Senior Marketing Analytics Lead
6 days ago
Pendulum is leading a global movement to improve physical and mental health by first understanding, then restoring and enhancing the human microbiome. Our research has revealed that the microbiome plays a critical role in various aspects of our well-being, from metabolism and diabetes to longevity, weight loss, and cancer prevention.
We have developed proprietary probiotic pipelines and a unique discovery platform to identify key bacterial strains and prebiotics. Our manufacturing technology allows us to produce bacteria at scale, creating a new category of therapeutic offerings in the consumer probiotics market.
Position Summary:
We are seeking a Lead Data Scientist with expertise in Marketing to drive business decisions using data-driven insights. This role requires advanced analytics and machine learning skills within a consumer business context.
You will develop predictive models, optimize marketing strategies, and collaborate with Sales, Marketing, and Data teams in a fast-paced environment.
Key Responsibilities:
- Collaborate with cross-functional teams to understand business objectives, frame problems, and develop models to solve them.
- Lead data science initiatives to enhance acquisition algorithms, channel optimization, and retention solutions.
- Build and scale experimentation frameworks, driving insights through A/B testing for acquisition, retention, and engagement strategies.
- Develop customer acquisition and retention KPIs, leveraging cohort data to track LTV, CAC, churn, and performance across sales channels.
- Utilize data to guide strategic marketing decisions, including budget allocation, targeting strategies, and ad personalization.
- Drive actionable insights by analyzing patterns and trends across commercial and customer data, delivering clear and impactful presentations to stakeholders.
- Prioritize key data science initiatives that deliver high impact, focusing on growth, personalization, and maximizing customer lifetime value.
- Lead efforts to integrate foundational technologies that support real-time data analysis and continuous experimentation.
Knowledge Requirements:
- MSc/PhD in Data Science, Statistics, Physics, Computer Science, or a related field.
- 5+ years of experience in data science or advanced analytics, in consumer industries.
- Expertise in Python, SQL, Pandas, SparkSQL; familiarity with data warehouses like Snowflake, BigQuery, or Redshift.
- Solid background in statistical analysis, including hypothesis testing and causal inference.
- Experience with marketing analytics, including segmentation, LTV, CAC, retention, and familiarity with web analytics tools like Google Analytics or Heap.
- Strong expertise in machine learning (predictive modeling, clustering, regression) and experience in deploying models to production.
- Experience in building and maintaining data pipelines, ETL processes, and feature engineering.
- Proven ability to manage cross-functional projects and effectively communicate data insights to stakeholders.
- Strong business acumen in a consumer business with a subscription model and proven success in providing actionable data insights that enabled business growth.
- Ability to work in a fast-paced, dynamic environment where adaptability is imperative.
Estimated Salary Range: $170,000-$225,000 per annum.
Benefits:
- Medical, Dental, and Vision coverage.
- Commuter Benefits.
- Life & STD Insurance.
- Company match on 401(k).
- Flexible Time Off (FTO).
- Equity.
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