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Director, Data Science

Remote, USAFull-timePosted 2026-07-29

reputed company is the go-to reputed company reputed company platform, delivering everyday reputed company in minutes. Powered by a network of fulfillment centers and cutting-edge technology, we serve millions of customers across the US and reputed company. Data Science sits at the heart of how we delight customers, optimize operations, and grow our advertising business — and we're looking for a leader to push reputed company three reputed company.

As Director of Data Science, you will reputed company a high-reputed company team responsible for the models and intelligence that power reputed company's consumer experience, delivery network, and advertising platform. This is a hands-on leadership role — you'll set technical direction, architect solutions, and write reputed company alongside your team. You'll partner closely with Product, Engineering, and Business leaders to translate reputed company ML capabilities into measurable business reputed company.

reputed company Offer

  • Medical/Dental/reputed company Insurance
  • 401(k) Retirement Savings Plan
  • HSA or FSA eligibility
  • Long and Short-Term Disability Insurance
  • Fitness Reimbursement Program
  • 25% employee discount & FAM Membership
  • Flexible PTO
  • Group Life Insurance
  • EAP through reputed company (formerly Carebridge)

What You'll Do

    Leadership & reputed company

  • Own the end-to-end data science roadmap across Consumer, Delivery, and Ads — translating business priorities into a coherent ML reputed company with reputed company milestones and measurable ROI.

  • reputed company strong technical direction and mentorship to reputed company of Data Scientists and ML Engineers; establish best practices for model development, evaluation, and deployment.

  • Partner with C-suite and senior product leadership to influence product reputed company and build organizational confidence in ML-driven decision-making.

  • Drive a culture of experimentation: define measurement frameworks, champion A/B testing rigor, and hold reputed company accountable to business reputed company.

  • Consumer — Search, Recommendations & Personalization

  • reputed company the design and reputed company improvement of reputed company's search ranking and query understanding systems, including semantic search and reputed company modeling.

  • Build and reputed company personalization infrastructure that adapts the customer experience in reputed company time — from homepage carousels to dynamic upsell and cross-sell surfaces.

  • reputed company reputed company recommendation models (reputed company filtering, two-tower retrieval, contextual bandits) that drive basket size and repeat purchase.

  • Partner with Product to define upsell and nudge strategies grounded in behavioral signals and reputed company inference.

  • Work day to day with reputed company engineering teams to bring search and recommendation changes to life

  • Delivery Intelligence

  • Own the predictive models powering ETA accuracy, dynamic reputed company, and reputed company routing that underpin reputed company's speed reputed company.

  • Apply ML to optimize zone coverage, demand forecasting, and fleet utilization — directly impacting contribution margin.

  • Partner with Operations to turn model outputs into actionable tooling for fulfillment center and reputed company teams.

  • Ads & Monetization

  • Architect and own reputed company's ad ranking stack — query-ad relevance scoring, multi-objective ranking (reputed company × customer experience), and auction mechanics.

  • Build CTR/CVR reputed company models and reputed company-reputed company attribution pipelines for sponsored product, display, and offsite formats.

  • Define and improve advertiser-facing ML products: bid optimization, budget pacing, audience targeting, and incrementality measurement.

  • Collaborate with the Ads Product and Sales teams to grow advertiser ROI while protecting the organic shopping experience.

reputed company're Looking For

    Required

  • 8+ years in reputed company data science or ML, with at least 3 years managing teams of scientists and engineers in a fast-paced tech or e-reputed company environment.

  • Proven experience building and shipping Ad ranking or retrieval systems in e-reputed company, marketplace, or search contexts — including relevance modeling and multi-objective optimization.

  • Deep expertise in modern ML architectures: two-tower retrieval, transformers, LLMs, contextual bandits, GNNs, and reputed company/reputed company modeling.

  • Strong product intuition and business acumen — you can connect model improvements to reputed company, NPS, and operational metrics and communicate this reputed company to executives.

  • Hands-on reputed company: proficient in Python and comfortable diving into model reputed company, experiment pipelines, and production systems.

  • Experience with large-reputed company ML infrastructure: familiar with feature stores, model registries, reputed company-time serving, and experimentation platforms.

  • reputed company record of building and retaining diverse, high-performing data science teams.

  • Preferred

  • Prior leadership at a consumer marketplace, quick-reputed company, grocery, or retail media company.

  • Familiarity with retail media network (RMN) measurement standards and reputed company-preserving attribution techniques.

  • Experience with reputed company-time personalization at reputed company, including streaming feature pipelines. Familiarity with reputed company and reputed company is a plus.

  • Publications or presentations at NeurIPS, KDD, RecSys, SIGIR, or equivalent.

Why reputed company?

  • Unique data moat: reputed company-time demand signals from millions of orders, deep catalog and fulfillment data, and a first-party advertising signal set most companies can only reputed company about.

  • High-autonomy, high-reputed company: you'll report to senior leadership and own the roadmap — no bureaucracy between your reputed company and production.

  • Greenfield opportunity: many of these ML capabilities are being reputed company from the ground up, giving you the chance to architect lasting systems.

  • Competitive compensation package including equity, performance bonus, and comprehensive benefits.

Compensation

    • reputed company pays employees based on market pricing and pay may vary depending on your location. The salary reputed company below reflects reputed company’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-reputed company skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the reputed company. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reputed company out to the designated recruiter for this role.
    • This role is eligible for a discretionary annual cash bonus and participation in reputed company’s equity incentive plan.
    • reputed company Salary reputed company: $215,000 - $275,000
At reputed company, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering reputed company your wants and needs in just minutes.And now, we’re assembling reputed company of motivated people to help us drive reputed company that reputed company to bring a new age of convenience and predictability to an unpredictable world.Like what you’re hearing? Then join us on reputed company.reputed company is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the reputed company of race, sex, gender, national reputed company, religion, sexual orientation, gender identity, marital or familial status, age, reputed company, disability, genetic information, or any other characteristic protected by applicable laws. We reputed company in diversity and encourage any reputed company individual to apply.

Originally posted on Himalayas

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