Data Scientist Generalist Jobs

Pendulum® is on a mission to help people improve physical and mental health by creating a new category of products that target the microbiome. We are researching, developing and commercializing a novel class of rationally-designed Live Synbiotics™ (probiotics + prebiotics) that have demonstrated clinical efficacy to treat conditions like metabolic syndrome, inflammation and neurodegeneration.

Pendulum has created proprietary pipelines to build a unique discovery platform that identifies key, novel bacterial strains and the prebiotics that feed them.

We are a highly collaborative team of scientists, engineers, physicians, marketers and salespeople interested in improving human health by using the latest research from diverse fields, such as microbiology, molecular biology, high-throughput genomics, distributed computing, pharmaceutical development and nutrition. We believe strongly in an individual’s transparency and strong communication to enable the most effective and efficient path to team success.

If you’re interested in building a new category of products that will help improve the lives of people globally and you love working in a cross-functional, collaborative, inspiring environment, please continue reading!

We are seeking a passionate early-career or mid-career data scientist generalist with experience in working collaboratively with business teams. The ideal candidate will be able to develop, convey, and uphold key performance indicators, dashboards, and predictive models to drive fundamental business objectives. They should find joy in elucidating complex data and analytics concepts, effectively translating their meaning and implications to both technical and non-technical audiences. As an emerging technical leader, the ideal candidate will articulate and establish best practices within the organization, collaborating with engineering teams to align activities with overarching business objectives. In addition, the successful candidate should be enthusiastic about sharing knowledge and presenting to technical and business teams within the organization.

Responsibilities

• Work alongside the data engineering team to plan, implement, and organize user-facing analytics tools, such as dashboards, metrics, and predictive models
• Design, implement, and utilize suitable analytics techniques leveraging R or Python
• Critically evaluate and provide constructive feedback on analyses produced by analysts, data scientists, and engineers, promoting a culture of continuous improvement and learning
• Lead the design, analysis, and interpretation of A/B testing experiments
• Exhibit leadership in identifying and defining the necessary KPIs and metrics for tracking strategic execution
• Synthesize and highlight pivotal data-driven insights to the executive team to inform decision-making and promote improved outcomes
• Establish best practices in analytics, visualization guidelines, and standards, while mentoring junior analysts and data scientists across the organization
• Collaborate with business teams to craft and refine key performance indicators and visualizations that support data-informed decisions
• Liaise with engineering and technical teams to prioritize and set standards for data engineering initiatives
• Collaborate with business teams to demonstrate the significance of certain metrics based on data-driven insights, and educate them on why certain metrics may not be suitable

Requirements

• Proven experience in developing a vision, roadmap, datasets, and tooling in a nascent or evolving area
• Excellent oral and written communication skills, with the ability to simplify complex data to non-technical stakeholders
• Experience managing intricate, cross-functional projects and teams
• Experience leveraging customer analytics to drive user growth, manage retention/churn, inform attribution, and create LTV models
• Solid understanding of statistics fundamentals, exploratory data analysis, hypothesis testing, experimental design, and analysis
• An insatiably curious problem-solver, staying abreast of the latest techniques and proactively introducing innovative methods when appropriate
• Master’s or PhD in Statistics, Computer Science, or another quantitative field, or equivalent practical experience
• 3+ years of industry experience in Data Science and Analytics, exhibiting a progression of complexity and scope in responsibilities
• Familiarity working with modern cloud-based data stacks
• Knowledge of predictive modeling, forecasting, and sequential testing techniques
• Proficiency in Python, R, and SQL, with a minimum of 4 years of hands-on experience
• Demonstrable track record of fostering best practices and promoting excellence within an analytics team

Salary & Benefits

• Life & STD Insurance
• Medical, Dental, and Vision
• 125,000 to 200,000 (DOE)
• Commuter Benefits
• Flexible Time Off (FTO)
• Equity
• Company match on 401 (k)

Pendulum Therapeutics, Inc. is committed to creating a diverse environment and is proud to be an equal

opportunity employer. All qualified applicants will receive consideration for employment without regard to

race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics,

disability, age, or veteran status. We welcome all to apply.