Match score not available

Lead Data Scientist: Growth Marketing

EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE
Remote: 
Full Remote
Contract: 
Salary: 
200 - 220K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
California (USA), United States

Offer summary

Qualifications:

3-5 years experience in predictive modeling for LTV and Churn, Strong programming skills in Python or R, proficiency in data manipulation tools.

Key responsabilities:

  • Develop and deploy predictive models to forecast LTV and predict Churn
  • Utilize statistical techniques and machine learning for actionable growth insights
  • Integrate models into marketing campaigns for customer acquisition and retention optimization
  • Monitor model performance, refine methodologies, and present findings to stakeholders
  • Create and maintain data products for visualization and analysis purposes
SimplePractice logo
SimplePractice Scaleup https://www.simplepractice.com/
201 - 500 Employees
See more SimplePractice offers

Job description

Logo Jobgether

Your missions

About Us 

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.

The Role

Are 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.

Responsibilities:

  • Collaborate 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 & Experience 

  • Proven 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 DBT
    • Looker and Tableau visualization tools
    • Snowflake database engine
    • Experience with Cloud-based infrastructure, particularly AWS
  • Expert in relational technology
    • Metadata-drive and database-centric concepts
    • Enterprise data modeling, enterprise dimensional modeling
    • Enterprise data architecture master data management
    • Big data
  • 3-5 years of experience building LTV and churn models for digital/online businesses
  • MS/PhD in Computer Science, Statistics, Mathematics, or related quantitative field.

 


Base Compensation Range

$200,000 - $220,000 annually

Base 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.

Benefits

We offer a competitive benefits program including:

  • Medical, dental, vision, life & disability insurance
  • 401(k) plan with company match
  • Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
  • Mental health resources
  • Paid parental leave & Backup Care
  • Tuition reimbursement
  • Employee Resource Groups (ERGs)

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, 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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Data Scientist Related jobs