CrawlJobs Logo

Senior Data Scientist I - Product

United States 188000.00 - 235000.00 USD / Year · Job Posted February 18, 2026
Apply Position
Job Link Share

Job Description

Dandy is transforming the massive and antiquated dental industry. We’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. We're on the hunt for an experienced Senior Data Analyst who can tackle some of our most significant challenges in product. This role is responsible for key aspects of Dandy's business, obsessing over the customer experience to grow recurring revenue, improve customer retention, and enhance our product through increased feature usage.

Job Responsibility

  • Own the Analytical Roadmap: Serve as the primary point of contact for Product, Design, and Engineering to translate company OKRs into a concrete product data strategy
  • Define the Metrics Framework: Establish the 'Source of Truth' for product success by designing KPIs and dashboards in Hex or Looker
  • Drive Causal Impact: Move beyond descriptive reporting to lead end-to-end projects spanning months—from ideation to maintenance
  • Lead Product Decision-Making: Distill complex statistical findings into high-leverage narratives for VPs and Directors
  • Raise the Bar for the Team: Mentor other analysts and provide trusted, instructive code reviews

Requirements

  • 5+ years of experience
  • Quantitative background (Math, Stats, Engineering, or Behavioral Science)
  • Experience turning vague business problems into statistically rigorous analyses & solutions (e.g., causal inference, predictive modeling)
  • Experience in Hex, Looker, and dbt
  • Strong customer empathy, particularly for dentists
  • Interest in working and learning in an earlier stage company

Nice to have

  • Strong customer empathy, particularly for dentists
  • Experience turning vague business problems into statistical rigorous analyses & solutions (e.g. causal inference, predictive modeling)
  • Interest in working and learning in an earlier stage company where we’re still working out some of the basics
  • Experience in Hex, Looker, and dbt

What we offer

  • Offers Equity
  • Healthcare
  • Dental
  • Mental health support
  • Parental planning resources
  • Retirement savings options
  • Generous paid time off

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Data Scientist I - Product

8 matching positions

Senior Product Data Scientist, Pickups & Dropoffs

Waymo is an autonomous driving technology company with the mission to be the wor...
Location
Location
United States , Mountain View; San Francisco
Salary
Salary:
196000.00 - 242000.00 USD / Year
a16z
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Coding skills (Python & SQL)
  • Experience with A/B testing & Product Development
  • ML Experience
  • Proficiency in data pipeline development
  • At least 5 years of industry experience
  • Strong Communication and Stakeholder & Management skills
Job Responsibility
Job Responsibility
  • Work with Product & Engineering stakeholders to understand and improve Waymo’s pickup & dropoff (aka “PuDo”) performance across various contexts
  • Run experiments to ensure that new driving behaviors are creating the intended improvements for our riders
  • Build ML models to identify anomalous PuDo behavior
  • Develop metrics that clarify what a ‘good’ PuDo is in various contexts, and collaborate with data engineers to ensure metric availability
  • Help us improve and validate performance for Airport PuDos as we scale to more airports
  • Conduct deep dive analysis to identify areas for future improvement
What we offer
What we offer
  • Discretionary annual bonus program
  • Equity incentive plan
  • Generous Company benefits program
  • Fulltime
Read More
Arrow Right

Senior Product Data Scientist

Microsoft’s Path team helps customers along their journey from the initial idea ...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Job Responsibility
Job Responsibility
  • Create customer and business impact by identifying and leading high-leverage data science and analytics opportunities across product areas
  • Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products
  • Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions
  • Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve
  • Cooperation: Partner effectively and drive alignment with executives, product management, engineers, and other areas of business
  • Influence: engage with stakeholders to produce clear, compelling, measurable, and actionable insights and data-science driven workflows that influence product and service improvements.
  • Fulltime
Read More
Arrow Right

Senior Data Scientist, Product

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
United States , Menlo Park
Salary
Salary:
179000.00 - 210000.00 USD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven expertise in data science, with a strong background in statistical analysis and machine learning
  • Outstanding problem-solving skills and the ability to think critically and creatively
  • Strong programming skills in Python & SQL, or other relevant languages
  • Experience with data visualization tools and techniques
  • Ability to successfully implement projects and compete in a fast-paced environment
  • PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models
Job Responsibility
Job Responsibility
  • Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics
  • Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes
  • Define and maintain key product performance metrics
  • build scalable dashboards to monitor these metrics and advise decision-making
  • Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership
  • Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact
  • Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes
  • Assist with established methods, standard approaches, and promote a data-informed culture within the organization
What we offer
What we offer
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
  • Exceptional office experience with catered meals, events, and comfortable workspaces
  • Fulltime
Read More
Arrow Right

Senior Data Scientist, Analytics (Product)

As a global team, we span across Australia, China, USA, and Singapore, revolutio...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
airwallex.com Logo
Airwallex
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 5 years of industry experience
  • Degree in a quantitative field
  • Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
  • Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • Ability to perform statistical analysis to drive data-informed decisions
Job Responsibility
Job Responsibility
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
  • Fulltime
Read More
Arrow Right

Senior Data Scientist - Data Foundations & AI

You’ll be a Senior Data Scientist on the Data Foundation & AI team at Plaid. In ...
Location
Location
United States , San Francisco
Salary
Salary:
174000.00 - 260400.00 USD / Year
plaid.com Logo
Plaid
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in data science or analytics roles
  • Experience defining evaluation and metrics frameworks
  • Strong SQL and Python skills
  • Experience investigating ambiguous problems end-to-end
  • Ability to operate independently and influence stakeholders
  • Clear communication of trade-offs and insights
  • Ability to thrive in a collaborative environment, working with both technical and non-technical partners to drive measurable outcomes
Job Responsibility
Job Responsibility
  • Defining quality metrics that shape product direction
  • Turning ambiguous customer complaints into structured investigations
  • Building evaluation systems that scale
  • Measuring AI system effectiveness in a principled way
  • Automating workflows using modern AI tools
  • Influencing roadmap decisions through data
What we offer
What we offer
  • medical, dental, vision, and 401(k)
  • equity and/or commission
Read More
Arrow Right

Senior Data Scientist, Provider Data Science

As a Senior Data Scientist, you will join our Data team to help us build and mai...
Location
Location
United States
Salary
Salary:
166500.00 - 185000.00 USD / Year
thymecare.com Logo
Thyme Care
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep experience working with healthcare data such as electronic health records, claims, or prior auth
  • Expertise in analytics, data modeling, and data transformation
  • Deep expertise in dbt and SQL, with experience designing, rebuilding, and owning complex data models and pipelines
  • Experience with large healthcare datasets, ideally in a healthcare-focused technology startup, health plan, or provider group
  • A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus
  • Previous direct involvement drug or Medicare Part D data is a plus
Job Responsibility
Job Responsibility
  • Model data, create visualizations to report to stakeholders, and deliver insights that drive action
  • Partner with Product, Engineering, Operations, and Data Science teams to define and lead improvements to data pipelines
  • Own efforts to reduce latency between data and applications, designing and building scalable data architecture and healthcare data models for pharmacy interventions and provider incentive programs
  • Gain deep understanding of core data architecture and lead improvements to data pipelines
  • Own and lead development of data models for analyzing EMR drug delivery and drug economics
  • Establish key KPIs and reporting standards to make operations more efficient
  • Partner with stakeholders to translate business requirements into technical plans
  • Lead development of utilization and quality metrics and serve as domain expert
  • Leverage data assets for business opportunities and strategic initiatives
What we offer
What we offer
  • Equity
  • Benefits
  • Fulltime
Read More
Arrow Right
New

Senior Data Scientist

Microsoft is a company where passionate innovators come to collaborate, envision...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
  • equivalent experience
Job Responsibility
Job Responsibility
  • Partners cross-functionally to identify and pursue opportunities for applying machine learning and other data-science methods to quota and incentive design
  • Bridges Finance, Sales, Business Sales Operations, and Product teams through deep technical expertise
  • Educates field managers and sales leaders on quota methodology, data inputs, and model mechanics
  • Demonstrate strong business acumen by aligning data science initiatives with strategic goals
  • Leverage an understanding of incentive compensation design, levers, operations, payout administration, governance, compliance and support delivery vehicles
  • Collaborate with business teams to frame analytical questions, define hypotheses, and design experiments
  • Engage with stakeholders to review concepts for solutions using data-driven insights
  • Translate business context into analytical frameworks
  • Design, develop, and implement scalable methods, processes, and systems to consolidate and analyze large, diverse datasets
  • Build and maintain data pipelines and automated processes
  • Fulltime
Read More
Arrow Right
New

Senior Data Scientist

Being part of the founding team, you will have the opportunity to shape the futu...
Location
Location
India , Bengaluru
Salary
Salary:
25000.00 - 40000.00 USD / Year
helpcare.ai Logo
Helpcare AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of hands-on experience in data science, with a focus on Big Data Exploration, Summarization, and ML Deployment
  • Successfully delivered at least one product or pivotal feature, actively involved in business problem identification, researching, sourcing necessary data, and constructing data pipelines
  • Strong grasp of end-to-end data science practices, encompassing data cleaning, exploratory data analysis (EDA), feature engineering, model training, testing, and deployment using ML libraries and frameworks in Python
  • Adept at utilizing SQL for comprehensive analysis
Job Responsibility
Job Responsibility
  • Build novel predictive models on real-time data streams
  • Develop and deploy machine learning models at scale, navigating the challenges presented by large and complex datasets
  • Actively assist in building systems to continuously track model performance, ensuring models remain effective in dynamic environments
  • Communicate findings and insights to technical and non-technical stakeholders
  • Implement effective debugging tools and practices to diagnose and address performance issues or unexpected behaviors
  • Maintain up-to-date documentation on model maintenance procedures, troubleshooting guides, and best practices
  • Fulltime
Read More
Arrow Right