Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma’s free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc’s Best Workplaces in 2022 and 2023.
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Senior Data Scientist, Machine Learning
The Data Science team helps Alma achieve its mission by leveraging data to inform business strategy and drive product innovations. In this role, you will apply your expertise in machine learning and analytics to advance Alma’s capabilities in Care Finding, which is the domain dedicated to helping clients find the right providers that serve their needs. You will have the opportunity to tackle challenging problems such as client-provider matching, LTV modeling, and user segmentation. This is a cross-functional role where you will collaborate with product managers, software engineers, and designers to define and execute on the Care Finding product roadmap.
What you’ll do:
- Improve client and provider experience by building machine learning models to solve business problems such as provider-client matching and LTV prediction
- Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses
- Define metrics and create dashboards to measure product performance
- Generate insights through deep-dive analysis to inform strategy and prioritization
- Collaborate with product, engineering, and marketing stakeholders to define the product roadmap
- Identify opportunities and initiate new data science projects that drive company OKRs
- Communicate technical insights effectively to influence decision-making
Who you are:
- You have a Master’s degree in a relevant quantitative field (e.g. data science, computer science, statistics, economics) or equivalent in industry experience
- You have 2-4 years of experience as a data scientist supporting product development
- You are an expert in SQL
- You are proficient in either R or Python for data analysis
- You have successfully developed and launched ML models with quantifiable business impact
- You have experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights
- You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch
Benefits:
- We’re a remote-first company
- Health insurance plans through Aetna (medical and dental) and MetLife (vision), including FSA and HSA plans
- 401K plan (ADP)
- Monthly therapy and wellness stipends
- Monthly co-working space membership stipend
- Monthly work-from-home stipend
- Financial wellness benefits through Northstar
- Pet discount program through United Pet Care
- Financial perks and rewards through BenefitHub
- EAP access through Aetna
- One-time home office stipend to set up your home office
- Comprehensive parental leave plans
- 11 paid holidays, 1 Alma Mental Health Day, and 1 Alma Volunteering Day
- Flexible PTO
Salary Band: $160,000-$190,000
Alma’s compensation philosophy is driven by our company value of building equity. To best ensure pay equity, we typically bring in new hires near the middle of our listed salary bands and we do not negotiate our compensation (i.e. all people hired at the same level & role are brought in at the same salary, equity, and benefits). The recruiter you work with can provide more details on our philosophy.
All Alma jobs are listed on our careers page. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information throughout the recruiting process. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with a helloalma.com email address.
