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Senior Data Scientist - Growth

HM

Location
United States
Henry Meds

Job Description

About Henry Meds:Tens of millions of Americans are unable to manage their chronic conditions with commercial medications. Using specialized compounded formulas tailored to individual patient needs, Henry helps people who have been left behind by the commercial market, all while remaining easy, accessible, and affordable. Our customers get access to the care they need, and save thousands of dollars on out-of-pocket healthcare expenses per year!

Enjoy the casual culture, remote-first workplace, and generous PTO/benefits!

Apply today to make a direct, daily impact in one of the fastest-growing startups in the country - we are excited to meet you!

Position Overview:

As the first Senior Data Scientist supporting our growth measurements, your role is pivotal in driving data informed strategy. In this role, you can expect to create predictive LTV and Churn modeling to coincide with our billing cycles. These findings will allow us to refine our customer experience by discovering common challenges faced without our platform. In this role you will interact closely with our finance and customer success teams.

Duties and Responsibilities:

  • Create forward facing projections that encompass growth capacity and financial modeling
  • Handle FP&A, CRM, and customer experience data metrics
  • Develop Churn/ LTV models that inform data-driven strategy decisions
  • Work towards building a large scale model to discover retention opportunities within certain customer groups
  • Collaborate with marketing and customer success to highlight instances these groups could intervene with customers to increase retention/LTV
  • Roadmap a tactical approach for immediate churn modeling and a long-term approach for future financial projections

You will likely have:

  • Excellent ability using Python, SQL, and BigQuery
  • Experience with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure, or GCP)
  • Implemented Churn or LTV models into production environments
  • Excellent communication and presentation skills, with the ability to translate complex findings into actionable insights for non-technical stakeholders
  • Production, cloud- based platforms using IDEs for machine learning (notebook instances, model hosting/management, etc.)

You may have:

  • Recent experience working within an ecommerce business
  • Maintaining models over a significant period of time
  • Experience working with data sources that have not yet been ingested
  • Recent experience building and/or deploying new roadmaps
  • Exposure mentoring or working with junior data scientists
  • Startup or telehealth experience
  • Experience working in a startup environment, a telehealth company, or a DTC business model

Company Offers:

  • Platinum PPO Healthcare + Vision & Dental (Henry covers 99% for employees and 50% for their qualified dependents).
  • 401(k) with matching contributions beginning your first day.
  • Unlimited PTO.
  • Fully remote position with occasional travel.
  • Impactful, rewarding work as part of a fast-growing brand helping thousands of people every day.

Equal Opportunity Statement:

Henry Meds is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.

Applicants must be authorized to work for ANY employer in the U.S. We cannot sponsor or take over sponsorship of an employment Visa at this time.

LI-TC1

Advice from our career coach

As the first Senior Data Scientist at Henry Meds, your role is crucial in driving data-informed strategies and refining the customer experience through predictive LTV and churn modeling. To stand out as an applicant, highlight your experience with Python, SQL, and BigQuery, along with practical experience in implementing churn or LTV models in production environments. Showcase your ability to effectively communicate complex findings to non-technical stakeholders and your experience with cloud-based platforms for machine learning. Additionally, if you have recent experience in ecommerce, mentoring junior data scientists, or working in a startup environment or telehealth company, make sure to emphasize these aspects in your application to demonstrate your fit for the role.

  • Highlight your proficiency in Python, SQL, and BigQuery
  • Showcase practical experience in implementing churn or LTV models
  • Emphasize your communication skills and ability to translate complex findings for non-technical stakeholders
  • Demonstrate experience with cloud-based platforms for machine learning
  • If applicable, highlight recent experience in ecommerce, mentoring junior data scientists, or working in a startup or telehealth company

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About the job

Jul 18, 2024

Full-time

  1. US United States

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