drjobs Product Data Scientist

Product Data Scientist

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Los Angeles, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About Passes:

Passes is a leading platform dedicated to empowering creators and fostering meaningful connections with their audiences. We are committed to providing innovative solutions that help creators grow and thrive in the digital landscape. Join us and be a part of a team that is shaping the future of the creator economy.

Position Overview:

Passes is seeking a dynamic and experienced Data Scientist to cover product analytics and applications of advanced ML models across the business. This individual will be responsible for conducting analyses that inform the strategy and roadmap of the companys product and business strategies. The ideal candidate will have an extensive background in data analysis analytics engineering forecasting and producing well designed machine learning models.

Key Responsibilities:

  1. Product Analysis
    1. Design metrics aligned with product goals create pipelines & dashboards to monitor them.
    2. Experimentation design and analysis of A/B or multivariate tests
    3. Conduct deep dive analyses and provide insights into the behavior of creators and their fans.
  2. Analytics Engineering
    1. Automate basic operational tasks
    2. Create ETL processes for data analysis.
    3. Design & maintain data models to facilitate reporting & analytics.
    4. Able to optimize data pipelines.
    5. Monitor the performance and status of data jobs proactively actioning potential issues.
  3. Applied Data Science
    • Experience designing high performance predictive models on tabular datasets
    • Analyze large datasets to identify trends patterns and insights that inform recommendation strategies.
    • Collaborate with product engineering and design teams to integrate recommendation systems into applications.
    • Plus Design implement and evaluate basic recommendation algorithms including collaborative filtering contentbased filtering and hybrid methods.

Qualifications:

  • 6 years of experience working in the data field.
  • Strong critical thinking and analytical skills paired with excellent verbal and written communication skills. Candidate should be able to communicate highly technical concepts with nontechnical stakeholders and write clear and concise documents for a variety of audiences.
  • Experience and desire to work in a fastpaced environment navigating ambiguity and achieving excellent outcomes.
  • Experience designing metrics analyzing product funnels A/B testing and creating & optimizing ML pipelines.
  • Bachelors degree in Computer Science Economics Statistics or a related field or equivalent work experience
  • Experience with common data warehouse technologies including Redshift Snowflake Big Query Athena Spark DBT.
  • Adept in various data visualization tools designing dashboards for a variety of audiences.
  • Basic to intermediate programming skills in Python or R.

Benefits:

  • Competitive salary and equity package.
  • Comprehensive health dental and vision insurance.
  • 401(k) plan.
  • Unlimited PTO.
  • Professional development opportunities and continuous learning support.
  • Flexible work environment with opportunities for remote work.
  • Passes is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.