Lead Data Scientist

Grow Therapy; New York (NY); Remote; USD 200,000 - 250,000; Full time

Job summary

Join a mission-driven team as a Lead Data Scientist at a prominent healthcare technology company in New York. You'll leverage advanced analytics and machine learning to solve complex business problems, drive strategic insights, and significantly impact mental healthcare through data-driven initiatives. The role offers a competitive salary, comprehensive benefits, and an opportunity to influence the future of therapy services.

Benefits

Comprehensive health insurance, including dental and vision

Flexible working hours

Flexible Time Off

Wellness benefits including mental health mornings

Continuous learning opportunities

In-office meals and snacks

Qualifications

• Requires 4 years of experience in Data Science-related fields.
• Requires 4 years of experience in Statistics and Machine Learning.
• Understanding of causal inference methods.

Responsibilities

• Build statistical models and machine learning algorithms.
• Evaluate marketing campaign performance with data infrastructure.
• Collaborate with teams for data accuracy and reliability.

Skills

Statistics

Machine Learning

Data Storytelling

Python

SQL

Education

Bachelor's degree in Data Science, Machine Learning, or Analytics

Job description

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About us:

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

About us:

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

NOTICE OF JOB OFFER

Job title: Lead Data Scientist

Company name: Grow Care Inc DBA Grow Therapy

Job site address: New York, NY

Job Requirements:

Requires a Bachelor's degree or foreign equivalent in Data Science, Machine Learning, Analytics, or related field, plus 4 years of experience in the job offered or related occupations. Position requires 4 years of experience in Statistics, analytics and machine learning to tackle complex business problems that cross multiple product/project areas and teams. Position also requires 2 years of experience in all of the following: Advanced Python and SQL, as well as understanding of causal inference methods, and understanding of experimentation; Data storytelling, including creating a compelling narrative by extracting insights from data, and summarizing learnings / takeaways for executives; Data infrastructure for tracking marketing campaign performance and evaluating performance; Building measurement models including: Incrementality testing, data-driven attribution, and/or media mix modeling; and Designing, running, and interpreting statistical tests such as A/B Testing, Causal Inference, and/or Difference-in-differences.

Job Duties:

Build statistical, optimization, and machine learning models for applications including ranking, cost estimation and customer life-time value; Use causal inference and Bayesian techniques to estimate the business value of client, provider and payor initiatives across our marketplace; Collaborate with product managers and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines; and Produce data-driven deep-dives into ambiguous product and business deep-dives to inform company strategy.

Telecommuting permitted from anywhere in the U.S.

Salary Offered: $200,000-$250,000 per year

To Apply: Send resumes to [e-mail], ref # GT-ldsc-0125

Travel required? No

Note: This notice is provided as a result of the anticipated filing of an application for permanent labor certification for this job opportunity. Any person may provide documentary evidence bearing on this application to the Certifying Officer of the U.S. Department of Labor Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N– 5311, Washington, DC 20210.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 11, 2025.

Please see the independent bias audit report covering our use of Covey here.

Benefits

• The chance to drive impact within the mental healthcare landscape from day one
• Comprehensive health insurance plans, including dental and vision
• Our dedication to mental health guides our culture. Wellness benefits include (but are not limited to):
• Flexible working hours
• Flexible Time Off
• Company-wide winter break
• Mental health mornings (2 hours each week)
• Wellness Stipend
• In-office meals and snacks
• Continuous learning opportunities
• Competitive salary
• The opportunity to help build a rapidly scaling start-up organization by taking strong ownership of your work, mentorship, and our unbounded leadership opportunities
  
  

Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

As part of our recruitment process, we use a third-party AI tool (Covey) to assist in the initial screening of resumes and applications. This tool analyzes candidates' qualifications based on the information provided in the application to identify potential matches. Certain features may qualify the tool as an AEDT (automated employment decision tool) under New York City Local Law, and may be considered an AI tool under other applicable state and city laws. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. We began using Covey Scout for Inbound on January 11, 2025. The independent bias audit report covering our use of Covey here.

By submitting your application, you acknowledge and consent to the use of automated tools in our recruitment process. You also understand that your application may be processed by AI systems as part of the screening and selection process.

We are committed to ensuring transparency in our hiring practices. If you have any questions about how our AI tools work, or if you would like to request additional information, please contact [e-mail] you require an accommodation due to a disability, or if you have concerns regarding the use of AI in our hiring process, please contact [e-mail]. We will be happy to provide assistance or discuss alternative methods for participating in our recruitment process.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Mental Health Care

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