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charliehealthepd
Страна
США
Зарплата
190 000 $ – 270 000 $
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SeniorГибридПолная занятость

Staff Data Scientist (Growth & Marketing)

Оценка ИИ

Высокая оценка обусловлена социально значимой миссией компании, конкурентной заработной платой и возможностью влиять на стратегию роста. Гибридный формат в Нью-Йорке и работа с современным стеком технологий делают вакансию очень привлекательной для опытных специалистов.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль уровня Staff требует не только глубоких технических знаний в области причинно-следственного вывода и моделирования, но и значительного опыта стратегического партнерства с бизнесом. Высокая планка обусловлена необходимостью работать в условиях стартапа и спецификой сферы здравоохранения.

Анализ зарплаты

Медиана215 000 $
Рынок185 000 $ – 280 000 $
Оценка ИИ

Предлагаемый диапазон $190k–$270k полностью соответствует и даже несколько превышает рыночные стандарты для позиции Staff Data Scientist в Нью-Йорке, где медиана составляет около $210k. Верхняя граница диапазона отражает высокую ценность экспертизы в маркетинговой аналитике.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Data Scientist (Growth & Marketing) position at Charlie Health. With over 7 years of experience in data science and a proven track record of partnering with marketing and revenue teams, I am inspired by your mission to provide life-saving behavioral health treatment. My background in building lead scoring models, architecting MMM frameworks, and applying causal inference methods aligns perfectly with the technical leadership this role demands.

In my previous roles, I have successfully navigated ambiguous data environments to deliver actionable insights that drive growth. I am particularly excited about the opportunity to apply statistical rigor to marketing measurement and spend optimization at Charlie Health. Having worked with modern stacks including Snowflake, dbt, and Python, I am confident in my ability to scale your experimentation frameworks and contribute to the company's sustained impact.

I am eager to bring my expertise in marketing analytics and my passion for mission-driven work to your team in New York. Thank you for considering my application. I look forward to the possibility of discussing how my skills can help Charlie Health reach more communities and improve patient outcomes.

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Присоединяйтесь к Charlie Health, чтобы использовать свои навыки в Data Science для спасения жизней и трансформации сферы ментального здоровья.

Описание вакансии

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 - Growth and Marketing, you’ll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling & causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org.

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 Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making
  • Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design
  • Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity
  • Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), & align on consistent metric definitions (e.g. CAC, conversion, retention)
  • Develop spend optimization & channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes
  • Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules & guardrails for each approach
  • Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigor

Requirements

  • 7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams
  • 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
  • Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.)
  • Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation
  • 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
  • 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.

Additional Information

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: https://www.charliehealth.com/careers/current-openings. 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.

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Навыки

  • Tableau
  • A/B Testing
  • Python
  • Salesforce
  • SQL
  • dbt
  • Snowflake
  • ETL
  • Marketing Mix Modeling
  • R
  • Causal Inference
  • Segmentation
  • Hex
  • Lead Scoring

Возможные вопросы на собеседовании

Для уровня Staff важно уметь объяснять сложные статистические концепции нетехническим стейкхолдерам.

Как бы вы объяснили концепцию инкрементальности и важность MMM (Marketing Mix Modeling) руководителю отдела маркетинга?

Вакансия требует опыта в разработке скоринговых моделей для продаж.

Расскажите о вашем опыте создания моделей оценки лидов (Lead Scoring). Какие признаки были наиболее значимыми и как вы оценивали успех модели?

В описании упоминаются DiD и синтетический контроль.

В каких ситуациях вы бы предпочли метод 'разность разностей' (Difference-in-Differences) классическому A/B тестированию для оценки маркетингового канала?

Работа в стартапе предполагает работу с несовершенными данными.

Опишите случай, когда вам приходилось принимать стратегическое решение в условиях неполных или 'грязных' данных. Каков был ваш подход?

Позиция подразумевает оптимизацию бюджетов.

Как вы подходите к моделированию LTV (пожизненной ценности клиента) в контексте здравоохранения, где удержание имеет этический и клинический подтекст?

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charliehealthepd
Страна
США
Зарплата
190 000 $ – 270 000 $