Senior data analyst- jobs in Auburn, WA - 1,285 jobs

Baer is looking for Senior Oracle Integration & Reporting Developer (OSB / OIC / BIP) for a 3+ month project located onsite in Seattle, WA or Dallas, TX. Title: Senior Oracle Integration & Reporting Developer (OSB / OIC / BIP) Location: Onsite (Mon-Thur) Duration: 3 months Rate: Hourly Plus Expenses Reimbursed Alignment: W2 or C2C Role Summary We are seeking a Senior Oracle Integration & Reporting Developer with strong hands-on experience in OSB, OIC, and BI Publisher to support a large-scale ERP transformation. The role focuses on building and supporting integrations and reports across Oracle ERP Cloud and telecom systems, with active involvement in SIT, UAT, and go-live support. Description: Design, develop, and support integrations using Oracle Service Bus (OSB) and Oracle Integration Cloud (OIC). Integrate Oracle ERP Cloud (SCM, Finance) with OSS/BSS, network systems, logistics partners, and external vendors. Develop BI Publisher (BIP) reports and business documents (invoices, POs, shipping docs). Support System Integration Testing (SIT), User Acceptance Testing (UAT), and defect resolution. Analyze integration errors, logs, and data issues across ERP and middleware. Support deployment, cutover, and post-go-live hypercare. Collaborate with functional, technical, and business teams. Requirements: 7+ years of experience in Oracle integration and reporting development. Strong hands-on expertise in OSB, OIC, and Oracle BI Publisher. Experience integrating Oracle ERP Cloud with external systems. Strong SQL and troubleshooting skills. High-volume integration experience preferred. Oracle certifications (Integration Cloud, BI Publisher). Experience with ERP Cloud events, OCI streaming, or ERP transformations. Company Overview: Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions. Baer is an equal opportunity employer including disability/veteran. ALL OPEN JOBS

A global consulting firm is seeking a Senior Manager for ServiceNow consulting. In this role, you will lead technology transformation projects, manage client relationships, and develop strategies for successful engagements. Candidates should have a bachelor's degree, relevant experience in ServiceNow, strong project management skills, and the ability to develop and motivate teams. This position offers the chance to influence transformative processes and work with diverse clients. Competitive compensation is provided, reflecting the candidate's expertise. #J-18808-Ljbffr

A leading financial services company in Seattle is seeking a Tax Credits Operations expert. This role focuses on resolving customer inquiries regarding tax credits, educating small businesses, and improving processes. Ideal candidates have at least 2 years of customer-facing experience in technology or financial services. A detail-oriented, proactive problem solver is essential. The company offers competitive compensation and a collaborative workplace environment. #J-18808-Ljbffr

A leading SaaS company is seeking a Principal Engineering Manager for its Core Platform & AI Systems in Seattle. This role involves driving the technical roadmap, leading a skilled engineering team, and ensuring platform scalability and reliability. You will collaborate closely with cross-functional teams, manage mission-critical systems, and have the opportunity to shape the core technology foundation of the company. Competitive compensation and a supportive culture are part of the offer. #J-18808-Ljbffr

Team Intro: The Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform. This role is responsible for developing and executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R&D teams in both US and globally. You are playing a key role in empowering TikTok platform to achieve overall payment success by way of payment security. You will contribute to the development of industry-leading capabilities to protect TikTok and our users from emerging payment threats and ensure secure payment growth. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. Responsibilities: * Work with large datasets to solve problems that could be ambiguous and nuanced using a variety of analytical and statistical approaches. * Conduct quantitative analysis using statistical regression, machine learning, as well as hypothesis testing and present analysis and recommendations in a user friendly manner to propel business growth and customer satisfaction. * Develop a scientific approach to measure KPI fluctuation, impact of business initiatives, and customer experience and design indexes for continuous monitoring. * Design and implement foundational tests including backtesting for measuring the effectiveness of credit risk strategy and segmenting user profile. * Create documentation articulating the sampling process, underlying assumptions, design of test, success metrics, and conclusion. * Have familiarity with best practices and pragmatic approaches for addressing common issues including data quality, seasonality, insufficient training dataset, etc. * Perform predictive analysis and support business partners with revenue and loss forecasts, budgeting, risk and incident management to proactively address foreseeable challenges. * Conduct deep dive analysis and diagnosis to identify patterns, concentrations, correlations, root causes to provide transparency into business and product performance. * Partner with Product, Strategy, Operations and cross-functional teams to inform, influence, support, and execute strategy and decisions. * Demonstrate understanding of common challenges facing TikTok business, key products, and the competitiveness of the marketplace.Minimum Qualifications: * 3+ years of progressive success in roles of increasing responsibility. * 3+ years working in data science, risk, machine learning, and A/B testing. * 3+ years of coding experience in Python, Hive, SQL and familiarity with machine learning functions, options, forecasting models. * 5+ years of experience with Tableau or other data visualization tools (e.g. Tableau). Preferred Qualifications: * Knowledge of the payments industry is highly desirable. * Risk analytics/operations, data science experience or similar quantitative business responsibility for financial services, eCommerce, or operational performance highly desirable. * Strongly skilled at manipulating and integrating data from a variety of sources. * Proficiency with test design, feature creation, model development, and documentation.

About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Work with large, complex data set to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development. Construct and implement metrics to enhance measurement and governance of the business integrity associated with ads and the quality of ads. Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Research and develop analysis, forecasting, and optimization methods to improve the quality of ads products. Mentor junior-level Data Scientists. Qualifications Must have a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, Mathematics, or a related quantitative field, and 3 years of related work and/or research experience. In lieu of a Bachelor's degree, employer will accept an additional 2 years of related work and/or research experience. Of the required experience, must have 3 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing language SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing; Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; Researching and developing analyses, forecasting, and optimization methods to improve product quality using SQL, time series, or causal inference experiments; Conducting exploratory and predictive analysis using Python, R, or Scala programming language; Conducting forecasting and experiment analysis with presentations through visual displays of quantitative information, using visualization tool Tableau or Excel; and Building, tuning, and validating statistical models for regression and classification problems in Python. Type: Full time, 40 hours/week Location: Bellevue, WA Salary Range: $196914 - $312867 per year To Apply, click the apply button below. Contact *********************** if you have difficulty submitting resume through the website. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ****************************** #IND-DNI

Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages. Research and develop evaluation methods to improve the quality of Siri's user facing products. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that Siri engineering will use every day. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Siri Search data structures and metrics, advocating for changes where needed for product development. Partner closely with Siri search engineering teams on core machine learning algorithms and systems that are part of Siri's ability to understand and respond to requests. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation. Hands-on experience with online AB testing platform. Experience designing, analyzing and interpreting experiments. Hands-on experience with on-device logging and metrics development. Experience with large language models, leveraging LLM for evaluation and product improvement. Ph.D. in machine learning, computer science, statistics, operations research or related areas. 8 years of relevant work experience. Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala). 5 years of relevant work experience. B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas.

Hi, Greetings Hope you are doing great! I would like to update you on an urgent open position with our esteemed client. Please go through the Job Description. Send me your updated resume and expected rate for the below position. Note: Client is willing to Provide the Re-location Assistance Role: Test Analyst - JAVA, Selenium, Testing (Interview will be On 8th September 2017 and offers will be rolled out quickly) Duration: Full TIme Location: Issaquah, WA Qualifications Basic • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • At least 2 years of experience with Information Technology Preferred • Minimum of at least 2 years of experience in test automation using Ranorex • Understanding of one or more Estimation methodologies, Knowledge of Quality processes. • Skills: Analytical abilities, Strong Technical Skills, Communication skills, ability to work in a multiple / diverse stakeholders environment, People coordination • Strong automation expertise, with hands on experience in .Net . • Experience in developing automation for SAP and service virtualization testing (Includes web Services and APIs •Experience in retail domain is preferable •Experience in test management and reporting tools like HP ALM and Jira • Analytical and Communication skills • Experience and desire to work in a Global delivery environment Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Additional Information All your information will be kept confidential according to EEO guidelines.

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward. We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders. About the Role: As a Data Analyst, Fraud - Small & Micro Business (SMB), you will be part of Remitly's Identity & Trust Analytics Team. Your mission is to leverage analytical methods to identify, prevent, and mitigate fraud impacting our small and micro business customers globally. You will develop a deep understanding of Remitly's fraud detection systems, regional SMB risk profiles, and operational processes to improve fraud defenses while maintaining a seamless experience for legitimate businesses. You'll partner with Product, Engineering, Business Management, and Compliance to customize and optimize fraud models and workflows for SMB transactions, integrating data from legacy and new platforms. This hybrid role requires 2-3 days per week in the Seattle office. You Will: Become an expert on Remitly's SMB fraud data (e.g., scams, chargebacks, promo abuse, business onboarding risk). Build data-driven models and dashboards to analyze and monitor SMB fraud exposure, balancing customer experience with operational efficiency. Collect, normalize, and analyze data from legacy SMB prebriefs, transaction logs, and onboarding systems to identify fraud trends and behavior anomalies. Partner with Business Management and Product to continuously improve small-business verification, KYC/KYB, and compliance workflows. Design and evaluate experiments and A/B tests to measure fraud control effectiveness and minimize false positives. Develop and track risk metrics that quantify SMB fraud exposure, policy compliance, and system performance. Provide actionable insights and influence the development of fraud detection strategies, tools, and automation. You Have: 2+ years in an analytics or fraud/risk analysis role within fintech, e-commerce, or digital payments. Experience with fraud or trust analytics, ideally including small-business or merchant ecosystems Bachelor's degree in mathematics, engineering, economics, or another quantitative discipline (or equivalent experience). Proficiency with SQL and hands-on experience analyzing large datasets (Python, R, or statistical modeling experience preferred). Strong understanding of fraud taxonomies (scams, chargebacks, identity theft, onboarding risk, and promo abuse) Demonstrated ability to distill business problems, develop hypotheses, perform analysis, and communicate clear recommendations. Excellent data storytelling and communication skills; ability to translate complex findings into business decisions. Compensation Details. The starting base salary range for this position is typically $112,000-$120,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role. Our Benefits: Flexible paid time off Health, dental, and vision + 401k plan with company matching Paid parental, medical, military and family care leave Mental Health & Family Forming Benefits Employee Stock Purchase Plan (ESPP) Continuing education and travel benefits Our Connected Work Culture: Driving Innovation, Together At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most. Remitly is an E-Verify Employer At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations. Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000-$259,000 USD

Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way - the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at ****************** to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity What you'll do You'll develop and deploy groundbreaking data solutions, collaborating with talented engineers and product experts to transform complex problems into elegant solutions. With proven experience in data science, machine learning, statistical modeling, and/or deep learning, you will bring a passion for problem-solving, turning data into actionable insights, and collaboration with supporting teams. Strong programming skills in Python, SQL, Spark, and other data science tools are essential. This role will be based in our local office Locations. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest. Each day can be different here at Nexxen, but some of the things you can expect to be doing are: Design and implement scalable data science-based solutions, data processing, and machine learning pipelines Optimize models and develop new and scalable methodologies to improve data quality Collaborate with other Engineering and Product teams to understand product requirements and create optimal/scalable solutions Communicate technical concepts and findings to both technical/non-technical team members Write scalable and clean code What you'll bring: Education in Computer Science / Engineering or a related technical field with 7+ years of overall experience 5+ years of work experience in building production-level data science-based solutions Extensive Mar-tech/Ad-tech knowledge (Ad-tech SSP preferred) Experience in Neural Networks, Deep Learning, TensorFlow, and/or PyTorch Experience with Spark and SQL Significant experience with Python and machine learning packages (e.g., sklearn, keras) Experience in implementing machine learning pipelines Creative problem-solving and analytical skills with experience in statistical analysis and hypothesis testing. Excellent verbal and written communication skills to present complex data findings to technical and non-technical stakeholders What we would like to see: MS/PhD in Computer Science / Engineering or a related technical field Experience with latency-sensitive scalable machine learning models Supply Side Platform (SSP) Ad Tech experience At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don't match this job description perfectly, don't worry! We would rather see your application than risk missing out on your potential to make an impact. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 -210,000 the time of posting, with the potential of an incentive or bonus While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-KN1 #LI-Hybrid For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice

The Staff Data Analyst - Marketing & Revenue Analytics (GTM) acts as the strategic bridge across our entire revenue organization-spanning Marketing, Sales, and the Customer Office. Unlike traditional analyst roles that focus on a single silo, this position demands a holistic thinker who can trace the data thread from the first marketing click to the renewal contract. Our business is pivoting to an Enterprise-first strategy, creating a dynamic, high-growth environment. We need a partner with a Growth Mindset who views complexity as an opportunity to build structure. In this role, you will move beyond reporting numbers to partner with business leaders, driving actionable insights, optimizing resource deployment, and championing process accountability. This role supports the data behind business planning, empowering business leaders to make the final calls. This is a remote-first role and is open to applicants located within Canada and the United States where we comply with our legal hiring entities. In this role, you will report to the Senior Manager, Analytics. WHAT YOU'LL DO: Strategic Partnership & Dynamic Planning: Partner with business teams on continuous planning cycles (moving beyond just annual AOP). Provide the analytical foundations they need to make informed decisions. Reverse Funnel Modeling: Collaborate with leadership to calculate the required inputs (MQLs, Opportunities, Demos) needed to hit revenue targets based on conversion rates. Resource Optimization: Analyze territory balance, account segmentation, and "whitespace" to enable leadership to position the Revenue Team (Sales, AMs, CSMs) for maximum success. Full Lifecycle Analytics: Assess campaign performance and ROI (beyond vanity metrics), monitor sales funnel health/leakages, and track customer retention/health scores to shift from reactive "save plays" to proactive monitoring. Activity Intelligence: Leverage tools like Gong to analyze engagement quality and competitor mentions, answering critical questions like: "Are we talking to the right people? Is the sentiment positive?" Cross-Functional Data Partnership: Leverage Product Adoption Intelligence to identify "At-Risk" signals and partner with Finance to ensure data aligns for accurate reporting. Jira Accountability & Structure: Partner with the Senior Manager of Analytics to bring structure to the team's work. You will help manage backlogs and ensure visibility, ensuring we are building the right things at the right time. Documentation & Best Practices: Partner with the teams on the creation and maintenance of data dictionaries and enablement documentation in Confluence. Partner with the dbt guild to drive best practices and optimize the data warehouse environment. Perform other related duties as assigned WHAT YOU'LL NEED: Strategic GTM Experience: 10+ years in BI/Analytics with the Revenue Ecosystem Acumen to connect the dots between Marketing campaigns, Sales territories, and Customer Success portfolios. You act as a strategic partner, not just support, anticipating needs before they are asked. Technical & Visualization Mastery: Advanced SQL (Redshift) and dbt skills paired with expert-level Tableau mastery. You are tenacious in overcoming data blockers to build trusted, self-service interfaces. The “Enterprise” Stack: Deep familiarity with the full go-to-market landscape including Marketing (Marketo, GA4, Ad Tracking platforms, Content Creation Engines, Goal Cast), Sales & CS Platforms (CRM/Salesforce, Gainsight), and Revenue Intelligence (Gong). Communication & Influence: An exceptional Storyteller and Diplomat who can present complex insights to diverse stakeholders. You understand that context often comes from conversations, not just queries and can deliver high-level strategic insights without getting lost in the details. Agile Execution: Experience with Jira to drive structure. You are Agile & Growth-Oriented, adapting quickly to pivots (like our Enterprise strategy) and focusing on solutions rather than fixed mindsets. WHO YOU ARE: Solution seeker. You're focused on tackling new challenges, solving problems, and moving the business forward-and you don't wait to be asked. Lifelong learner. You have a growth mindset - you're here to learn, experiment, seek, apply, and provide feedback, share what works with your team, and move on from what doesn't. Resilient adapter. In the face of change and challenges, you bring a thoughtful, calm approach, and a focus on finding the new opportunity. Intentional collaborator. You build positive working relationships across the business, bringing people together to foster new opportunities and to facilitate the efficient flow of information. Critical challenger. You have the trust in your team to ask difficult questions in order to get to the best end result. Active communicator. You listen actively and communicate ideas and information clearly, inclusively, and proactively. Integrated thinker. You look beyond your role and responsibilities to understand how your team's work drives broader organizational goals. Accountable owner. You take pride in the work you're responsible for with a mindset of ultimate accountability and reliability for the outcomes. Bar-raiser. You step up to help your team grow and succeed, even when that means going beyond what might be expected. In all we do, our six guiding principles light the way: Step Up: Dare to go beyond the expected to achieve greatness. #StepUp One Team: Make Hootsuite a place we soar together by respecting each other's individuality, building trust, and showing up for the team. #OneTeam #FreeToBeMe Customer Obsessed: Focus relentlessly on helping our customers succeed. #CustomerObsessed Go Fast, Be Agile: Widen our competitive advantage by committing to speed and simplicity over perfection and complexity. #GoFastBeAgile Play to Win: Commit to building an incredible, profitable company for our customers, our employees, and our stakeholders. #PlayToWin #NoExcuses Neighbours & Allies: Give back to our communities and be an ally. #SocialForGood #Allies Accommodations will be provided as requested by candidates taking part in all aspects of the selection process. #LI-AK1, #LI-Remote Canada Pay Range For This Role$100,700-$141,100 CADUS Pay Range For This Role$112,300-$157,300 USD Use of AI in Hiring Hootsuite uses artificial intelligence (AI) to support our recruitment process. These tools may assist with screening and assessing applicants and / or summarizing interview feedback. All final hiring decisions are made by human decision-makers who use their professional judgement to review and evaluate relevant candidate information in addition to AI outputs. For more information about how we use AI and your rights, please see our Careers Privacy Policy.

Job DescriptionAircall is the world's leading integrated customer communications and intelligence platform for growing businesses. Trusted by over 20,000 companies worldwide, Aircall unifies voice and digital channels into one seamless platform, offering one-click integrations with leading CRMs and over 100 business tools. With real-time, AI-powered insights and feedback, AI agents, and automation, we help sales and support teams save time on routine tasks, uncover opportunities, and deliver exceptional customer experiences. With a global team of 600+ across nine offices, Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, Mexico City, Aircall is transforming how businesses connect with their customers, driving smarter conversations, deeper relationships, and measurable success. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the team Our Data team is the backbone of Aircall's decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights About the role As a Senior Data Analyst, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.Your mission @ Aircall: Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention Provide actionable insights and compelling narratives to influence major decisions at the C-level Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality A little more about you: 5+ years of hands-on technical experience in a high growth environment Proficiency in SQL for deriving insights Proficiency in Python Data-driven, structured and solution oriented with extensive experience in building rigorous experiments Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels You have an insatiable curiosity and are biased toward action This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.Aircall is constantly moving forward. We're building new roads to complete our journey, and we're taking people with us who have the same builder mentality. Let's grow together: Aircall is a place for those who dare to be bold and seek responsibility, excellence, and the opportunity to push themselves to new heights. We're creating a place where great people trust one another and thrive together. People flourish at Aircall and now is the time to be part of the team and the journey we're on. Why join us? \uD83D\uDE80 Key moment to join Aircall in terms of growth and opportunities\uD83D\uDC86️ ♀️ Our people matter, work-life balance is important at Aircall\uD83D\uDCDA Fast-learning environment, entrepreneurial and strong team spirit\uD83C\uDF0D 45+ Nationalities: cosmopolite & multi-cultural mindset\uD83D\uDCB5 Competitive salary package & equity\uD83C\uDFE8 Medical, dental, and vision insurance is 100% covered\uD83D\uDCC8 401k plan with company matching!✈️ Unlimited PTO - take the time you need to come to work feeling great!⭐️ Wellness, internet, and childcare reimbursements\uD83D\uDC9A Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. 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.

The Financial System Platform (FSP) team is looking for an Oracle Applications Quality Test Analyst with expertise in Oracle financials to play a key role in quality, designing, implementing and extending the applications used in Expedia. Core activities will include gathering and defining requirements, configuration of standard applications, performance analysis, functional design of application extensions, and end user support for multiple modules in multiple geographies. As a member of the Test Engineering team, you will design, implement, and continuously improve testing methodologies that guarantees the quality of software developed by FSP. Job Responsibilities: · Interact with business customers to understand and document their business processes and requirements. · Perform gap analysis to determine e-Business suite system configuration and development changes. · Create business requirements documents, system configuration documents, detailed functional design documents, test plans and test cases, user training documents and implementation documents. · Work with the business and development team to design and implement system modifications. · Build tools and extendable frameworks as applicable to build self-service automated test suites · Design test stubs or harnesses to enable automated testing and data generation · Develop a comprehensive suite of scalable, reusable and automated test cases to provide full test coverage for our applications. · Quality - demonstrate appropriate quality and thoroughness in your work. · Serve as a member of the Test Engineering team and drive quality process improvements across the organization · Partner directly with our Application Engineers, Software Development Engineers (SDEs), Functional Analysts, Technical Program Managers, and Customers to understand features and continuously identify opportunities to build and augment test suites preemptively in the long run. Basic Qualifications · Functional knowledge of Oracle e-Business suite release R12 in a multi-organization and multi-set of books environment. · Knowledge of the underlying Oracle RDBMS tables, integration points and technology processes are critical to success in this role. · Demonstrated experience in scalable automated test design, test strategy, and test execution · BS in Computer Science or equivalent combination of technical education and work experience. · Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations · Knowledge of industry standard test automation tools and experience in developing product test harnesses and instrumenting products to gather test results · Excellent communication skills and the ability to generate and communicate meaningful quality improvement metrics in software development · Expert in software quality and testing methodologies · Comfortable working in a fast paced, highly collaborative, dynamic work environment · Experience with low-level ad-hoc query tools (Toad, SQLPlus) and a working knowledge SQL queries. Preferred Qualifications · Experience developing software and frameworks in non-proprietary platforms · Functional knowledge of the Oracle e-Business suite · PL/SQL development skills, familiarity with open source tools/programming languages will be a plus. · Experience driving quality for highly available enterprise systems · Familiarity with automation testing suites such as Quick Test Professional (QTP), Oracle's Application Testing Suite (OATS) and experience in Open Script scripting is highly preferred. · Solid interpersonal skills and the ability to effectively organize and communicate across functional and technical lines are critical. · The Financial System Platforms team is a fast paced, dynamic environment. A strong desire to work in such an environment is an important key to success. · Ability to work independently with limited general supervision. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally. About The Role We're seeking a Senior Data Scientist to join our Nuclear OS team and build the AI/ML capabilities that will transform nuclear construction. This senior-level position offers the unique opportunity to develop predictive analytics and machine learning models that learn from historical and real-time data to predict future outcomes, detect anomalies, and optimize nuclear project delivery. You'll work with cutting-edge AI/ML technologies and data integration platforms, deploying models that directly impact the efficiency, safety, and cost-effectiveness of fleet-scale nuclear deployment. Key Responsibilities Predictive Analytics Development: Host and develop various ML models that learn from historical and real-time data to predict future outcomes or detect anomalies, including schedule slippage prediction, equipment failure forecasting, and risk assessment AI Model Development & Deployment: Develop, train, and deploy machine learning models within the Palantir Foundry environment, managing model development, training, and inference at scale while ensuring models operate on governed, quality-controlled data Anomaly Detection & Optimization: Introduce ML algorithms on numeric datasets to identify outliers or predict issues, applying time-series anomaly detection to identify unusual fluctuations that could indicate problems Algorithm Optimization: Fine-tune and optimize predictive analytics algorithms to improve the accuracy of fault detection and predictive maintenance, adjusting machine learning models based on historical data to enhance prediction accuracy AI-Driven Decision Support: Build AI capabilities that augment human decision-making with AI intelligence, helping project managers identify potential risks before they become problems and enabling real-time adaptation to prevent cost overruns Data Analysis & Visualization: Perform comprehensive data analysis and create visualizations that communicate insights to stakeholders, enabling data-driven strategy and decision-making Model Training & Continuous Improvement: Train models on historical data from previous construction projects and continuously improve them with incoming data from ongoing projects, scheduling retraining as new data accumulates Cross-Project Learning: Develop fleet-wide learning capabilities where data from each project is aggregated to enable performance benchmarking and cross-project AI, creating a self-improving fleet deployment model AI/ML Infrastructure: Build and maintain pipelines for training and running models at scale using Python ML libraries (TensorFlow/PyTorch), ensuring auditability and transparency of outputs Simulation & What-If Analysis: Develop simulation engines and what-if analysis tools to simulate schedule adjustments or supply chain disruptions using unified data from the ontology Collaboration & Communication: Work closely with engineering, construction, and operations teams to understand business problems, translate them into data science solutions, and communicate findings to both technical and non-technical stakeholders Required Qualifications Experience 7-12 years of experience in data science, machine learning, or advanced analytics Proven track record of developing and deploying production ML models at scale Experience with predictive analytics, anomaly detection, and optimization algorithms Technical Skills Machine Learning: Deep expertise in AI/ML systems, including supervised and unsupervised learning, time-series analysis, and anomaly detection Programming: Advanced proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn) for model development and deployment Data Platforms: Familiarity with machine learning frameworks and model deployment; experience with Palantir Foundry or similar data integration platforms preferred Analytics & Visualization: Strong skills in data analysis, statistical modeling, and data visualization tools Model Operations: Experience with MLOps, model versioning, monitoring, and continuous training pipelines Big Data: Experience working with large-scale datasets and distributed computing frameworks Professional Competencies Strong analytical and problem-solving skills with ability to translate business problems into data science solutions Excellent communication skills to explain complex technical concepts to non-technical stakeholders Ability to work independently and lead data science initiatives Experience with A/B testing, experimentation, and statistical analysis Commitment to model transparency, auditability, and ethical AI practices Preferred Qualifications Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field Experience in construction, manufacturing, or other complex project-based industries Knowledge of digital twin concepts and IoT sensor data analysis Familiarity with natural language processing and large language models Experience with AI-driven forecasting and optimization in regulated environments Background in causal inference and econometric modeling Experience with graph neural networks or knowledge graph applications Understanding of nuclear industry operations or highly regulated industries Publications or contributions to open-source ML projects Benefits Competitive compensation packages 401k with company match Medical, dental, vision plans Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $150,000 - $173,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.Recruiting Fraud AlertYour safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through ******************************* email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page: Careers

Job Description Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world's leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place for India, we're hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. Requirements We are looking for a Senior Data Scientist to build and implement cutting-edge models within AI-agentic environments to drive product performance. You will work closely with Product and cross-functional teams to shape the roadmap, identify opportunities where data can unlock growth and build scalable data products that deliver real value to our customers. We are looking for someone to hit the ground running by delivering against an ambitious timeline to MVP and the architectural runway to build something that doesn't exist yet. You'll play a pivotal role in shaping how we use data to build smarter products, make better decisions, and accelerate growth. This is a hands-on, high-impact role where your models and insights will directly influence customer experience and business strategy. Candidates who have a demonstrable background in taking AI/ML data product to market will take preference above all else. What you'll do Deliver business impact by developing and deploying world-class data science solutions across critical areas of the product and business. Build and implement models within AI-agentic environments that drive product performance - including Recommender Systems (collaborative filtering, content-based filtering), Ranking algorithms, Reinforcement Learning and Deep Learning (heterogeneous graph transformer). Drive velocity of delivery by efficiently scoping, prioritising, and executing projects while maintaining a high technical bar. Solve novel problems quickly and creatively, adapting new technologies and frameworks to emerging business needs. Partner with Product to co-create data-informed roadmaps, ensuring feature priorities align with measurable outcomes. Identify and tackle opportunities and risks across the business that can be addressed through data. Communicate clearly with senior stakeholders by translating complex technical problems into concise, digestible business terms. Mentor and lead other data scientists, analysts, and engineers, fostering a culture of collaboration, curiosity, and innovation. What you'll bring Proven record of building and implementing models at velocity to drive tangible business outcomes. Expertise in machine learning, applied statistics, and modern AI/ML techniques. Strong grasp of experimentation frameworks and designing for scalability and maintainability in production. Exceptional communication skills with a demonstrated ability to distil technical complexity for non-technical audiences. Deep understanding of product development cycles and how data science integrates into product decisions. Experience mentoring or leading a data science team. Strong coding skills in Python (or similar) and familiarity with key data frameworks and pipelines. Curious, proactive mindset with the ability to spot unseen opportunities and innovate under ambiguity. Benefits At Serko, we aim to create a place where people can come and do their best work. This means you'll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: A competitive base pay Medical Benefits Discretionary incentive plan based on individual and company performance Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways Flexible work policy

Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world's leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place for India, we're hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. Requirements We are looking for a Senior Data Scientist to build and implement cutting-edge models within AI-agentic environments to drive product performance. You will work closely with Product and cross-functional teams to shape the roadmap, identify opportunities where data can unlock growth and build scalable data products that deliver real value to our customers. We are looking for someone to hit the ground running by delivering against an ambitious timeline to MVP and the architectural runway to build something that doesn't exist yet. You'll play a pivotal role in shaping how we use data to build smarter products, make better decisions, and accelerate growth. This is a hands-on, high-impact role where your models and insights will directly influence customer experience and business strategy. Candidates who have a demonstrable background in taking AI/ML data product to market will take preference above all else. What you'll do * Deliver business impact by developing and deploying world-class data science solutions across critical areas of the product and business. * Build and implement models within AI-agentic environments that drive product performance - including Recommender Systems (collaborative filtering, content-based filtering), Ranking algorithms, Reinforcement Learning and Deep Learning (heterogeneous graph transformer). * Drive velocity of delivery by efficiently scoping, prioritising, and executing projects while maintaining a high technical bar. * Solve novel problems quickly and creatively, adapting new technologies and frameworks to emerging business needs. * Partner with Product to co-create data-informed roadmaps, ensuring feature priorities align with measurable outcomes. * Identify and tackle opportunities and risks across the business that can be addressed through data. * Communicate clearly with senior stakeholders by translating complex technical problems into concise, digestible business terms. * Mentor and lead other data scientists, analysts, and engineers, fostering a culture of collaboration, curiosity, and innovation. What you'll bring * Proven record of building and implementing models at velocity to drive tangible business outcomes. * Expertise in machine learning, applied statistics, and modern AI/ML techniques. * Strong grasp of experimentation frameworks and designing for scalability and maintainability in production. * Exceptional communication skills with a demonstrated ability to distil technical complexity for non-technical audiences. * Deep understanding of product development cycles and how data science integrates into product decisions. * Experience mentoring or leading a data science team. * Strong coding skills in Python (or similar) and familiarity with key data frameworks and pipelines. * Curious, proactive mindset with the ability to spot unseen opportunities and innovate under ambiguity. Benefits At Serko, we aim to create a place where people can come and do their best work. This means you'll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: * A competitive base pay * Medical Benefits * Discretionary incentive plan based on individual and company performance * Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways * Flexible work policy

HD Fowler Company is looking for a full-time Junior Data Analyst who's passionate about turning data into actionable insights. You'll work closely with cross-functional teams to collect, clean, and analyze data, helping to drive smarter business decisions. This is a great opportunity for someone early in their data career who wants to grow their technical and analytical skills in a collaborative environment at our Corporate Office in Bellevue, Washington. Seattle Metro area applicants only. Key Responsibilities: * Extract, clean, and organize data from various sources using SQL and other tools. * Build and maintain interactive dashboards and reports using Power BI and other reporting tools. * Assist in identifying trends, patterns, and insights that support business goals. * Collaborate with business units to understand reporting needs and deliver clear, accurate analyses. * Support the development and documentation of data processes, ensuring data quality and consistency. * Work with team members to improve database performance and optimize queries. * Stay current with data analytics best practices and emerging tools. Qualifications: Required: * Proficiency in SQL. * Experience using Power BI, Tableau, or equivalent BI visualization tools. * Strong attention to detail and data accuracy. * Basic understanding of relational databases and data modeling concepts. * Solid problem-solving and communication skills. * Bachelor's degree in Data Analytics, Computer Science, Statistics, Business, or a related field (or equivalent practical experience). * Understanding of key performance indicators (KPIs) and data storytelling. Preferred: * Familiarity with Python or R for additional data manipulation. * Experience with cloud-based data systems (e.g., Azure, AWS, or Google Cloud). * Experience with report writing and BI within Acumatica ERP. What We Offer: * Collaborative team environment with mentorship from experienced analysts * Pay Range DOE: $31.25 - $40.87 per hour * In-Office Working Hours Primarily Monday - Friday between 7AM-5PM * 8 Paid Holidays * Competitive Medical, Dental & Vision Benefits * Flex Spending Programs for health and dependent care * $100k Group Life and AD&D Insurance - Premiums paid by the Company! * Generous Paid Time Off Accrual starting at 120 Hours per year (plus 10 hours at 90 days!) * Generous Discretionary Bonuses and Retirement Profit Sharing * Traditional 401(k) & Roth with up to 5% company match * Gym membership reimbursement up to $50 per month Who We Are: HD Fowler is a family-owned company that has been in business for over 100 years and is the single best distributor of water and wastewater solutions in the Northwest. With over 27 branches in six states, we are the premier source for superior products coupled with unparalleled expertise and support. This is your opportunity to be a part of an established company and to thrive in an environment where you are recognized and rewarded. HD Fowler is proud to be an Equal Employment Opportunity (EEO) Employer committed to providing a diverse and inclusive environment free of discrimination and harassment. We respect and embrace the unique backgrounds, talents, and perspectives of all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or any other protected characteristics. We promote a drug & alcohol-free workplace; all job offers are contingent on results of drug screening. No recruiting agencies, please Company Website: ************************

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities: Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes. Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP. Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development. Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation. Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting. Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.). Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices. Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing. Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions. Required Qualifications: 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments. Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spa Cy, and/or Hugging Face. Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures. Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems. Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases. Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale. Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment. Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively. Preferred Qualifications: Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies. Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD). Certifications related to Epic, FHIR, or other health IT platforms are a plus. Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation. Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery. Benefits & Compensation: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.