Alma

2 Jobs

1,325 Employees

About the Company

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 24,000 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, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures.

Listed Jobs

Company Name: Alma
Job Title: Backend Engineer I, Claims Reconciliation
Job Description: **Job Title**: Backend Engineer I – Claims Reconciliation **Role Summary**: Design, develop, and maintain scalable backend services that handle post‑submission claims processing and reconciliation for mental health providers. Lead edge‑case resolution, performance optimization, and security compliance while collaborating with product, design, and engineering teams. **Expectations**: - 1–3 years of backend engineering experience building production systems at scale. - Proven ability to write clean, testable code and utilize version control (Git). - Strong communication skills and willingness to experiment, iterate, and decide data‑driven. - Collaborative mindset to work closely with PMs, designers, and cross‑functional stakeholders. **Key Responsibilities**: - Build and extend Python/Django micro‑services that automate claims reconciliation workflows. - Design APIs and database schemas using MySQL and ensure high availability and scalability. - Implement automated testing suites (unit, integration) and continuous integration pipelines. - Conduct performance profiling, bottleneck analysis, and security reviews to meet company standards. - Translate user research and stakeholder feedback into technical solutions and backlog items. - Mentor junior teammates and contribute to technical standards and best practices. **Required Skills**: - Backend development with Python (preferred) and modern web frameworks (Django, Flask, FastAPI). - Relational database design and optimization (MySQL or equivalent). - Linux/Unix server administration fundamentals. - Version control systems (Git) and branching strategies. - Automated testing principles and experience with testing tools (PyTest, unit test frameworks). - Strong problem‑solving, debugging, and documentation skills. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).

Company Name: Alma
Job Title: Senior Data Scientist I, Analytics
Job Description: **Job Title:** Senior Data Scientist I, Analytics **Role Summary:** Apply advanced analytics and machine‑learning techniques to enhance Revenue Cycle Management (RCM) processes, reduce insurance claim errors, and predict patient financial responsibility. Partner with product, engineering, and design teams to shape and execute the RCM product roadmap. **Expectations:** - 2–4 years of data‑science experience supporting product development. - Master’s degree in a quantitative discipline (e.g., Data Science, Computer Science, Statistics, Economics) or equivalent industry experience. - Ability to translate technical findings into actionable business decisions. - Remote‑first work style with strong self‑management and collaboration skills. **Key Responsibilities:** - Conduct deep‑dive analyses to generate insights that guide strategy and prioritization. - Design, develop, and deploy ML models (e.g., insurance eligibility prediction) to improve RCM performance. - Define product metrics, build dashboards, and monitor performance indicators. - Design, run, and analyze A/B tests to evaluate model impact and validate product hypotheses. - Collaborate with product managers, engineers, and designers to define roadmap items. - Identify and initiate new data‑science projects aligned with company OKRs. - Communicate technical results clearly to stakeholders to influence decision‑making. **Required Skills:** - Expert-level SQL. - Proficiency in Python or R for data analysis and model building. - Experience developing, evaluating, and deploying machine‑learning models. - Proven ability to design and interpret A/B testing experiments. - Strong analytical thinking, problem‑solving, and data‑visualization skills. - Effective written and verbal communication; ability to present insights to non‑technical audiences. **Required Education & Certifications:** - Master’s degree in a relevant quantitative field (Data Science, Computer Science, Statistics, Economics, etc.) **or** equivalent professional experience. - No specific certifications required, though certifications in machine learning, data analytics, or related areas are a plus.