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Juul Labs

Director of Data Science

Job Posted 12 Days Ago Posted 12 Days Ago
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Remote
Hiring Remotely in United States
215K-278K Annually
Senior level
Remote
Hiring Remotely in United States
215K-278K Annually
Senior level
Lead a team of Data Scientists to create scalable data solutions, collaborate with Data Engineers, and drive data analysis for Juul Labs.
The summary above was generated by AI

THE COMPANY:

Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.

We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details.

KEY RESPONSIBILITIES:

  • Lead analysis while managing and growing a team of 3+ Data Scientists, working collaboratively with Data Engineers
  • 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 work overwhelmingly to advance 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, Vertex AI, Tableau, and Notebooks 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
  • Design scalable solutions to cleaning and tagging data, preferably using AI technologies such as Vertex AI among others
  • 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

Our Data Stack:

  • Airflow, Pub/Sub, Cloud Run, Fivetran
  • Google Cloud Platform - GCP (BigQuery, Vertex AI, Storage, Dataflow, Pub/Sub, Cloud Run, Cloud Build)
  • DBT
  • Foundational.IO
  • Tableau, Mode, Notebooks

PERSONAL AND PROFESSIONAL QUALIFICATIONS:

  • 10-15 years of data science and managerial experience
  • Significant experience independently driving engineering and analysis solutions
  • Advanced knowledge in using Python and SQL for data analysis over large-scale datasets
  • Skilled using python libraries and packages (Pandas, 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
  • Foundational expertise of deploying and maintaining machine learning pipelines is a plus

EDUCATION:

  • Preferred Masters degree in Computer Science, Engineering, Math, or equivalent experience
  • Bachelor’s degree required

This is a duplicate posting of requisition R-100689, Sr. Manager, Data Science, please apply to whichever one best fits your background and experience

JUUL LABS PERKS & BENEFITS:

  • A place to grow your career. We’ll help you set big goals - and exceed them
  • 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

Juul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Juul Labs also complies with applicable employment eligibility verification requirements. All applicants must have the authorization to work for Juul Labs in the country of employment #LI-remote

SALARY RANGES:
Salary varies by role, level and location, and is dependent on the cost of labor in a given
geographic region among other factors. These ranges may be modified at any time.
LOCATIONS:
Tier 1 Locations: Greater New York City, and San Francisco Bay Area
Tier 2 Locations: Greater Boston, Washington DC Metropolitan Area, Seattle/Tacoma,
Greater Sacramento, Southern California (Los Angeles/OC/San Diego, Riverside and Imperial counties)
Tier 3 Locations: Rest of New England, NY Capital District, Rest of New Jersey, Greater
Philadelphia, Pittsburgh, Delaware, Rest of Maryland, Rest of Virginia, North Carolina,
Atlanta, Miami-Fort Lauderdale-WPB, Chicagoland, Dallas, Houston, Austin,
Minneapolis/St. Paul, Colorado, Phoenix, Reno, Las Vegas, Reno, Carson City NV., Portland Ore./Vancouver
Wash., Rest of California, Hawaii
Tier 4 Locations: Rest of US including Alaska and Puerto Rico

Tier 1 Range:

$215,000$278,000 USD

Tier 2 Range:

$196,000$253,000 USD

Tier 3 Range:

$184,000$238,000 USD

Tier 4 Range:

$169,000$218,000 USD

Top Skills

Airflow
BigQuery
Dbt
Docker
Git
Google Cloud Platform
Python
SQL
Tableau
Vertex Ai

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