Juul Labs

Data Scientist

Juul Labs

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $185,000 - $227,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AirflowBigQueryCloudDockerGoogle Cloud PlatformPandasPythonSQLTableau

About the role

  • Comfortable being in a hybrid role, working between the business, other data scientists, and data engineers to reveal what trends and KPIs matter. You will primarily focus on advancing conviction in decision making throughout Juul Labs
  • Design robust, reusable and scalable data solutions and data mining frameworks to automate analysis. We largely use DBT, BigQuery, Hex, Vertex AI, and Tableau today – however are open to adapt
  • Build models to analyze various datasets across the organization, largely leveraging our vast commercial sales and execution data
  • Partner and collaborate with Data Engineers in active development of large-scale engineering projects across the entire lifecycle of Data from source, ingestion, modeling, and mining
  • Work in an agile environment using Trello
  • Develop new systems and tools to enable stakeholders to consume and understand data more intuitively
  • Create and establish design standards and assurance processes to ensure compatibility and operability of data connections, flows and storage requirements
  • Keep JUUL Labs on the cutting edge of data technology
  • Perform related duties as assigned, within your scope of practice

Requirements

  • 5+ years of data science experience
  • Experience translating complex analytical findings into clear business recommendations
  • Experience independently driving data science and engineering solutions
  • Advanced knowledge in using Python and SQL for data analysis over large-scale datasets
  • Skilled using python libraries and packages (Pandas, Polars, PyArrow) in conjunction with the Google Cloud Platform (BigQuery)
  • Comfortable working on AI pipelines (Vertex AI)
  • Knowledge of bash/shell and orchestration tools (e.g. Airflow), is preferred
  • Experience with version control (Git) and containers (Docker)
  • Skilled in analytical SQL in support of data modeling/ transformations and manipulating multiple data formats (dbt)
  • Foundational expertise of deploying and maintaining machine learning pipelines is a plus
Benefits
  • A place to grow your career. We’ll help you set big goals - and exceed them
  • People. Work with talented, committed and supportive teammates
  • Equity and performance bonuses. Every employee is a stakeholder in our success
  • Cell phone subsidy, commuter benefits and discounts on JUUL products
  • Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits
  • 401(k) plan with company matching
  • Plus biannual discretionary performance bonuses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencedata analysisPythonSQLdata modelingmachine learningdata mininganalytical SQLbashorchestration tools
Soft skills
collaborationcommunicationdecision makingproblem solvingadaptabilityindependencecreativityorganizational skillsstakeholder engagementagile methodology