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

About Coresite At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we're not just building state-of-the-art infrastructure-we're creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Data Center Technician III Role: The Data Center Technician III assists in the operational integrity, security, and regulatory compliance of the data center. The technician is to have a strong knowledge of telecommunications, mechanical, electrical, and life safety systems as well as data center operating procedures. We are currently hiring for the Swing Shift: 3:00pm - 11:30pm, Tuesday-Saturday A Tier III technician will be responsible for day to day operations of the data center including facilities and telecommunication infrastructure. The responsibilities are wide ranging and multi-disciplinary. Mechanical responsibilities will include working on chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, humidification systems, and central plant operations. Electrical responsibilities will include working on electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load including power circuit installations. Fire Life Safety responsibilities will include monitoring wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Telecommunications responsibilities will include cross connect installations, cabling infrastructure management, advanced remote hands support, and customer cage and cabinet build outs. Responsibilities will include customer infrastructure build-outs (cage builds, overhead installations, rack and stack), cable termination and testing, maintenance work, monitoring and responding to mechanical, electrical, fire protection, telecom, and security systems. These systems include, transformers, PLC's, generators, switchgear, UPS systems, STS', ATS' PDU's, chilled water systems, CRAC/CRAH, wet sprinkler systems and pre-action sprinkler, network equipment, transmission media, cabling infrastructure, security hardware, and CCTV. Duties: Completion of CoreSite's Data Center Operations Qualification Program to the tier level at which you are hired within the first nine (9) months of employment. Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Communications, Building Monitoring and Control. Tracking and trending operational characteristics. Provide feedback to management on the effectiveness of existing standards and processes. Works with contractors and consultants for all system expansions, corrections and upgrades Work with the senior technicians to track and complete an aggressive preventive and predicative maintenance schedule. Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction as per CoreSite guidelines. Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT. Manage systems to avoid unplanned, customer-impacting outages. Navigate and utilize a CMMS system. Provide day-to-day exceptional customer service and support. Maintain and complete regular facility and security tours documenting and responding to found issues. Assist with the database management of maintenance discrepancies and work with to resolve site issues based on agreed upon priorities. Follow direction from data center management regarding the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency. Trouble Ticket and Remote Hands Management Fiber and Copper cabling terminations Circuit path creation and verification Coordinate and oversee power installations and upgrades Work Order Completion Process Infrastructure projects (Internal/Customer) Cage and Cabinet Build-Outs Overhead Installations Rack and Stack Use developed procedures to solve problems Assist in asset and consumable inventory management. Responsible for the tracking and proper labeling of all equipment per established procedures. Incident escalation, response, and follow-up report writing Manage building service requests through resolution. Perform and complete work orders and customer service tickets in a timely manner Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities. Adhere to and promote CoreSite's Principles of Operational Excellence Provide applied mechanical and integrated control expertise for the entire data center.

Who are we? Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You'll work across teams, influence key decisions, and help shape the path forward. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. Job Summary Our data products power the insights, decisions, and operations of teams across Equinix. We build and manage core data platform capabilities, reusable data models, semantic layers, decision-ready dashboards, conversational BI, and custom AI solutions including interconnection recommendation engines, automated data center cage design, etc. As we scale, we are transforming internal operational and analytical data into unified, governed, high quality assets for Equinix, and we plan to build toward commercializing differentiated data and insights offerings for external customers. We're looking for a Director of Data Product Management to develop the data and AI product roadmap for our Global Markets and Product Organization (GMPO). This is a senior product leader role, that will interface with both senior business leaders and engineering, data science team. You'll partner directly with engineering and data science leadership as a peer - someone who can evaluate technical approaches, challenge estimates, and make sound build-vs-buy decisions. You won't just gather requirements and hand them off; you'll shape solutions. Key priorities for this role include building our Product 360 capability, a unified view of customer, product, and transaction data that will power pricing optimization, solution design, and developing network intelligence products that help customers optimize their multi-cloud interconnection footprint. This role resides within Equinix's Enterprise Data & Analytics team, and reports to the Senior Director of Data Product, GMPO and Business Operations. Responsibilities Build the product strategy and roadmap; own key products Develop the Data and AI product strategy for GMPO, aligned to business goals and prioritized against real constraints Lead development of a unified Product 360 view that integrates customer firmographics, behavioral data, product usage, and transaction history Develop graph-based views of customer network topology to identify optimization opportunities, redundancy gaps, and capacity planning needs Develop business cases, drive prioritization and resource allocation to deliver highest-ROI outcomes; say no when needed and make the case for it Partner with engineering as a technical peer Work side-by-side with engineering and data science leadership to evaluate technical options, identify technical tradeoffs, estimate effort, and make architecture recommendations where applicable Review and assess data models, pipeline designs, and system architectures; identify risks and tradeoffs before they become problems Critique and challenge inflated estimates and oversimplified proposals; know when a "simple" request is actually complex Guide engineering toward pragmatic solutions when requirements are ambiguous or shifting Drive business impact through stakeholder partnership Build trust-based relationships with senior business stakeholders by understanding their strategy, pain points, and how data and AI solutions can help Run monthly/quarterly portfolio reviews to ensure delivery stays on track and aligned to business needs Set clear expectations, push back on low-value requests, and educate stakeholders on what's possible and what's not Frame ambiguous problems, generate hypotheses, and drive to recommendations when there's no clear precedent Manage through transition and complexity Lead data product continuity during a major technology stack migration; ensure critical reporting capabilities remain intact as systems transition over multiple quarters Partner with engineering to design interim solutions that bridge old and new data models during migration Balance strategic roadmap work with operational needs; protect time for building while keeping the lights on for products in 'maintenance' mode Bring outside-in perspective Stay current on analytics, AI/ML, and data product trends; bring relevant innovations (e.g., Product 360 approaches, AI-augmented BI, knowledge graphs) to inform roadmap decisions Serve as a trusted technical advisor to business partners on what's emerging and what's hype Qualifications Required 10+ years of professional experience, including 6+ years in product management for enterprise data platforms, reporting and analytics products, or AI/ML products Prior hands-on technical experience as a data engineer, software engineer, or data scientist Deep fluency in SQL and data modeling - you can look at a schema and identify problems, evaluate query performance, and discuss normalization tradeoffs Track record of partnering with engineering leadership as a technical peer, not just a requirements-passer Proven ability to drive prioritization, make tradeoffs, and push back on stakeholders when needed Strong communication skills; able to simplify complex technical concepts for business audiences Experience operating in a highly cross functional, global business Preferred / Nice to have Experience managing AI/ML product development end-to-end, from problem framing through deployment and iteration Experience building customer-facing data products, not just internal tools / dashboards Experience building customer 360 or product 360 data products, including entity resolution and identity matching across multiple source systems Experience with building LLM ready semantic layer - ensure semantic layer is governed, well-modeled, and reliable Cloud data platform expertise (e.g., BigQuery, Snowflake, Databricks, Redshift) Familiarity with MLOps concepts: feature stores, model serving, monitoring, retraining Industry background in cloud infrastructure, B2B SaaS, data centers, telecommunications, or multi-cloud networking Skills Able to break down ambiguous, cross-functional problems and drive to a solution when there's no clear precedent or playbook Comfortable reading and critiquing technical artifacts - data models, architecture diagrams, pipeline designs - and asking the right questions when something doesn't add up Able to quickly T-shirt size level of effort for data and AI initiatives across product and engineering Able to effectively translate between engineering and business - simplifying technical tradeoffs for executives while maintaining credibility with engineers Drives decisions forward; knows when to build consensus and when to make the call and move on Takes ownership of outcomes, not just delivery; holds themselves and partners accountable to business impact This posting is a new position within our organization. The targeted pay range for this position in the following location is / locations are: Canada- Toronto Office TRO : 182,000 - 272,000 CAD / Annual United States- Dallas Infomart Office DAI : 177,000 - 265,000 USD / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. Equinix Benefits As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work. Employee Assistance Program: An Employee Assistance program is available to all employees. US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.- Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.- Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms. Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members.- Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA).- Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion. Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. We use artificial intelligence in our hiring process. Learn more here.

At Stoke, we believe that a thriving space economy leads to a vibrant, sustainable, and equitable future here on Earth. That is why we are building our fully and rapidly reusable vehicle, Nova. It is designed to fly daily and solve the core challenges of space transportation - it reduces cost, increases availability, and enhances reliability. By radically lowering the cost and increasing the cadence of launch, we're able to create a truly scalable space industry. Our team is mission-driven, collaborative, and empowered with ownership of their work. If you want to work with some of the most dedicated and talented people on Earth, come join us. Description Reusable launch systems are the key to seamlessly connecting Earth and space. An instrumental ingredient to enabling a rapid launch cadence is the ability to make informed and automated decisions quickly and backed with high quality data. That is our goal for the data team at Stoke, our software empowers our engineers and provides them the ability to automate and improve the efficiency of their day-to-day tasks. As a Backend Data Platform Software Engineer on the Data Team, you will be responsible for contributing to the design and implementation of Stoke's backend service architecture for data. The ideal candidate will possess solid cloud and computer science fundamentals, experience in backend software development with an emphasis on delivering with quality. They also have the curiosity and desire to learn skills quickly and work collaboratively with a team. Responsibilities Implement and scale the infrastructure supporting Stoke's Data APIs, Infrastructure and Pipelines Design and develop robust solutions for monitoring, observability, and deployment of key data services Write maintainable code with unit, integration and end to end tests Collaborate with developers to ensure designs are implemented accurately and meet design specifications Contribute to excellence in operations including maintaining and improving our CI pipeline and independently supporting an on-call shift Learning and growing with new technologies and emerging trends Qualifications Bachelor's or Master's degree in Computer Science or related field / experience 3 - 5 years of experience in software development Professional experience with one or more systems programming languages (Python, Rust, Golang, etc) 2+ years of professional experience in Rust strongly desired Experience with core AWS services and infrastructure design including tools like EC2, S3, Fargate, Lambdas, and IAM Experience with Parquet and relational databases in analytics workflows Experience with high volume data pipelines and processing, specifically time series data and supporting technologies ( InfluxDB, TimescaleDB, etc ) Experience with infrastructure as Code tools, such as Pulumi or Terraform Benefits Equity- We are pleased to offer equity in the form of stock options to all regular, full-time employees. Comprehensive benefits program including subsidized medical, dental, and vision insurance Company-paid life and disability insurance 401(k) plan with employer match 4 weeks' Paid Time Off Holidays- 10 days (including an end-of-year closure) Paid Family/Parental Leave On-site gym or monthly wellness stipend (depending on location) Dog friendly offices! Compensation Level 2 Range: $123,480 - $185,220 Level 3 Range: $154,350 - $231,525 Level 4 Range: $192,885 - $289,380 Our job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis. Your actual level and base salary will be decided based on your specific experience and skill level. ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity The Company is an Equal Opportunity Employer, including with respect to disability and veteran status. It is committed to compliance with all equal opportunity laws, including the Immigration and Nationality Act (INA) and Title VII. It does not discriminate on the basis of nationality, race, citizenship, immigration status, or any other protected class when it comes to employment practices, including hiring. Employment at the Company is contingent upon satisfactory completion of reference and background checks, and on your ability to prove your identity and authorization to work in the U.S. for the Company. Employees must comply with the United States Citizenship and Immigration Services employment verification requirements, and, therefore, they must complete an Employment Eligibility Verification Form I-9 at the start of employment and re-verify authorization to work periodically. Separate from this I-9 process, this position entails access to certain technology and technical data that is restricted under U.S. export control laws and regulations. Employment or continued employment may be conditioned on your legal authorization to work with or have access to export control materials as necessary to perform your job. E-Verify Stoke Space uses E-Verify to confirm the identity and employment eligibility of all new hires.

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story:' https://www.hdrinc.com/our-story ' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. Primary Responsibilities In the role of Mid-Atlantic Data Center/Mission Critical Technical Team Lead, we'll count on you to build and lead a team of technical experts in data center design, support project delivery, and assist with marketing activities and pursuits with key clients in the Technology, Media, and Telecommunications (TMT) market sector. This role will help drive the success of our practice with leadership in the following areas: Technical Team Building and Leadership Attract and recruit engineering staff to serve as subject matter experts (SMEs) within our core and specialty disciplines for data center design projects. Assign work and monitor workload among the team SMEs. Coordinate staffing and workload with other data center design teams. Provide mentoring and opportunities for team growth and development. Project Management and Project Production Plan, direct, and monitor all aspects of large multi-discipline projects or medium-sized projects with a high degree of technical complexity. Oversee project delivery and effective implementation of the QA/QC program. Facilitate effective collaboration within project teams and eliminate hurdles and barriers to success. Support complex engineering projects in market sectors beyond TMT as called upon. Area Leadership Collaborate with local discipline leads on project staffing, project technical support, and project pursuits. Work with area business group leadership to implement process improvements, facilitate work sharing and assist in applying key staff/expertise to projects. Marketing and Client Relations Assist with proposal, fee preparation, and staffing for project pursuits. Assist the TMT leadership team with assessing and developing opportunities in the area and national marketplace as directed by market sector leadership. Perform other tasks to support the TMT market sector in the area as called upon by area and market sector leadership. Preferred Requirements Bachelor's degree 10-15 years of experiencing designing, delivering, and managing large, complex data center/mission critical projects. A licensed professional engineer with a background in mechanical, electrical, or structural design, or a project manager with PMP certification. Local to the Northern Virginia area. Active in industry and business associations / organizations. Excellent written and verbal communication skills #LI-BM1 Required Qualifications Bachelor's degree or equivalent experience A minimum of 7 years experience Professional registration, license or certification may be required based on role Strong communication and listening skills Ability to handle multiple assignments Good leadership and organizational skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ , People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

At AI Foundations, our mission is to unlock cutting edge player experiences through the power of ML and AI technologies. Within this space, the AI Foundry team partners with teams across Riot to accelerate the development and deployment of new machine learning & AI systems. We dive into diverse, high impact projects across Riot, and help take them from ideas to fully fledged features. As a Principal Data Scientist specializing in applied machine learning, you will lead the modeling strategy for our most ambitious applications of Game Understanding Agents in a deeply technical role. You'll elevate the technical standards in reinforcement learning, imitation learning, and simulation-based training for game AI by mentoring engineers on the ML Bots team. Your contributions to Riot's shared game AI frameworks will accelerate development across multiple games and you'll build strong cross-disciplinary partnerships to achieve these goals. You and your team will develop and deploy in-game Game AI capabilities that significantly enhance the player and developer experience, creating reusable training and evaluation pipelines for Game Understanding Agents that support multiple game genres and adapt to each title's unique constraints. You will support the team in combining modern ML with deep game domain knowledge to create autonomous agents that can play, understand, and adapt like real players. Responsibilities: Lead the modeling strategy for ML Bots across multiple games, focusing on training agents that can understand game state, make decisions, and act in ways that create compelling player experiences. Develop predictive features and signals from gameplay telemetry, unstructured game data, and simulation outputs, ensuring quality, interpretability, and reliability. Design and implement ML systems using methods including reinforcement learning and imitation learning (e.g., behavior cloning, inverse reinforcement learning), on-/off-policy algorithms, policy gradient methods, behavior shaping, and hybrid systems that combine learned policies with rule-based or scripted components. Define evaluation frameworks for game AI that balance generalizable approaches with genre-specific metrics, adapting methods for the needs of each title. Ensure the safety, fairness, and trustworthiness of autonomous agents operating in live player environments. Mentor senior and staff-level ML engineers in advanced ML for game AI and architectural decision-making. Collaborate with game and platform engineers, along with UX teams, to integrate models into production systems in ways that enhance player experience and maintain operational reliability. Represent the ML Bots team in multi-game forums and contribute to shared frameworks for autonomous agent development. Required Qualifications: Extensive experience (8+ years) delivering ML systems in production, including reinforcement learning, imitation learning, or simulation-based training in rich, interactive environments such as game worlds or multi-agent simulations. Proven ability to design modeling strategies and architectures adopted across multiple games or interactive products. Expertise in developing predictive features and signals from gameplay telemetry, simulation data, or other complex interactive environments. Strong track record building and optimizing agent-based systems or world models for dynamic, player-facing environments. Hands-on experience with relevant ML methods including reinforcement learning and imitation learning (such as behavior cloning and inverse reinforcement learning), on-/off-policy algorithms, policy gradient methods, behavior shaping, and hybrid systems that combine learned policies with rule-based or scripted components. Mastery of experiment design, model evaluation, and optimization for autonomous agents. Track record of incorporating human considerations into AI applications, such as responsible AI practices and human-computer interaction or UX best practices. Experience mentoring engineers and collaborating with cross-disciplinary teams. Familiarity with integrating ML-driven agents into live game environments with game and platform engineers. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you're working directly on a new player-facing experience or you're supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we're better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we're looking forward to your application. It's our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. This Sales Account Manager position for nVent Data Solutions offers a multifaceted blend of technical expertise and sales expertise, focusing on High Density Liquid Cooling (RDHX, CDU, Manifold) and intelligent PDU solutions for the Data Center market. You will engage with a diverse client base: End Users, Hyperscalers, MTDCs, Consultants, Contractors, and VARs throughout UK & I. You will be ideally located near Greater London to facilitate access to key decision-makers in the region! You'll be supported by an excellent technical team for solution design, quoting, and implementation support. This role requires regular customer meetings in the field, including occasional meetings outside normal business hours. The position involves approximately 50% travel within UK&I and occasionally to other European countries. A valid driver's license is required. Are you up for the challenge? Develop and implement a strategic sales plan for HDLC and iPDU solutions in the UK& I market Build and maintain positive relationships with end customers and channel partners. You will also create and manage a balanced pipeline of prospects and sales leads through our Salesforce CRM system. Provide technical consultation and solutions design for complex cooling requirements, and ensure collaboration with cross-functional teams to develop comprehensive data center solutions Demonstrate deep technical knowledge of liquid cooling technologies to address customer challenges Achieve defined sales targets and KPIs for opportunity pipeline, lead generation, new business development, and revenue goals Represent nVent at industry events, trade shows, and customer meetings. Monitor market trends, competitor activities, and customer feedback to inform sales strategies YOU HAVE: Bachelor's degree in Engineering: Electrical/ Electronic/ Mechanical/ HVAC or a business degree or equivalent experience within a technical environment Ideally 5+ years proven sales experience in DC, prior experience with data center cooling technologies, particularly liquid cooling solutions Track record of meeting or exceeding sales targets, by selling technical solutions to multiple types of customers In-depth understanding of data center infrastructure, particularly: High Density Liquid Cooling (HDLC) technologies and applications, Rear Door Heat Exchangers (RDHX), Coolant Distribution Units (CDU), Manifold systems, Intelligent Power Distribution Units (iPDUs), Thermal management solutions Understanding of both air and liquid cooling principles, as well as of hyperscaler, colocation, and enterprise data center requirements Knowledge of DC power systems and their integration with cooling solutions Familiarity with European DC trends Knowledge of energy efficiency metrics and sustainability considerations in cooling You are an excellent communicator in both written and spoken English, with strong presentation and negotiation abilities for technical and executive-level discussions! Ability to develop positive relationships in assigned accounts to assess trends/conditions and translate these into opportunities Proficiency with Salesforce.com or similar CRM systems Project management skills to coordinate complex solution deployment WE HAVE: A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at www.nvent.com. Commitment to strengthen communities where our employees live and work We encourage and support the philanthropic activities of our employees worldwide Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: Innovative & adaptable Dedicated to absolute integrity Focused on the customer first Respectful and team oriented Optimistic and energizing Accountable for performance Benefits to support the lives of our employees At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth. #LI-GS1 #LI-Remote #INDHPGS

Description:By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours. Lockheed Martin Aeronautics is seeking an Early Career Data Engineer. In this role, you will perform analysis and data trending for aircraft systems. Create algorithms to find patterns in historical part removals and project impending part failures. Conduct root cause investigations and support corrective action planning to enhance system reliability. Evaluate conceptual and advanced designs for reliability performance and recommend improvements to optimize design efficiency. Analyze supplier repair data and aircraft field data to calculate, track, and present aircraft performance metrics. Create clear, compelling data visualizations to communicate trends and support engineering decisions. Identify and recommend process improvements that increase team effectiveness and streamline analysis workflows. Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access. Basic Qualifications: Bachelor's degree in computer engineering or aeronautical engineering. Coursework in Python, Time Series Data, Machine Learning, Deep Learning, Data Correlation and Verification, and Interpretable Artificial Intelligence. Experience in manipulation/analysis of data in spreadsheets (MS Excel Formulas, Pivot Tables, and/or VBA). Experience in formal presentation development, PowerPoint construct and delivery, and working in a team environment. Desired Skills: Strong math background, with emphasis on statistical data analysis. Ability to perform detail-oriented work with a high degree of accuracy and quick delivery. Ability to apply statistical methods to analyze time series data including design of experiments, regression analysis, and hypothesis testing. Ability to develop and implement statistical models to predict outcomes of time series data. Experience using Python. Experience with Artificial Intelligence/Machine Learning (AI/ML). Bachelor's degree in Industrial Engineering or Electrical Engineering or a STEM discipline. Experience in using databases and/or visualizations (MS Access, HANA, Tableau, or SQL/Oracle). Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: 4 yr and up College Business Unit: AERONAUTICS COMPANY Relocation Available: Yes Career Area: Systems Engineering: Specialty Engineering Type: Full-Time Shift: First

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Position Overview: The Site Data Leader will have primary responsibility for data management activities within the Lilly Kenosha County (LKC) site. The Site Data Leader is an advocate for data management across the manufacturing site and chairs the site data lead team. The Site Data Leader ensures a robust Data Integrity Program exists and is maintained within the site providing strong project management leadership to advance the site's agenda. This requires interface with the M&Q Data Management organization, serving as a global data management subject matter expert to facilitate and drive improvements in M&Q data-related corporate quality standards, business processes, organizational design, and governance necessary for ongoing data integrity effectiveness. This role will partner with functional area data experts to anticipate and resolve key data management and integrity issues while driving solutions that impact the site and align with corporate objectives. The Associate Director, Quality Assurance, will also provide computer system quality assurance oversight during the start-up and routine operation of the Lilly Kenosha County site. In addition, this role will transition to a site-based data management and analytics leader role for routine production. This role will leverage a deep understanding of GMP data flows (electronic and paper), the application of data management and integrity principles in operational processes, and Computer System Validation methodologies to ensure regulatory compliance, consistency, and sustainment. The Site Data Leader is responsible for ensuring education and continuous knowledge on data integrity and data management at the site. This role influences improving data management standards to ensure consistency and consumability of data to drive process improvements. This role ensures compliance and inspection readiness of the data integrity and data management program at the site level. The Site Data Leader is responsible for ensuring the site's data integrity training program facilitates the sustainment of its data integrity continuous improvement journey. The Site Data Leader reports to the Site Quality Leader and has dotted-line accountability to Global Data Management leadership. This is an individual contributor role with responsibility for technical leadership, as well as project management. Responsibilities: The Site Data Leader will have primary responsibility for data management activities within the Lilly Kenosha County (LKC) site. The Site Data Leader is an advocate for data management across the manufacturing site and chairs the site data lead team. The Site Data Leader ensures a robust Data Integrity Program exists and is maintained within the site providing strong project management leadership to advance the site's agenda. This requires interface with the M&Q Data Management organization, serving as a global data management subject matter expert to facilitate and drive improvements in M&Q data-related corporate quality standards, business processes, organizational design, and governance necessary for ongoing data integrity effectiveness. This role will partner with functional area data experts to anticipate and resolve key data management and integrity issues while driving solutions that impact the site and align with corporate objectives. The Associate Director, Quality Assurance, will also provide computer system quality assurance oversight during the start-up and routine operation of the Lilly Kenosha County site. In addition, this role will transition to a site-based data management and analytics leader role for routine production. This role will leverage a deep understanding of GMP data flows (electronic and paper), the application of data management and integrity principles in operational processes, and Computer System Validation methodologies to ensure regulatory compliance, consistency, and sustainment. The Site Data Leader is responsible for ensuring the education and continuous knowledge on data integrity and data management at the site. This role influences improving data management standards to ensure consistency and consumability of data to drive process improvements. This role ensures compliance and inspection readiness of the data integrity and data management program at the site level. The Site Data Leader is responsible for ensuring the site's data integrity training program facilitates the sustainment of its data integrity continuous improvement journey. The Site Data Leader reports to the Site Quality Leader and has dotted-line accountability to Global Data Management leadership. This is an individual contributor role with responsibility for technical leadership, as well as project management. Key Objectives/Deliverables Develop and maintain a comprehensive and integrated data integrity and data management program: Facilitate the Site Data Lead Team Partner with global and site leadership to ensure data integrity initiatives are given appropriate priority and cross functional resources. Partner with functional site data subject matter experts (SMEs) to ensure that data management actions are completed in accordance with established plan. Ensure completion and maintenance of Data Flow Maps as applicable to identify data integrity risks and define mitigation strategies. Ensure programs are in place to facilitate and support data integrity improvements to documents, systems, and processes (e.g., audit trail reviews, user access, walk-throughs, Site Self Inspection). Implement defined data standards (e.g., data structure, metadata) and usage guidelines as information passes through multiple systems / functions and ensure processes are in place to manage the data throughout its lifecycle. Implement data strategy actions (e.g., digitization, contextualization, visualization) to enable appropriate use of data at the appropriate time to enable robust decision making, drive productivity, and facilitate continuous improvement. Lead initiatives related to data integrity and data management for GMP information at the site: Own site actions associated with the enterprise data management and integrity initiatives. Maintain site data management metrics and track status of the data integrity action plans; report the status to the Site Data Lead Team. Provide direction on the operationalization of the data management action plan including the transition from paper-based processes to digitized solutions. Own the responsibility for enhancing and sustaining data management and integrity principles throughout the data lifecycle. Own the development, maintenance, and be accountable for the implementation of the site Data Integrity Strategy Ensure continuous professional development, education, training and knowledge transfer of data integrity and data management principles: Participate in the design and delivery of learning opportunities for personnel with the purpose of strengthening the global M&Q Quality Culture as it relates to data management and integrity. Provide training, coaching, feedback, and mentoring to personnel on data management and integrity principles and regulations. Ensure compliance and inspection readiness of the data integrity and data management program at the site level: Coach individuals on inspection interactions. Lead preparation of data integrity and data management topics for audit and inspection readiness. Network with other sites and central groups to understand external and company trends and develop internal improvement plans. Ensure inspection readiness for regulatory authority inspections and effectively represent the company during regulatory audits through interaction / discussion with regulatory officials related to data integrity expertise in areas as necessary. Ensure compliance with applicable Lilly global standards and regulatory guidelines. Participate in data management and integrity assessments of current-state practices, procedures, system functionality, including but not limited to physical and logical security, Electronic Records / Electronic Signatures (ER / ES), audit trails, data mapping, records / data backup, archive and retention, computer system validation, infrastructure qualification, investigation, and training programs. Act as site liaison and representative for the data integrity and data management program. Serve as the site liaison with the Global Data Management organization forming the data community of practice; provide feedback to the global organization for opportunities or concerns. Serve as a global data management subject matter expert to facilitate and drive improvements in M&Q data-related corporate quality standards, business processes, organizational design, and governance necessary for ongoing data integrity effectiveness. Utilize site data management expertise to solve problems both locally and across global M&Q. Act as the Computer systems validation quality assurance project lead, working with Global Facility Delivery and Lilly project staff to complete the detailed design of the assigned areas employing QbD and QRM principals and ensuring the integration of Global Quality System requirements into the design. Responsibilities include: Consult with Network and Global quality groups including the Global Quality Systems, Information Systems Quality, and Global Data Management as required to ensure consistent and compliant approach is executed during the project and startup phase Provide technical and quality review and approval of project computer system documents to ensure compliance with Lilly Global Quality Standards as well as project and local quality procedures, including review of test cases, test execution, discrepancy resolution, etc. Work with the Associate Director, Quality - Compliance, to support the development of the vision and strategy for the overall site quality operation with focus on the CSQA topics Support the site organization in building technical capability, for a diverse cross-functional staff in Quality, the project team, and area process teams, including mentoring of new Quality and other project staff Lead project initiatives needed in support of the project and Quality function Resolve or escalate any compliance issues to the project, site, and Quality Management Participate in self-led inspections and provide support during internal/external regulatory inspections Ensure data integrity by design Leverage technology to ensure data digitalization and standardization where appropriate Design, replicate and employ analytics and advanced analytics for competitive advantage within the site Basic Requirements: Bachelor's degree required; engineering or computer science-related field preferred Minimum 5 years working in the pharmaceutical or medical device industry in QA roles Minimum 3 years of experience in Computer System Quality Assurance/Computer System Validation Minimum 3 years of experience with data analytics including advanced analytics Additional Skills/Preferences: Demonstrated successful leadership of cross-functional teams and project management experience Demonstrated proficiency with GMP computer systems validation including regulations governing them Demonstrated knowledge and application of data integrity regulatory guidance Proven ability to apply analytics and advanced analytics for competitive advantage within a manufacturing operation Demonstrated strong oral and written communication Strong self-management and organizational skills Demonstrated strong interpersonal interaction skills and ability to influence cross-functional organizations Demonstrated strong technical writing skills Demonstrated strong problem-solving and decision-making skills Has previous facility or area start up experience Has previous qualification and validation experience (process automation and/or IT systems) Has previous Six Sigma Green Belt or Lean Training/Experience Has CQA certification from the American Society for Quality (ASQ) - preferable Additional Information: Position requires onsite presence with flex time available Ability to work overtime as required Ability to travel up to 10% This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. For GMP purposes, the job description should be updated for significant changes. As always, you should consult with your supervisor regarding your actual job responsibilities and any related duties that may be required for the position. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $111,000 - $178,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Industry/Sector Health Services Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Epic consulting at PwC, you will specialise in providing consulting services for Epic software solutions. Your work will involve possessing in-depth knowledge of Epic applications and assisting clients in optimising operational efficiency through analysis, implementation, training, and support. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Epic Consulting team, you will design, install, maintain, troubleshoot, and enhance database instances for a modern healthcare IT ecosystem. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain standards while building meaningful client connections. This role offers the chance to work with innovative technologies and contribute to impactful solutions that improve healthcare delivery. Responsibilities Design and enhance database instances for healthcare IT systems Troubleshoot and maintain operational databases across various environments Mentor junior team members to enhance their technical skills Evaluate and integrate new database versions and hardware Provide technical guidance during system migrations and transitions Collaborate with stakeholders to secure system performance and reliability Analyze complex issues to develop practical solutions Uphold rigorous standards of quality in every deliverable What You Must Have Bachelor's Degree At least 4 years of experience in database management Epic ODBA, Epic ECSA, Data Courier Certification, and/or Chronicles Certification What Sets You Apart Bachelor's Degree in Health Administration, Business Administration/Management preferred Experience with cloud services and security infrastructure Managing and optimizing database instances and applications Communicating technical issues in simple terms Demonstrating innovative problem-solving skills Providing mentorship and team leadership Prioritizing workloads and managing multiple projects Knowledge of patient care databases and financial applications Skilled in database administration and integration 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. The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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

About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT, API, Sora), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive in this role if you have: 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python Defined, implemented, and operationalized new feature and product-level metrics from scratch Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike Strategic insights beyond the paradigm of statistical significance testing You could be an especially great fit if you have: Strong programming background, with ability to run simulations and prototype variants Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR) Demonstrated prior experience in NLP, large language models, or generative AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Cubist: Cubist Systematic Strategies is one of the world's premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Please send CVs to kepl-talent@cubistsystematic.com with "2025 KEPL DE Application" in the subject line. Role: We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading. Responsibilities: Improve data ETL pipeline and build tools to analyze new data efficiently. Build technologies to bolster research & trading efficiency. Expand to new markets and asset classes. Manage day-to-day operations in a fast-paced environment. Requirements Master/PhD degree in math, computer science, engineering, or other related fields. 1-3 years of professional experience in software development or data science/analytics. Strong combination of quantitative skills and programming skills. Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus. Familiarity with the Linux environment. Excellent written and verbal communication skills. Willing to work in a fast-paced start-up environment. Commitment to the highest ethical standards.

Job Description Senior Data Engineer Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Data Engineer to join our growing data engineering team. You'll work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle. You will craft and develop curated data products, applying standard architectural & data modeling practices to maintain the foundation data layer serving as a single source of truth across Zendesk . You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform. What you get to do every single day: Collaborate with team members and business partners to collect business requirements, define successful analytics outcomes and design data models Serve as Data Model subject matter expert and data model spokesperson, demonstrated by the ability to address questions quickly and accurately Implement Enterprise Data Warehouse by transforming raw data into schemas and data models for various business domains using SQL & dbt Design, build, and maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reporting using Airflow, Fivetran & dbt Optimize data warehousing processes by refining naming conventions, enhancing data modeling, and implementing best practices for data quality testing Build analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains Build and Promote best engineering practices in areas of version control system, CI/CD, code review, pair programming Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery Work with data and analytics experts to strive for greater functionality in our data systems What you bring to the role: Basic Qualifications 5+ years of data engineering experience building, working & maintaining data pipelines & ETL processes on big data environments 5+ years of experience in Data Modeling and Data Architecture in a production environment 5+ years in writing complex SQL queries 5+ years of experience with Cloud columnar databases (We use Snowflake) 2+ years of production experience working with dbt and designing and implementing Data Warehouse solutions Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams. Intermediate experience with any of the programming language: Python, Go, Java, Scala, we primarily use Python Integration with 3rd party API SaaS applications like Salesforce, Zuora, etc Ensure data integrity and accuracy by conducting regular data audits, identifying and resolving data quality issues, and implementing data governance best practices. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Preferred Qualifications Hands-on experience with Snowflake data platform, including administration, SQL scripting, and query performance tuning Good Knowledge in modern as well as classic Data Modeling - Kimball, Innmon, etc Demonstrated experience in one or many business domains (Finance, Sales, Marketing) 3+ completed "production-grade" projects with dbt Expert knowledge in python What does our data stack looks like: ELT (Snowflake, Fivetran, dbt, Airflow, Kafka, HighTouch) BI (Tableau, Looker) Infrastructure (GCP, AWS, Kubernetes, Terraform, Github Actions) The US annualized base salary range for this position is $151,000.00-$227,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives. Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager. The intelligent heart of customer experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week. As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022," "Forbes Next Billion-Dollar Startups 2024," and Y Combinator's #1 GovTech startup. About the Role At Promise, we're harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you'll experiment with and apply cutting-edge AI-from traditional ML models to the latest LLMs-to power applications that help families access essential services with dignity. You'll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You'll Do Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail-oriented, rigorous, and adaptable-comfortable navigating a high-impact, evolving environment. Mission alignment: Passion for Promise's work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at Promise You'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission-driven, ambitious, and direct. You believe efficiency means "doing less." We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.

Do you feel exited about taking a strategic product from launch to go to market at scale across the world's largest customers? NVIDIA is searching for a skilled Solutions Architect to drive the collaborative effort of achieving Hyperscalers scale up for our innovative data center offerings. As part of the NVIDIA Solutions Architecture team, you will navigate uncharted waters and gray space to drive successful market adoption by balancing strategic alignment, data-driven analysis, and tactical execution across engineering, product, and sales teams. You will serve as a critical liaison product strategy and large-scale customer deployment. What you'll be doing: Lead the end-to-end execution for key Hyperscalers customers to optimally and rapidly go-to-market at scale with NVIDIA data center products (e.g., GB200). Partner with Hyperscalers Product Customer Lead to understand strategy, define metrics, ensure alignment. Data-Driven Execution: Collect, maintain, and analyze sophisticated data trends to assess the product's market health, identify themes, challenges, and opportunities, and guide the customer to resolution of technical roadblocks. Problem Solving & Navigation: Navigate complex issues effectively, embodying a productive leader who balances short-term unblocks with long-term process and product improvements. Executive Communication: Deliver concise, direct executive-level updates and regular status communications to multi-functional leadership on priorities, progress, and vital actions. Process Improvement: Integrate insights from deployment challenges and customer feedback into future developments for processes and products through close partnership with Product and Engineering teams. What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. 8+ years of combined experience in Solutions Architecture, Technical Program Management, Product Management, System Reliability Engineer or other complex multi-functional roles. Proven track record to lead and influence without direct authority across technical and business functions. Proven analytical skills with experience in establishing benchmarks, collecting/analyzing intricate data, and redefining data into strategic themes, action items, and executive summaries. Skilled in reviewing logs and deployment data, and aiding customers in resolving technical concerns (e.g., identifying performance issues associated with AI/ML and system architecture). Ways to stand out from the crowd: Lead multi-functional teams and influence interested parties to address challenges in customer datacenter deployments, ensuring cluster health and performance at scale. Established track record of driving a product from the pilot phase to at-scale deployment in a data center environment. Hands-on experience with NVIDIA hardware (e.g., H100, GB200) and software libraries, with an understanding of performance tuning and error diagnostics. Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes, and their relationship to data center deployments. Confirmed capacity to align, adopt, and disseminate insights among various internal teams (e.g., collaborating with other program leads). NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.

About GenScript GenScript Biotech Corporation (Stock Code: 1548.HK) is a global biotechnology group. Founded in 2002, GenScript has an established global presence across North America, Europe, the Greater China, and Asia Pacific. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy. GenScript is committed to striving towards its vision of being the most reliable biotech company in the world to make humans and nature healthier through biotechnology. About ProBio ProBio proactively provides end-to-end CDMO service from drug discovery to commercialization with proactive strategies, professional solutions and efficient processes in cell and gene therapy, vaccine, biologics discovery and antibody protein drug to accelerate drug development for customers. ProBio's total cell and gene therapy solution covers CMC of plasmid and virus for IND filing as well as clinical manufacturing and commercial manufacturing. We are seeking a Warehouse Data Operations Specialist to perform on-site warehouse operations and data management functions under departmental SOPs and supervisor guidance. This role requires dual expertise in modern warehouse data systems and hands-on operational skills, optimizing receiving, issuing, and inventory processes to drive departmental digitalization, visualization, and data-driven development. Location: Piscataway, NJ Employment Status: Full Time Reports to: Warehouse Manager The estimated salary range is $60,000 - $65,000, based on experience. Job Responsibilities: Execute daily SAP/WMS system operations for raw materials and finished goods (inbound/outbound). On-site coordination: Monitor warehouse activities, ensuring alignment between physical operations and system data. Troubleshoot and document operational/data discrepancies; provide structured feedback. Maintain and audit SAP/WMS master data. Organize and archive physical/electronic documentation for compliance. Generate and analyze warehouse KPIs (daily/monthly reports on inventory accuracy, turnaround time, etc.). Act as a liaison between warehouse teams and production departments for urgent material requests. Participate in cycle counts and year-end inventories; reconcile system vs. physical stock. Qualifications: Education & Experience: Associate degree or higher in Logistics, Supply Chain, or related field. 2+ years in warehouse data operations (manufacturing/biopharma preferred). Dual competency: Proven experience in both system management (SAP/WMS) and on-site warehouse operations. Technical Skills: Advanced proficiency in SAP/WMS and MS Office (Excel pivot tables, macros). Familiarity with warehouse automation tools (e.g., barcode scanners, RFID). Bilingual (Chinese/English) is a plus - ability to interpret system manuals or communicate with global teams. Soft Skills: Analytical mindset: Capable of translating operational issues into data solutions. Detail-oriented: Ensures 100% alignment between system records and physical stock. Adaptability: Thrives in a hybrid role bridging IT systems and frontline operations. Hardworking and resilient under pressure #LI-EB1 #GS GenScript USA Inc/ProBio Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is the Company's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. GenScript USA Inc./ProBio Inc. maintains a drug-free workplace. Please note: Genscript USA Inc./ProBio Inc. will only contact candidates through verified application sources. GenScript/Probio does not request personal information from candidates through individual email or any other platform.

Work Your Magic with us! Start your next chapter and join EMD Serono. Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe. This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US. Your role: We are seeking an innovative and inspiring Team Head of Real-World Data (RWD) Methodologies and Solutions to lead a team of experts driving excellence in RWD strategy, partnerships, methodologies, advanced analytics, real-world insights (RWI) and real-world evidence (RWE). Reporting to the Global Head of Patient Focused Real World Evidence (PRWE) as a member of the leadership team, you will play a key role in shaping the strategic use of RWD across therapeutic areas to enhance decision-making and enable value-creating integrated evidence plans. This position offers a unique opportunity to influence the future of evidence generation and contribute to the development of innovative therapies that transform patient outcomes globally. Key Responsibilities: Strategic Vision and Implementation: Develop and execute a forward-thinking strategy to leverage RWD for faster, more precise insights and evidence generation, aligning with organizational objectives. RWD Partnerships: Identify, negotiate, and manage external partnerships to support RWD acquisition, integration, and operationalization, ensuring scalability and regulatory alignment. Methodological Leadership: Establish and implement best practices for generating actionable RWI (Insights) and RWE (Evidence) using state-of-the-art methodologies and analytics including machine learning and AI. Solution Development: Drive the creation of innovative tools and platforms that streamline evidence generation while adhering to compliance and quality standards. Training and Capacity Building: Lead cross-functional training programs to enhance organizational capabilities in leveraging RWD, fostering innovation and adaptability. Cross-Functional Collaboration: Partner with PRWE, CMS, R&D and broader Healthcare teams to ensure integrated and high-quality RWD support across programs. Team Leadership: Recruit, develop, and manage a high-performing team of experts, fostering a culture of excellence, collaboration, and continuous learning. External Engagement: Represent the organization at industry conferences, regulatory workshops, and external collaborations to advance RWD methodologies and applications. Who you are Minimum Qualifications PhD in Epidemiology, Biostatistics, Data Science, or related fields. 12+ years of experience in RWD partnerships, methodologies, RWE generation, and advanced analytics and systems in pharmaceutical or healthcare settings. Proven leadership in managing teams and fostering cross-functional collaboration. Expertise in statistical programming (e.g., R, SAS, Python) and working with diverse RWD sources, including EHRs, claims data, and patient-reported outcomes. Strong understanding of regulatory, payer and HTA bodies requirements and industry standards for RWD and RWE. Excellent strategic, problem-solving, and communication skills with the ability to influence diverse stakeholders. Demonstrates a commitment to excellence through collaboration, adaptability, and attention to detail while meeting time-sensitive demands. Preferred Qualifications Enhance RWD applications for hybrid and innovative studies. Develop methodologies and frameworks for RWE synthesis to support regulatory and payer requirements. Lead efforts to improve data interoperability and integration across diverse RWD sources. Pay Range for this position: $234,800 - $352,200 The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here. Direct link to benefits site if the hyperlink no longer works: https://careers.emdgroup.com/us/en/benefits ]. What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

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 Senior Principal Software Engineer, Data Architecture Overview: Mastercard's Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercard's enterprise data architecture. This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this engineer will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. The Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. Role: Data Architecture Strategy & Execution Lead the design and execution of Mastercard's enterprise data architecture across a complex, global ecosystem. Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR). Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units. Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems. Champion adoption of modern data principles including Data Mesh, data products, and federated governance. Governance, Alignment & Agile Integration Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains. Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards. Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration. Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums. Cross-Functional Leadership & Mentorship Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling. Act as a trusted advisor to business, product, and engineering leaders-bridging technical strategy with enterprise priorities. Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. All About You: Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy. Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift. Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP). Knowledge of Data Mesh principles, federated governance, and data product lifecycle management. Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models. Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking. Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates. Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. Strong executive presence with the ability to translate complex architecture concepts into business language. Experience mentoring and leading global, cross-functional teams of high-performing technical talent. Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 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 and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. 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 of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USD Boston, Massachusetts: $230,000 - $368,000 USD Miami, Florida: $200,000 - $320,000 USD Purchase, New York: $230,000 - $368,000 USD

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior 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. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model 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 9 year(s) Preferred Knowledge/Skills Demonstrates intimate-level abilities with, and/or a proven record of success directing efforts in the majority of the following areas: Managing development teams in building of GenAI solutions, including but not limited to prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back end integration, and iterative development with clients; Leading a team to document and analyze business processes for Generative AI opportunities, including gathering of requirements, creation of initial GenAI hypotheses, and development of GenAI solution approach; Collaborating with client team to understand their business problem and select the appropriate models and approachesÊfor GenAI use cases; 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; Directing architects to design and solution GenAI architectures for clients, specifically for plugin based solutions (i.e., ChatClient application with plugins) and custom GenAI application builds; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps; Managing associates and senior associates through coaching, providing feedback, and guiding work performance; Leading business development activities for clients, including but not limited to facilitating the sales cycle of GenAI proposals; and, Leading internal asset development to build foundational GenAI practice. Demonstrates intimate level 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, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev; Possessing hands on experience with Azure, AWS, and / or Google Cloud platforms; Demonstrating experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.; and, Delivering successful technology creation, functional code, AI solutions and Data 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: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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 A GLANCE RVO Health is looking for an experienced data analytics professional to join our Weight and Wellness Data Analytics team. In this role you will manage high-priority data projects and shape the overall data strategy for our different weight and wellness businesses. You will be responsible for scoping technical projects, building relationships with stakeholders to best support the business, manipulating and analyzing data, and mentoring other data analysts within the organization. The ideal candidate will have the skills to support data projects end-to-end, inclusive of tracking, architecture, modeling, visualization, reporting, and doing in-depth analysis to inform business strategy. Beyond their technical proficiency, they will also be organized, quick and eager learners, excellent communicators, independent problem-solvers, and phenomenal team players. Where You'll Be To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees to work from our Denver office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. 1801 California St. Denver, CO 80202 What You'll Do Manage business-critical technical projects end-to-end. Conduct analyses, build scalable analytics infrastructure and dashboards, create reports, and enable our business partners and clients to best make decisions using our data. Partner with business leaders to work effectively across multiple technical teams to solve problems. You'll play a pivotal role in building a positive culture across different areas of the organization. Autonomously leverage an advanced analytical toolkit, executing complex analyses, visualizations and storytelling. Amplify your influence by driving development of junior team members through mentorship and coaching on both technical skills and strategic business skills. Interact with senior leadership to provide data driven recommendations to executives to help shape Weight and Wellness strategy. What We're Looking For Strong interpersonal and communication skills, with experience working well with business stakeholders Demonstrated ability to synthesize data into actionable insights and communicate recommendations to leadership Experience with visualization tools such as Looker (strongly preferred), Tableau or PowerBI to build dynamic/scalable dashboards and reports Strong proficiency in both SQL and Python; proficiency with Snowflake and DBT specifically is a plus. Eagerness to learn and become an expert source of knowledge on a particular subject - will be a valuable asset to bring into any conversation because they have a strong pulse on how many aspects of the organization work. Excited and involved in the growth of those around them and motivated to make them great. Invested in the strategic vision of more than just the analytic function. They can methodically understand business context and can clearly articulate the "why" behind any proposed solutions to the data team. Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements. Starting Salary: $100,000 - $135,000* Note actual salary is based on qualifications and experience Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Pharmacy Benefits Income Protection Plans Pet Services Plans Mental Health Support Wellness Coaching HSA- Health Savings Account Commuter Benefits Gym & Fitness Center Discount Program Who We Are: Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group's Optum Health. Together we're focused on delivering on our vision of a stronger and healthier world. RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, Optum Store and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com. We do not provide visa sponsorship for this role at this time. #LI-Hybrid