Senior Data Scientist
Indexed description
What You'll Do
- Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems.
- Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team.
- Collaborate with cross-functional teams (engineering, product, business stakeholders) to define data science project requirements, scope, and deliverables.
- Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and concisely to diverse audiences.
- Develop and maintain robust data pipelines and infrastructure in collaboration with data engineers to ensure data quality, accessibility, and integrity.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies.
- Contribute to the strategic direction of Waystar's data science initiatives, identifying opportunities for innovation and impact.
- Champion data-driven decision-making throughout the company, educating and influencing stakeholders on the power of data science.
- Evaluate and select appropriate statistical methods and machine learning algorithms for various business challenges, ensuring rigor and validity.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 8+ years of progressive experience in data science, with a proven track record of delivering impactful data-driven solutions in a fast-paced environment.
- Expert-level proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning model development.
- Extensive experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
- Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference.
- Proficiency in SQL for data querying and manipulation, with experience working with large-scale datasets.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
- Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Demonstrated ability to lead projects, mentor team members, and drive successful outcomes.
- Prior experience in the healthcare technology or financial services industry is a plus.
Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (https://twitter.com/Waystar) on Twitter.
WAYSTAR PERKS
- Competitive total rewards (base salary + bonus, if applicable)
- Customizable benefits package (3 medical plans with Health Saving Account company match)
- We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
- Paid parental leave (including maternity + paternity leave)
- Education assistance opportunities and free LinkedIn Learning access
- Free mental health and family planning programs, including adoption assistance and fertility support
- 401(K) program with company match
- Pet insurance
- Employee resource groups
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Job Category: Technology/Engineering
Job Type: Full time
Req ID: R3342
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