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Marketing Data Scientist - Job Opportunity at Mochi Health

San Francisco, United States
Full-time
Mid-level
Posted: May 2, 2025
On-site
USD 150,000-200,000 per year

Benefits

Premium Healthcare Package (Medical, Dental, Vision) - Top-tier coverage exceeding industry standards
Unlimited PTO with Wellness Focus - Progressive time-off policy reflecting modern work culture
401(k) with Company Match - Competitive retirement benefits package
Life Insurance Coverage - Full coverage indicating strong employee security focus
Comprehensive Wellness Program - Including mindfulness sessions and fitness perks
Daily Catered Lunch - Premium in-office perk valued at ~$5,000/year
Premium Office Amenities - Including unlimited specialty beverages
Team Events and Retreats - Strategic investment in culture building

Key Responsibilities

Lead end-to-end marketing analytics strategy with direct impact on business growth decisions
Develop and implement sophisticated attribution models (MMM, MTA) for ROI optimization
Design and execute advanced A/B testing frameworks for conversion optimization
Create automated reporting systems using Python and SQL for scalable analytics
Drive strategic marketing decisions through data-driven insights and recommendations
Develop audience segmentation models to optimize customer acquisition costs
Build internal analytics tools for campaign optimization and budget allocation

Requirements

Education

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

Experience

2+ years of experience working with growth, digital marketing, or product data

Required Skills

Strong SQL and Python programming Digital marketing channel analysis (Meta, Google Ads, TikTok) Dashboard development (Tableau) Internal tools development (Streamlit) Clear communication and stakeholder management Self-directed problem-solving Adaptability in fast-paced environments
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Sauge AI Market Intelligence

Industry Trends

The telehealth industry is experiencing rapid growth, with a projected CAGR of 24.2% through 2027, creating increased demand for data-driven marketing optimization. Weight management telehealth services are emerging as a high-growth segment, driven by increasing consumer adoption of digital health solutions. Marketing data science roles are evolving to require deeper integration of traditional marketing analytics with advanced machine learning capabilities.

Salary Evaluation

The offered salary range of $150,000-200,000 is competitive for mid-level marketing data scientists in San Francisco, falling within the 65th-85th percentile for similar roles. The combination of equity and comprehensive benefits makes the total compensation package particularly attractive.

Role Significance

Likely part of a lean analytics team of 3-5 members, working closely with marketing and product teams of 10-15 people total.
Mid to senior individual contributor role with significant strategic input and direct access to leadership decision-making. The position suggests potential for rapid advancement given the company's growth trajectory.

Key Projects

Development of comprehensive marketing attribution systems for multi-channel campaign optimization Creation of automated reporting infrastructure for marketing performance tracking Implementation of advanced audience segmentation models for targeted marketing campaigns Design and execution of conversion optimization experiments

Success Factors

Strong balance of technical expertise with business acumen Ability to translate complex analytical findings into actionable marketing insights Experience with rapid experimentation and iterative optimization Excellent stakeholder management and communication skills Proactive problem identification and solution development

Market Demand

Very high demand with growing competition for talent. The intersection of healthcare analytics and marketing data science skills creates a specialized niche with limited talent pool.

Important Skills

Critical Skills

Marketing Analytics: Essential for driving growth decisions and optimizing campaign performance Python/SQL: Core to building scalable analytics infrastructure Statistical Modeling: Crucial for attribution modeling and experiment design Business Communication: Key for influencing strategic decisions

Beneficial Skills

Machine Learning: Growing importance for advanced segmentation and prediction models Marketing Channel Expertise: Valuable for understanding performance metrics and optimization opportunities Data Visualization: Important for stakeholder communication and dashboard development

Unique Aspects

Rare combination of profitable growth and startup dynamics without VC pressure
Direct involvement in strategic decision-making processes
Comprehensive benefits package exceeding typical startup offerings
Strong focus on sustainable growth rather than pure scale

Career Growth

2-3 years potential progression to team lead or management role, given company's growth trajectory and role visibility

Potential Next Roles

Head of Marketing Analytics Director of Growth Analytics/Data Science Manager Senior Data Scientist - Growth

Company Overview

Mochi Health

Mochi Health is a growth-stage telehealth company focused on weight management, operating with profitability and without VC constraints. This suggests strong unit economics and sustainable business model.

Emerging player in the competitive telehealth space, with focus on sustainable growth rather than pure scale.
Headquartered in San Francisco with potential for market expansion, suggesting opportunity for role growth and impact.
Fast-paced, results-oriented environment with strong emphasis on work-life balance and employee wellbeing, as evidenced by comprehensive benefits package and wellness focus.
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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.