Senior Remote Data Scientist – Advanced Analytics, Machine Learning & Business Insight Leadership for Costco’s Virginia Operations (Full‑Time, Competitive Hourly Rate)

```html About Costco – A Global Retail Pioneer Committed to Innovation Costco Wholesale Corporation is one of the world’s most admired retailers, recognized for its member‑first philosophy, exceptional value proposition, and unwavering dedication to ethical business practices. With a footprint spanning continents, Costco continually invests in cutting‑edge technology to enhance product safety, improve member experiences, and drive sustainable growth. As part of our ongoing digital transformation, we are expanding our data‑driven capabilities and seeking visionary talent to help us harness the power of big data, machine learning, and advanced analytics. Why This Role Is a Game‑Changer for Your Career This is not just another data science position. It is a unique opportunity to work remotely from anywhere in Virginia while partnering directly with senior leadership, security operations, and cross‑functional teams to shape strategic decisions that affect millions of members worldwide. You will become a trusted advisor, translating complex data into actionable insights that influence product safety, inventory optimization, customer loyalty, and overall business performance. Position Overview – Data Scientist – Data Analytics (Remote, Full‑Time) The Data Scientist will lead the end‑to‑end analytical journey—from data collection and cleaning to model deployment and storytelling. You will design, develop, and operationalize machine‑learning and deep‑learning solutions that address security concerns, forecast demand, personalize member experiences, and streamline supply‑chain operations. Your work will directly support Costco’s mission to provide safer products and better services to both members and healthcare providers. Key Responsibilities • End‑to‑End Analytical Projects: Own the full lifecycle of analytical initiatives, including requirement gathering, data extraction, preprocessing, exploratory analysis, model development, validation, deployment, and performance monitoring. • Data Engineering Collaboration: Partner with data engineers to ensure high‑quality, reliable data pipelines from corporate databases, cloud platforms (AWS, Azure), and external sources. • Predictive & Prescriptive Modeling: Build and fine‑tune machine‑learning models (regression, classification, time‑series, recommendation systems) to forecast demand, optimize inventory, detect fraud, and improve loyalty program effectiveness. • Deep Learning Innovation: Apply neural network architectures (CNNs, RNNs, Transformers) to complex problems such as image‑based product safety inspection and natural‑language analysis of customer feedback. • Statistical Analysis & Visualization: Conduct rigorous statistical testing, A/B experiments, and create interactive dashboards in Power BI, Tableau, or Looker to communicate insights to stakeholders. • Cross‑Functional Partnership: Work closely with Security Operations, Marketing, Merchandising, and Supply‑Chain teams to translate business needs into analytic solutions. • Model Governance & MLOps: Develop and maintain a robust model governance framework, including version control, automated testing, CI/CD pipelines, and monitoring for drift and bias. • Continuous Improvement: Evaluate existing data collection procedures, identify gaps, and propose enhancements that increase data quality and relevance. • Thought Leadership & Mentorship: Share best practices, mentor junior analysts, and contribute to a culture of data‑driven decision‑making across the organization. Essential Qualifications • Education: Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline (Master’s or PhD preferred). • Professional Experience: Minimum of 3 years of hands‑on experience delivering business‑impacting insights using advanced analytics, machine‑learning, or deep‑learning techniques. • Technical Proficiency: Expert level skills in Python or R, SQL, and statistical libraries (pandas, scikit‑learn, TensorFlow/PyTorch). Experience with data visualization tools such as Power BI, Tableau, or Looker. • Cloud Analytics: Demonstrated ability to work with cloud‑based platforms (AWS SageMaker, Azure ML, GCP AI Platform) and orchestration tools (Docker, Kubernetes). • Domain Knowledge: Familiarity with retail, supply‑chain, or consumer‑goods analytics, especially around forecasting, inventory management, or customer segmentation. • Communication Skills: Exceptional written and verbal communication, capable of translating technical findings into clear, compelling stories for non‑technical audiences. • Agile Mindset: Experience operating in an Agile environment, collaborating in sprint cycles, and adapting quickly to evolving business priorities. Preferred Qualifications & Nice‑to‑Haves • Advanced degree (MSc, PhD) focused on machine learning, artificial intelligence, or statistical modeling. • Experience with MLOps frameworks such as MLflow, Kubeflow, or Azure DevOps. • Hands‑on exposure to big‑data technologies (Spark, Hadoop, Snowflake). • Background in cybersecurity analytics or risk modeling. • Proven track record of deploying models to production that generate measurable ROI. • Familiarity with retail pricing strategies, promotion optimization, or loyalty program analytics. Core Skills & Competencies for Success • Analytical Rigor: Ability to dissect complex problems, formulate hypotheses, and validate findings with statistical soundness. • Creative Problem‑Solving: Innovation in model selection, feature engineering, and algorithmic approaches to deliver breakthrough insights. • Collaboration: Strong teamwork orientation, comfortable influencing cross‑functional partners and driving consensus. • Attention to Detail: Meticulous data cleaning, validation, and documentation practices to ensure reproducibility. • Business Acumen: Understanding of retail economics, cost structures, and member behavior to align analytics with strategic goals. • Adaptability: Flexibility to manage shifting priorities, meet tight deadlines, and navigate ambiguous situations. Compensation, Benefits & Perks Costco offers a highly competitive hourly wage ranging from $20 to $30 per hour, commensurate with experience and expertise. In addition to a robust base salary, eligible employees enjoy a comprehensive benefits package that includes: • Health, dental, and vision insurance with employer contributions. • Generous paid time off, holidays, and flexible scheduling—including options for nights, weekends, and holiday coverage as needed. • Retirement savings plans with company matching. • Employee stock purchase programs and performance‑based bonuses. • Professional development funds for certifications, conferences, and advanced training. • Remote‑work stipend covering home‑office ergonomics, internet, and communication tools. • Wellness resources, including mental‑health support, fitness reimbursements, and employee assistance programs. • Access to Costco’s member pricing and exclusive shopping benefits. Culture & Work Environment At Costco, we pride ourselves on a culture that blends high‑performance standards with genuine respect for every employee. Our remote teams benefit from: • Inclusive Leadership: Open‑door communication with senior executives who value ideas from every level. • Collaborative Ecosystem: Regular virtual “innovation labs,” hackathons, and cross‑departmental workshops to foster creativity. • Diversity & Inclusion: Ongoing initiatives to ensure a diverse workforce where every voice is heard and celebrated. • Work‑Life Harmony: Flexible working hours, a supportive environment for parents and caregivers, and a focus on mental well‑being. • Recognition Programs: Formal and informal recognition for outstanding contributions, from project milestones to community service. Career Growth & Learning Opportunities Costco is committed to investing in your professional trajectory. As a Data Scientist, you will have access to: • Mentorship from seasoned data leaders across global operations. • Rotational assignments that expose you to various business units (e.g., supply chain, merchandising, security). • Sponsored certifications (e.g., AWS Certified Machine Learning, Google Professional Data Engineer). • Leadership development tracks for those aspiring to managerial or director‑level roles. • Opportunities to publish research, present at industry conferences, and contribute to internal knowledge bases. How to Apply – Take the Next Step Toward a Data‑Driven Future If you are a passionate, results‑oriented data professional eager to make a tangible impact on a world‑class retailer, we want to hear from you. Click the link below to submit your resume, cover letter, and any relevant portfolio items (model notebooks, dashboards, or publications). Join Costco’s mission to transform data into meaningful, member‑centric experiences. Apply to This Remote Data Scientist Position Now Conclusion – Your Journey Starts Here At Costco, your analytical talent will be celebrated, your ideas will shape real‑world outcomes, and your career will flourish in an environment that values integrity, innovation, and inclusivity. Don’t miss the chance to become a pivotal part of a company recognized repeatedly as one of the “Best Places to Work.” Apply today and embark on a rewarding path where data meets purpose. ``` Apply This Job Apply tot his job Apply To this Job