Facet

Facet

Facet provides unbiased, personalized, and affordable financial planning services for every facet of life. Their certified financial planners offer advice on financial planning, retirement planning, investing, and more. From starting a business to buyi...

Capital Markets
251-1K
$58M raised

Description

  • Produce analysis reports and diagnostic models to uncover relationships and patterns in business data and metrics.
  • Develop, validate, and deploy predictive models using statistical and machine learning techniques.
  • Gather, clean, preprocess, and engineer data from multiple sources to improve dataset quality and usefulness.
  • Build and deploy end-to-end data pipelines on cloud-based infrastructure.
  • Work with teammates and stakeholders to communicate insights and support decision-making.
  • Create and maintain visualizations and reporting outputs that clearly explain historical and predictive findings.
  • Review code for correctness, bias, readability, and maintainability.
  • Contribute to generative modeling efforts using open-source and paid technologies.
  • Stay current on developments in data science, machine learning, and reporting technologies and apply them when appropriate.
  • Participate in knowledge-sharing sessions to support team growth and development.

Requirements

  • 6+ years of experience in a data science or machine learning role.
  • Experience with business efficiency metrics such as CAC, RAC, retention, margin, ARR, LTV, and engagement.
  • Experience with at least one dashboarding tool such as Tableau, Power BI, Looker, Google Data Studio, Streamlit, or Dash.
  • Proficiency in Python.
  • Proficiency in SQL.
  • Knowledge of predictive modeling techniques including regression, classification, clustering, time series analysis, and optimization.
  • Proficiency with end-to-end pipelines.
  • Expert knowledge of model evaluation metrics.
  • Experience pulling data from third-party systems and APIs.
  • Proficiency with version control.
  • Proven ability to work independently and as part of a team.
  • Proficiency with data visualization in Python.
  • Familiarity with best practices in secure data handling and customer data privacy.
  • Prior experience in the financial planning industry is preferred.
  • Prior experience in the consumer technology industry is preferred.
  • Prior experience using containers to produce repeatable and shareable code is preferred.
  • Prior experience with Natural Language Processing is preferred.
  • Prior experience with cloud deployment is preferred.
  • Prior experience with Neural Networks and/or LLMs is preferred.

Benefits

  • $170,000 to $200,000 base salary plus bonus, based on experience, knowledge, skills, and abilities.
  • Equity.
  • Flexible PTO.
  • Medical, dental, and vision insurance.
  • 401(k) with employer match.
  • Short- and long-term disability coverage paid by Facet.
  • Life insurance options.
  • Paid parental leave.
  • Certification reimbursement program.
  • Work from anywhere in the US.

Interested in this position?

Apply directly on the company website

Apply Now

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