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Senior Data Science Analytics Jobs in Oregon (NOW HIRING)

Own analytical frameworks that guide the product roadmap. * Design rigorous experiments and ... Science team is responsible for measurement and optimization across Instacart's paid digital ...

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Bachelor's degree in Math, science, engineering, or related field. EOE/M/F/ Disability/Vet VEVRAA ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Minimum of 5+ years of hands-on data science or analytics experience, preferably in a healthcare, clinical research, or other highly regulated data environment. * Statistical & ML Expertise: Strong ...

Data Science at Gametime Our Marketing Analytics team is a cross-functional group supporting all ... The Opportunity We're hiring a Senior Data Scientist to help build and scale the analytical ...

OR · On-site

$112K - $200K/yr

Job Requisition ID # 26WD97732 Position Overview We are seeking a Senior Data Scientist to join our ... Translate business questions into analytical frameworks and data science solutions * Partner with ...

This is a hands-on senior data science position, ideal for someone who combines deep theoretical ... science, statistics, machine learning, health informatics, data engineering, or analytics ...

Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ... Passion for mentoring senior and junior data scientists, fostering technical excellence, and ...

... data science services across our rapidly evolving data platform. You'll work end-to-end on ... into data-driven products, analytics methodologies, and new offerings that drive measurable ...

... data science services across our rapidly evolving data platform. You'll work end-to-end on ... into data-driven products, analytics methodologies, and new offerings that drive measurable ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Personnel must be able to translate operational challenges into analytic solutions, ensuring ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Personnel must be able to translate operational challenges into analytic solutions, ensuring ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Personnel must be able to translate operational challenges into analytic solutions, ensuring ...

Own analytical frameworks that guide the product roadmap. * Design rigorous experiments and ... About You Minimum Qualifications * 7+ years of experience working in a data science or ML role at a ...

... data science capabilities ... This role goes beyond traditional analytics-you'll be responsible for building the ML and ...

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Senior Data Science Analytics information

What is the difference between Senior Data Science Analytics vs Data Analyst?

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

Senior Data Scientist (I & II)

Other

Posted 10 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th of 64 rated delivery companies


Job description

Overview

This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we'll do a team-matching exercise to determine which of the open roles/teams you'll join. At the bottom of this posting, you'll find a breakdown of the currently open roles.

About the Job

  • Own analytical frameworks that guide the product roadmap.
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
  • Develop statistical models to extract trends, measure results, and predict future performance of our products.
  • Build simulations to project the impact of various product and policy interventions.
  • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
  • Present findings in a compelling way to influence Instacart's leadership.

About You

Minimum Qualifications

  • 5+ years of experience working in a quantitative role at a product company or a research organization.
  • Ability to run rigorous experiments and generate scientifically sound recommendations.
  • Ability to write complex, efficient, and eloquent SQL queries to extract data.
  • Ability to write efficient and eloquent code in Python or R.
  • A desire to build and improve consumer software products.
  • Ability to translate business needs into analytical frameworks.
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.

Preferred Qualifications

  • Awareness of business trade-offs when working on a multi-sided marketplace.
  • Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

Currently Opened Roles

Order Experiences (Search) | Sr. Data Scientist I (L5/6)

The Order Experiences (Search) team is focused on making it fast and effortless for customers to find the right items and complete their order with confidence. As a Senior Data Scientist, you'll own the analytics and experimentation strategy that powers how we interpret customer intent and surface the most relevant results-driving search conversion, order rate, and GTV. You'll partner closely with Product, Engineering, and ML to shape the roadmap for search relevance and ranking quality, running experiments across retrieval, ranking, and search UX while connecting offline model evaluation to real-world business outcomes.

Ecosystems | Sr. Data Scientist II (L6)

The Ecosystems team tackles some of Instacart's most strategic macro-level analytical challenges, including quantifying the impact of economic trends, competitive dynamics, and seasonality on core business metrics. As a Senior Data Scientist II, you'll own time-series forecasting for key business outcomes, develop measurement frameworks for evaluating competing growth initiatives, and build AI tooling to scale analytics workflows across the team. This role also carries a technical leadership dimension-you'll set the methodological bar, mentor peers, and review analyses to drive rigor across the organization.

Delivery | Sr. Data Scientist II (L6)

The Delivery team is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you'll identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and leverage geospatial data and advanced analytical techniques to optimize logistics. You'll also proactively identify high-risk delivery scenarios and develop solutions to the underlying systemic issues that drive them.

Marketing | Sr. Data Scientist I (L5)

The Marketing Data Science team is responsible for measurement and optimization across Instacart's paid digital channels, including search, shopping, display, social, and video. As a Senior Data Scientist, you'll build and maintain sophisticated attribution models-including multi-touch and incrementality-based approaches-and develop scalable data pipelines to turn raw marketing data into clean, analysis-ready datasets. You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform budget allocation and growth strategy

#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012