Research Data Scientist, Core Metrics
How well this resume fits
Compared with a sample resume. Compare your own
Not sure You meet 3 of 7 required items, partly 2, and 2 can't be told from your resume.
How close the work is
Moderate2 of 4 named skills are shown in described work and 0 are only listed or mentioned (rule: met = 1, partial = ½; strong ≥ 75%, moderate ≥ 50%).
How strong your resume shows it
ModerateOf 7 supported items, 2 have strong evidence (a reported result or a confirmed answer) and 2 moderate (used in a described task).
What the job asks for
| What the job asks | Required? | Do you have it? | From your resume |
|---|---|---|---|
| Education Master's Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. | Required | Partly The résumé lists a degree below the level the job names. | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
| Experience 3 years of work experience 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. | Required | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 3+. | Data Analyst Junior Data Analyst Data Analytics Intern |
| Skill Python 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. | Required | Yes The résumé shows Python used with a reported result. | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. Wrote a demand forecast in Python (pandas, statsmodels) for 120 lanes that cut forecast error from 22% to 14%. Pulled and cleaned patient visit data (about 2M rows a month) in SQL and Python for clinic scheduling reports. |
| Skill R 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. | Required | Not sure The résumé doesn't mention R. That means unknown, not lacking. | Nothing found |
| Skill SQL 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. | Required | Yes The résumé shows SQL used with a reported result. | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. Built and maintain 14 Tableau dashboards on SQL Server for on-time delivery, carrier cost and warehouse throughput, used by 60+ managers each week. Pulled and cleaned patient visit data (about 2M rows a month) in SQL and Python for clinic scheduling reports. |
| Skill statistical analysis 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. | Required | Not sure The résumé doesn't mention statistical analysis. That means unknown, not lacking. | Nothing found |
| Education PhD 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. | Required | Partly The résumé lists a degree below the level the job names. | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
| Experience 5 years of work experience 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. | Nice to have | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 5+. | Data Analyst Junior Data Analyst Data Analytics Intern |
| Education PhD 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. | Nice to have | Partly The résumé lists a degree below the level the job names. | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
Left out 1 sentence about pay: they describe the employer, not what you need.
How the match was worked out
Coverage: what the job asks, what the résumé shows, what is left
61% of the weighted requirements are covered by résumé evidence. preferred: met 1, partly 1, missing 0 · required: met 3, partly 2, missing 2
weight = 3 required / 2 preferred / 1 unknown, +1 emphasis (expert, strong, extensive…), +1 named in the job title, +½ per repeat (max +1); rating = 3 met, 2 partially met with the term in described work, 1.5 partially met (listed or mentioned), 0 unknown or mismatch; coverage = Σ weight×rating/3 ÷ Σ weight over rows that can be judged (work-authorization, location and clearance rows need your answer and are left out).
Missing from the résumé
- required r4 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or (weight 4.0)
- required r6 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or (weight 3.5)
Only partly shown
- required r1 Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. (weight 3.0) missing: Data Science, Mathematics, Physics, Engineering found: Statistics, Economics, Operations, Research
- required r7 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or (weight 3.0)
- preferred r9 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or (weight 2.0)
Needs your answer
Nothing depends on an answer.
What the role does (not weighted)
On the résumé: Active Directory, Google, Python
Not on the résumé: KPIs, Data Science, Search, SAGE, Search Ads, Google Experience, Discovery, B+, Training, Collaboration, Stakeholder management, Data modeling, Design, Self-starter
Job title terms: Research (found), KPIs (not found)
What the résumé says (as the rules read it)
Skills: Python (supported by outcome), SQL (supported by outcome), Tableau (supported by outcome), Excel (supported by outcome), pandas (supported by outcome), PostgreSQL (used in task), A/B testing (listed), Git (listed), Matplotlib (listed), NumPy (listed), Power BI (listed)
Roles: Data Analyst at Harborline Logistics (Jun 2022 – Present); Junior Data Analyst at Cedar Ridge Health Network (Jul 2020 – May 2022); Data Analytics Intern at Lakeshore State University, Office of Institutional Research (May 2019 – Aug 2019)
Years in dated roles: 6.7
Education: B.S. in Statistics (completed)
Certifications: Tableau Desktop Specialist, Google Data Analytics Professional Certificate
Quantified achievements: 4
On the résumé but not asked by this job: Healthcare, Reporting, Dashboards, Supply chain, Data warehousing, Forecasting, Data cleaning, Active Directory, Finance, Spreadsheets
Résumé terms the rules don't know: OH, Server, Network, Office, Access, NYC, Taxi Trip Analysis, Tableau Public, Harborline, Economics, Professional Certificate (matched by plain text only; tell us if one should be a skill)
Job description
Minimum qualifications: - Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. - 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: - 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. About the job Ads Metrics is the Data Science team for Search ads. We support the SAGE (Search Ads and Google Experience) organization in developing the most important ad products at Google - from classic text ads, to rich shopping ads, to exciting new products like Discovery ads. These products - the heart of Google’s business driving $B+ in annual revenue - are complex, advanced, and they are rapidly growing and evolving. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities - Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. - Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. - Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. - Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.