About Us 

At SimplePractice, our team is dedicated to improving the health and wellness industry by building a suite of innovative solutions for practitioners and their clients. Our product supports practitioners on their clinical journey to becoming licensed, helps them manage their business and practice once they’re up and running, and enables new clients to discover and interact with practitioners. Taking a practitioner-first approach in everything we do makes it possible for health and wellness practitioners to devote more time to their clients while they use SimplePractice to start, grow, and maintain a successful private practice.

The Role

SimplePractice is seeking a Senior Data Scientist to take the company’s analytics to the next level of their data driven journey. This role serves primarily our Monarch product and ecosystem teams.

The role will perform a variety of data science activities in addition to managing the relationship of the data team with the Monarch, ecosystem, and other stakeholders. Critical is an in-depth understanding of the business data and analytical needs, translating the requirements into data asks, and data asks into information using SQL, machine learning, predictive analytics and a variety of available query and visualization tools. Strong focus on analytics process and quality is essential.

Responsibilities

• Self-starter with excellent problem-solving & critical-thinking skills to meet complex data challenges. Flexible and comfortable with uncertainty in requirements in a fast paced, rapidly changing environment
• Take ownership and champion data topics, with the flexibility and interpersonal skills to interact across the business, especially the Monarch product and product ecosystem, and manage a project / team where required. Develop data analytics competences in the team and drive out the analytics capability
• Analyze complex data sets in depth for discovery purposes, issues and trends/patterns. Make independent/educated judgements & recommendations regarding appropriate solutions
• Help define and provide oversight for process and data quality across the data group operations
• Monitor the daily running of the production data visualization , particularly with respect to consistency, correctness, and ease of use. Manage data-related interventions through to resolution
• Create and maintain various data products, including delivery via visualization tool dashboards, reports, ad hoc data analysis, spreadsheets, graphs
• Assist in team planning and assist in the wider team’s Change Management to enable change projects & business requests

Desired Skills & Experience

• Top-notch SQL, statistical/window functions, complex data types
• Applied experience with machine learning on large data sets
• Experience with statistical modelling software such as Python, R, MatLab, Pandas, or similar technologies
• Experience leading teams
• Excellent data analysis skills (investigation, modelling, mapping and gap analysis)
• Excellent project management

Bonus Points

• Advanced data analytics and data science
• Experience building machine learning models from end to end, from stakeholder elicitation through deployment in a production environment
• Relevant work experience in applying statistical analysis including linear models, stochastic models, and the ability to appropriately select the right tool based on the time and technology constraints
• ETL experience is highly preferred, including DBT
• Expert in relational technology
• Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, we may collect the following categories of personal information about you:

• Identifiers (e.g., name, address, email address, and phone number); protected characteristics (e.g., sex, gender, age, citizenship, disability status, and veteran status); professional or employment-related information (e.g., employment history, educational background, certificates and licenses, work eligibility information and other information obtained from your resume, cover letter, your responses to our application questions, background check forms, and your references); other personal records (e.g., signature, photograph, and criminal background information); and inferences drawn from personal information collected (e.g., creating a profile that reflects your abilities and aptitudes).

We collect the above categories of personal information for the following business purposes:

• To perform recruitment and hiring services; to manage the workforce; to comply with federal and state laws, and to maintain security (e.g., to detect and prevent against security risks and incidents, to prevent against fraudulent or illegal activity, and to ensure compliance with our company policies and procedures).

For more information about our privacy practices, please visit our Privacy Policy or contact us at [email protected].