Job description

Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you. About the Role As a Staff Data Scientist, you’ll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities Partner with a wide variety of stakeholders (Product, Eng, Ops, Finance, Strategy, Clinical, etc.) to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company’s mission Build and establish models, methods, and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams Leverage AI to uplevel your skills and everyone around you Leverage Bayesian and Frequentist statistical approaches to guide decision-making Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives Serve as a tech lead for the Data Science org with strong mentorship of peers and are seen as the go-to expert on Data Science and can help shape the vision of the team Requirements 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity. Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders. Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc. Experience with leveraging LLMs on text to generate insights and amplify existing work. Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement). Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels. Bonus: Healthcare Experience, Start-up Experience Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here . The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don’t give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: [application link] Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Requirements

Must-haves

Why Charlie Health?
Partner with a wide variety of stakeholders (Product, Eng, Ops, Finance, Strategy, Clinical, etc.) to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making
Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company’s mission
Build and establish models, methods, and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams
Leverage AI to uplevel your skills and everyone around you
Leverage Bayesian and Frequentist statistical approaches to guide decision-making
Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking
Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives
Serve as a tech lead for the Data Science org with strong mentorship of peers and are seen as the go-to expert on Data Science and can help shape the vision of the team
7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity.
Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact
Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc.
Experience with leveraging LLMs on text to generate insights and amplify existing work.
Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels.
Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes
Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.

Nice-to-haves

Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders.
Bonus: Healthcare Experience, Start-up Experience

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigosqlpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision