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Data Scientist - Job Opportunity at Mochi Health

San Francisco, United States
Full-time
Mid-level
Posted: April 24, 2025
On-site
USD 150,000-200,000 per year

Benefits

Comprehensive medical, dental and vision insurance with top-tier coverage
401(k) with company matching (above market standard)
Unlimited PTO with encouraged usage policy
Life insurance fully covered by company
Premium office perks including espresso bar and daily catered lunches
Wellness program including mindfulness sessions and fitness benefits
Comprehensive mental health support
Team building and offsite events
Modern office in prime SF location

Key Responsibilities

Lead end-to-end operational metrics development and implementation with direct business impact
Design and deploy strategic KPIs across multiple departments
Develop and implement AI/ML solutions for workflow optimization
Create and maintain data-driven automation systems
Build and manage cross-functional reporting solutions
Lead causal inference and A/B testing initiatives
Develop custom internal tools for operational efficiency

Requirements

Education

Bachelor's or Master's in a quantitative field (e.g., Statistics, Engineering)

Experience

2+ years

Required Skills

Python SQL Dashboard development (Tableau) Internal tools development (Streamlit) Clear communication Self-directed work style Adaptability in fast-paced environment
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Sauge AI Market Intelligence

Industry Trends

Digital health sector is experiencing rapid consolidation with increasing focus on operational efficiency and scalable care delivery models Growing demand for data scientists who can bridge technical and operational domains in healthcare Increasing integration of AI/ML in healthcare operations, particularly in patient engagement and care delivery optimization Shift towards data-driven decision making in telehealth operations

Salary Evaluation

The offered salary range of $150,000-$200,000 is competitive for mid-level data scientists in San Francisco, slightly above market median for healthcare technology companies. The equity package adds significant potential upside.

Role Significance

Based on company stage and role description, likely working in a data team of 3-7 people with cross-functional collaboration across departments.
Mid to senior-level individual contributor role with significant autonomy and direct impact on business operations. Position appears to have potential for growth into technical leadership.

Key Projects

End-to-end operational metrics systems development AI/ML integration for workflow optimization Cross-functional dashboard development and deployment Process automation and efficiency improvement initiatives Data-driven decision support systems

Success Factors

Strong balance of technical skills and business acumen Ability to translate complex data insights into actionable business recommendations Experience with healthcare or telehealth operations Proven track record in building and deploying production-ready data solutions Strong communication skills and stakeholder management experience

Market Demand

Very high demand with growing trajectory. Healthcare technology companies are increasingly competing for data scientists who understand both technical and healthcare operational contexts.

Important Skills

Critical Skills

Python and SQL proficiency for building robust data solutions Experience with business intelligence tools for stakeholder communication Ability to design and implement KPIs that drive business decisions Understanding of healthcare operations and metrics

Beneficial Skills

Experience with healthcare data regulations and compliance Knowledge of machine learning deployment in production environments Understanding of telehealth business models Experience with real-time analytics systems

Unique Aspects

Profitable without VC funding, indicating strong business fundamentals
Focus on operational efficiency in healthcare delivery
Combination of healthcare impact with data science innovation
Strong emphasis on employee wellbeing and work-life balance

Career Growth

2-3 years potential for advancement given company's growth trajectory and role exposure

Potential Next Roles

Lead Data Scientist Data Science Manager Head of Analytics Director of Data Science Technical Product Manager

Company Overview

Mochi Health

Mochi Health is a profitable, bootstrapped telehealth company focused on weight management, operating without VC funding which suggests strong unit economics and sustainable growth model.

Emerging player in the competitive telehealth space with focus on sustainable growth rather than rapid scaling at all costs.
Headquartered in San Francisco with potential for market expansion given the scalable nature of telehealth services.
Fast-paced startup environment with emphasis on work-life balance and employee wellbeing, indicated by comprehensive benefits and focus on team connection.
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