Senior Data Scientist

Veeva Systems

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: PleasantonColumbusBostonKansas CityNew YorkRaleighToronto, Ontario, Canada
Salary: $95,000–$175,000 / yr
Posted: 109 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $161k

This role $135k

$82k $218k

below market most similar roles pay here above market

This role pays less than 70% of similar roles. Most pay $129,677–$192,500 — the blue band above. At the midpoint, this role pays about $135k versus about $161k for comparable roles.

Based on 240 similar postings.

Employer

About Veeva Systems

Veeva Systems is a cloud software company serving the global life sciences industry, providing CRM, clinical, regulatory, quality, and data applications used by pharmaceutical and biotech companies.

Veeva Systems currently has 73 open roles on FindRole.

Listed pay typically runs $80,000–$175,000 across 70 roles with salary data.

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View all roles at Veeva Systems

At a glance

TL;DR · Senior Data Scientist

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The Senior Data Scientist joins the Product Management & Alliances team to build models and methodologies transforming multi-source healthcare data into reliable intelligence. This role involves quantitative analysis of claims and financial data alongside qualitative inference to map influence and build organizational charts. Key responsibilities include applying statistical and machine learning techniques to healthcare claims, developing clinical ontologies, and building entity resolution and record-linkage models across health systems, providers, and payers. The candidate will design data-sourcing methodologies to combine heterogeneous inputs like public filings and licensed data into defensible account signals. Required skills include experience with healthcare claims data, organizational data, and fuzzy matching on imperfect data. The work focuses on solving complex problems regarding healthcare organization networks, financial health signals, and account targeting within the US healthcare system.

What does a Data Scientist earn in Remote?

Median $213756 from 37 postings across 17 companies.

See salary data

Skills

Machine Learning Statistics Data Science Entity Resolution Record Linkage Fuzzy Matching Clinical Ontologies Healthcare Claims Data Experiment Design data - cleansing Quantitative Analysis data-sourcing Data Engineering QA

What you'll do

Apply machine learning and statistical techniques to healthcare claims data to build new metrics and clinical ontologies.
Transform public financial data into clear signals regarding the financial health of healthcare organizations.
Build entity resolution and record-linkage models across health systems, providers, employers, and payers.
Develop affiliation and network mapping to infer how organizations and people connect and flow.
Infer organizational structures and decision-maker maps from qualitative signals like titles and role characteristics.
Design data-sourcing methodologies to combine heterogeneous inputs into accurate and defensible account signals.
Build models for account targeting and segmentation using patient-volume and disease-state signals.
Partner with engineering and product teams to move solutions from prototype to production.

What we're looking for

5+ years of hands-on data science and statistics experience.
5+ years of experience working with healthcare data and the US healthcare system.
Experience with healthcare claims data (medical and/or pharmacy) and derived metrics.
Experience with healthcare organizational data including HCO/HCP, IDN, GPO, and payer data.
Experience developing clinical ontologies or standardized healthcare data models.
Experience with entity resolution, record linkage, or fuzzy matching on real-world, imperfect data.
Track record of inferring structure from noisy data through cleansing, experiment design, and scaling.
M.S. in Statistics, Computer Science, Machine Learning, Mathematics, or another quantitative discipline (preferred).

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