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

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Join Snowflake and help shape the future of global privacy and data compliance. Snowflake is seeking an experienced privacy and data compliance attorney to be a core member of our Legal Privacy & Data Compliance team, working closely with partners across Legal, Product, Engineering, Security, Compliance, and Go-to-Market organizations. In this role, you won’t work in isolation-you will collaborate deeply with diverse teams to build practical, scalable privacy and data compliant solutions that enable innovation while protecting our customers and earning their trust. This role is ideal for a collaborative, solutions-oriented professional who enjoys working as part of a high-performing team, values shared ownership and knows how to influence without authority. You will contribute to shaping Snowflake’s global privacy and data compliance strategy while partnering with stakeholders to turn complex regulatory requirements into clear guidance and actionable processes. You will thrive here if you enjoy balancing independent leadership with teamwork, driving initiatives forward while actively listening, sharing context, and building alignment across functions. Strong written and verbal communication skills are essential, as you will regularly engage with colleagues at all levels to explain nuanced privacy and data compliance concepts and support informed decision-making. Reporting to the Head of Privacy & Data Compliance, your work will span global privacy and data compliance programs, including GDPR, global cookie compliance, EU Data Act, EU Digital Services Act and related regulated frameworks, as well as supporting Snowflake’s global privacy reporting obligations. Throughout, you will be part of a supportive, inclusive team that values trust, partnership, and continuous improvement. This is a hybrid role based in our Dublin (CA), Menlo Park (CA), or Bellevue (WA) offices. Responsibilities Provide practical legal guidance on privacy and data compliance requirements for new and emerging technologies. Partner cross-functionally with Product, Engineering, Security, Compliance and Go-To-Market teams to embed privacy-by-design into products and processes. Support and help scale Snowflake’s global privacy and data compliance programs, including GDPR and other evolving regulatory frameworks. Translate complex legal and regulatory requirements into clear, actionable guidance for technical and business stakeholders. Identify, assess and mitigate privacy and data protection risks while enabling business objectives. Contribute to global privacy reporting, documentation, and regulatory readiness efforts. Collaborate closely with Legal and Privacy team members, sharing knowledge and supporting a culture of teamwork and continuous improvement. Develop and automate processes to scale efficiencies and compliance controls Develop and iterate on privacy-related notices, policies, procedures, and guidelines. Assist corporate, product, and marketing teams with developing marketing collateral to tell our privacy and data compliance story. Research and evaluate the applicability and impact of global privacy and data compliance laws, legislation and regulatory guidance. Requirements: 3-5 years of substantive privacy and data compliance legal experience, preferably both in-house and at a law firm Experience with EU and international privacy and data compliance laws, regulations and standards Experience with US State and Federal privacy and data compliance laws and regulations JD from an accredited law school, membership in at least one state bar, and the ability to practice in the jurisdiction in which this position is located Ability to pragmatically weigh the risks and benefits of complex situations Willing to take on new challenges and learn new technologies A good sense of humor and passionate about privacy and data compliance Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description Govini is looking for motivated, curious, and data-driven individuals to join our team as Senior Implementation Engineers. Senior Implementation Engineers at Govini have a quantitative mindset and firm understanding of how to use technology and data to solve hard customer problems. Senior Implementation Engineers are responsible for developing new methodologies to answer client questions with Govini’s data, leveraging quantitative skills to configure Govini’s technology to achieve customer outcomes, communicate data-driven insights to executives in the national security community, and oversee cross-functional teams to produce compelling program insights, data visualization, and briefings. In order to do this job well, you must be analytical, understand people, have a strong drive to use technology to solve the hardest problems, have business acumen, and want to learn everything, particularly about the most pressing national security challenges confronting the nation and how data and machine learning can help address them. You understand the US Government and Defense acquisition processes and the importance of effective and efficient program management, supply chain risk management, and program and technology modernization. You ask hard, uncomfortable questions. You have a professional acumen that allows you to lead conversations with top government agency officials. You know there are always multiple answers to hard problems, and you know how to engage in a constructive dialogue to find the best path forward. This role is a full-time position located out of our office in Arlington, VA. This role requires 75% travel to client sites across the United States - CONUS and OCONUS Scope of Responsibilities Develop expertise in Govini’s clients, offerings and data, and support customers as a Govini product and data expert Execute the successful implementation of software and data to Govini’s customers and provide platform training Use coding languages (SQL, Python) to conduct technical platform configuration and data integration Build and manage client relationships Lead execution teams and/or workstreams Collaborate with Govini Engagement Managers and Product Managers to capture market demand and user needs for inclusion into Govini’s offerings Proactively drive utilization of the product using targeted training and engagement strategies that drive mission outcomes and analytical insights for platform users Develop and maintain documentation such as tailored user guide reference materials Conduct research and develop quantitative analytic reports using Govini technology and data Orally and visually present data-driven findings in a concise and compelling manner to internal teams, as well as government officials Demonstrate knowledge in areas such as US Government programs and operations, federal acquisitions and program management, government procurement practices, supplier assurance, federal contracting, Planning, Programming, Budgeting, and Execution (PPBE), Supply Chain Risk Management, and Open Source Intelligence (OSINT) analysis. Depending on your background and expertise, you could also be responsible for: Provide technical workflow development and configuration Communicate data-driven insights to executives in the national security space Conduct in-depth quantitative and qualitative analyses on problems of importance to U.S. national security community using data visualization, compelling written paper and briefings Provide product demonstrations in support of sales pursuits efforts Mentor team members to increase skill and domain expertise Qualifications U.S. Citizenship is required Bachelor’s Degree in International Relations, Political Science, International Security, Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science or similar fields, or 3-7 years of equivalent experience Required Skills: Strong familiarity/skills with SQL, Python, and/or R. Familiarity with other skills such as Excel, React, Typescript, Java, C, GoLang. 3-7 years experience performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills Knowledge of defense acquisition life cycle and program management, technology scouting, and supply chain risk management History of engaging with and presenting to federal Government stakeholders Excellent professional demeanor with a willingness to work outside of your comfort zone in a fast-paced environment without hesitation Strong aptitude for solving open-ended issues in unpredictable, unstructured environments Outstanding listening, verbal, and written communication skills Ability to manage multiple work-streams and projects, learn quickly, and work independently with little supervision Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Master’s degree in International Relations, Political Science, International Security, Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science or similar fields 3-7 years of experience in user support or user engagement with a focus on platform and product utilization Experience with advisory services, software-as-a-service (SaaS), information services, analytic tools, or data analytics industries Demonstrated ability to conduct relevant business case studies and market analysis using internal and open-source data sources We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: We are looking for a foundational member of the Data Team to enable Skydio to make data-driven decisions and build data-centric products. You’ll build the systems that collect, transform, and store data from tens of thousands of autonomous drones, powering insights that make our vehicles smarter, safer, and more capable. You’ll have the opportunity to define our data architecture, champion modern tooling in Databricks and Palantir Foundry, and bring AI-assisted analytics to every corner of the company. This is not a back-office data role — you’ll be working on problems at the intersection of autonomy, AI, and massive-scale telemetry, helping Skydio turn raw flight data into intelligence that drives real-world impact! Examples of what you’ll help build: Predictive models that forecast hardware issues — like propeller or battery failures — before they happen, and automatically trigger the right mitigation steps. 3D maps of cellular and radio connectivity across the operational airspace, helping customers understand where their drones can safely and reliably fly. The company-wide data lakehouse that powers analytics, dashboards, and machine learning — built to be secure, scalable, and lightning-fast. AI-driven data tools that let anyone at Skydio explore data, uncover insights, and build pipelines for their use cases — all in a truly self-serve way. How you'll make an impact: Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones — reliably, efficiently, and with the scale to support the next generation of flight intelligence. Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards — turning raw telemetry into accessible, actionable insights. Develop data systems that make our products truly data-driven — from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in-depth flight telemetry analysis that sharpens drone performance. Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation — lowering the technical barrier and democratizing how teams access and build with data. Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance, keeping Skydio’s data lakehouse secure, performant, and cost-effective at scale. Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company — enabling faster, smarter decision-making and unlocking AI-driven insights end-to-end. Lead and mentor data engineers, analysts, and stakeholders across Skydio — guiding teams toward better architecture, more reliable data models, and a shared culture of excellence. Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems. What would make you a good fit: 5+ years of professional experience, including 2+ years in software engineering and 2+ years in data engineering with a bias towards getting your hands dirty. Deep experience with Databricks or Palantir Foundry, including building pipelines, managing datasets, and developing dashboards or analytical applications. Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness. Proficiency in SQL and at least one modern programming language (for example, Python or Java), and comfort working across the full data stack — from ingestion and transformation to orchestration and visualization. Strong communication skills, with the ability to collaborate effectively across all levels and functions — from engineers and analysts to senior leadership — and to translate data into clear narratives and decisions. Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization. Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics. Bonus: Experience in robotics, IoT, or autonomous systems, or building data systems that integrate with real-world hardware. Why Join Us? At Skydio, you’ll help shape the future of autonomous flight technology. You’ll work alongside world-class engineers and domain experts, and you’ll be given ownership and autonomy to grow into a leadership role. We offer competitive compensation, excellent benefits, and an opportunity to make a tangible impact in an industry poised for massive growth. Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000-230,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria. *Compensation for certain positions may vary based on the position’s location. #LI-WA1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

Associate Product Support Engineering Data Specialist Company: The Boeing Company Boeing Global Services (BGS) has an exciting opportunity for an Associate Product Support Engineering Data Specialist to support Boeing Defense, Space & Security (BDS) Air Dominance\Phantom Works. In this role, you will be part of a high performing, cross functional team building next generation, state-of-the-art capability. This position will directly report to the BGS Product Support Technical Manager, indirectly report to the AP1 Program Manager, and be assigned to one of the three BGS Product Support Integrated Logistics teams. As an Integrated Logistics Product Team member, the successful candidate will support the teams RAA (responsibility, accountability and authority) to complete a portion of the ILS teams’ combined statement of work and deliverables for the program. Position Responsibilities Supports developing, analyzing collecting, and storing various system support technical data elements and specifications for evaluation and assist with making recommendations. Supports providing recommendations on product supportability and establishing product supportability operational maintenance tasks, resources, and support systems to achieve supportability requirements for a single equipment subsystem. Assists with identifying and analyzing logistics support candidates from product definition and develops logistics support analysis records and reports. Supports determining spares provisioning requirements for spare and replacement parts, levels, and stocking for a single customer and contract type. Supports, produces, delivers, sustains, and manages S1000D compliant operating, wiring, and technical orders. Assist in preparing technical documentation for operating, testing, and maintaining aircraft systems/components Support applicable subject matter experts to define Integrated Logistics Support technical approaches and ensure adherence to applicable engineering standards and processes Work with cross-functional teams to drive innovation in the development of Integrated Logistics Support solutions Special Program Access or other Government Access Requirements are mandatory for this position. Position requires the ability to travel 10% of the time. Basic Qualifications (Required Skills/Experience): 2+ years of experience supporting the military aviation industry 2+ years of experience working with aircraft drawings, specifically military aircraft. Preferred Qualifications (Desired Skills/Experience): Experience with data elements associated with the logistics support analysis records or equivalent Experience with Logistics Support Analysis Database (GEIA-STD-007) or equivalent Familiar with S1000D standards and formats Understanding of how to read and interpret engineering drawing and models Typical Education & Experience: Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience (e.g. Master, 6 years’ related work experience, etc.) Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. General: All information provided will be checked and may be verified. Please apply ASAP for this role as recruitment may commence before the end date. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Salaries are based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $60,350 – $81,650 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: Safety Sensitive: Security Clearance: This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Python Developer - $90/hr Remote - Alignerr - Location: Remote About the job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. Organization : Alignerr Position : Python Developer Type : Hourly Contract Compensation : $60–$90 /hour Location : Remote Commitment : 10–40 hours/week Role Responsibilities (Training support will be provided) - Review and evaluate AI-generated Python code for correctness, efficiency, and adherence to best practices. - Solve complex algorithmic challenges and develop high-quality Python solutions. - Provide clear, human-readable explanations for code logic and problem-solving strategies. - Identify and flag edge cases, bugs, or ambiguities in AI responses. Requirements - Bachelor's or better in Computer Science or a related technical field. - Deep expertise in Python, including modern frameworks (Django, Flask, FastAPI) and advanced language features. - 3-5+ years of professional experience writing production-level Python code. - Exceptional written communication skills to explain abstract technical concepts. Preferred : - Prior experience with data annotation, RLHF, or evaluation systems. Application Process (Takes 15-20 min) - Submit your resume - Complete a short screening - Project matching and onboarding $60 - $90 an hour

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today. Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now! Position Overview: We are looking for a Staff Data Engineer/Scientist looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from large language models, natural language processing, and time-series predictive analytics. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that’s of interest to you. We offer generous relocation benefits for eligible candidates. Responsibilities: Assembles large, complex sets of data to support AI/ML algorithm implementation Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources Curate and maintain data that is stored in support of metrics and evaluation Design, build, test, maintain, and automate data collection/pipelines Develop Dashboards for Data Analytics. Implement Artificial Intelligence/Machine Learning algorithms Using Agile methodologies to develop software Required Qualifications: B.S. in data science, AI/ML, computer science, or related field Minimum 6 years of relevant experience as a Data Engineer/Scientist Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars) Active TS/SCI U.S. Government Security Clearance with a recent Full-Scope Polygraph (FSP) Preferred Qualifications: M.S. or PhD in data science, AI/ML, computer science, or related field Experience with Gitlab, DevSecOps utilizing test-driven development, containers, (e.g. Docker, Docker Compose), cloud services (e.g. AWS), tools for distributed computing (e.g. Spark, Pyspark) Location: King of Prussia, PA Situated less than an hour outside of Philadelphia and hosting the largest mall on the east coast, King of Prussia offers the urban feel sought in the city, while also giving opportunities to experience the beauty and history found only in Pennsylvania. What We Offer: Comprehensive medical/vision/dental insurance packages Company contributions to qualified HSA accounts 401k retirement plan with industry leading company contributions 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events 13 paid holidays Upfront tuition assistance for approved degree programs Annual bonus program based on company and employee performance Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance 4 weeks paid Parental Leave Employee assistance program (EAP) EHS/Environmental Requirements: This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources. ITC & Security Clearance Requirements: This position requires an active TS/SCI U.S. Government Security Clearance with a recent Full-Scope Polygraph. Visa Restrictions: No visa sponsorship is available for this position. Pre-employment Screenings: Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.

Description Fluidra is looking for a Senior Data Analyst to join our team in Carlsbad, CA . WHAT YOU WILL CONTRIBUTE The Senior Data Analyst reports to the EVP of Manufacturing, Operations & Supply Chain and is responsible for turning operational data into actionable business insights across Fluidra’s North American operations. This is a business-facing role focused on analysis, interpretation, and executive communication rather than building data infrastructure. Leveraging an established SQL Server environment and support from technical resources, the role delivers executive-ready dashboards, predictive models, and AI-driven insights to improve forecasting, inventory health, and overall supply chain performance. The position operates with high autonomy and ownership and works closely with executive leadership, plant managers, supply chain teams, and the corporate Data & Analytics group. Additionally, you will: Business Analytics & Executive Communication Coordinate and partner with Plant Managers and Supply Chain leaders on analytical reviews and monthly/quarterly business reviews. Transform complex operational data into compelling executive presentations with clear narratives and actionable recommendations. Challenge assumptions and bring a business mindset to data interpretation — not just report what happened, but explain why and what to do next. Develop and manage executive dashboards covering manufacturing throughput, conversion productivity, cost efficiency, inventory health, booking/shipping/backlog, fill rate, OTIF, and logistics KPIs. Serve as the analytical voice in leadership meetings, driving decisions through data. Advanced Analytics, Predictive Modeling & AI Leverage existing SQL Server infrastructure to build predictive models for demand, inventory, freight, capacity planning, and cost to serve. Conduct scenario modeling to quantify cost–service–risk trade-offs and support strategic decisions. Use AI/ML and automation to streamline recurring reporting and improve analytical speed and accuracy. Identify anomalies, emerging risks, and improvement opportunities across the supply chain. Manufacturing & Operations Analytics Partner with Plant Managers to analyze and improve Conversion Productivity, OEE, labor efficiency, scrap and yield variances, throughput stability, and service levels. Lead analytical deep dives to understand root causes of excess & obsolete inventory and operational inefficiencies. Support productivity initiatives through robust data analysis, financial modeling, and operational insights. Present findings to plant leadership with clear recommendations and follow-up actions. Supply Chain, Logistics & Distribution Analytics Analyze freight and transportation costs (carriers, lanes, modes), identify savings, and support contract decisions. Track distribution performance: cost per unit/order, carrier reliability, on-time delivery, and network flow. Support Distribution Centers with labor analytics, warehouse productivity models, and space optimization. Build total landed cost models by SKU, channel, and region. Demand, Forecasting & S&OP Support Measure forecast accuracy (MAPE, bias, error decomposition) and identify drivers of variance. Analyze seasonal demand patterns and support capacity/inventory positioning strategies. Partner with the Demand and Supply Planning teams to design and deliver monthly Demand reporting. Strengthen S&OP through consistent KPI reporting and data harmonization. Support working capital optimization through inventory analytics. Data Infrastructure & Tools Leverage and enhance existing SQL Server databases and data models. Design and maintain Power BI and Tableau dashboards used by leadership and operational teams. Work with the technical team to integrate data across ERP (Oracle, Epicor), WMS, and TMS environments. Develop Python scripts for automation, advanced analytics, and machine learning applications. Cross-Functional Collaboration Serve as an analytical partner to Operations, Finance, Supply Chain, IT, and Distribution leaders. Coordinate with the corporate Data & Analytics team on technical requirements and data governance. Ensure KPI alignment and data consistency across functions and systems. Train operational teams on self-service analytics tools and build data literacy. WHAT WE SEEK 7+ years in data analytics, business intelligence, or advanced analytics. Proven experience with manufacturing, supply chain, logistics, or operations datasets. Hands-on experience applying predictive modeling / machine learning to real operational scenarios. Experience analyzing freight, distribution, or transportation costs strongly preferred. Demonstrated ability to present to and influence senior executives. Experience coordinating business reviews or analytical discussions with cross-functionalstakeholders. Technical Skills Advanced SQL for data extraction, modeling, and analysis. Expert proficiency in Power BI (required); Tableau experience is a plus. Strong Python skills (automation, analytics, ML). Solid foundation in statistics, forecasting, and optimization techniques. Experience with ERPs (Oracle, Epicor, SAP), WMS, and TMS data flows. Familiarity with Snowflake is a plus. Business & Communication Skills Exceptional presentation and storytelling skills. Ability to simplify complex data for non-technical stakeholders. Strong business acumen — understands how operations, supply chain, and finance connect. Comfortable coordinating meetings and driving decisions through data. Ability to thrive in a fast-paced, demanding environment while adapting to shifting priorities. Approachable, professional, and positive attitude that fosters effective relationships across all levels. Self-starter capable of working independently with minimal supervision. EDUCATION Bachelor’s degree in Data Science, Analytics, Business, Engineering, Statistics, Supply Chain, or a related field is required. Master’s degree or MBA is a plus. WHAT WE OFFER An exciting opportunity to dive in and begin your career with a company that offers a competitive total rewards package that includes: Flexible vacation 9/80 work week schedule (EVERY OTHER FRIDAY OFF!) with subsequent Fridays WFH 11 paid Holidays Full range of health benefits including medical, dental & vision, short & long-term disability 401(K) matching (100% of first 3% contributed, 50% of the next 2%) Health and wellness programs / gym reimbursement Educational assistance up to $7,000 per year On-site self-service café / free gourmet coffee stations Company sponsored FUN events! Generous product discounts WHO WE ARE Fluidra is a publicly listed company focused on developing innovative products, services and IoT solutions for the residential, commercial and wellness pool markets, globally. The company operates in over 45 countries, has over 7,000 employees and owns a portfolio of some of the industry’s most recognized and trusted brands: Polaris ® , Jandy ® , CMP ® , S.R. Smith ® , and Zodiac ® . We also sell products under the Cover ‐ Pools ® , iAquaLink ® , Grand Effects ® , Del ® and Nature 2® names. With these combined resources we’re able accelerate innovation in critical areas like energy-efficiency, robotics and the Internet of Things. Our focus is on creating the perfect pool and wellness experience responsibly. We take our mission to heart, and our employees embody these guiding principles in everything we do: passion for success, honesty & trust, customer collaboration, teamwork and inclusion, learn and adapt, excellence and innovation. Don't meet every single requirement listed? At Fluidra, we thrive on building an inclusive workspace, so if you are excited about this role and your past experience doesn't align perfectly, we encourage you to apply anyways! You may be just the right candidate for this role or another role in the organization. Fluidra is proud to be an equal opportunity employer. Fluidra recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, or any legally protected characteristic. Expected salary range is $92,000 - $96,000. Fluidra offers a comprehensive total rewards / benefits program that includes base salary, annual bonus based on performance of individual and company objectives, competitive 401K matching, paid vacation and sick time, full range of health benefits, educational assistance, etc. The actual salary offer will carefully consider a wide range of factors, including skills, qualifications, experience and location. Your recruiter will provide additional details on our compensation and total rewards program.

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking a talented Senior Data Engineer to join StubHub's Data team. In this role you will be responsible for designing and building the underlying systems and pipelines for centralizing StubHub’s internal plus third-party data. Our team's goal is to empower organizations across the company to transform data for analysis and reporting, new product development, experimentation, and machine learning. This includes developing the core infrastructure for the data lake and data warehouse, creating foundational data models and data pipelines, and building shared tooling to ease the process of creating high-quality, trustworthy data assets. As a Senior Data Engineer on the Data Platform team, you will contribute to core infrastructure, frameworks, and analytical data layers. You will also play a key role in defining the culture and expectations of what great data engineering looks like, and mentoring others on the team to reach that bar. We are looking for the right person that is passionate about the power of both data and software development fundamentals, and can use them in tandem to create a data ecosystem that is principled, maintainable, and extensible to the hypergrowth happening at StubHub.You will specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City , CA What You'll Do: Build and operate scalable data pipelines with robust QA, monitoring, and alerting Create shared tooling to improve data practitioner (data engineering, analytics engineering, data science) productivity and quality across the company Influence the direction for key infrastructure and framework choices for data pipelining and data management Contribute to core cross-functional data models Launch data platform features that have immediate impact on the velocity of innovation and ultimately growth of the business Manage individual initiatives—Setting priorities, deadlines, and deliverables based on your technical expertise Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team Specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical What You've Done: 7+ years of relevant development experience—in data platform or data engineering—in fast paced environments Very high SQL proficiency, with experience in both transactional RDBMS systems and distributed systems Strong programming and system design skills Experience designing and developing large-scale, efficient batch and streaming data processing Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights Experience mentoring, delegating to, and reviewing the work of junior team members Passion for great data end-user experience and stewardship Experience with : Data pipeline management and orchestration tools, such as Airflow Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift Batch processing systems, such as Spark What We Offer: Accelerated Growth Environment : An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale. Top Tier Compensation Package : Competitive base, equity, and upside that tracks with your impact. Flexible Time Off : Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed. Comprehensive Benefits Package : Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range $200,000 — $250,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found here We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. The Data Governance team builds services, systems, and product features to help our customers govern all their data assets through the full lifecycle within Snowflake. We provide fine grained secure data access, data privacy guards, data lineage tracking, and auditability access. We leverage ML techniques across our product offerings to make the lives of Data Stewards easier. AS A SENIOR SOFTWARE ENGINEER IN DATA GOVERNANCE AT SNOWFLAKE, YOU WILL: Work closely with Product Managers to drive projects from idea formulation to design and implementation Design and build data governance features Solve real business needs at large scale by applying your software engineering and analytical problem solving skills Make trade-offs to design the best system for Snowflake customers' needs Collaborate with engineers across teams to help deliver cross-functional initiatives OUR IDEAL CANDIDATE WILL HAVE: 7+ years of hands-on software engineering experience Fluency in Java required Experience with database fundamentals including working with SQL Systems programming skills including multi-threading, concurrency, etc. Some experience in database security or building data governance systems is a bonus BS in Computer Science or a related field; Masters or PhD preferred Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Join National Dentex - a leading healthcare organization specializing in the dental industry! We offer a full spectrum of specialized products, services, and technologies to address any dental restoration need. Currently, we have 50 labs throughout the country. We are seeking to fill a number of key positions within our organization including this Data Entry Clerk opportunity at NDX Green in Heber Springs, AR . The regular hours for this position are from 2:00 PM to 11:00 PM, Monday through Friday, and subject to change from time to time. This is a full-time position featuring employee benefits including: health, dental, vision, disability, and life insurance; paid holiday, vacation, and sick time; 401K with company contribution; and tuition reimbursement! Primary Responsibilities and Essential Functions of the Position: Receives case, opens case and disinfects case for production while wearing proper PPE Accurately enter information on incoming cases into computer system and generate work cards Cleaning and drying of case pans Code cases in preparation for data entry Make necessary changes to computer work cards to place cases on-hold, change dates, codes, etc. Scanning of paperwork for each case for electronic storage Look up previous paperwork in files as needed for case information or reworks All other duties as assigned. Skills and Abilities Required: Computer skills Must be able to read, write, speak and understand English Strong attention to detail Multi task Minimum Education and Experience Required: Preferred: High school diploma or GED equivalent No experience required Hazardous Materials or Equipment Used: Disinfectant process chemicals Personal protective equipment as required. Office equipment Insert hazardous materials and/or equipment Physical Requirements: Regularly required to sit, stand, walk, and/or reach Exhibit fine motor skills and/or perform repetitive motions Good hand-eye coordination Good manual dexterity Ability to walk and stand for long periods of time Repeated bending and kneeling Vision capabilities: Depth perception, attention to detail and/or color Push, pull, lift, and/or carry up to 25 pounds

About Gruve Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. About the Role We are looking for a detail-oriented Junior Data Analyst with strong analytical capabilities and excellent communication skills. In this role, you will support data-driven decision-making by collecting, analyzing, and presenting insights while working closely with cross-functional teams. The ideal candidate is comfortable using Microsoft tools such as Copilot and SharePoint to enhance productivity and streamline data workflows. Key Responsibilities Collect, clean, and analyze data from multiple sources to support business and operational decisions Develop reports, dashboards, and visualizations using Excel, Power BI, or similar tools Assist in organizing, maintaining, and managing data repositories within SharePoint Leverage Microsoft Copilot to automate tasks, improve efficiency, and support data analysis processes Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders Collaborate with cross-functional teams to understand data requirements and deliver timely insights Ensure data accuracy, consistency, and integrity across all reports and deliverables Basic Qualifications Bachelor’s degree in Data Analytics, Business, Statistics, Information Technology, or a related field (or equivalent practical experience) Strong verbal and written communication skills Working knowledge of Microsoft Excel and basic data analysis techniques Familiarity with Microsoft Copilot and SharePoint Basic understanding of databases, data structures, and reporting concepts High attention to detail with strong problem-solving abilities Preferred Qualifications Experience with Power BI, SQL, or other analytical tools Knowledge of data visualization best practices Ability to manage multiple priorities, meet deadlines, and work in a fast-paced environment This position is being hired for a Gruve customer and is open only to U.S. citizens or Green Card holders; no sponsorship will be provided. Why Gruve At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you. Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

SUMMARY: Under the direction of the Vendorization Manager, perform a variety of specialized tasks relating to the retention, documentation, maintenance and support of vendor records and files. HOURLY RANGE: $18.8331- $26.5001 per hour SIGN-ON BONUS! $250 sign-on bonus after the completion of 90 days of employment at IRC with work performance in good standing. $500 sign-on bonus after the completion of 6 months of employment at IRC with work performance in good standing. Make sure to tell us if an IRC employee referred you when you get to that question on your application! Please include their full name. This incentive is only available for new employees. Rehires are not eligible for the sign-on bonuses. GENEROUS BENEFITS PACKAGE AND EMPLOYEE PERKS: To view our benefits package and employee perks, please click HERE . ESSENTIAL DUTIES AND RESPONSIBILITIES: Process incoming and outgoing mail as directed by the Manager; dates and times vary depending on the need of the unit. Maintain electronic vendor scanning into scanning system under vendor files as directed. Adhere to established quality control processes to ensure accuracy and legibility of scanned vendor file records in accordance with biennial records retention. Review spreadsheets as assigned for biennial records retention checking. Process documentation requests from other units and put into Teams channels or messages, importing to Microsoft Teams as needed. Maintain insurances, licenses, and Cardiopulmonary Resuscitation (CPR) in VSN, Sandis, UFS, Atlas, as per manager instructions. Verify insurance instructions based on Inland Regional Center’s Board of Director’s service provider insurance requirements, making sure the most up to date requirements are met. Work with insurance companies, vendors, and providers for the most up to date insurance information as appropriate with Title 17 regulations per vendor type. Performs data entry and maintenance of the Uniform Fiscal System (UFS) vendor files, VSN tracker and Atlas program as directed by Manager. Assist the Vendorization Manager maintain the Service Provider Directory Portal by verifying information on emails/documentation sent from Vendorization Manager, adding information into VSN, and scanning into the vendor’s file. Attend training sessions as required. Update knowledge through readings, briefings, meetings, emails, and trainings by researching regulations, Department of Developmental Services (DDS) technical bulletins and regional center compliance review policies. Vendorization Manager will also provide documentation to all staff. Drive vehicle or travel to other offices or locations as needed. Assist Vendorization manager with checking business entities every 6 months. Assist Vendorization manager with unutilized rates in the rate table by running New Generation Software (NGSeports to identify them. Assist Vendorization manager with 24-month non-utilization reports. Performs as a team player, contributing to the harmony and wellbeing of the team as well as the community while respecting others. Work cooperatively and effectively with others. Perform as a member of the team, answer questions, share expertise and contribute to the harmony of the team. Use office equipment appropriately and report the need for any repairs. Keep work area neat and orderly. Observe all safety rules and comply with IRC’s Injury and Illness Prevention Plan and Workplace Violence Prevention Plan.­­ Ability to handle a hybrid work environment consisting of working in the office and remotely at home while maintaining work productivity and efficiency; communicate via telephone calls, video conference calls, emails, and chat rooms. Handles change well and are flexible and adaptable in dealing with interruptions, new priorities, and new assignments. Maintain good attendance and punctuality. Good verbal and written communication skills. Keep manager informed of pending work, work in progress and problems encountered. Utilize agency’s IT systems as assigned, maintaining security and following agency’s protocol and procedures, rules, and requirements. Assure that consumers’ rights and dignity are maintained in the provision of services. Perform different or additional work as assigned. MINIMUM POSITION REQUIREMENTS: High school diploma. Work experience in office clerical work or related work experience preferred. Demonstrated ability to type 45 wpm; 10-key entry proficient. Computer knowledge and experience with Adobe PDF and Microsoft Office Suite (Excel, Word, Outlook). Experience with maintaining computerized record systems. Bilingual preferred. Must be organized and detail oriented. Ability to follow oral and written direction. Full use of an automobile, possession of a valid California driver's license and liability insurance for the minimum amount prescribed by law or ability to provide for independent transportation. Must have and maintain a safe driving record. We are proud to be an EEO employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

About The Company: At Scribd Inc. (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. This posting reflects an approved, open position within the organization. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd Inc. employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd Inc., we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieve G oals, achieve R esults within their job responsibilities, contribute I nnovative ideas and solutions, and positively influence the broader T eam through collaboration and attitude. About the Team and Role The ML Data Engineering team is the backbone of Scribd’s commitment to a safe and trustworthy library. We build high-throughput, ML-driven data pipelines that process hundreds of millions of documents to detect, classify, and mitigate untrustworthy content. As the Manager of ML Data Engineering , you will lead a specialized team of engineers responsible for building scalable ML based foundations that can detect and deal with harmful content. You aren't just moving data; you are building the infrastructure that allows ML models to reason across our entire corpus in batch and real-time. Your team’s work ensures that our safety classifiers, and automated policy enforcement tools are performant, scalable, and resilient. You will sit at the intersection of Big Data, AI, MLOps, and Platform Integrity, directly impacting the safety of millions of our users. You Will Lead and grow a high-performing engineering team: Manage, mentor, and recruit a world-class team of data and ML engineers. Foster a culture of technical excellence, operational rigor, and deep empathy for the user safety mission. Architect scalable ML data pipelines: Design and oversee the development of distributed data processing systems capable of handling hundreds of millions of documents. Ensure these pipelines support both batch and real-time inference for content moderation and risk detection. Build the "Trust" scores: Develop and maintain the foundational data layers - including semantic embeddings, metadata extracts, and behavioral signals - that power our Content Trust ML models. Partner on AI/LLM Integration: Work closely with the Search & Discovery and Applied Research teams to integrate ML/LLM-based reasoning into our trust pipelines, enabling more nuanced understanding of complex policy violations. Drive Operational Excellence: Establish SLAs for infrastructure, ensuring our automated enforcement systems are both fast and explainable. Cross-functional Leadership: Collaborate with Product Managers (Content Trust), Legal/Policy teams, and Data Science to translate evolving regulatory requirements (like the DSA) into robust technical architectures. You Have Leadership Experience: 8+ years of total engineering experience, with 1+ year specifically in a people management or technical lead role within a Data or ML Engineering organization. Scale Expertise: Proven track record of building and operating production-grade data pipelines at massive scale (100M+ entities) using technologies like Spark, Flink, Kafka, or Airflow. ML Infrastructure Fluency: Deep understanding of the ML lifecycle, including feature engineering, model deployment (MLOps), and vector databases (e.g., Pinecone, Milvus, or Weaviate). Trust & Safety Context: Prior experience building systems for content moderation, fraud detection, spam prevention, or digital rights management. Technical Breadth: Strong proficiency in Python, Scala, or Go, and experience with cloud-native infrastructure (AWS/GCP, Kubernetes, and Snowflake/BigQuery). Strategic Communication: Ability to explain complex architectural trade-offs to non-technical stakeholders in Legal, Policy, and Product. Ideally, you have (Bonus Points) LLM Pipelines: Experience building RAG (Retrieval-Augmented Generation) pipelines or managing the data infra for fine-tuning Large Language Models. UGC Experience: Background working with large-scale User Generated Content (UGC) ecosystems and the unique challenges of unstructured document data. Regulatory Knowledge: Familiarity with the technical requirements of global safety regulations such as the Digital Services Act (DSA) or the UK Online Safety Act. Adversarial Mindset: Experience building systems that must defend against malicious actors and evolving platform abuse patterns. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $163,000 [minimum salary in our lowest geographic market within California] to $254,500 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $134,500 [minimum salary in our lowest US geographic market outside of California] to $241,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $171,000 CAD[minimum salary in our lowest geographic market] to $244,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd Inc. Are you currently based in a location where Scribd Inc. Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States : Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada : Ottawa | Toronto | Vancouver Mexico : Mexico City Benefits, Perks, and Wellbeing at Scribd Inc. *Benefits/perks listed may vary depending on the nature of your employment with Scribd Inc. and the geographical location where you work. Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Short-term/long-term disability plans 401k/RSP matching Onboarding stipend for home office peripherals + accessories Learning & Development allowance Learning & Development programs Quarterly stipend for Wellness, WiFi, etc. Mental Health support & resources Free subscription to the Scribd Inc. suite of products Referral Bonuses Book Benefit Sabbaticals Company-wide events Team engagement budgets Vacation & Personal Days Paid Holidays (+ winter break) Flexible Sick Time Volunteer Day Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools:We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Marketing Data Operations Analyst - REMOTE. In this role, you will leverage data to enhance marketing effectiveness through targeted segmentation and database management. You'll collaborate with regional marketing teams to align data strategies with business objectives while ensuring data integrity and compliance with privacy laws. Your contributions will shape the future of our marketing initiatives and drive measurable results across various channels. Accountabilities Apply best practices to uphold high standards of data quality, facilitating precise audience and segmentation reporting and analysis. Lead continuous efforts to improve data quality within the database to maximize marketable audiences and database utilization. Create and develop segmentation models for improved audience targeting. Gather marketer requirements to build effective audience lists for marketing campaigns. Proactively maintain communication with the marketing team to define audience criteria, ensuring alignment with regional priorities. Collaborate with marketers to create and test new audience segments, enhancing database performance. Conduct ongoing sessions with the marketing team to improve understanding and utilize the marketing database effectively. Ensure compliance with privacy laws (e.g. GDPR) for both new and existing data. Collaborate with the Data Operations Team and IT to ensure the marketing database is up-to-date. Support in the processing and management of incoming lead data, ensuring accurate classification. Requirements 5+ years of experience working with large-scale databases focusing on B2C/B2B data. Strong knowledge of marketing data sources, tools, and technologies, including CRM systems and marketing automation platforms. Expertise in data analysis and reporting, with proficiency in SQL or equivalent. Strong attention to detail and an analytical mindset with the ability to turn data into actionable insights. Excellent communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders. Problem-solving mindset with attention to detail, capable of working independently and taking initiative. Benefits Comprehensive benefits program aimed at maintaining physical, mental, and financial health. Support for work-life balance and community engagement. Flexible remote working options. Opportunities for professional growth and skill development. Collaborative team environment fostering innovation and problem-solving. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 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.

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

Job Description The Senior Superintendent is expected to have a minimum of 10 years experience; preferably in the data center and advanced technology market. The Senior Superintendent work closely with all members of the project team and supervise all craft employees. Responsibilities will include but may not be limited to the following: Oversee, manage, and mentor project superintendents and assistant superintendents. Participate during the proposal and pre-construction phase of a project to develop a project plan and validate overall schedule duration. Lead a collaborative field planning process through the use of short interval planning and production tracking. Create construction schedules, perform regular updates, monitor logic relationships, and insert new activities and impacts. Coordinate jobsite logistics and maintain relationships with neighboring occupants. Negotiate with authorities having jurisdiction to achieve project occupancy milestones. Lead DPR’s injury-free environment safety program. Coordinate subcontractor work scopes, scheduling, and resource-loading in conjunction with DPR’s self-perform work crews. Foster the development of foreman to grow into future superintendents. Professionally represent DPR field operations as primary interface with owner and design team. Qualifications We are looking for a flexible, detail-oriented team player with the ability to manage multiple tasks, produce quality work, and consistently meet deadlines. The successful candidate will possess: Excellent listening skills and strong communication skills. Ability to identify and resolve complex issues. Effective participation in a team environment. Ideally full ABC license. Construction supervisor license. Proficient computer skills in Microsoft Office Suite, project management software (Prolog or similar), and scheduling software (Primavera or similar). 10+ years of experience as a commercial construction superintendent, preferably within DPR’s core market projects. A strong work ethic and a “can-do” attitude. This position is salaried. #LI-RH 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 .

About David AI David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Data Operations team Our Data Operations team powers David AI's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new data pipelines and run them at a massive scale. This means starting from a model capability we want a model to unlock, experimenting with different shapes of data and collection strategies, and validating them with researchers. Once an approach works, we industrialize it, building pipelines that can process audio with reliability, quality, and efficiency. We are relentless operators who thrive in ambiguity, equally comfortable prototyping novel workflows as we are managing large-scale production systems. About this role As a Data Product Operations Lead, you’ll help drive David AI’s Data Factory — designing and scaling the pipelines that turn raw audio into high-quality datasets for frontier AI labs. You’ll take ownership of data products from 0→1 prototypes through 1→N scale, working hands-on to build workflows, validate them with researchers, and run them reliably at production scale. In this role, you will Own end-to-end success of a data pipeline , from early experiments to scaling up production systems that generate high-quality audio data at high volumes. Design and run pipelines that process a high volume of audio data with reliability, quality, and efficiency. Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans. Lead cross-functional workstreams across Ops, Product, and Engineering to build scalable “data factory” systems. Monitor and improve pipeline health , spotting and fixing issues in sourcing, quality, or process. Drive impact with metrics, using throughput, quality, and cost to prioritize and improve. Take full-stack accountability across operations, product, engineering, and customers, solving bottlenecks and ensuring delivery. Your background looks like 2–6 years in high-intensity environments (e.g. founder, strategy consulting, or venture-backed ops). Technical foundation in CS, Industrial Engineering, or similar; SQL required. Systems thinker who can spot leverage points and design for scale and durability. Strong product intuition, able to work with engineers and researchers to get to the right answer fast. High-execution operator: fast, detail-oriented, and uncompromising on quality. Collaborative and low-ego, willing to roll up your sleeves. Bonus points if you have A track record of extreme ownership, caring about outcomes over tasks. Experience in data, ML, or large-scale operations. Benefits Unlimited PTO. Top-notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company-sponsored Barry’s classes.

Job Description: Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own. We’re actively seeking a talented Platform Technology Lead, to join our team in Newport Beach, CA or Omaha, NE. Relocation Assistance may be provided. As a Platform Technology Lead, your primary responsibility will center on data operations within our SaaS Policy Administration platform and its supporting systems. You will oversee the management, integrity, and optimization of data flows across multiple domains—ensuring data accuracy, quality, and availability. The role involves monitoring and maintaining data pipelines, troubleshooting issues, and fostering seamless data integration between billing, claims, customer management, and reporting systems. You will collaborate closely with technical delivery teams, business units, and vendors to support frequent data-related requests and to uphold compliance with industry standards. The ideal candidate will possess strong experience in data service delivery, demonstrate expertise in resolving incidents and performing root cause analysis, and be proficient at documenting processes and solutions. By championing robust data operations, you will play a vital part in supporting platform reliability, regulatory adherence, and an exceptional user experience. How you'll help move us forward: Monitor, troubleshoot, and escalate data pipeline issues; perform root cause analysis. Set up and maintain monitoring dashboards, alerts, and respond promptly to ensure uptime . Manage job schedules, dependencies, and coordinate fixes with engineering teams. Oversee user access, permissions, and audit logs for security and compliance. Investigate and resolve data quality issues; communicate with stakeholders and track recurring problems. Maintain documentation, runbooks, and onboarding materials for incident response and knowledge sharing. Coordinate, validate , and monitor platform/data changes; communicate updates or rollbacks. Provide user support, respond to queries, communicate outages, and deliver training. Support audits and compliance by maintaining documentation and tracking metrics. Use SQL, Python, Tableau, Snowflake, and automation tools to improve operations. Enforce data governance standards and document methodologies for transparency. Work with internal and external teams for secure, scalable integrations and data flows. Enhance observability and proactively address data issues using Splunk, Grafana, and DataDog . Identify and implement improvements for reliability, latency, and cost-efficiency. ​ Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an effective manner. Align data operations with business strategy through close collaboration with leaders, delivery teams, and vendors. Build scalable & reliable solutions with robust security, quality, performance and governance protocols Deliver solutions aligned with modern target state architecture and cloud-based technologies Create and maintain high-level and detailed design artifacts that support data engineering solutions Lead creation and maintenance of automated and scalable test, build and deploy workflows aligned with modern CI/CD practices Promoting a culture of continuous improvement and agile methodologies. Lead code reviews to ensure data engineering standards and best practices are followed Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working The experience you bring: Bachelor’s degree in Computer Science , Information Systems, or related field 5 + years of experience in data operations, with at least 3 years in a lead capacity Deep understanding of SaaS platforms, data architecture, and integration frameworks Experience with data governance, compliance, and security best practices Ability to support non-business hours for major incidents Proficiency in ETL/ELT and big data tools Proficiency in tools such as Snowflake, Post g re SQL , ADO, Control-M , Splunk, SQL, Python, and CI/CD frameworks Proficiency in development languages such as JSON, Python, SQL and Java Experience with AWS Services Strong analytical, problem-solving, and communication skills Vendor management What makes you stand out Expertise with EIS or equivalent policy administration systems, demonstrating advanced knowledge beyond general platform or data operations. Hands-on experience in Agile or SAFe environments, contributing to dynamic and adaptive team cultures. Proven ability to influence and lead cross-functional teams, especially within complex, matrixed organizations. Prior work experience in the insurance or workforce benefits industry, bringing industry-specific insights and best practices. Strong vendor management skills, ensuring successful partnerships and optimized external resource utilization . Exceptional communication skills, allowing the candidate to bridge technical and business audiences effectively. Demonstrated leadership in high-impact operational roles, especially with direct accountability for data governance, compliance, and security. Advanced proficiency in critical tools and technologies such as Snowflake, MuleSoft, Splunk, SQL, Python, and CI/CD frameworks. A track record of solving complex analytical and technical challenges with innovative solutions. You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What’s life like at Pacific Life? Visit Instagram.com/lifeatpacificlife #LI-KP1 Base Pay Range: The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $110,700.00 - $135,300.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Service Analytics Data Analyst Description - Job Summary The Data Analyst, Program Analytics will be a member of the Service Analytics organization, partnering closely with cross-functional stakeholders to define the analytics agenda, translate business objectives into clear requirements, and drive the delivery and adoption of insights. Lead analytics initiatives for a program service by shaping a prioritized roadmap of both tactical and strategic analyses, with a focus on metrics such as funnel conversion, subscriber growth, churn rate, and other key user-base trends. Support a standardized intake and prioritization process and embed insights into regular business reviews, ensuring analytics is integrated into decision cycles across the organization. Perform analytics using Python and SQL to support data-driven decisions. KEY RESPONSIBILITIES Partner with stakeholders to obtain requirements, define success metrics, and translate business questions into analytical initiatives. Shape and maintain an analytics program roadmap, prioritizing projects by business impact, strategic alignment, and resource availability. Define and monitor KPIs, such as funnel conversion, subscriber growth, churn rate, and other user-base trends, to measure program performance and inform decision-making. Support a standardized intake and prioritization process, ensuring transparency and alignment on analytics requests. Collaborate with data engineers, analysts, and BI developers to coordinate the delivery of reports, dashboards, and perform ad hoc analyses. Review draft findings and refine narratives, crafting clear visualizations and presentations that guide executive and operational reviews. Embed insights into regular business forums, team meetings, leadership reviews, program checkpoints, so analytics drives action across the organization. Perform analytics using SQL and Python to support data-driven decision making and empower stakeholders with timely, accurate insights. Develop insights-driven dashboards to monitor key service metrics, empowering stakeholders with clear, actionable visualizations. Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects. Identifies new opportunities, technologies, and partner collaborations to bring value to the business and data science domain. Represents the business at data science events, forums, boards. Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science/analytics domain initiatives and conferences. Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups. Drives innovation and integration of new data science related technologies and practices into projects and activities in the business. Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions. Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans. Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field. Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills Agile Methodolog Business Intelligence Computer Science Dashboard Data Analysis Data Management Data Modeling Data Quality Data Science Data Visualization Data Warehousing Extract Transform Load (ETL) Machine Learning Power BI Python (Programming Language) R (Programming Language) SAS (Software) SQL (Programming Language) Statistics Tableau (Business Intelligence Software) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "