Senior Data Scientist / Analyst

Nimble is a healthtech company on a mission to simplify access, understanding and management of healthcare. We are starting by building the largest, most loved pharmacy business in the world. We are a fast-growing, technology-first startup driven by perfecting the patient and pharmacist experience. Nimble fosters a culture of collaboration, open communication and deliberate action that allows us to face today’s most exciting challenges head-on and grow incredibly quickly.

As a Senior Data Scientist / Analyst, you will be a core driver for initiatives spanning across the company, using data to influence business and product decisions. You will combine analytical rigor with statistical modeling and machine learning expertise to understand what is happening, why, and what your team can do about it. As a resident data expert, you will empower teams to make data-driven decisions through insightful analyses, predictive modeling, and clear communication of complex findings.

You will:

• Drive key business and product initiatives through actionable insights and predictive modeling
• Develop and deploy statistical and machine learning models to solve business problems
• Communicate complex findings through clear storytelling for both technical and non-technical audiences
• Design and optimize data structures (events, tables, pipelines) that are efficient, logical, and forward-thinking in collaboration with data engineering
• Contribute to sustainable, scalable processes and best practices for data usage across the company
• Coach data scientists / analysts
  
  
  
  

What you bring:

• Bachelor or higher degree in STEM (science, technology, engineering, mathematics / statistics), or similar fields
• 5 years of experience in data science, data analytics, or a related quantitative role
• Proficiency in SQL for data analysis, cleaning, and enrichment
• Proficient in other languages/tools (i.e. R, Python, Excel, etc.)
• Strong grasp of statistical concepts and experimental design (A/B testing, regression, hypothesis testing)
• Expertise in Python or R for statistical analysis and modeling techniques, (i.e. feature engineering, classification, clustering, model evaluation, etc)
• Proven track record of utilizing analyses and modeling solutions to drive business/product initiatives
• Excellent communication skills for both technical and non-technical collaboration
• A strong foundation in prioritization and problem-solving
  
  
  
  

About you:

• You feel a strong sense of ownership over your work
• You have urgency and intensity towards concrete outcomes
• You value coaching and seek to improve your teammates and yourself
• You have conviction in your decisions, but are ready and willing to listen to diverse perspectives
  
  
  
  

What's in it for you:

• Compassionate and driven colleagues in a fun environment where success is celebrated
• Direct access to executives and a transparent company culture
• Rare opportunity to change an industry and lives of millions
• We are reinventing healthcare / pharmacy - your (grand)parents and your (grand)children will understand and appreciate what you do
• Medical / Dental / Vision / 401K package that fits your needs
• Generous Vacation Policy - 15 days of paid vacation in the first year, then increases to 20 days after one year
• 11 Paid Holidays
• Work out of our HQ in beautiful downtown Redwood City
  
  
  
  

At Nimble, we are dedicated to putting patients first and improving pharmacies across America. Join us on this exciting journey!

Diversity, inclusion and belonging at Nimble: Nimble is building a diverse and inclusive work environment where we learn from each other. We pride ourselves on being an equal opportunity employer and welcome people of diverse backgrounds, abilities and perspectives.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.