Lead Data Scientist

🕒 Dezembro 23, 2025

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Facet

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2016

Acreditamos que o planejamento financeiro, quando bem feito, é essencial para viver bem. É por isso que criamos a Facet. Nossa missão é melhorar a vida de milhões de americanos oferecendo conselhos e serviços financeiros imparciais e inestimáveis a um valor acessível de associação. Divulgações: https://facetwealth.com/legal-documents/social-media-disclosure/

Descrição

• Exposing Insights: As a Data Scientist, your goal is not to just display data, but turn it into information. You will produce analysis reports and diagnostic models to try and discover hidden relationships and patterns between our data and metrics of interest. • Evaluate & Produce Quality: Good code is reviewed code. You will be involved in ensuring your and your teammates’ code is free from errors, bias, and is easy to understand. • Data Engineering: We are a newer team at a growing company, and you’ll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Perform feature engineering to generate new variables or transform existing ones to improve the quality and usefulness of the dataset. Tie all these tasks together in a pipeline and deploy on cloud based infrastructure. • Predictive Modeling: Develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques, such as regression, classification, clustering, time series forecasting, and optimization. • Generative Modeling: Use a combination of open source and paid technologies to produce abstractions & novel features for other applications. • Continuous Improvement: Data Science is a quickly moving field and you’ll need to keep up to date. You will need to keep abreast of the latest developments in data science, machine learning, and reporting technologies, while incorporating them into your work when appropriate. Participate in knowledge-sharing sessions to contribute to the growth and development of others.

🎯 Requisitos

• 6+ years of experience in a data science or machine learning role • Experience with business efficiency metrics, such as: Customer Acquisition Cost (CAC), Revenue Acquisition Cost (RAC), Retention, Margin, Annual Recurring Revenue (ARR), Lifetime Value (LTV), and Engagement. • Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit, Dash, etc… • Proficiency with Python • Proficiency with SQL • Knowledge of machine learning algorithms and statistical techniques for predictive modeling, such as: Regression, Classification, Clustering, Time Series Analysis, and Optimization • Proficiency with end-to-end pipelines • Expert knowledge in model evaluation metrics • Experience pulling data from various third party systems and APIs • Proficiency with version control • Proven ability to work both independently and as part of a team • Proficiency with visualization in python • Familiar with best practices in secure data handling and customer data privacy • **Preferred Qualifications:** • Prior experience in the financial planning industry • Prior experience in the consumer technology industry • Prior experience using containers to produce repeatable and shareable code • Prior experience with Natural Language Processing • Prior experience with cloud deployment • Prior experience with Neural Networks and/or LLMs

🏖️ Benefícios

• $170,000 - $200,000 base salary + bonus determined by the experience, knowledge, skills, and abilities of the applicant - Please note, our salary ranges are based on current market data. Should you feel strongly that we are not in line, we highly recommend you to reach out and let us know. We are always looking to improve on building the best place for employees. • Equity • Flexible PTO • All the benefits: medical, dental, and vision insurance, 401(k) with employer match, short and long term disability coverage (paid by Facet), life insurance options and paid parental leave • Certification reimbursement program • Work from anywhere in the US