Senior Data Scientist

Waystar • Atlanta, GA

1d

About The Position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.

Requirements

• 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.
• 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.

Nice To Haves

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
• Prior experience in the healthcare technology or financial services industry is a plus.

Responsibilities

• 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.

Benefits

• Competitive total rewards (base salary + bonus, if applicable)
• Customizable benefits package (3 medical plans with Health Saving Account company match)
• Generous paid time off for non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays.
• Flexible time off for 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior