Why this grade
This listing scored 28/100, which is an F. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Full-Time Senior Data Science & Analytics
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.ResponsibilitiesWork with complex data sets to solve challenging problems using analytical and statistical approaches* Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies* Identify and measure success through goal setting, forecasting, and monitoring key metrics* Partner with cross-functional teams to inform and execute product strategy and investment decisions* Build long-term vision and strategy for programs and products* Collaborate with executives to define and develop data platforms and instrumentation* Effectively communicate insights and recommendations to stakeholders* Define success metrics, forecast changes, and set team goals* Support developing roadmaps and coordinate analytics efforts across teamsQualificationsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience* Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)* 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development* Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance* Experience with predictive modeling, machine learning, and experimentation/causal inference methods* Experience communicating complex technical topics in a clear, precise, and actionable manner 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy* Masters or Ph.D. Degree in a quantitative field* Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)* 10+ years of experience doing complex quantitative analysis in product analytics* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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Where this listing came from
- 28 Jul 2026 Jobicy first sighting
Seen on 1 board over 63 days. The employer edited the description 1× since we first recorded it.