Senior data scientist jobs in Modesto, CA - 23 jobs

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $201,700 - $267,300 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people's lives around the world. And we know that success requires head, heart, AND guts - all three, every day - coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us to #IgniteYourCareer! Your role at Clorox: Clorox is transforming its data & technology capabilities and culture to accelerate purpose-driven business growth. We are looking for a passionate Data Scientist to join our team and help us build the future of forecasting and business planning. In this role, you will be responsible for developing and deploying forecasting models using a variety of techniques, including machine learning, statistics, and data mining. You will also be responsible for designing and implementing data pipelines to collect, clean, and prepare data for forecasting models. Forecasting team would drive this transformation through embedding predictive analytics and data science capabilities into the global decisions, empowering business units with scalable, reusable models. This position reports to Associate Director, Enterprise Analytics. In this role, you will: Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration Oversee the solution's ML Ops from a model standpoint, own the management of data & model drift Retrain the models regularly, upgrade the models and associated technical pipelines, such as addition of signals or adaptation of the models to a change in input source / format Do first line and second line model maintenance incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debugging Collaborate with cross-functional stakeholders/SMEs throughout product solution lifecycle to ensure requirements are met and solutions are fully integrated in business processes to deliver value Evaluate existing and new data science tools and techniques, lead the development of data science best practices across the enterprise What we look for: 8 plus years of overall data science experience 3 plusyear business experience in a Data Science or Advanced Analytics role in the industry (must have demonstrated working with business units vs academic) Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases Experience in data management, e.g., wrangling, extraction, normalization Ability to build industrialized data pipelines Proficiency in SQL and Python (required) R / Scala Knowledge of big data framework like Spark is preferred Ability to navigate, collaborate and deliver production-grade code in a complex industrialized code base Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD Experience using business intelligence tools like Power BI / Tableau Experience in Azure and Databricks are a plus Understanding of design and architecture principles is a plus Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytelling Strong project management skills to stay on top of the timelines and deliverables Autonomy and creativity with an ability to design suitable technical solutions to solve business problems Bachelor's degree in Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics, or related quantitative disciplines (Master's degree preferred) Workplace type: Hybrid or Remote We seek out and celebrate diverse backgrounds and experiences. We're looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning. At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility / adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $116,700 - $229,800-Zone B: $107,000 - $210,700-Zone C: $97,200 - $191,500All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.

Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are looking for someone who's not just seeking a job, but someone who wants to make an impact. In this role, you'll have the opportunity to lead, innovate, and contribute to the growth of a company that values great service and lasting customer relationships. This position offers the chance to work in a fast-paced, dynamic environment that's constantly evolving. Main responsibilities: The Data Science team at Albertsons Companies is looking for a Lead Data Scientist to work for the most transformational food and drug retailers in the United States. Albertsons operates over 2,300 stores under 19 well-known banners including Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen and Carrs. The company reported revenue of over $60 billion from over 34 million weekly shoppers and is the third largest private company in the country. Data Science at Albertsons is inspired to build best in class customer experience and revolutionize the food and drug retail industry. We are looking for people who are excited in re-imagining the grocery experience by harnessing the power of AI and digital technologies. The Data Science team collects and relies on big data from existing stores and customer interactions at the 2300 nationwide stores and beyond. We are a highly driven team that applies data science to delight our customers, to improve store operations, to optimize supply chain and to proactively improve product lifecycle. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into business impacts on regular basis. You will work closely with other data scientists and business partners in identifying and defining data science projects, building machine learning algorithms and models on top of existing data platforms. The candidate will have a background in computer science or a related technical field with experience working with large data sets and applying data-driven decision making. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action. This position is primarily located in Pleasanton, CA, but the candidate can work virtually from anywhere in the US. Our other affiliated teams are in Boise, Idaho, or one of our main regional offices (Seattle, WA, Portland, OR, Pleasanton CA, Denver CO, Dallas TX, Chicago, IL, or Fullerton, CA, Phoenix, AZ). Big part of your responsibilities will be project-based. You will be responsible for identifying and providing solutions and tooling built on predictive modeling, machine learning algorithms that satisfy various business needs Use machine learning algorithms to generate customer behavior segmentation, to build recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts Build data science solutions to solve complex problems and fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams Extract insights and scale sentiment analysis from comments and other forms of feedback using Natural Language Processing. Develop adaptable NLP solutions including text categorization, domain classification, event detection, and topic modeling Design experiments and deliver A/B Testing analysis to improve customer experience in physical store and on digital platforms Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communications We are looking for candidates who possess the following: Master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields 7+ years of industry experience in applying data science and modeling methodologies: regression model, ensemble modeling, recommendation algorithm ,NLP, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc. Background in building Recommendation systems or Personalization is strongly preferred 5+ years of experience and proficiency in Python and/or Spark-ML 5+ years of SQL development skills writing complex queries, transforming data, mining structured and unstructured data 3+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop Proven track record of leveraging data science solutions to drive impactful business decisions Proven ability to effectively distill and communicate complex machine learning solutions to different audiences Experience with Azure Databricks and Google Cloud is a strong plus Experience using data access tools and building dashboards with large datasets from multiple data sources is a plus We also provide a variety of benefits including: Competitive wages paid weekly Associate discounts Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!) Time off (vacation, holidays, sick pay). For eligibility requirements please visit my ACI Benefits Leaders invested in your training, career growth and development An inclusive work environment with talented colleagues who reflect the communities we serve Our Values - Click below to view video: ACI Values The salary range is $ 157,900 to $ 205,300 annually. Starting salary will vary based on criteria such as location, experience, and qualifications. There may be flexibility for exceptional candidates. A copy of the full job description can be made available to you. #LI-MF1

This individual contributor is primarily responsible for designing and developing data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by transforming, cleansing, and storing data for consumption. This role is also responsible for developing detailed problem statements outlining hypotheses and their effect on target clients/customers, analyzing and investigating complex data sets and summarizing key characteristics, selecting, manipulating and transforming data into features used in machine learning algorithms, training statistical models, deploying and maintaining reliable and efficient models through production, verifying model performance, and collaborating with internal and external stakeholders across domains to develop and deliver statistical driven outcomes.Essential Responsibilities: Promotes learning in others by proactively providing and/or developing information, resources, advice, and expertise with coworkers and members; builds relationships with cross-functional/external stakeholders and customers. Listens to, seeks, and addresses performance feedback; proactively provides actionable feedback to others and to managers. Pursues self-development; creates and executes plans to capitalize on strengths and develop weaknesses; leads by influencing others through technical explanations and examples and provides options and recommendations. Adopts new responsibilities; adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work; champions change and helps others adapt to new tasks and processes. Facilitates team collaboration to support a business outcome. Completes work assignments autonomously and supports business-specific projects by applying expertise in subject area and business knowledge to generate creative solutions; encourages team members to adapt to and follow all procedures and policies. Collaborates cross-functionally and/or externally to achieve effective business decisions; provides recommendations and solves complex problems; escalates high-priority issues or risks, as appropriate; monitors progress and results. Supports the development of work plans to meet business priorities and deadlines; identifies resources to accomplish priorities and deadlines. Identifies, speaks up, and capitalizes on improvement opportunities across teams; uses influence to guide others and engages stakeholders to achieve appropriate solutions. Develops detailed problem statements outlining hypotheses and their effect on target clients/customers by defining scope, objectives, outcome statements and metrics. Designs and develops data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by transforming, cleansing, and storing data for consumption by downstream processes; writing and optimizing diverse SQL queries; and demonstrating advanced knowledge of database fundamentals. Analyzes and investigates complex data sets and summarizes key characteristics by employing data visualization methods; and determining how best to manipulate data sources to discover patterns, spot anomalies, test hypotheses, and/or check assumptions. Selects, manipulates, and transforms data into features used in machine learning algorithms by leveraging techniques to conduct dimensionality reduction, feature importance, and feature selection. Trains statistical models by using algorithms and data mining techniques; testing models with various algorithms to assess the input dataset and related features; and applying techniques to prevent overfitting such as cross-validation. Deploys and maintains reliable and efficient models through production. Verifies model performance by demonstrating expertise in the practice of a variety of model validation techniques to assess and discriminate the goodness of model fit; and leveraging feedback and output to manage and strengthen model performance. Collaborates with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by delivering insights and values from heterogeneous data to investigate complex problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical audiences. Qualifications Minimum Qualifications: Minimum three (3) years experience working with Exploratory Data Analysis (EDA) and visualization methods. Minimum three (3) years machine learning and/or algorithmic experience. Minimum three (3) years statistical analysis and modeling experience. Minimum three (3) years programming experience. Minimum one (1) year experience in a leadership role with or without direct reports. Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum five (5) years experience in data science or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for the work experience requirements. Additional Requirements: Knowledge, Skills, and Abilities (KSAs): Advanced Quantitative Data Modeling; Algorithms; Applied Data Analysis; Data Extraction; Data Visualization Tools; Machine Learning; Relational Database Management; Microsoft Excel; Design Thinking; Business Intelligence Tools; Data Manipulation/Wrangling; Data Ensemble Techniques; Feature Analysis/Engineering; Open Source Languages & Tools; Model Optimization; Strategic Thinking; Deep Learning/Neural Networks; Project ManagementPrimary Location: California-Pleasanton-Pleasanton Tech Cntr Building A Regular Scheduled Hours: 40 Shift: Day Working Days: Mon, Tue, Wed, Thu, Fri Start Time: 09:00 AM End Time: 05:00 PM Job Schedule: Full-time Job Type: Standard Employee Status: Regular Job Level: Individual Contributor Job Category: Data Science Public Department Name: Po/Ho Corp - KP Insight HQAA - 0308 Travel: No Employee Group: NUE-PO-01|NUE|Non Union Employee Posting Salary Low : 162900 Posting Salary High: 210760 Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.Click here for Important Additional Job Requirements. Share this job with a friend You may also share this job description with a friend by email or social media. All the relevant details will be included in the message. Click the button labeled Share that is next to Submit.

Sajix Inc. is a global health-tech company headquartered in Pleasanton, California, focused on transforming healthcare delivery through advanced digital solutions. Since its founding in 2006, Sajix has specialized in developing integrated healthcare information systems that streamline clinical, financial, and administrative operations for healthcare organizations around the world. With operations in the United States, United Kingdom, Singapore, and India, Sajix serves clients across North America, Europe, Asia, and Africa. Its flagship platform, iHelix, is a modular, scalable solution designed for use in diverse healthcare settings-from single-doctor practices to large hospital networks. Sajix offers a comprehensive suite of digital healthcare solutions, including: iHelix Lifeeazy AI-based Revenue Cycle Management - optimizing financial workflows through automation All products are built with global standards in mind, supporting multiple languages and currencies, and comply with international healthcare regulations such as CCR and CCD. Through strategic partnerships and a commitment to innovation, Sajix continues to lead the industry in delivering intelligent, interoperable, and patient-centric healthcare solutions. Website: ************* Job Description About the Role: As a Trainee Data Scientist at Sajix, you will assist in building predictive models and running experiments to derive insights from complex healthcare data. Key Responsibilities: Assist in cleaning and preprocessing structured and unstructured data. Support the development of statistical and machine learning models. Participate in exploratory data analysis and feature engineering. Document findings and present insights to non-technical stakeholders. Qualifications Requirements: Bachelor's or Master's in Computer Science, Statistics, or Data Science. Basic knowledge of Python/R and libraries like Pandas, Scikit-learn, or NumPy. Understanding of statistics, probability, and machine learning fundamentals. Additional Information These trainee roles are offered in collaboration with Sajix's __init__py program-a structured, hands-on learning initiative aimed at nurturing the next generation of full-stack developers and technology professionals. The program offers tiered training tracks. Participants gain real-world experience through live projects, personalized mentorship, and exposure to industry-relevant tools and practices. This collaboration ensures that trainees are well-equipped with practical skills and knowledge to excel in their roles. For more information about the __init__py program, visit initpy.sajix.com.

We are looking for a Data Scientist to work for a leader within energy industry. You will be responsible for the following: One of the major ones was through cost predictive analytics with Machine Learning. They took project level data and applied a machine learning model through adjustments and feature sets to produce the cost predictive outcomes. This led to all in cost per project through class 1/class 2 accuracy and they operationalized this in undergrounding and they will do this in other workstreams. Schedule and trying to forecast milestone dates around data accuracy, explore ML for predictive analytics with scheduling on projects. If they know estimating date is this, what is the dependency date. Extrapolate beyond that what would be their execution start date. Another work stream they have started. Cost predictive modeling: Existing model they can adapt and use Scheduling Model: They have an initial model but will need to be tuned in the future, make enhancements and there could be opportunity to develop further They will be the main person doing the R&D and be the one who helps with presentations to business. Articulate this information to high level key members (Directors and above). You will need to cross train individuals and write up documents for others to work from in the future. Challenges: Their projects go multi-year, and they do not understand the potential total cost would be to PG&E cash flow requirements. They don't have good clarity on how much a project will cost on cash flow requirements on multiyear projects. Goal is to get Class 1 / Class 2 in first year of a multiple year project. Insight into financials two years prior to when you would typically receive. Milestones are not up to date and they need to follow in sequence and lack of maintenance and if they can predict each milestone with accuracy they would be in a better place. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Data Scientist and creating predictive models and different types of models - Jupiter and Python skills - Experience with operationalization and seen value of those outcomes in Machine Learning (owned and developed) o Experience creating multiple models you can highlight - Understand tabular data and information - Experience presenting to leadership on your processes and updates - Strong command of languages like Python, R, and SQL for data manipulation and model development - Experience with mathematics and statistics - Linear Regression Models, Xtree boosts, Jupyter is what the client uses most but will be expected to know other ML models - Understanding and full ray of modeling to ensure they can expand the current models - Palantir Foundry skills - Prior experience working for this company

Your Role The Advanced Analytics team works in partnership across the entire Blue Shield of CA enterprise to accelerate business outcomes through the application of AI/machine learning, statistical methodologies, or unstructured data analysis techniques to uncover insights, predict behaviors, and ultimately drive automation to create "intelligence at scale". The Data Scientist, Consultant will report to the Director, Advanced Analytics. In this role you will solve problems which range from but are not limited to, text analytics of customer feedback, conversations, and clinical notes, predicting clinical disease progression, understanding the impact of population health programs, clustering member behaviors, creating propensity models, and geospatial analysis of populations to uncover social determinants of health.

Tailored Brands, Inc. is a leading omni-channel specialty retailer of menswear, including suits and a broad selection of business casual offerings as well as the largest provider of tuxedo rental products in the U.S. and Canada. We operate retail stores in all 50 states and Canada. Our U.S. retail stores are operated under the brand names of Men's Wearhouse, Jos. A. Bank, Men's Wearhouse and Tux, and K&G Fashion. Our Canadian stores are operated under the brand name of Moores in ten provinces. Our purpose is we help people love the way they look and feel for their most important moments. We accomplish this by putting customers at the center of every decision, rallying together to achieve common goals, and striving for excellence and continuous improvement. We help fulfill this purpose by valuing differences and knowing they make us better and showing up with courage to always do the right thing. If you want to make a difference, be part of a great team and grow, you might be a perfect fit. About the Job We currently have an exciting opportunity for Data Scientist - Machine Learning, to join our Enterprise Analytics team. In this role, you will work with stakeholders across the organization, including Data Engineering teams. You will leverage your Technical, Analytical, and Business acumen to help data-driven decision-making. Projects will range from long-term data products that utilize advanced analytics and machine learning capabilities to short-term analytics that help stakeholders with tactical day-to-day decision-making. You will have the opportunity to work on high-priority data science and analytics projects that move the needle within the organization and witness the impact of your work firsthand. What You'll Do | Key Accountabilities * Partner closely with the other Data Scientists and Data Engineers on the team to produce machine learning models, statistical models, and complex statistical analyses. * Develop code in the Vertex.ai platform for machine learning model training, deployment, and integration. * Design, validate, and improve data-driven decision-making processes and strategies. * Build key metrics and modeling reports for communication with executives. * Deliver actionable strategic and tactical recommendations in a consultative approach to support business objectives. * Present analysis conclusions to team members and senior management in a clear, interpretable, and applicable way. * Expand our capabilities so we can be smart in leveraging predictive analytics / ML algorithms. Contribute to building a comprehensive customer 360 view. * Evaluate opportunities to enhance data and capabilities by identifying 3rd party resources, systems, and tools. What You'll Bring | Skills & Experience * Bachelor's degree with 3+ years of relevant work experience or a master's degree in applied Statistics, Data Science, or Business Analytics * Need to understand applied statistics and machine learning using Python and/or R. * Need to be proficient with understanding and creating data pipelines using SQL. * Understanding of MLOps practices, data warehousing, data modeling, and data architecture principles * Need to know how to create visual tools and dashboards using Power Bi,Tableau or equivalent tools. * Understand and translate business objectives and goals into measurement strategies, Analytics, and reporting requirements to be consumed by our stakeholders. Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered. Work Environment, Physical & Mental Demands * Ability to sit and work at a computer keyboard for extended periods of time. * Ability to stoop, kneel, bend at the waist, and reach daily. * Able to lift and move up to 25 pounds occasionally. * Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment. * Hours regularly 40 hours per week, as work dictates from a remote office location with the ability for occasional travel for team meetings and events. Benefits This role is eligible for health, dental and vision insurance, prescription drug, retirement savings (401k, employer-funded retirement plans, deferred compensation, and other defined-benefit or defined-contribution), life insurance, accident and disability, paid time off for sick leave, vacation (80 hours per year), bereavement, jury duty, holidays (9 days per year), wellbeing program, commuter, adoption assistance, legal services, and employee merchandise discounts. Work-Life Balance We understand the demands of work, school, family, and personal responsibilities. Through our work-life resources and programs we offer services for every stage of life to help you manage the day-to-day needs. We offer programs such as: * Meeting-Free Fridays (encouraged) | so you can catch up on work and self-development. * Summer Fridays | from Memorial Day to Labor Day so you can enjoy a head-start to the weekend. * Holiday Early Departure | close out early the business day before a company observed holiday. The starting salary for this position is $80,700 - $110,000. Actual compensation within this range will be determined based on factors such as skills, experience, and qualifications. Over time, and subject to performance, tenure, and evolving responsibilities, total compensation for this role may grow to as much as $168,200. Base pay information is based on market location and may be subject to prevailing wage laws, if applicable. Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job.

Job Type: Full-time Work Category: Hybrid Telecommute Sponsorship: Not Available Compensation: $ 110,700 - $ 166,100 Gallo Privacy Policy We are GALLO We're a family-owned company with a 90+ year legacy, that's consistently recognized as a Glassdoor “Best Places to Work.” We have 130+ brands in our total alcohol beverage portfolio including wine, malt, spirits, and ready-to-drink beverages. We're home to the #1 wine and spirits brands in the U.S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of America. View our Corporate Values and Mission Statement here. A Taste of What You'll Do Join Gallo's analytic team to turn data into decisions that shape our portfolio and drive business impact. You'll ensure data integrity, explore outliers and missing values, and build statistical models using SQL, R, and Python to test hypotheses and deliver clear, actionable recommendations. You'll research emerging techniques, translate business questions into testable analyses, and partner with Brand, Commerce, R&D, and other teams to support corporate goals with rigorous, relatable insights. You'll design and prototype solutions-machine learning, regression, mixed-effects models, decision trees-and create visual, easy-to-understand dashboards and reports for diverse audiences. You'll own projects end-to-end, develop project management skills, work in agile ways, and help refine processes that improve how we collect, analyze, and share data. Collaboration and strong communication matter: you'll present findings confidently, influence decisions with data storytelling, and support stakeholders through pragmatic trade-offs. We value curiosity, continuous learning, and mentorship; you'll grow your business acumen across Finance, Marketing, and category dynamics while beginning to guide junior statisticians. We're committed to an inclusive workplace-people of all backgrounds, experiences, and perspectives are encouraged to apply. If you bring technical rigor, a “can-if” attitude, and a desire to make measurable impact using SQL, R, and Python, we'd love to hear from you. Apply to join a team where your work directly informs strategy and accelerates growth. What You'll Need Ph.D. in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science) plus statistics, data analytics, or market research experience; OR Master of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science) plus 2 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility; OR Bachelor of Science Degree in a quantitative discipline which includes advanced data analysis (e.g. statistics, applied mathematics, physics, quantitative psychology, predictive analytics, chemistry, engineering, finance/economics, data science, computer science) plus 4 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility. Proficient in programming languages (SQL, R, Python) at an advanced level. Required to travel up to 25% of the time in order to conduct job duties. Required to travel to company offices, sites, and/or meeting locations for onboarding, training, meetings, and events for development, department needs, and business delivery up to 5% of the time, with or without reasonable accommodation. This may be in addition to travel requirements, if applicable, as listed in this . Required to be 18 years or older. This may be in addition to other age requirements, if applicable, as listed in this . How You'll Stand Out Ph. D. in Statistics, Data Science or Mathematics plus 2 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility; OR Master's Degree in Statistics, Data Science or Mathematics plus 4 years of statistics, data analytics or market research experience reflecting increasing levels of responsibility. Experience with Data Lake environments, particularly AWS Sagemaker, and proficiency in Data Science Notebooks. Alcohol Beverage category experience. Familiarity with Git workflows for version control. Experience with Artificial Intelligence (AI) and deep learning methodologies. Prior experience in the Consumer-Packaged Goods (CPG) or Alcohol Beverage industries. To view the full job description, please click here. Our Benefits & Perks We are committed to providing competitive compensation, perks, and a culture that supports your well-being. Benefits depend on your work category and may include medical and dental coverage, 401k plans, profit sharing, pet insurance, company holidays, access to an employee wine shop, and more! Additional information will be provided before your first interview. The Fine Print The Company does not sponsor for employment-based visas for this position now or in the future. Actual compensation paid within the range will be determined by factors such as the education, experience, knowledge, skills and abilities of the applicant, internal equity, and alignment with market data. In addition to the salary, this position may be eligible for bonuses, incentive plans, or participate in tasting room tip pools, as applicable. This position will be based in the location(s) specified in the job posting with an option for occasional telecommuting. You will be expected to live within a commutable distance. It is the Company's policy for job postings to be open to internal candidates for a minimum of 5 days and to external candidates, if applicable, for a minimum of 3 days. Gallo's policy is to afford equal employment opportunities to all applicants and employees and not to discriminate on the basis of race, traits associated with race, including but not limited to, hair texture and protective hairstyles (such as braids, locks, and twists), color, national origin, ancestry, creed, religion, physical disability, mental disability, medical condition as defined by applicable state law (including cancer and predisposing genetic characteristics), genetic information, marital status, familial status, sex, gender, gender identity, gender expression, sexual orientation (actual or perceived), transgender status, sex stereotyping, pregnancy, childbirth or related medical conditions, reproductive health decision making, age, military or veteran status, domestic violence or sexual assault victim status, or any other basis protected by applicable law. Nor will Gallo discriminate based on a perception that an individual has any of the foregoing characteristics or is associated with a person who has, or is perceived to have, any of those characteristics. Gallo will comply with state and local laws prohibiting discrimination for lawful out-of-work behavior, such as off-duty use of cannabis away from the workplace (subject to federal and state law exceptions), the existence of non-psychoactive cannabis metabolites in hair, blood, urine, or other bodily fluids as determined by a drug screening test (subject to federal and state law exceptions). We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gallo is committed to providing reasonable accommodation for candidates with disabilities in our recruiting process. If you need any assistance or accommodation due to a disability, please let us know at ************. Gallo is enrolled in the Department of Homeland Security's E-Verify program and will use the program to verify the employment eligibility of all newly hired employees as required. E-Verify Notice Right to Work Employee Polygraph Protection Act

This role is onsite in our Pleasanton, CA - remote is not an option Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning. Oracle Fusion Data Intelligence platform (FDI) is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product, visit *************************************************************** FDI Pipeline Data Model team defines the application development language and uses the same to build applications - deliver analytic data models for Fusion, NetSuite, Salesforce etc. sources. As a member of the team, you'll build and support scalable data models for analytics. You'll have opportunities to learn and gain hands-on experience with business processes, data processing, semantics, the modern data stack, and AI-driven development using large language models and intelligent agents. You'll also collaborate on developing language processors, user interfaces, and automation solutions that showcase your creative thinking-all within an agile, innovative environment that values your growth. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $79,200 to $178,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 You will: - Learn from senior engineers how to translate business processes/analytics requirements into effective data model designs. - Build, test, and maintain scalable data models and pipelines - Work with QA to validate data accuracy and resolve issues as they arise. - Troubleshoot and fix routine data or performance problems with support from experienced teammates. - Create and maintain technical documentation for team reference, knowledge sharing and even for Customers. - Contribute to automation, language processing, and user interface projects within Pipeline team. - Stay curious and keep learning about new tools, technologies, and approaches in data engineering and AI. Qualifications: You have: BS or MS degree in computer science, Engineering, or a related field, or equivalent practical experience. 3+ years of experience developing and delivering data products, data pipelines, or software/data engineering solutions. Strong programming skills in Python/PySpark/Scala/Java and SQL. Solid experience with cloud databases, data modeling concepts, ETL processes, and at least one public cloud platform (Oracle Cloud, AWS, Azure, or Google Cloud), especially for data services. Good understanding of data management and software design fundamentals. Proven problem-solving and analytical skills with attention to detail. Ability to effectively communicate technical concepts verbally and through design and documentation. Interest or exposure to data science, machine learning, or AI-driven development tools is a plus. Willingness and enthusiasm to learn about business processes, data processing, semantics, and the modern data stack. Positive attitude, curiosity, and eagerness to contribute new ideas while thriving in an inclusive, innovative, and collaborative team culture.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Technology & Operations LLC, a Visa Inc. company, needs a Staff Data Engineer (multiple openings) in Foster City, CA to * Assemble large, complex data sets that meet functional / non-functional business requirements. * Create and tune complex SQL for views across federated sources including Hadoop, DB2 and Oracle. * Collaborate with product management / product owners on defining user experience, demos and training. * Collaborate with BI report developers on design for optimal performance. * Assist on data analytics projects involving data modeling and architecture. * Assist on building integration with other data / metadata tools in the architecture. * Assist on some database administration tasks for the data virtualization platform. * Use business requirements to document clear and concise technical designs. * Maintain design and naming standards. * Contribute to project planning discussions, provide status updates for development progress and be a critical resource for issue resolution. * Position reports to the Foster City, California office and may allow for partial telecommuting. Qualifications Basic Qualifications: * Employer will accept a Master's degree in Computer Science or related field and 2 years of experience in the job offered or in a Data Engineer - related occupation. * Experience can be gained through academic coursework and/or work experience. * Position requires experience in the following: * Object oriented programming in Java, Golang, Python or similar; * Procedural programming in Shell, C or similar; * Understanding of network protocol such as TCP/IP, ICMP, PRP, HSR, LLDP, and CIP; * Distributed systems; * Cloud Infrastructure; * Continuous integration and continuous delivery experience; and * Relational and nonrelational databases. * Spark-Scala, Kafka, Hadoop * Angular 11, TensorFlow, Scikit-learn * Splunk, Swagger * Tableau, Google Analytics * GenAI (LLM, NLP, Prompt Engineering) * MySQL, MongoDB Additional Information Worksite: Foster City, CA This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements: This position does not require travel. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $146,200.00 to $233,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Core Competencies - Must Have: 5-10 years Informatica (ETL) experience BDM TDM Data Quality Big Data Data Warehouse Star Shema Very strong verbal and written communication skills Bachelor's degree in a technical field such as computer science, computer engineering or related field required Nice to Haves: Unix hands on knowledge Additional Information All your information will be kept confidential according to EEO guidelines.

Technical/Functional Skills : Sr. Data Solutions Consultant to support large healthcare datasets and will translate client's business requirements into specific systems, applications, or process designs for large complex IT solutions while integrating I.T. and business solutions. Build and implements Data Analytic solutions that serve as key decision support systems for the leadership of the company. A key for success in this role is a unique blend of technical skills, business knowledge and working with and influencing multiple cross functional teams within IT and business on the right solutions. Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project leads and consultants and business unit leaders for all projects involving enterprise data and analytics. Create and maintain data model and metadata policies and procedures for functional design Experience Required : Atleast 3 years in Healthcare domain preferred Qualifications Graduate degree relevant to IT Additional Information Job Status: Permanent Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are looking for someone who's not just seeking a job, but someone who wants to make an impact. In this role, you'll have the opportunity to lead, innovate, and contribute to the growth of a company that values great service and lasting customer relationships. This position offers the chance to work in a fast-paced, dynamic environment that's constantly evolving. Main responsibilities: The Data Science team at Albertsons Companies is looking for a Lead Data Scientist to work for the most transformational food and drug retailers in the United States. Albertsons operates over 2,300 stores under 19 well-known banners including Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen and Carrs. The company reported revenue of over $60 billion from over 34 million weekly shoppers and is the third largest private company in the country. Data Science at Albertsons is inspired to build best in class customer experience and revolutionize the food and drug retail industry. We are looking for people who are excited in re-imagining the grocery experience by harnessing the power of AI and digital technologies. The Data Science team collects and relies on big data from existing stores and customer interactions at the 2300 nationwide stores and beyond. We are a highly driven team that applies data science to delight our customers, to improve store operations, to optimize supply chain and to proactively improve product lifecycle. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into business impacts on regular basis. You will work closely with other data scientists and business partners in identifying and defining data science projects, building machine learning algorithms and models on top of existing data platforms. The candidate will have a background in computer science or a related technical field with experience working with large data sets and applying data-driven decision making. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action. This position is primarily located in Pleasanton, CA or Boise, ID. * Big part of your responsibilities will be project-based. You will be responsible for identifying and providing solutions and tooling built on predictive modeling, machine learning algorithms that satisfy various business needs * Use machine learning algorithms to generate customer behavior segmentation, to build recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app * Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts * Build data science solutions to solve complex problems and fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams * Extract insights and scale sentiment analysis from comments and other forms of feedback using Natural Language Processing. Develop adaptable NLP solutions including text categorization, domain classification, event detection, and topic modeling * Design experiments and deliver A/B Testing analysis to improve customer experience in physical store and on digital platforms * Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence * Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communications We are looking for candidates who possess the following: * Master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields * 7+ years of industry experience in applying data science and modeling methodologies: regression model, ensemble modeling, recommendation algorithm ,NLP, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc. * Background in building Recommendation systems or Personalization is strongly preferred * 5+ years of experience and proficiency in Python and/or Spark-ML * 5+ years of SQL development skills writing complex queries, transforming data, mining structured and unstructured data * 3+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop * Proven track record of leveraging data science solutions to drive impactful business decisions * Proven ability to effectively distill and communicate complex machine learning solutions to different audiences * Experience with Azure Databricks and Google Cloud is a strong plus * Experience using data access tools and building dashboards with large datasets from multiple data sources is a plus We also provide a variety of benefits including: * Competitive wages paid weekly * Associate discounts * Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!) * Time off (vacation, holidays, sick pay). For eligibility requirements please visit my ACI Benefits * Leaders invested in your training, career growth and development * An inclusive work environment with talented colleagues who reflect the communities we serve Our Values - Click below to view video: ACI Values The salary range is $ 157,900 to $ 205,300 annually. Starting salary will vary based on criteria such as location, experience, and qualifications. There may be flexibility for exceptional candidates. A copy of the full job description can be made available to you. #LI-MF1

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role The Martech Data Science Team at Gap Inc. applies AI and machine learning techniques to drive business benefits for Gap Inc. and its brands. The team's focus is on building capabilities that power personalized customer experiences and optimize marketing to grow customer lifetime value and advance Gap Inc.'s AI transformation. Areas of expertise include advanced predictive modeling, marketing effectiveness, and business growth, as well as developing and scaling models on modern platforms and embedding them into marketing workflows. You will help build and deploy production capabilities, in partnership with Engineering, Product Management, Central Marketing, and business partners across our brands. What You'll Do * Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large data sets from multiple disparate sources * Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare reliable data pipelines and shared feature sets for various modeling protocols * Build, validate, and maintain AI (Machine Learning / Deep Learning) models, diagnose and optimize performance, and develop statistical models and analysis for ad hoc business-focused questions * Design and execute structured experimentation and testing (e.g., A/B tests, multivariate tests, RL/bandit experiments) to measure incremental impact, refine models, and continuously improve marketing strategies across brands and channels * Communicate meaningful, actionable insights and model outputs to stakeholders, translating them into clear go-to-market recommendations that influence campaign design, offer strategy, contact strategy, and customer experience * Build cross-functional partnerships and consensus with engineering, product management, central marketing, and brand strategy teams to integrate models into marketing campaigns, journeys, and agentic AI workflows at scale * Influence strategy for the Martech Data Science team, including migration and modernization of models on GCP, accelerating agentic AI-driven decisioning, and strengthening a rigorous, test-and-learn culture across campaigns and customer experiences Who You Are * Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline development. Advanced proficiency using SQL for efficient manipulation of large datasets in on-prem and cloud distributed computing environments, such as Azure and GCP-based environments * Experience with ML and classical predictive techniques such as logistic regression, decision trees, non-linear regressions, ANN/CNN, boosted trees, SVM, TensorFlow, and visualization packages; familiarity with reinforcement learning / bandit methods and uplift / causal modeling is a strong plus, along with a track record of creating business impact with these methods in marketing or personalization contexts * Ability to work both at a detailed level (data wrangling, feature engineering, model diagnostics) as well as summarize findings and extrapolate knowledge to make strong recommendations for change, explicitly linking models and tests to incremental revenue, margin, customer LTV, and contact efficiency * Ability to collaborate with cross-functional teams and influence product and analytics roadmaps, with a demonstrated proficiency in relationship building and in operationalizing models into campaigns, journeys, and orchestration platforms * Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions, balancing short-term performance vs. long-term customer value, and navigating tradeoffs across revenue, profitability, customer experience, and contact pressure Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity. Salary Range: $181,400 - $235,800 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace (**************************************************************************** UpdateUrns=urn%3Ali%3Aactivity%3A**********048001024) **Your role at Clorox:** We are seeking an experienced and highly skilled senior data engineer to join our enterprise data strategy and operations team. The ideal candidate will have extensive expertise in designing, building and maintaining data pipelines and data solution architectures on cloud platforms, particularly Azure. This role involves leading data engineering products, optimizing data processing workflows, ensuring data quality and governance, and collaborating with cross-functional teams to support analysis and insights generation to fuel large scale ideation and roadmapping associated with revenue growth and margin improvements projects at scale across the enterprise. The role of Senior Data Engineer at Clorox will play a key role in leading and delivering enterprise quality data solutions that can enable data driven business decisions. Role is an analytical big picture thinker with a product mindset and strong background in business intelligence and engineering in cloud platform, that can leverage technology and build scalable data products that create value across the organization.This role will also serve as a key collaborator with our business analytics and enterprise technology stakeholders to innovate, build and sustain the cloud data infrastructure that will further Clorox's digital transformation efforts. **In this role, you will:** + **Collaborate & Lead** : Work closely with business product owners, data scientists, analysts, and cross-functional stakeholders to understand the business' data needs and provide technical solutions. Influence business partners to align to the technical solutions and to adhere to technical architecture standards. Provide technical guidance to junior engineers, BI developers, and contractors to create efficient and effective data solutions. + **Architecting and Innovate** : Strong proficiency in Python, Spark, SQL, PySQL, Pandas, CI/CD methodologies is required. Strong data ingestion, data modeling and dimensional modeling skills using medallion lake house architecture. Strong BI skills to build reports & dashboards using Power BI and Tableau etc. Experience in reporting security like row level, column level, object level and masking etc. Experience with SQL and DML to recast data in backend database for data changes, restatements and data processing errors, etc. Experience with ML Ops and supporting Data Science workflow pipelines. Knowledge of Gen AI frameworks and LLMs to support agentic products + **Optimize and Scale:** Build and maintain data pipelines to integrate data from various source systems. Optimize data pipelines for performance, reliability and cost-effectiveness. Work with enterprise infrastructure and technology teams to implement best practices for performance monitoring, cloud resource management, including scaling, cost control and security. + **Ensure Quality and Governance:** Ensure safe custody, transport and storage of data in the data platforms. Collaborate with Data Governance Stewards and Business Stakeholders to enforce the business rules, data quality rules and data cataloging activities. Ensure data quality, security and compliance for the data products responsible under this role. + **Enhance BI Capabilities:** Develop and manage business intelligence solutions for the organization to transform data into insights that can drive business value. Help Analytics Product Owners and Business Leaders improve business decisions through data analytics, data visualization, and data modeling techniques and technologies. **What we look for:** + 7+ years of experience if the candidate holds BS degree in Computer Science, Information Systems or relevant streams; 5-7 years of experience if the candidate holds MS/PhD degree + Experience in architecting data solutions, cloud data engineering, end to end data warehouse or lake house implementations, end to end business intelligence implementations + 7 plus years of experience with data engineering, data warehousing, business intelligence with substantial experience in managing large-scale data projects + 5 plus years' experience with data solutions implementations in Cloud platform technologies like Microsoft Azure, AWS etc. + 4 plus years with business intelligence using technologies like Power BI, Tableau etc. + 4plus years of experience with Azure services like Data Factory, Databricks, and Delta Lake will be an added advantage. + Experience in end-to-end support for data engineering solutions (Data Pipelines), including designing, developing, deploying, and supporting solutions for existing platforms + Knowledge or experience in Microsoft D365 Dataverse and reporting in Microsoft Fabric technology \#LI-HYBRID **Workplace type:** Hybrid - 3 days in the office, 2 days WFH **Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive.** Learn more (********************************************************************************************************* **.** **[U.S.]Additional Information:** At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $128,000 - $252,200 -Zone B: $117,400 - $231,200 -Zone C: $106,700 - $210,200 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes. **Who we are.** We champion people to be well and thrive every single day. We're proud to be in every corner of homes, schools, and offices-making daily life simpler and easier through our beloved brands. Working with us, you'll join a team of passionate problem solvers and relentless innovators fueled by curiosity, growth, and progress. We relish taking on new, interesting challenges that allow our people to collaborate and thrive at work. And most importantly, we care about each other as multifaceted, whole humans. Join us as we reimagine what's possible and work with purpose to make a difference in the world. **This is the place where doing the right thing matters.** Doing the right thing is the compass that guides every decision we make-and we're proud to be globally recognized and awarded for our continuous corporate responsibility efforts. Clorox is a signatory of the United Nations Global Compact and the Ellen MacArthur Foundation's New Plastics Economy Global Commitment. The Clorox Company and its Foundation prioritize giving back to the communities we call home and contribute millions annually in combined cash grants, product donations, and cause-marketing. For more information, visit TheCloroxCompany.com and follow us on social media at @CloroxCo. **Our commitment to diversity, inclusion, and equal employment opportunity.** We seek out and celebrate diverse backgrounds and experiences. We're always looking for fresh perspectives, a desire to bring your best, and a nonstop drive to keep growing and learning. Learn more about our Inclusion, Diversity, Equity, and Allyship (IDEA) journey here (*********************************************** . The Clorox Company and its subsidiaries are an EEO/AA/Minorities/Women/LGBT/Protected Veteran/Disabled employer. Learn more to Know Your Rights (*********************************************************************************************** . Clorox is committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans during the hiring and interview process. If you need assistance or accommodations due to a disability, please contact us at ***************** . Please note: this inbox is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions/application statuses. The Clorox Company and its subsidiaries are an EEO/AA/ Minorities/Women/LGBT/Protected Veteran/Disabled employer.

This role is onsite in our Pleasanton, CA - remote is not an option Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning. Oracle Fusion Data Intelligence platform (FDI) is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product, visit *************************************************************** FDI Pipeline Data Model team defines the application development language and uses the same to build applications - deliver analytic data models for Fusion, NetSuite, Salesforce etc. sources. As a member of the team, you'll build and support scalable data models for analytics. You'll have opportunities to learn and gain hands-on experience with business processes, data processing, semantics, the modern data stack, and AI-driven development using large language models and intelligent agents. You'll also collaborate on developing language processors, user interfaces, and automation solutions that showcase your creative thinking-all within an agile, innovative environment that values your growth. As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment 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. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Core Competencies - Must Have: 5-10 years Informatica (ETL) experience BDM TDM Data Quality Big Data Data Warehouse Star Shema Very strong verbal and written communication skills Bachelor's degree in a technical field such as computer science, computer engineering or related field required Nice to Haves: Unix hands on knowledge Additional Information All your information will be kept confidential according to EEO guidelines.

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Join Visa: A Network Working for Everyone. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for a versatile, curious, and energetic Data Engineer who embrace solving complex challenges on a global scale. As a Visa Data Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: * Design code and systems that touch 40% of the world population while influencing Visa's internal standards for scalability, security, and reusability * Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings * Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads * Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. * Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology * Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities * Create and maintain optimal data pipeline architecture for validating and certifying payment workflows * Assemble large, complex data sets that meet functional / non-functional business requirements * Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Qualifications Basic Qualifications * Bachelor's or Master's degree in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Business or a related field, graduating May 2025 - August 2026. Preferred Qualifications * Experience with programming languages such as Python, Java, Scala, C++, Rust, Golang, * Basic knowledge of Distributed Systems, and Data Structures * Knowledge or experience with Big Data and the Cloud platform services: Apache Hadoop, Apache Spark. * Passion for exploring emerging data engineering technologies and GenAI, including modern data pipelines, distributed processing (e.g., Spark), cloud platforms, containerization, and AI-driven tools. * Basic Knowledge in ETL, Data Pipelines using Python, Shell Scripts, Apache Airflow, and Apache Kafka; Building & Populating Data Warehouses, and Querying with BI tools. * Basic Knowledge in RDBMS fundamentals: Design & Creation of Databases, Schemas, Tables; DB Administration, Security & working with MySQL & IBM Db2. * Basic Knowledge in SQL query language, database functions, stored procs, working with multiple tables, joins, & transactions. * Basic Knowledge in NoSQL & Big Data concepts: MongoDB, Cassandra * Knowledge of best practices and IT operations in an always-up, always-available service * Experience with or knowledge of Agile Software Development methodologies * The ability to take on challenges and address problems head-on * Strong ability to collaborate * Highly driven, resourceful and results oriented * Good team player and excellent interpersonal skills * Good analytical and problem-solving skills * Demonstrated ability to lead and navigate through ambiguity. Additional Information U.S. APPLICANTS ONLY: The estimated salary for a new hire into this position is $120,000 USD which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered. Work Hours: Varies upon the needs of the department. This is a hybrid position: Expectation of days in office will be confirmed by your hiring manager. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.