Lead Data Scientist, Data and Systems

About Pendulum

Pendulum® is leading a revolution that is occurring around the world to improve physical and mental health by first understanding, then restoring and enhancing the human microbiome. 

Studies have shown that our microbiome (the bacterial communities in and on our bodies) is linked to everything from metabolism and diabetes, to longevity, weight loss, healthy immune systems, cancer prevention, feelings of well-being, inflammatory bowel disease, and even healthy skin.  We have just scratched the surface on understanding the impact that our microbiome has on our lives. During early life we develop a diverse and balanced microbiome that plays a critical role in shaping our long-term health.  Over our lives, a combination of diet, lifestyle, antibiotics, and aging can decrease the effectiveness of our microbiome.

Pendulum recognized the enormous impact they could have on people’s lives if they were able to address the imbalances in the microbiome. To accomplish this, Pendulum created proprietary probiotic pipelines and a unique discovery platform to identify key, novel bacterial strains and the prebiotics that feed them. The company has also built and developed the world’s first manufacturing technology to produce bacteria in an anaerobic (oxygen-free) environment at scale.

The medical probiotics that Pendulum has formulated have transformed the consumer probiotics market into a new category of therapeutic offerings that deliver the power and efficacy of a pharmaceutical with the safety and accessibility of a natural probiotic. Due to Pendulum’s explosive revenue and customer growth over the last two years, the company  earned a spot on Forbes Magazine’s exclusive “The Next Billion Dollar Startups” list.

If you’re interested in improving the lives of people globally and you love working in a cross-functional, collaborative, inspiring environment, please continue reading.

Position Summary:

We are seeking a Lead Data Scientist with deep experience in Marketing to transform data into actionable insights and algorithms that drive key decisions. This role requires expertise in advanced analytics and machine learning within a consumer business. You will develop predictive models, optimize marketing strategies, and collaborate with Sales, Marketing, and Data teams in a fast-paced environment.

• Collaborate with Sales and Marketing to understand business objectives, frame problems, and develop models and frameworks 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.

• Foster a deep understanding of business fundamentals, proactively addressing future trends and data needs to support growth and innovation.

• 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; familiar 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.

• Familiarity with AWS, Docker, ECS, Snowflake, DBT, Fivetran, Airflow a plus. 

• $170,000-$225,000
• Medical, Dental, and Vision
• Commuter Benefits
• Life & STD Insurance
• Company match on 401 (k)
• Flexible Time Off (FTO)
• Equity

Salary : $170,000 - $225,000