Senior Data Scientist - Shopping Experience (Search)
Senior · Удалённо · США · Английский B2
Навыки
BigQuery
Коммуникация
Решения на данных
Data Quality
E-commerce
Machine Learning
NLP
Ещё 9
Python
RAG
Redshift
Роадмап
Snowflake
SQL
SQL: оконные функции, CTE
Статистика
UX-дизайн
О компании и продукте
Instacart’s Shopping Experience team is focused on making it fast and effortless for customers to find the right items within a single retailer and complete their order with confidence. As a Senior Data Scientist dedicated to Search, you’ll own the analytics and experimentation strategy that powers how we interpret customer intent and connect it to the most relevant items and retailers.
In this role, you’ll partner closely with Product, Engineering, and Machine Learning to shape the roadmap for search relevance, ranking quality, and latency. Your work will translate complex, noisy signals into clear insights and recommendations that move the metrics that matter—search conversion, order rate, and GTV—while also strengthening downstream experiences like ads and retailer satisfaction.
Own core Search metrics and funnels end to end (e.g., query → impression → engagement → cart adds), including defining guardrails, monitoring performance across platforms and segments, and diagnosing conversion gaps.
Design, run, and interpret experiments across ranking, retrieval, and search UX (e.g., relevance model changes, query understanding, result layouts), turning ambiguous or conflicting outcomes into crisp, data-driven recommendations.
Задачи
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together
Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community
We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward
If you’re ready to do the best work of your life, come join our table
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work
Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events
Learn more about our flexible approach to where we work
Требования
You combine rigorous analytics, strong product sense, and clear communication to drive decisive action in a fast-paced environment
You enjoy rolling up your sleeves, collaborating across disciplines, and using experimentation to uncover what truly helps customers find the right items quickly
5+ years of experience in data science or product analytics, with a track record of impact on consumer-facing products
Advanced SQL proficiency, including complex joins and window functions, working with large-scale datasets in modern data warehouses (e.g., Snowflake, BigQuery, Redshift)
Proficiency in Python or R for analysis, experimentation, and modeling
Hands-on experience designing and analyzing A/B tests end to end, including metric selection, power and sample sizing, covariate adjustment, and decision-making under uncertainty
Demonstrated ability to define success metrics, decompose ambiguous product problems, and deliver clear, opinionated recommendations to Product and Engineering partners
Excellent written and verbal communication skills
able to tailor complex analyses for both technical and non-technical audiences
Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience
Comfort using modern AI tooling (e.g., Claude, code assistants, PromptQL) to accelerate analysis, experimentation, and communication while exercising strong judgment on quality and reliability
Будет плюсом
Experience in search relevance, ranking, recommendations, personalization, or information retrieval (e.g., e-commerce or marketplace search)
Familiarity with NLP, embeddings, and semantic search, including how to evaluate and iterate on these techniques in production
Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes
Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects
Comfort working across web and native app surfaces, navigating tradeoffs between relevance, monetization, and latency
Proven impact improving logging, instrumentation, and metric definitions in complex data environments
Instacart provides highly market-competitive compensation and benefits in each location where our employees work
This role is remote and the base pay range for a successful candidate is dependent on their permanent work location
Please review our Flex First remote work policy here
Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia
Offers may vary based on many factors, such as candidate experience and skills required for the role
Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants
Please read more about our benefits offerings here
For Canadian based candidates, the base pay ranges for a successful candidate are listed below
Условия
161,000 — $170,000 CAD
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