Lead Data Scientist

4 days ago

Apply Now

Receive Emails with Similar Jobs

Facet

WebsiteLinkedInAll Job Openings

Financial Planning • CFP • Investing • Community • Financial Wellness

201 - 500

Description

•As a Lead Data Scientist at Facet, you will push the limits of our analytics and predictive capabilities through research, experimentation, and data modeling techniques. •You will join the Data Science & Analytics team within Facet tasked with modeling, understanding, and automating various aspects of our growth, margin, and retention initiatives in addition to product features. •You will work with your teammates and stakeholders on both displaying the truth of the past, while doing your best to predict the unknown. •You should be comfortable with communication, visualization, automation, software engineering, and reproducibility. •This role is intended to wear many hats, but with a skew towards advanced & predictive analytics. •You will also be involved with some reporting, data modeling, and visualization requirements. •The perfect candidate loves being both a great analyst and scientist, and hungers to improve at both. •Your core duties will consist of: •Exposing Insights: Your goal is not to just display data, but turn it into information. •Evaluate & Produce Quality: Good code is reviewed code. •Data Engineering: Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. •Predictive Modeling: Develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques. •Generative Modeling: Use a combination of open source and paid technologies to produce abstractions & novel features for other applications. •Continuous Improvement: Keep abreast of the latest developments in data science, machine learning, and reporting technologies, while incorporating them into your work when appropriate.

Requirements

•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

Benefits

•$170,000 - $195,000 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 •Unlimited 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