Pura

Staff Data Scientist

Pura$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data science or a related field
  • Expert SQL and Python proficiency
  • Strong background in causal inference statistics
  • Experience with A/B testing frameworks and experimental design
  • Experience with cloud data warehouses (BigQuery)
  • Experience building batch-style inference workflows
  • Experience with containerization and Infrastructure as Code
  • Track record of leveraging LLMs for data insights
  • Strong analytical and problem-solving skills
  • Ability to work independently and collaboratively across teams.

Responsibilities

  • Build and maintain predictive models for products and business intelligence.
  • Prototype and create production-ready models for integration into software systems.
  • Transform open-ended business questions into analyses, models, and experiments.
  • Drive data science projects from data acquisition to model delivery.
  • Ensure high data quality and integrity throughout the process.
  • Communicate technical concepts clearly to diverse stakeholders.
  • Work collaboratively in cross-functional team settings.

Benefits

  • Opportunity to lead complex data initiatives
  • Creation of real impact through data-driven decision-making
  • Collaborative work environment across functions
  • Focus on data quality and integrity in projects
  • Access to cutting-edge technologies like LLMs and cloud-based solutions.
Full Job Description
Staff Data Scientist

Your Role at Pura:

As a Staff Data Scientist, you will play a critical role in building and maintaining predictive models to power Pura's product, business intelligence, and decision-making. You will be responsible for prototyping and then building production-ready models that can be integrated into Pura's software systems.

The ideal candidate is passionate about leading complex data science initiatives when faced with ambiguous problems. They can take open-ended business questions and turn them into well-defined analyses, models, and experimentation plans that deliver real impact. They also drive projects end to end - from data acquisition and validation through feature engineering and the development of reusable data assets - all while maintaining high standards for data quality and integrity. Strong communication skills are essential to explain technical concepts clearly to stakeholders at all levels.

Qualifications:
  • 5+ years of experience in data science or a related field
  • Expert SQL and Python proficiency
  • Strong background in causal inference statistics
  • Experience with A/B testing frameworks and experimental design
  • Experience with cloud data warehouses (we use BigQuery)
  • Experience building batch-style inference workflows
  • Experience with containerization and Infrastructure as Code
  • Track record of leveraging LLMs to streamline exploration, iteration, and communication of data-driven insights
  • Strong analytical and problem-solving skills with attention to data quality and reliability
  • Demonstrated ability to work both independently and collaboratively across cross-functional teams

Nice to Have:
  • Experience with real-time or near-real-time inference systems
  • Familiarity with streaming data processing technologies (e.g., Apache Kafka)
  • Experience applying data science to molecular or chemical data

About Pura

Pura is a consumer goods company that specializes in the production of high-quality, all-natural, and organic products. The company's product line includes a range of beverages, snacks, and supplements that are designed to promote health and wellness. Pura's products are made from the finest ingredients and are free from artificial preservatives, colors, and flavors. The company is committed to sustainability and uses eco-friendly packaging materials. Pura's mission is to provide consumers with healthy and delicious products that support a healthy lifestyle.
Learn more about Pura
Size
10 employees
Industry
Founded
2018
5 Year Trend
+5%
Revenue
$500,000
NASDAQ

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