Facet · 3 weeks ago
Lead Data Scientist
Facet is a fully remote financial technology company focused on delivering personalized financial advice. As a Lead Data Scientist, you will enhance analytics and predictive capabilities through research and data modeling, while collaborating with the Data Science & Analytics team to support various growth and retention initiatives.
AdviceFinanceFinancial ServicesWealth Management
Responsibilities
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
Qualification
Required
Experience in data analysis, visualization, and predictive model development
Ability to produce analysis reports and diagnostic models
Experience in ensuring code quality through reviews
Skills in data engineering, including gathering, cleaning, and preprocessing data
Experience with feature engineering to improve dataset quality
Ability to deploy data pipelines on cloud-based infrastructure
Experience in developing, validating, and deploying predictive models using machine learning algorithms
Knowledge of statistical techniques such as regression, classification, clustering, time series forecasting, and optimization
Ability to use open source and paid technologies for generative modeling
Commitment to continuous improvement and staying updated with developments in data science and machine learning
Company
Facet
Facet provides financial planning and advice tailored to individual needs and goals.
Funding
Current Stage
Growth StageTotal Funding
$193MKey Investors
Multiplier CapitalDurable Capital PartnersWarburg Pincus
2024-10-08Series Unknown· $10M
2024-10-08Debt Financing· $25M
2021-12-27Series C· $100M
Recent News
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2025-04-17
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