Veeva Systems is a missiondriven organization and pioneer in industry cloud helping life sciences companies bring therapies to patients faster. As one of the fastestgrowing SaaS companies in history we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
As a Product Manager on the Veeva Compass team you will own the design and for major components of our Prescriber and National products.
You are excited about the productization of Data Science features and building statistics at scale that can run with quality across billions of records delivering data sets directly to customers. Youll work on the productization of the product pipeline and statistical models such as projection methodologies anomaly detection scaling approaches clustering and more. This also will include designing features writing detailed product specifications and working with the Data Science and Development team to bring designs to fruition.
This is a great opportunity for someone who is excited about healthcare data and product design from the ground up and working to solve a complex problem to deliver quality reliable data to customers.
What Youll Do
Own and design datafocused product features from start to finish including authoring highquality design specifications quality control checks and data dictionaries as well as managing Jira stories
Collaborate with other Product Managers and Data Scientists to find meaning in high volumes of data using statistical analysis in an approach that can be productized at scale
Investigate claims data for data quality and other nuances to inform product features
Manage feature prioritization and backlog grooming with the Development team
Support release and sprint planning to ensure product enhancements support customers at the right time and in the right sequence
Collaborate closely with a team of Data Scientists Product Managers and engineers to design and deliver capabilities from prototype to scale then iterate and enhance
Requirements
6 years of handson Product Management analytics or data science experience
Experience working on statisticaldriven data products such as productizing models
Experience and focus on the elements critical to supporting data sciencedriven products reliable inbound data managing data gaps and variation data cleansing and data quality
Experience implementing statistical models or machine learning algorithms and scaling to productize with productionready insights
Proficient with SQL and/or Python
Comfortable working within the AWS environment
Strong communication skills and ability to work across internal teams
B.S. or M.S. in Applied Statistics Mathematics Computer Science Machine Learning or other quantitative discipline
Experience with prescription and medical claims data required
Perks & Benefits
Medical dental vision and basic life insurance
PTO and companypaid holidays
Retirement programs
1 charitable giving program
Compensation
Base pay: $100000 $200000 CAD
The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications experience and expected contributions. This position may also be eligible for other types of compensation in addition to base salary such as variable bonus and/or stock bonus.
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Veevas headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color sex sexual orientation gender identity or expression religion national origin or ancestry age disability marital status pregnancy protected veteran status protected genetic information political affiliation or any other characteristics protected by local laws regulations or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process please contact us at.
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