Senior Data Scientist, Marketing
Hone Health, New York, NY, United States
About Hone
Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. We use cutting‑edge scientific advancements to empower men and women/docs to take control of their samenwerking andPACKAGE unlock their full potential. Our people are the heart of everything we do and drive our success. We approach every project through our brand values:
Champion Patient Needs
Execute Relentlessly
Communicate Constructively
Collaborate Generously
Turn Obstacles Into Opportunity
Give With Gratitude
Hone has been fully virtual from day one and will continue to be a remote‑first employer.
Our Ideal Candidate
Our ideal candidate is a mission‑driven, motivated multi‑tasker who is invested in work that is fulfilling and impactful. They embrace change and tackle challenges with enthusiasm. They have an "all‑in" disposition towards work, understanding that we are a fast‑paced, high‑growth organization with evolving priorities. They can excel at both independent tasks and collaborative work, leading with clear and candid communication. They exhibit humble leadership—the ability to drive initiatives forward while remaining excited about continuous learning and development opportunities. They feel strongly about being part of a team that advocates for people to live longer and better lives.
The Role
Hone is looking for a Senior Data Scientist, Marketing to join our growing data team. In this role, you will report to the Sr. Director, Data, Analytics, and Machine Learning and partner closely with Marketing, Growth, and Product stakeholders to improve customer acquisition, conversion, and retention through data‑driven insights and modelling.
You will focus on building and applying statistical models, experiments, and analyses that inform marketing strategy, optimise funnel performance, and improve customer lifetime value. This is a senior individual‑contributor role with significant ownership over execution and delivery. This role is ideal for someone who enjoys translating business questions into machine learning solutions, shipping high‑quality work independently, and collaborating cross‑functionally to drive tangible results.
Primary Responsibilities
Partner with Marketing teams to analyse and optimise the full customer funnel, including acquisition, conversion, retention, and churn.
Build and maintain statistical models and analyses related to Aph key marketing use cases such as attribution, LTV, CAC, churn prediction, cohort analysis, and conversion optimisation.
Design,araka analyse, and interpret experiments (A/B and multivariate tests) across marketing channels and on‑site experiences, ensuring statistical rigour and clear recommendations.
Translate ambiguous business questions into well‑scoped analytical projects with clear success metrics and timelines.
Collaborate with data engineering and analytics engineering partners to define data requirements and ensure reliable, well‑modelled datasets for marketing analytics.
Clearly communicate findings and recommendations to non‑technical stakeholders through presentations, dashboards, and written documentation.
Contribute to shared analytics and modelling best practices within the data science team, including code quality, validation, and documentation.
Support junior team members through informal mentorship, code review, and knowledge sharing where appropriate.
Stay current on industry trends and techniques in marketing analytics, experimentation, and applied data exemplos and applyבילthem pragmatically to Hone's context.
Qualifications
5+ years of professional experience in Data Science, Analytics, or a related quantitative role.
Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
Strong proficiency in Python for data analysis, statistics, and modelling.
Strong proficiency in SQL and experience working with production analytics datasets.
Experience applying data science to marketing or growth problems, including funnel analysis, experimentation, neuen, or retention modelling.
Solid understanding of statistical methods, experimentation design, and model evaluation.
Experience working in cross‑functional, agile environments with marketing, product, or business stakeholders.
Familiarity with version control (Git) and collaborative development workflows.
Experience working in cloud‑based data environments (e.g., AWS, GCP, or Azure).
Strong written and verbal communication skills, with the ability to explain complex analyses to non‑technical audiences.
Ability to manage multiple priorities, work independently, and deliver high‑quality work in a fast‑paced environment.
Benefits
Remote‑first work environment
Competitive compensation and equity options
Health, dental, and vision insurance coverage
Short‑term disability and basic life coverage Kings
Flexible Spending Accounts (FSAs)
Lifestyle Spending Accounts (LSAs)
We follow federal holidays and have uncmuseum time off
Budget for the technology tools you need (laptop, monitor, and/or special software)
A focus on company‑sponsored activities to foster engagement (both virtual and in‑person)
Waived membership fees for any Hone team members utilizing Hone products
These benefits are available to full‑time, regular employees and NOT to independent contractors, hourly or temporary employees, or interns.
Equal Opportunity Employment
We are proud to be an equal‑opportunity workplace committed to building a team culture that celebrates diversity and inclusion. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Please contact us to request accommodation.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology.
Industries
Wellness and Fitness Services.
#J-18808-Ljbffr
Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. We use cutting‑edge scientific advancements to empower men and women/docs to take control of their samenwerking andPACKAGE unlock their full potential. Our people are the heart of everything we do and drive our success. We approach every project through our brand values:
Champion Patient Needs
Execute Relentlessly
Communicate Constructively
Collaborate Generously
Turn Obstacles Into Opportunity
Give With Gratitude
Hone has been fully virtual from day one and will continue to be a remote‑first employer.
Our Ideal Candidate
Our ideal candidate is a mission‑driven, motivated multi‑tasker who is invested in work that is fulfilling and impactful. They embrace change and tackle challenges with enthusiasm. They have an "all‑in" disposition towards work, understanding that we are a fast‑paced, high‑growth organization with evolving priorities. They can excel at both independent tasks and collaborative work, leading with clear and candid communication. They exhibit humble leadership—the ability to drive initiatives forward while remaining excited about continuous learning and development opportunities. They feel strongly about being part of a team that advocates for people to live longer and better lives.
The Role
Hone is looking for a Senior Data Scientist, Marketing to join our growing data team. In this role, you will report to the Sr. Director, Data, Analytics, and Machine Learning and partner closely with Marketing, Growth, and Product stakeholders to improve customer acquisition, conversion, and retention through data‑driven insights and modelling.
You will focus on building and applying statistical models, experiments, and analyses that inform marketing strategy, optimise funnel performance, and improve customer lifetime value. This is a senior individual‑contributor role with significant ownership over execution and delivery. This role is ideal for someone who enjoys translating business questions into machine learning solutions, shipping high‑quality work independently, and collaborating cross‑functionally to drive tangible results.
Primary Responsibilities
Partner with Marketing teams to analyse and optimise the full customer funnel, including acquisition, conversion, retention, and churn.
Build and maintain statistical models and analyses related to Aph key marketing use cases such as attribution, LTV, CAC, churn prediction, cohort analysis, and conversion optimisation.
Design,araka analyse, and interpret experiments (A/B and multivariate tests) across marketing channels and on‑site experiences, ensuring statistical rigour and clear recommendations.
Translate ambiguous business questions into well‑scoped analytical projects with clear success metrics and timelines.
Collaborate with data engineering and analytics engineering partners to define data requirements and ensure reliable, well‑modelled datasets for marketing analytics.
Clearly communicate findings and recommendations to non‑technical stakeholders through presentations, dashboards, and written documentation.
Contribute to shared analytics and modelling best practices within the data science team, including code quality, validation, and documentation.
Support junior team members through informal mentorship, code review, and knowledge sharing where appropriate.
Stay current on industry trends and techniques in marketing analytics, experimentation, and applied data exemplos and applyבילthem pragmatically to Hone's context.
Qualifications
5+ years of professional experience in Data Science, Analytics, or a related quantitative role.
Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
Strong proficiency in Python for data analysis, statistics, and modelling.
Strong proficiency in SQL and experience working with production analytics datasets.
Experience applying data science to marketing or growth problems, including funnel analysis, experimentation, neuen, or retention modelling.
Solid understanding of statistical methods, experimentation design, and model evaluation.
Experience working in cross‑functional, agile environments with marketing, product, or business stakeholders.
Familiarity with version control (Git) and collaborative development workflows.
Experience working in cloud‑based data environments (e.g., AWS, GCP, or Azure).
Strong written and verbal communication skills, with the ability to explain complex analyses to non‑technical audiences.
Ability to manage multiple priorities, work independently, and deliver high‑quality work in a fast‑paced environment.
Benefits
Remote‑first work environment
Competitive compensation and equity options
Health, dental, and vision insurance coverage
Short‑term disability and basic life coverage Kings
Flexible Spending Accounts (FSAs)
Lifestyle Spending Accounts (LSAs)
We follow federal holidays and have uncmuseum time off
Budget for the technology tools you need (laptop, monitor, and/or special software)
A focus on company‑sponsored activities to foster engagement (both virtual and in‑person)
Waived membership fees for any Hone team members utilizing Hone products
These benefits are available to full‑time, regular employees and NOT to independent contractors, hourly or temporary employees, or interns.
Equal Opportunity Employment
We are proud to be an equal‑opportunity workplace committed to building a team culture that celebrates diversity and inclusion. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Please contact us to request accommodation.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology.
Industries
Wellness and Fitness Services.
#J-18808-Ljbffr