Join Abridge as a Senior Data Scientist to drive product strategy and enhance healthcare data insights with generative AI.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
AI in the day-to-day
Our AI-powered platform transforms patient-clinician conversations into structured clinical notes in real-time.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Scientist at Abridge, the individual will focus on extracting insights from diverse data sources to inform product strategy and enhance user engagement. Proficiency in Python, R, and SQL is essential, along with experience in A/B testing and data visualization tools. This position is ideal for seasoned professionals with a strong background in product-facing roles, particularly those familiar with healthcare data. Abridge's collaborative environment, driven by a mission to improve healthcare understanding, offers a unique opportunity to impact the industry.
Joblaze insights
Quick facts
From the original posting
Our generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Senior Data Scientist to join our growing US-based Data Science team. Your work will be instrumental in driving product strategy, directly influencing how healthcare professionals engage with patient data. You’ll work across Abridge’s full product portfolio, partnering with product, engineering, science, commercial and finance teams to drive decisions with data.
Extract meaningful insights and identify trends and patterns relevant to our business and product, by collecting, cleaning, and analyzing internal and external data.
Ensure end-to-end visibility and understanding of our AI generation pipelines, from internal quality metrics to automated assessment in production.
Investigate and correct issues identified through data operations monitors, tools, and reports.
User Behavior Modeling: Identify user patterns and insights by analyzing user interactions, engagement metrics, funnel analysis, etc. for product improvement and feature development. It is critical for data to drive increased user engagement and retention.
A/B Testing: Design and analyze A/B tests to evaluate the effectiveness of product features and design changes.
AI model evaluation: Design and analyze metrics to evaluate our AI models, guide the team on gaps in evaluation processes, and drive solutions to improve measurable outcomes.
Collaboration with Product Teams: Work closely with product managers, designers, and engineers to translate data insights into product priorities.
Serve as a domain expert for the business context of our analytics data, sharing your understanding of the assumptions and limitations of our business metrics.
Continually enhance our understanding of the business and product, by identifying and filling gaps in our data sources. This includes working closely with multidisciplinary teams such as product, engineering, partner success, and the executive team.
8+ years using Python, R, SQL for analytics
5+ years in product-facing roles, driving product outcomes through A/B testing, defining aggressive project and company-level goals, and helping teams achieve them.
Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.
Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning
Bonus
Knowledge of healthcare settings, electronic health records (EHR), and healthcare billing are all a plus
Must be willing to work from our SF or NYC office at least 3x per week
This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week.
We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.
Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
... and much more!
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