Python or similar language and collaborate using Git Proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques Proficient in robust statistics, hypothesis testing, experimental design Experience with modelling techniques for sophisticated systems and machine learning Excellent verbal and written communication skills Ability to work virtually with a global team Ability to translate ambiguous business problem into actionable analytics and data science tasks Preferred Education, Experience, & Skills: Doctorate degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering or hold a combination of Master's degrees in Engineering and Analytics / Artificial Intelligence fields Extensive knowledge (3+ years) in "green refrigerant" system(s) working principle, related thermodynamics, system simulations 3-5 years of practical experience in predictive maintenance Proven experience as the technical lead for project(s) or research or acted as a change agent for transformation initiatives Experience in applying control theory, system identification, dynamic modeling, optimization to tackle practical system level instability and/or failure Experience in reinforcement learning (RL) and natural language processing (NLP) Experience with Docker, Azure DevOps, Agile sprints Familiar with basic SQL commands (e.g. windowing function, group-by aggregate, pivot) Ability and interest in translating highly sophisticated and abstract concepts to internal and external team members with minimum analytics knowledge Flexible Work Schedule- Remote Work Option and Core Hours This role has the flexibility of a remote work option up to three days a week and a core hour schedule. You can choose to flex your start and stop times given you are working during the core hours of 9:00am- 3:00pm. Our teams work together to ensure our chosen work schedules enable our creativity and productivity as we serve the needs of our customers. Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That's why everything we do is geared toward a sustainable future-for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k), tuition reimbursement, and more. We provide employees with flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Together, we have the opportunity - and the power - to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! #LI-AE1 Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That's why everything we do is geared toward a sustainable future-for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k) and more. We provide employees with flexible time off plans, including paid parental leave, vacation and holiday leave. Together, we have the opportunity - and the power - to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! Our Commitment to Diversity, Equity & Inclusion At Copeland, we believe having a diverse, equitable and inclusive environment is critical to our success. We are committed to creating a culture where every employee feels welcomed, heard, respected, and valued for their experiences, ideas, perspectives and expertise. Ultimately, our diverse and inclusive culture is the key to driving industry-leading innovation, better serving our customers and making a positive impact in the communities where we live. Work Authorization Copeland will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer Copeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment. If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: copeland.careers@copeland.com

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance