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

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Teammate reports to the Chief Architect for Core Technology. They will focus on system architecture elements consumed enterprise-wide with a focus on the operational data elements of technical infrastructure required to accelerate hybrid cloud transformation. Leads in the development of enterprise architecture principles, patterns, standards, and practices for operational data products and their incorporation into infrastructure platforms and utilization by the application portfolio as well as adherence to those practices. Partners closely with operational data Product Line Executive in the architecture, design, and stakeholder management of CIO level cross-functional delivery teams (Tech Delivery and Operations, Business, Risk, Cyber, Data) as well as support organizations (HR, finance, etc.) to drive product innovation & optimization to ensure the delivery of secure resilient application consumable solutions to the customer. Applies advanced knowledge of banking technology and IT architecture principles to identify and evaluate alternatives across the constantly evolving landscape of operational data architectures and solutions. Leads the selection of methodologies, tools, and components for the operational data elements of total IT solutions. The successful Operational Data Enterprise Architect: Provides guidance and support for solution architects on the implementation of operational data within complex architectural patterns on a variety of multi-platform systems; Develops operational data architecture plans and reviews cost and feasibility of alternatives while ensuring the plan supports the strategic needs of the company; Interprets internal/ external business challenges and recommends best practices on selecting and adopting operational data solutions; Uses sophisticated analytical thought to exercise judgment and identify innovative solutions; Designs strategies for enterprise online transactional processing (OLTP) databases; Sets standards for database operations, programming, query processes, and security; Contributes to the model, design, and construction of large relational and non-relational databases in traditional distributed and cloud native environments; Creates and optimizes data models for performance and functionality. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Top down operational data centered infrastructure architecture roadmap development and design with focus on enabling software defined infrastructure implementation, provisioning and consumption, along with collaboration with infrastructure and application technology leaders and risk partners to refine and instantiate a hybrid cloud strategy reflecting corporate objectives/strategy and risk appetite Architect cross-cutting enterprise infrastructure solutions that span across multiple CIOs and domains and across the spectrum of operational data technologies Provide thought leadership based on hands-on experience in the development and modernization of operational data technology standards enabling modern approaches to technology resiliency Set, adapt, and instantiate strategic direction for operational data technology infrastructure in alignment with the Business Strategy and Technology standards and provide thought leadership in the development of an enterprise strategic IT plan. Maintain a high level of awareness and understanding of existing and emerging operational data technologies, as well as industry and bank issues, to effectively match them. End to end accountability to review and approve design solutions that are fit-for-purpose in meeting the business needs of the enterprise while continuing the evolution of the technology landscape Lead or "jump start" operational data centric initiatives deemed critical to and Truist's technology services Provide thought leadership in new technology innovation, incubation, introduction and implementation critical to Truist's technology and business strategy roadmaps and ongoing success Develop and document operational relational and non-relational database architectures. Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements and translate into implementable database solutions. Develop database architectural strategies at the modeling, design, and implementation stages to address business or industry requirements. Design databases to support business applications, ensuring system scalability, security, performance, and reliability. Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure. Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs. Create and enforce database development standards. Identify and evaluate industry trends in database systems. Demonstrate database technical functionality, such as performance, security, and reliability. Design load-balancing processes to eliminate down time for backup processes. Identify, evaluate, and recommend hardware or software technologies to achieve desired database performance. Identify and correct deviations from database development standards. Develop data models for applications, metadata tables, views, or related database structures. Document database schemas, using accepted notations. Develop data models describing data elements and their use. Plan and install upgrades of database management system software to enhance database performance. Test programs or databases, correct errors, and make necessary modifications. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in Computer Science, Information Technology, Business, or related field Twenty (20) years of architecture/design/delivery experience which includes fifteen (15) years of enterprise architecture experience or twenty years' solution architecture experience in technology and security, and ten years of banking/financial business domain Comprehensive experience with various architectural domains including infrastructure and complementary domains such as application, data, and integration Strong analytical and broad architectural skills Strong verbal and written communication skills Strong negotiation/facilitation skills Significant knowledge of current and emerging architecture principles, methodologies and tools Experience as negotiator with vendors for relevant products and services Demonstrated competency in strategic thinking with ability to differentiate feasible from academic solutions Demonstrated thought-leadership skills with the ability to translate high-level business planning information into application needs/solutions Demonstrated proficiency in basic computer applications, such as Microsoft Office software products Ability to travel, occasionally overnight Preferred Qualifications: Relational Database management system software- Microsoft SQL Server; PostgreSQL; IBM DB2; Oracle; AWS DynamoDB; AWS Aurora; Azure Cosmos DB; Couchbase No SQL Database- MongoDB; AWS DynamoDB Configuration management software- Terraform; Red Hat Ansible Engine Database schema automation- LiquidBase Database replication- MS SQL Server Always On; Pacemaker; Tivoli System Automation; Oracle Data Guard; Rubrik Data integration- Microsoft SQL Server Integration Services (SSIS) Business intelligence and data analysis software- Microsoft SQL Server Analysis Services (SSAS); Microsoft SQL Server Reporting Services (SSRS); Microsoft Power BI General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

About Working at Commerce Building a career here is more than just steps on a ladder. It's about helping people find financial safety and success, helping businesses thrive, and making sure people and their money are taken care of. And our commitment doesn't stop there. Our culture is about our people, the ones in our communities and the ones that work with us. Here, you'll find opportunities to grow and learn, to connect with others, and build relationships with the people around you. You'll have the space and resources to grow into the best version of yourself. Because our number one investment is you. Creating an award-winning culture doesn't come easy. And after 160 years, we know Commerce Bank is only at its best when our people are. If this sounds interesting to you, keep reading and let's talk. Compensation Range Annual Salary: $91,000.00 - $107,000.00 (Amount based on relevant experience, skills, and competencies.) About This Job The main purpose of this job is to oversee a team of Data Analysts and Financial Analysts by coaching and developing team members to drive strategic data initiatives across the Commercial Payments line of business. Essential Functions Lead and develop a high-performing analytics team, fostering a culture of innovation, accountability, and continuous improvement Present actionable data and financial insights and recommendations to senior leadership and key stakeholders within the bank Partner with senior leadership and cross-functional stakeholders to identify and prioritize strategic opportunities where analytics can drive business growth and operational efficiency Establish and champion best practices for data analysis, reporting, and project execution, ensuring consistency and scalability across the team Drive transformation and efficiency through the implementation of advanced analytics tools, automation, and modern data workflows Oversee the collection, cleaning and validation of data from multiple sources to ensure accuracy for use in business line decision making Manage and oversee existing reporting infrastructure including automated Power BI dashboards as well as future state solutions to support business line decision making Knowledge, Skills & Abilities Required Strong background in data analytics, statistics or a related field, with proven experience in a leadership or supervisory role Strong collaborator and team builder, with a commitment to developing talent and fostering a data-driven culture Proficient in data visualization and reporting tools such as Power BI and Tableau, with strong SQL skills and experience working with relational databases (e.g., Teradata, Databricks, Microsoft Access) Intermediate knowledge of financial statements Strategic thinker with the ability to align analytical insights to business objectives and drive data-informed decision-making Excellent problem-solving skills, with the ability to grasp technical project requirements and proactively identify inefficiencies, errors, and process improvement opportunities Demonstrated ability to lead change, identify inefficiencies, and implement process improvements across teams and system Exceptional communication skills, with the ability to influence and advise senior leaders and non-technical stakeholders Strong critical thinking and sound judgment, with the ability to make effective decisions in a fast-paced environment Ability to drive results and balance management of organizational risk and meeting goals of the business Motivated and organized self-starter with strong attention to detail and the ability to manage multiple priorities at once Ability to remain adaptable and resilient to all situations with an optimistic outlook and cast a positive shadow that is aligned with our culture and Core Values Intermediate level proficiency with Microsoft Word, Excel, Teams, Microsoft Access, VBA, SQL and Outlook Education & Experience Bachelor's degree or equivalent combination of education and experience required 5+ years' experience in finance, data analytics, mathematics or other financial related field required 5+ years' experience managing or working with relational databases required 1+ years' leadership/supervisory experience required. Hybrid Schedule: In office 2-3 days per week For individuals applying, assigned and/or hired to work in areas with pay transparency requirements, Commerce is required by law to include a reasonable estimate of the compensation range for some roles. This compensation range is for the Team Lead, Data Management - Commercial Payments job and contemplates a wide range of factors that are considered in making compensation decisions, including but not limited to location, skill sets, education, relevant experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for any applicable differentials (geographic, bilingual, or shift) that could be associated with the position or where it is filled. At Commerce, compensation decisions are dependent on the facts and circumstances of each situation. A reasonable estimate of the current base pay is $91,000 to $107,000 annually. #LI-Hybrid The candidate selected for this position may be eligible for the following employment benefits: employer sponsored health, dental, and vision insurance, 401(k), life insurance, paid vacation, and paid personal time. In addition, we offer career development, education assistance, and voluntary supplemental benefits. Click here to learn more. Location: 1000 Walnut St, Kansas City, Missouri 64106 Time Type: Full time

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation. About the role: As a Data Engineer, your job is to facilitate data analytics and measurement at scale at Replit. You'll work with product and business teams to help build data pipelines and transformations to enable us to understand and measure product usage. You'll also work to make our data scientists and analysts -- and the business decisions that depend on them-- more powerful and efficient. We're hiring across levels for this role, Mid-level to Staff Data Engineers. You will: Design, build, and maintain scalable data pipelines that power analytics and data-driven decision-making across Replit (e.g. tracking Repl deployments, AI agent usage, etc.) Develop ETL/ELT workflows using modern data stack tools and transform raw data into clean, reliable datasets that enable self-service analytics. Partner with teams across the company to understand data needs, deliver robust solutions, and implement data quality monitoring to ensure accuracy and reliability. Examples of what you could do: Build unified data models combining product usage, billing, and customer data to enable cohort analysis and retention tracking. Design real-time pipelines that surface key metrics and automated data quality checks to catch inconsistencies before they impact downstream users. Create dimensional models that enable flexible analysis of user behavior, feature adoption, and conversion funnels. Required skills and experience: 5+ years of experience building production data pipelines with strong SQL skills and experience designing data models. Experience with modern data transformation tools (dbt preferred), proficiency in Python, and hands-on experience with cloud data warehouses (BigQuery, Snowflake, Redshift). Understanding of data warehouse design principles and ability to communicate effectively with both technical and non-technical stakeholders. Preferred Qualifications: Experience with modern data stack tools (dbt, Fivetran, Segment, HEX, Databricks, Amplitude) and background in high-growth SaaS or PLG companies. Familiarity with event-based analytics platforms, data visualization tools, and software engineering best practices. Bonus Points: Experience with real-time data processing, reverse ETL tools, or developer tools and collaborative coding environments. Knowledge of data governance frameworks or machine learning pipelines and feature engineering. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: Competitive Salary & Equity 401(k) Program ️ Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Paid Parental, Medical, Caregiver Leave Commuter Benefits Monthly Wellness Stipend Autonoumous Work Environement In Office Set-Up Reimbursement Flexible Time Off (FTO) + Holidays Quarterly Team Gatherings In Office Amenities Want to learn more about what we are up to? Meet the Replit Agent Replit: Make an app for that Replit Blog Amjad TED Talk Interviewing + Culture at Replit Operating Principles Reasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,000 health and wellness offices across 46 states in four distinct categories: Dental Care, Urgent Care, Pet Care, and Medical Aesthetics. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of four consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Lovet Veterinary Clinics and Chapter Aesthetic Studio. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. Job Summary: We are looking for a Principal Data Engineer to architect, build, and optimize scalable cloud-native data platforms that power business insights and decision-making. This role will lead the technical direction of our data engineering initiatives using DBT Cloud, Python, Airflow, and Google BigQuery while ensuring best practices in data modeling, pipeline orchestration, and platform scalability. As a technical leader, you will mentor data engineers, drive engineering excellence, and collaborate with cross-functional teams to design and implement high-performance data solutions. Key Responsibilities: Data Platform Architecture & Development: Design, develop, and optimize scalable, cloud-native data platforms on Google Cloud (BigQuery, Cloud Storage, Pub/Sub, etc.). Lead the development of efficient ELT data pipelines using DBT Cloud, Python, and Airflow. Establish best practices for data modeling, performance tuning, and cost optimization in BigQuery. Design and implement data governance, security, and compliance frameworks. Leadership & Mentorship: Act as a technical mentor for the data engineering team, providing guidance on architecture, code quality, and best practices. Drive engineering excellence by establishing and promoting CI/CD, infrastructure as code, and automation. Advocate for modern data engineering practices, including data observability and monitoring. Collaboration & Strategy: Work closely with data analysts, data scientists, and business teams to translate business needs into scalable data solutions. Partner with ML and analytics teams to support real-time and batch data processing for AI-driven applications. Evaluate and implement emerging technologies to enhance platform scalability and efficiency. Qualifications & Experience: 5+ years of experience in data engineering with a focus on cloud-native architectures. Strong expertise in DBT Cloud, Python, Airflow, and Google BigQuery. Hands-on experience designing scalable, cost-efficient data platforms in Google Cloud (GCP). Deep understanding of data warehousing, ELT architectures, and distributed computing. Experience with orchestration tools like Airflow and event-driven architectures. Strong knowledge of CI/CD, infrastructure as code (Terraform), and DevOps principles. Ability to lead teams, mentor engineers, and influence technical strategy. Preferred Qualifications: Experience with streaming data pipelines (Kafka, Pub/Sub, Dataflow, etc.). Familiarity with data observability and monitoring tools (Monte Carlo). Knowledge of ML and AI data pipelines is a plus. This role is onsite 4 days/week in our Chicago office (Fulton Market District) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match Salary: $147,000 - 175,000/year

About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As a Product Data Specialist(Temp Only), you will be responsible for creating, modifying, and maintaining accurate and consistent Bills of Materials (BOM) and routings for all products (new and existing) while having a thorough understanding of impact resulting from changes to support material requirements, costs, order management, and manufacturing. The impact you'll make: Collaborate with Project Managers (PM's) to build project timelines focusing on BOM set-up and commercial deliverables to ensure a timely execution of product. Develop and execute against project plans and critical deadlines setforth by PM's. Carry out the NPD tasks associated with each SKU set up using Winshuttle and PoweBI. Keep track of progress and priorities for the overall cross functional teams handling BOM initiatives. Track BOM issues, communicate the issues with all groups, and facilitate discussions related to BOM accuracy to achieve resolution. Daily Follow-ups with stakeholders about priorities and progress of BOM set-up. Support and analyze all change requests to assess each level of the BOM and documents its impact in accordance with the requested change. Develop and maintain BOM related knowledge and capability in line with best practices, systems, and processes. Understanding of procurement, packaging engineering, finance, accounting and manufacturing processes. Management of 3D Renditions of packaging for commercial activation. Maintain tool and carry out tasks that facilitates the work of the cross-functional NPD teams by providing organization, transparency, effective communication, and coordination. Ability to understand how our products are linked between cross-functional teams, co-packers, flavor houses, material vendors, etc. Who you are: Prefer a Bachelor's Degree in the field of -- Business, Supply Chain, or related field. Additional Experience Desired: Minimum 1 year of experience in the Consumer Packaged Goods (CPG) industry. Additional Experience Desired: Minimum 1 year of experience in creating and managing complex BOMs in a manufacturing environment. Computer Skills Desired: Highly proficient with Microsoft Office Suite and SAP. Familiar with Winshuttle and/or PowerBI. Preferred Certifications: N/A Additional Knowledge or Skills to be Successful in this role: Expertise in product development data management. Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $69,000 - 80,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Senior Data Scientist is a strong contributor to the Biometric Assumptions Team, which provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Senior Data Scientist will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: Ideally located in a hybrid work-arrangement in one of RGA's offices- St. Louis, USA or Toronto/Montreal offices, Canada or London, UK or in a fully remote work-arrangement. Responsibilities Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards Communicate with a variety of stakeholders at various levels of seniority Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies Adhere to professional standards, best practices, and ethical guidelines Understand the strengths and limitations of a modeling approach Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in such as: Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines Stay abreast of new techniques, but focusing on practical applications Liaise with RGA's data scientists across the globe about more sophisticated data science applications Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field 6+ years of experience developing statistical models (Regression, Decision Trees, Time Series, etc.) Statistical programs/languages (R or Python) Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) Advanced predictive modeling skills: Tree-based models, GLMs, GAMs, etc.; Cross-Validation, Residuals and model diagnostics; Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) Advanced exploratory data analysis skills- Plots and graphics (BI/ggplot) Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques Transform data to enhance its predictive value (feature engineering) Advanced ability to translate business needs and problems into viable/accepted solutions Advanced investigative, analytical, and problem-solving skills Preferred Experience with longevity product design / pricing / experience studies / assumption development Re/insurance industry experience Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field Actuarial designation (ASA/FSA; AIA/FIA) 4 or more years of experience with statistical modeling for insurance Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) Basic data engineering capabilities (Python, Scala) Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation LI-DL1 #LI-HYBRID What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. We're excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience-without considering name, gender, or other personal details-and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you. Compensation Range: $123,500.00 - $184,050.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

At Portage Point Partners (Portage Point), you are not a cog in a legacy machine, you are shaping strategy, influencing outcomes and being rewarded for driving impact. Backed by New Mountain Capital, Portage Point is recognized for accelerated growth and is consistently featured in rankings from Inc.5000, The Financial Times and Consulting Magazine. This recognition is a testament to our focus on excellence, intensity and pace and ability to attract blue chip talent committed to delivering best-in-class outcomes. Our cross-functional platform spans the full business lifecycle and offers middle market clients integrated solutions across Transaction Advisory Services (TAS), Valuations (VAL), Transaction Execution Services (TES), Office of the CFO (OCFO), Performance Improvement (PI), Interim Management (IM), Investment Banking (IB) and Turnaround & Restructuring Services (TRS). The OCFO team provides strategic finance, operational, technical accounting and data analytics advisory across the entire business and investment lifecycle. Leveraging backgrounds in accounting, finance, operations and consulting, the OCFO team provides holistic perspectives and capabilities to deliver unparalleled results. The OCFO Director, Data Analytics at Portage Point represents a unique opportunity to assume a wide range of responsibilities and make a significant impact. This is a high-impact position at the intersection of data, technology and strategy. This Director will report directly to the OCFO Practice Line Leader and lead high-impact analytics initiatives that drive value creation, operational efficiency and strategic insight across the business lifecycle. This individual will be a senior member of the Data Analytics team, managing large-scale client engagements, architecting data solutions and serving as a thought leader within the practice. If you thrive in a high-performance culture and want to help build the future of a rapidly growing consultancy, this is the right role for you. Responsibilities Lead strategic data analytics engagements and oversee the execution of data-driven solutions aligned to transformation, performance improvement, M&A and enterprise growth initiatives Partner with firm leaders to identify and cultivate new client relationships and expand existing ones through differentiated analytics capabilities Begin to originate revenue through cultivation of network and leadership in the Portage Point coverage model, instilling trust to close new engagements and extensions Build and maintain trusted partnerships with CEOs, CFOs, CIOs, sponsors and lenders while influencing decision-making with clear, insight-rich communications Drive excellence across ELT, data modeling, architecture design, and integration. Lead application of advanced analytics (AI/ML/NLP) and automation (RPA, scripting) Guide clients in building, scaling, and professionalizing data platforms (e.g., Snowflake, Azure, SQL). Instill strong data governance, quality, and compliance frameworks Identify opportunities and deploy tools (Power Automate, Alteryx, UiPath) to accelerate time-to-insight and reduce operational friction Develop dynamic dashboards, KPIs, and predictive models to support client strategic planning, investor reporting, and cross-functional business management Mentor and develop high-performing teams; contribute to best practices, training, recruiting, and firm-building efforts across the OCFO and data analytics practices Provide coaching and mentorship to junior team members Lead internal trainings and best practice sharing Lead business development and client relationship efforts Support talent acquisition and firm-building initiatives Contribute to a high-performing, inclusive and values-driven culture Qualifications Experience in high-growth consulting, private equity, and operating environments Located in or willing to relocate to Boston, Chicago, Dallas, Houston Los Angeles, New York, Palm Beach or Philadelphia Invested in a team-based culture, motivated to collaborate in office four days per week and willing to work at client sites as needed 10 plus years of experience in data analytics, technology-enabled transformation, or strategic advisory, in consulting environments Multi-faceted experience in the data analytics lifecycle, including but not limited to: data engineering / integration (SQL, Python, Airflow, dbt, Fivetran), data modeling / architecture (Azure, Snowflake, Redshift), AI and ML (NLP, OCR, GenAI, Python/R), BI visualization (Power BI, Tableau, Looker), process automation (Power Automate, UiPath, Alteryx) and data governance (Collibra, Alation, Purview) Proven track record of working directly with Private Equity Sponsors, Lenders and C-suite executives to successfully deliver measurable business outcomes through analytics Track record of developing and marketing solutions and products to drive faster and better client outcomes Experience working with and leading and scaling India-based consulting teams Passion for growing people, building systems, and delivering lasting impact Superior written and verbal communication skills, including executive-ready presentation, reporting skills and ability to articulate solutions to non-technical professionals Proven ability to thrive in lean, fast-moving teams High attention to detail, responsiveness and ownership mindset Track record of success in high-pressure, client-facing environments $395,000 - $590,000 a year In accordance with pay transparency laws in the City of New York and the State of California, Portage Point provides a good-faith cash compensation range for this position. This range represents the cash compensation (base plus bonus) that the firm reasonably expects to pay upon hire, based on good-faith and reasonable estimate at the time of posting. The final compensation within this range will depend on the candidate's qualifications, education, training, experience and location. In addition to cash compensation, Portage Point may offer comprehensive benefits and equity participation, which are not reflected in the pay range above. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt's AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world's leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue-and often all their profits-from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams, and gain exposure to a wide range of technology. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt'stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for an Data Engineer. A fixed annual salary of $170,000 - $210,000, an employee equity plan grant, and world-class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the role: Join Rokt as a Data Engineer on the Metrics team, you will architect the semantic and data layers that define how Rokt measures success. You'll transform raw product and GTM event streams into trusted, governed, analytics-ready models; codify business logic into reusable metric definitions; and build proactive monitoring to keep our "single source of truth" healthy and reliable at scale. You'll serve as metric steward for one or more business domains, owning the semantic layer and data models end-to-end You'll partner closely with engineers, product managers, data scientists, and GTM stakeholders across Rokt's Research & Development organization to enable self-serve insights and consistent decision-making. What You'll Do Model data for trust & reuse: Build modular, tested transformations (e.g. in Spark/Python) that convert raw logs into canonical datasets and marts powering experimentation, product analytics, and executive reporting. Own the metrics layer: Design and maintain a governed catalog of metrics and dimensions (e.g.Datahub) with clear definitions, lineage, and versioning. Operate reliable pipelines: Orchestrate and harden batch/stream pipelines (e.g., Airflow/Kafka/Spark) with SLAs, backfills, and cost-aware performance tuning. Proactive data quality: Implement unit/integration tests, anomaly detection, and monitoring (e.g Great Expectations/Monte Carlo/Bigeye) to catch metric drift and upstream integration issues before they reach users. Integration health visibility: Build dashboards/alerts for client conversion data health and integration metrics (e.g., EMQ, AQS), and drive root-cause analysis and remediation with partner teams. Enable self-serve analytics: Create intuitive dashboards and templates (e.g., Tableau) that expose the metric layer and unlock analysis for engineering, PM, and GTM users. Define logging standards: Partner with product/engineering to instrument event schemas and logging guidelines that improve downstream observability and data quality. Document & govern: Establish style guides, playbooks, and change-management processes for metric and model evolution (including deprecation and backfills). Raise the bar: Lead code reviews, mentor peers, and contribute to platform roadmaps across Rokt Research.

We are looking for a Data Verification Analyst to join us. This individual will work as part of the Data team to call, research, and verify First Orion data. This requires calling, using research tools, and working in collaboration with other teams to fulfill the verification process. This team member will be able to perform these duties independently in a timely fashion while communicating with their team members for larger or more difficult projects. What you'll be doing: Research and verify data through phone-based contact and web-based searches, as well as First Orion internal tools Work to ensure data quality across all internal and customer facing systems Communicate with team members and other First Orion teams about verification details Customer problem solving through email and/or tickets Support customer escalations by being on call approximately once per quarter. You would be primary on-call contact once every three months, and then move to secondary on-call the following week What you'll need: High School diploma Microsoft Office proficient: Excel, Word, Outlook Detail-oriented with excellent communication and problem-solving skills Time Management skills Ability to work independently or in a group environment Strong customer service and effective interpersonal skills, including ability to speak on the phone for many hours of the day in a professional and courteous manner Bonus Points: Fluent in Spanish is a plus Previous research experience in an academic or work-related project MIS bachelor's or associate degree The pay range is $15-18 per hour. Company Benefits: Balancing the work-life flow is key to health and happiness! That is why we offer one of the most competitive packages in our industry with open PTO, company paid holidays, Flex Fridays and flexible work arrangements. We strongly value the health and wellness of our teammates and through our state-of-the-art fitness center we're helping our teammates reach their wellness goals while at work. Add on generous health and dental/vision options, retirement plans, learning and development programs, career path frameworks, tuition reimbursement, company options and bonus potential you have many ways to take advantage of a comprehensive benefits package that means the most to you! Learn More About First Orion: First Orion helps businesses generate more revenue, increase efficiency, and improve the customer experience by empowering them to brand their phone calls with their name, logo and reason for calling. We are the market leader in branded communications technology, and a trusted partner to Fortune 500 companies and the largest U.S. mobile carriers. First Orion has been voted a Great Place to Work with top rankings in every category. Learn more about what our employees have to say on our First Orion Glassdoor page and watch our People First Diversity Statement/Video. First Orion Culture Cornerstones are at the core of everything we do here. Disclosure: First Orion is an Affirmative Action and Equal Opportunity Employer. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Activities, duties, and responsibilities may change at any time with or without notice, based on the changing needs of our business. This position is not eligible for employment-based immigration visa/status sponsorship. Employees are required to demonstrate proper work authorization as required by I-9 compliance. First Orion is interested in every qualified candidate who is eligible to work in the United States. First Orion's immigration sponsorship policy is applied in a nondiscriminatory fashion regardless of race, gender, ethnic origin, or any other classification protected by law.

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. WHAT YOU WILL EXPERIENCE IN THIS POSITION: Install and maintain nVent High-Density Liquid Cooling (HDLC) products at customer data center sites globally. Travel to client's global locations to provide installation, maintenance, and warranty support. Share technical information effectively during updates, reviews, and troubleshooting discussions. Contribute to project planning by helping define tasks, timelines, and budgets. Work closely with Engineers and CAD Designers on prototype and pilot design projects. Take on additional responsibilities as needed. Represent nVent professionally as a trusted point of contact for clients. Although we have this posted in many locations, we are only making 1 hire* YOU HAVE: Ideally 5+ years of experience in data center maintenance and installation, ideally with high-density liquid cooling products. Ability to deliver clear and effective product or technical training. Validated understanding of electrical and mechanical drawings, including proficiency in CAD software and Visio. Validated understanding of thermodynamics, fluid mechanics, plumbing, pipefitting, and heat transfer, and numerical methods. Familiarity with relevant standards and regulations (NEC, IEC, IEEE). Basic knowledge of power distribution, heat tracing applications, or control and monitoring systems. Ability to work 100% remotely from anywhere in the US and travel 50-70% on average, including international trips. A valid driver's license is required. 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 Pay Transparency nVent's pay scale is based on the expected range of base pay for this job and the employee's work location. Employee pay within this range will be based on a combination of factors including knowledge, skills, abilities, experience, education, and performance. Where federal, state, or local minimum wage requirements exist, employee pay will comply. This position is posted in multiple locations and as such, the expected job-based pay scale may vary based on the location per the table below: Compensation Range: Geographic Region A: $76,000.00 - $141,100.00 Geographic Region B: $83,500.00 - $155,200.00 Geographic Region C: $91,100.00 - $169,300.00 Depending on the position offered, employee may be eligible for other forms of compensation, such as annual incentives. Benefit Overview At nVent, we value our people and their health and well-being. We provide a broad benefits package with meaningful programs for eligible full-time employees that includes: Medical, dental, and vision plans along with flexible spending accounts, short-term and long-term disability benefits, critical illness, accident insurance and life insurance. A 401(k) retirement plan and an employee stock purchase plan - both include a company match. Other supplemental benefits such as tuition reimbursement, caregiver, personal and parental leave, back-up care services, paid time off including volunteer time, a well-being program, and legal & identity theft protection. 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-Remote #LI-AG1

About Grocery Outlet Our Mission: Touching lives for the better Our Vision: To be the first choice for bargain-minded consumers in the U.S. Our Values: Achievement, Diversity, Entrepreneurship, Family, Fun, Integrity & Service About the Team: As Director of AI & Data, you will own Grocery Outlet's enterprise strategy and execution for artificial intelligence, data science, and data governance initiatives. Reporting to the VP, Development & Data, you will build and lead a team responsible for leveraging data-driven insights and advanced analytics to optimize decision-making, improve operational efficiency, and drive strategic business value across the organization. You will guide the design and implementation of Grocery Outlet's data science, AI, and data governance programs-ensuring robust data management, governance practices, and the development of innovative AI-enabled solutions that support key business areas such as merchandising, supply chain, marketing, and operations. You will collaborate closely with senior stakeholders across Business Intelligence, Enterprise Data Architecture, and Business Solutions to align data and analytics investments with enterprise goals. This role reports to the CIO. Responsibilities Includes: Strategic Leadership & Vision Define and execute comprehensive data science, data governance and AI strategy aligned with corporate priorities Act as an influential advisor to executive leaders and business stakeholders on leveraging AI and data-driven insights Champion the responsible and ethical use of AI and data, ensuring that all initiatives balance business value with transparency, security, and regulatory compliance Lead the development and execution of Grocery Outlet's enterprise data governance framework AI & Data Science Development Lead the vision and roadmap for advancing enterprise data capabilities and scaling AI, and advanced analytics across core business areas Lead enterprise data development initiatives to improve data quality, cleanse and standardize master data Drive close collaboration across the data team, business data organization, IT, and functional stakeholders to accelerate prototyping, testing, and deployment of analytics solutions Stay current on emerging AI techniques, platforms, and trends; introduce innovation and best practices Data Governance & Management Establish and enforce standards, policies, and procedures for data quality, accuracy, security, privacy, and compliance Oversee the design and implementation of data lineage, and master data management (MDM) practices Collaborate closely with Enterprise Data Architect to ensure data availability, integrity, and accessibility across the enterprise Define and publish KPIs and metrics for data governance effectiveness and maturity People & Team Leadership Recruit, build, and lead high-performing teams of data & AI engineers, and data governance specialists Foster a culture of collaboration, accountability, and continuous learning within your teams Provide coaching and professional development to drive growth and career progression Manage relationships and performance with external vendors, consultants, and analytics partners Performance & Value Realization Measure, track, and communicate the business impact and value of AI and data initiatives Develop clear success criteria, metrics, and dashboards for analytics-driven outcomes Partner with Finance and the PMO to quantify and articulate the ROI of investments in AI, data science, and governance Ensure transparency, timely delivery, and alignment of analytics projects with organizational goals About The Pay: Base Salary Range: $165,000 - $185,000 Annual Bonus Program Equity 401(k) Profit Sharing Medical, Dental, Vision & More! Final compensation will be determined based upon experience and skills and may vary based on location. About You: You are a visionary, strategic leader who sees data and AI as powerful enablers of business success. You combine deep technical expertise in data science, AI, and analytics with strong business acumen and excellent stakeholder communication. You are passionate about turning data into actionable insights that move the needle. 12+ years of experience in data science, analytics, or data governance roles 5+ years leading data science, AI, or enterprise analytics functions at a senior level Proven track record of successfully delivering AI and analytics solutions that drive measurable business impact Deep knowledge of machine learning techniques, predictive modeling, statistical analysis, and data visualization tools Strong understanding of data governance frameworks, data privacy, security, and regulatory compliance (e.g., CCPA, GDPR) Experience building and scaling analytics and data teams within retail, consumer products, or supply chain organizations Bachelor's degree in computer science, Data Science, Engineering, or related field required; Masters or advanced degree strongly preferred Experience with SAP Data models and familiarity with various functions within SAP will be a big plus. Exceptional executive communication and stakeholder engagement capabilities Collaborative and inclusive leader who builds strong relationships across business and technology functions Skilled at translating complex data concepts into clear business insights and strategic recommendations Metrics-driven and outcome-focused; disciplined in demonstrating the ROI of analytics investments Strong team-builder and mentor with a proven ability to attract, grow, and retain analytics talent Innovative thinker who proactively explores new techniques, tools, and industry trends To learn about how we collect, use and secure your personal information. Click here to see our privacy policy.

About Cartesia Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text-1B text tokens, 10B audio tokens and 1T video tokens-let alone do this on-device. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. About The Role To build truly global AI, our models must be trained on data that reflects the world's diversity of languages and cultures. We are searching for a Research Engineer to own the quality and coverage of the data behind our models. You will be our in-house expert on global data, ensuring our models perform exceptionally well across dozens of languages. You have a keen eye for linguistic nuance, and a passion for building inclusive and representative datasets at scale. Your Impact Design and build large-scale datasets for model training, and run controlled modeling experiments to measure their impact on model performance and behavior. Build evaluations of speech models, both via manual annotation and at scale with automated metrics. Implement techniques for steering data generation to improve model intelligence through data and mitigate bias. Build automated quality control systems to validate and filter generated data Partner with product teams to ensure support for key languages and markets. What You Bring Experience building or working with large multilingual datasets Experience with generative models (speech, text, or multimodal). Ability to help guide human annotation and evaluation across multiple languages. Strong applied ML background with a focus on data-centric approaches. Excitement for building scalable systems that bridge research and production. What We Offer Lunch, dinner and snacks at the office. Fully covered medical, dental, and vision insurance for employees. 401(k). ️ Relocation and immigration support. Your own personal Yoshi. Our Culture We're an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day. We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don't sacrifice quality or design along the way. We support each other. We have an open & inclusive culture that's focused on giving everyone the resources they need to succeed.

About the Team OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-4, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams. About the Role As a Technical Program Manager (TPM) in the Human Data team you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team. This role is based in our San Francisco HQ and will report to the Head of Human Data Operations. We offer relocation support to new employees. In this role, you will: Collaborate with Research: Partner with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks. Design & Execute Data Collection Campaigns: Translate research needs into actionable plans and accelerate execution by leveraging existing tooling and iterating to reach the desired outcome. In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions. Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interim Optimize Systems & Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights. Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management Scale Your Impact: Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities. You'll thrive in this role if you: Proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insights Proficient in Python for interacting with various tools via APIs, including sending requests, processing responses, and integrating functionalities into workflows Proficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-making A strong understanding of how LLMs work and of prompt engineering Are excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launch Enjoy being part of an ambitious and technically-minded team Have experience working at large scale across a portfolio of projects Want to get your hands dirty; grit and creative problem solving will be required daily Have an action-oriented and deeply curious mind Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization Thrive in dynamic environments and can navigate ambiguity with ease About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the team The Applied team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Implement robust and fault-tolerant systems for data ingestion and processing. Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear. Ensure the security, integrity, and compliance of data according to industry and company standards. You might thrive in this role if you: Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering). Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java. Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3). Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks. Solid understanding of Spark and ability to write, debug and optimize Spark code. This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. 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.

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 work to weave diversity, equity, and inclusion into our work and foster a sense of belonging throughout the 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. In the role of Data Center Market Leader (Building Engineering & Construction), we'll count on you to assist the Area Business Group Managers to deliver services within the market sector through: Focus on Delivery: Serve as the Client Manager, Principal-In-Charge, Project Manager and/or a key project leader and resource for selected key clients within the region, and be active and visible in the industry Assist with contract review on key projects to help ensure risk management, proper staffing, quality reviews and resolution of claims Drive technical excellence and coordinate technical staff to support project delivery and marketing efforts Work with area business group leadership to implement process improvements and leverage work sharing throughout the organization to meet or exceed planned goals Facilitate cooperation and eliminate hurdles and barriers to success Work with the Area and Business Group leadership and Market Sector Directors to coordinate staffing/recruiting plans for key hires and assist local leadership as necessary with local hires Ensuring project delivery and supporting the QA/QC program Planning, directing, and monitoring all aspects of large multi-discipline projects or medium-sized projects with a high degree of technical complexity for key clients Monitor market sector performance indicators NFE/NFB/profits/positive equity/AR/losses/investments Impact on Business Development Focus on client management and development. Assessing the Northern California Area marketplace and determining the best business approach to win and secure contracts Identifying and developing project opportunities, leading pursuits. Business development efforts in collaboration with teams throughout HDR Promote the marketing and delivery of all HDR services, driving client development and pursuit processes The position will seek opportunities to enhance our practices so that we will best perform within the marketplace to serve our clients, win new work, and to provide opportunities for staff growth and development Develop relationships with industry counterparts in other consulting organizations Develop relationships with senior leadership in key client organizations Participate in industry associations and serve as a company role-model in business and community organizations Preferred Qualifications Experienced with Fortune 500 Tech companies. Strong understanding of data center and/or semi-conductor lab power and cooling concepts Working knowledge of architectural and engineering principles as they apply to data center design and semi-conductor facilities. Experience with site selection criteria for data centers and other tech facilities Excellent analytical and problem-solving skills. Strong communication and collaboration skill LI-MO1 Required Qualifications Bachelor's Degree in an engineering, planning or a related field A minimum of 10 years of industry experience If an engineer, maintain engineering registration Experienced in development and management of strategic marketing programs for planning and/or engineering services Experienced in development and management of a wide range of client relationships and specific program and/or project pursuits Experienced in overall staff development to include recruiting, career path and professional growth Experienced with industry associations and maintains a visible profile in the market sector Ability to work cooperatively with Regional Market Sector Directors, Market Sector Directors, Business Class Directors, Regional Business Group Directors, Area Business Group Managers, Area Marketing Managers and Area Managers Demonstrated commitment to HDR values. 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.

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

Everlight Solar is seeking a skilled, data-minded individual to be an assistant to our Solar Project Manager. Our project managers and assistants oversee and coordinate the entire process for company projects, assisting customers, team members, and contractors, ensuring that each project is completed in a timely manner with high-quality results. This is a FULLY REMOTE, full-time, entry level position. Must own a Mac computer and be fluent with the Apple ecosystem of software (iOS, macOS, iWork, etc.) Everlight Solar is a rapidly growing company and the leader of solar energy in the Midwest. We offer a unique experience that fosters individual growth and rewards performance. Our culture at Everlight is extremely important to us. The work environment is fast-paced and dynamic. We value teamwork, quality, innovation, and customer success. Our ideal candidate is self-motivated, detail-oriented, has excellent problem-solving abilities, is passionate about delivering results on-time, exceeding expectations, and ensuring success for our teams. Responsibilities: Validates expectations with customers before, during, and after project completion. Exceeds customer expectations on a regular basis while performing excellent customer service. Successfully manages multiple projects through all phases. Ability to work independently under pressure, to organize and prioritize workloads, and to keep several projects progressing to completion with little or no direction. Ability to weigh options, foresee consequences, and employ good judgment. Serves as a liaison between field technicians, department management, government bodies, and customers. Use independent judgment to handle and troubleshoot all inquiries, questions, and complaints. Proactively completes projects on time. Reviews and oversees completed plans and project documentation for accuracy. Monitors equipment production to ensure product integrity. Consistently meets the overall project deadlines in a timely manner. Builds trust and confidence with contractors and the Project Management Team. Assists with managing multiple subcontractors across multiple states. Recruits and develops business relationships with new subcontractors. Drives sales and profitability through effective and efficient project execution. Understands principles and methods for showing, promoting, and selling products or services. This includes marketing strategy and tactics, product demonstration, sales techniques, and sales control systems. Requirements: Excellent organizational and time management skills. Excellent communication and interpersonal skills; both written and verbal. Extraordinary commitment to the highest level of customer service. Ability to work well with customers in verbal and in written communication. Remains calm when dealing with an upset or angry customer and listens to their concerns/questions. Positive, outgoing, energetic team player that enjoys working in a collaborative team environment. Must own a Mac computer and be fluent with the Apple ecosystem of software (iOS, macOS, iWork, etc.) Proven ability to function in all phases of the project development, from sales proposals and design, through project completion and closeout. Knowledge/Proficiency in Microsoft Office programs. Knowledge /Proficiency in Salesforce. Demonstrated sense of urgency and ownership in all assignments. Ability to collaborate closely with other team members on a wide variety of projects. Prepares timely and accurate paperwork. Participates in marketing activities and business development efforts. Experience with Solar. Must own a Mac computer and be fluent with the Apple ecosystem of software (iOS, macOS, iWork, etc.) Benefits: Health Insurance Dental Insurance Vision Insurance Life Insurance PTO Sick and Safe Time Paid Holidays Off Salary: $30,000-$40,000/ year Everlight Solar is proudly an Equal Opportunity Employer. We value diversity of all types and are excited to work with talented individuals from a wide range of backgrounds. Everlight is committed to inclusion and we invite people of any race, creed, color, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, nationality or sex, age groups (18+), and levels of education to apply. Authorized to work in the US and background check required.

Copy And Paste Job Description Here We're a global leader in providing energy solutions that help businesses grow and communities thrive. We work as a team and we're proud of the difference we make to customers, to local communities, and towards a sustainable future for the world. We are hiring immediately for a Business Development Manager to lead our growth efforts in the data center sector. This role will focus on building relationships with data center owners, colocation providers, and contractors, introducing them to our innovative solutions that reduce construction timelines and increase operational efficiency. Why Aggreko? Here are some of the perks and rewards. Work from home or in a local service center Competitive compensation - Base pay $120K -$140K per year Uncapped quarterly bonus structure Monthly car allowance No cost medical plan option available Paid training programs and tuition reimbursement Sales career growth potential in expertise, leadership and across territories Safety-focused culture What you'll do: Cold calling, account management, presentation development, closing deals Track all sales contacts, meetings, opportunities, proposals, and orders Selling equipment rental and services to our Datacenter customers Developing and executing an annual territory sales plan Partnering with the operations and logistics teams project execution and completement You'll have a general understanding of power generators, diesel engines, electrical distribution equipment, HVAC equipment and/or oil free air compressors We're experts, which means you'll have the following skills and experience: 7-10 years of direct business to business sales experience Advanced Knowledge of targeted territory Advanced Knowledge of the Data Center industry Proficiency with a CRM (i.e., Salesforce) Partnership with other areas of the Aggreko business (Ops, Fleet, Logistics) Bachelor's degree or relevant experience We recruit the best talent. Apply now and help us keep the power on. LI-BB1 LI-REMOTE Equal employment opportunity We welcome people from different backgrounds and cultures, and respect people's unique skills, attitudes and experiences. We encourage everyone to be themselves at work because we know that's how we do our best, for each other, for our customers, for the communities where we work, and for our careers. We are an equal opportunity employer. If you apply for a role at Aggreko, we will consider your application based on your qualifications and experience, and not on your race, colour, ethnicity, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

First for a reason: At First Student, we are a family of 60,000+ employees who take pride in safely transporting more than 5 million students and passengers to and from their destinations each day! Our family of brands include Transco, Total Transportation, Maggies Paratransit, and GVC II. Our employees are at the forefront of safety and innovation; they create and implement the most advanced training and technology the transportation industry has to offer. Serves as the third party liability claims administrator (GLICRS) and the technical examiner for the workers compensation claim section. Manages all data associated with the GLI Risk Management functions, supplying internal customers and external regulators with financial data and exposure information. Major Responsibilities Creates data queries and runs essential departmental reports. Handles regulatory reporting. Serves as administrator for the RMIS System. Sets up new users, sets user privileges for data entry, setting reserves, printing checks, etc. Ensures SOX compliance. Keeps daily contact with VP Risk Management, managers within the Risk department, claim technicians, and Accounting/Finance/Legal Department for operational purposes. Works weekly with actuaries for financial data integrity purposes, state regulators for self- insurance purposes, claims vendors for financial data integrity purposes, and RMIS vendors for RMIS administration purposes. Manages, maintains, and monitors the data entry of accident/incident reports into Risk Management's Risk Management Information System (RMIS). Ensures data base maintenance and integrity of data and reports. Prepares standard weekly, monthly, quarterly, bi-annual, and annual reports for all levels of management including senior management. Includes ad hoc reporting when required. Provides accounting and treasury with check disbursement reports on daily, monthly, and yearly basis. Manages and oversees the issuance of Certificates of Insurance for vendors and customers of CLI, inc. managed and owned subsidiaries. Assists the Corporate Insurance Manager in the preparation of the Corporate Insurance Program Annual Renewal. Monitors and tracks Workers Compensation Incentive program. Prepares monthly, quarterly, bi-annual, and annual reports for Workers Compensation and Self-Insurance renewal application for various State and Federal Governmental Agencies. Other responsibilities as requested or required Minimum Education or Certifications Required Bachelor's Degree preferred High School Diploma or equivalent is required Minimum Experience or Skills Required 3+ years experience Experience in financial/actuarial analysis preferred Knowledge and experience with MS Excel, Word, and PowerPoint Proficiency in keyboarding and data entry Experience with Database - MS Access, Paradox, and Project Management software Mainframe (TRIPS) working knowledge required In the state of Washington, all technician and driving positions, including but not limited to van drivers and any other position requiring employees to drive a company-owned vehicle, are considered safety-sensitive and are therefore subject to drug and alcohol testing, including cannabis. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. First is also committed to providing a drug-free workplace. First will consider for employment qualified applicants with criminal histories consistent with the requirements of the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Ordinance, and any other fair chance law. Philadelphia's Fair Criminal Record Screening Standards Ordinance Poster is at this link or upon request https://www.phila.gov/media/20210423160847/Fair-Chance-Hiring-law-poster.pdf .