Data Masked
Principal Data Scientist: Growth Marketing
Data Masked, Santa Monica, California, United States, 90403
Principal Data Scientist: Growth Marketing At SimplePractice, we’re changing the face of health and wellness through innovative solutions that simplify the life of health and wellness practitioners. Think your neighborhood therapist, nutritionist, speech language pathologist, or massage therapist—the small business owners who dedicate their careers to helping others. Our solution provides them with an all-in-one platform to manage their practice and with the tools and resources to thrive as a practitioner and business owner.
Learn more about the general tasks related to this opportunity below, as well as required skills.The RoleAre you passionate about leveraging data to drive growth and optimize marketing strategies? We are seeking a talented Data Scientist to join our dynamic Growth Marketing team at SimplePractice.com and lead the development of advanced predictive models for Customer Lifetime Value (LTV), Churn and feature utilization. These models will not only inform growth strategies and marketing campaigns, but also help guide product development decisions by providing actionable insights derived from advanced statistical techniques and machine learning algorithms. Your work will directly impact our ability to enhance user engagement, optimize customer acquisition and retention efforts, and shape the future of SimplePractice.com.ResponsibilitiesCollaborate closely with the Growth Marketing team to develop and deploy predictive models to forecast Customer Lifetime Value (LTV) and predict customer Churn.Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets and extract actionable insights that inform growth strategies.Work cross-functionally to integrate models into marketing campaigns and business processes, optimizing customer acquisition and retention efforts.Continuously monitor model performance and refine methodologies to improve accuracy and reliability in a fast-paced, data-driven environment.Present findings and recommendations to key stakeholders in Growth Marketing and beyond, influencing strategic decisions with data-driven insights.Create and maintain various data products, including delivery via visualization tool dashboards, reports, ad hoc data analysis, spreadsheets, graphs.Desired Skills & ExperienceProven experience as a Data Scientist or similar role, with a focus on building predictive models for LTV and Churn in a business setting, ideally within a Growth Marketing context.Strong proficiency in programming languages such as Python or R, and familiarity with data manipulation and visualization tools (e.g., pandas, NumPy, matplotlib, seaborn).Solid understanding of statistical modeling, machine learning techniques (e.g., regression, classification, clustering), and their practical applications in marketing analytics.Experience working with large datasets and databases (SQL, NoSQL), with a knack for extracting meaningful insights from complex data sets.Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders, particularly within Growth Marketing.ETL experience is highly preferred, including DBTLooker and Tableau visualization toolsSnowflake database engineExperience with Cloud-based infrastructure, particularly AWSExpert in relational technologyMetadata-drive and database-centric concepts3-5 years of experience building LTV and churn models for digital/online businessesMS/PhD in Computer Science, Statistics, Mathematics, or related quantitative field.Base Compensation Range$200,000 - $220,000 annuallyBase salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.We offer a competitive benefits program including:Medical, dental, vision, life & disability insurance401(k) plan with company matchFlexible Time Off (FTO), wellbeing days, paid holidays, and summer FridaysMental health resourcesPaid parental leave & Backup CareEmployee Resource Groups (ERGs)California Job Applicant Privacy NoticeThank 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, you are subject to the SimplePractice California Job Applicant Privacy Notice.For more information about our privacy practices, please contact us at privacy@simplepractice.com.Seniority level
Seniority level Mid-Senior levelEmployment type
Employment type Full-timeJob function
Job function Engineering and Information TechnologyIndustries Software DevelopmentReferrals increase your chances of interviewing at SimplePractice by 2xInferred from the description for this job
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Learn more about the general tasks related to this opportunity below, as well as required skills.The RoleAre you passionate about leveraging data to drive growth and optimize marketing strategies? We are seeking a talented Data Scientist to join our dynamic Growth Marketing team at SimplePractice.com and lead the development of advanced predictive models for Customer Lifetime Value (LTV), Churn and feature utilization. These models will not only inform growth strategies and marketing campaigns, but also help guide product development decisions by providing actionable insights derived from advanced statistical techniques and machine learning algorithms. Your work will directly impact our ability to enhance user engagement, optimize customer acquisition and retention efforts, and shape the future of SimplePractice.com.ResponsibilitiesCollaborate closely with the Growth Marketing team to develop and deploy predictive models to forecast Customer Lifetime Value (LTV) and predict customer Churn.Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets and extract actionable insights that inform growth strategies.Work cross-functionally to integrate models into marketing campaigns and business processes, optimizing customer acquisition and retention efforts.Continuously monitor model performance and refine methodologies to improve accuracy and reliability in a fast-paced, data-driven environment.Present findings and recommendations to key stakeholders in Growth Marketing and beyond, influencing strategic decisions with data-driven insights.Create and maintain various data products, including delivery via visualization tool dashboards, reports, ad hoc data analysis, spreadsheets, graphs.Desired Skills & ExperienceProven experience as a Data Scientist or similar role, with a focus on building predictive models for LTV and Churn in a business setting, ideally within a Growth Marketing context.Strong proficiency in programming languages such as Python or R, and familiarity with data manipulation and visualization tools (e.g., pandas, NumPy, matplotlib, seaborn).Solid understanding of statistical modeling, machine learning techniques (e.g., regression, classification, clustering), and their practical applications in marketing analytics.Experience working with large datasets and databases (SQL, NoSQL), with a knack for extracting meaningful insights from complex data sets.Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders, particularly within Growth Marketing.ETL experience is highly preferred, including DBTLooker and Tableau visualization toolsSnowflake database engineExperience with Cloud-based infrastructure, particularly AWSExpert in relational technologyMetadata-drive and database-centric concepts3-5 years of experience building LTV and churn models for digital/online businessesMS/PhD in Computer Science, Statistics, Mathematics, or related quantitative field.Base Compensation Range$200,000 - $220,000 annuallyBase salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.We offer a competitive benefits program including:Medical, dental, vision, life & disability insurance401(k) plan with company matchFlexible Time Off (FTO), wellbeing days, paid holidays, and summer FridaysMental health resourcesPaid parental leave & Backup CareEmployee Resource Groups (ERGs)California Job Applicant Privacy NoticeThank 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, you are subject to the SimplePractice California Job Applicant Privacy Notice.For more information about our privacy practices, please contact us at privacy@simplepractice.com.Seniority level
Seniority level Mid-Senior levelEmployment type
Employment type Full-timeJob function
Job function Engineering and Information TechnologyIndustries Software DevelopmentReferrals increase your chances of interviewing at SimplePractice by 2xInferred from the description for this job
Medical insuranceVision insurance401(k)Disability insuranceGet notified about new Data Scientist jobs in
Santa Monica, CA .Los Angeles Metropolitan Area $153,000 - $221,500 2 weeks agoLos Angeles Metropolitan Area $110,000 - $170,000 1 month agoSan Marino, CA $9,600 - $15,600 5 months agoLos Angeles, CA $160,000 - $180,000 1 hour agoSoftware Engineer for AI Training Data (Python)entry level java programmer/entry level data scientist /data analyst
Pasadena, CA $78,000 - $128,000 3 days agoSoftware Engineer, Discovery Machine Learning
Los Angeles Metropolitan Area $175,000 - $265,000 2 weeks agoLos Angeles, CA $151,800 - $243,100 2 weeks agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr