Remote Lead Data Scientist

Description:

• As a Lead Data Scientist at Facet, you will enhance our analytics and predictive capabilities through research, experimentation, and data modeling techniques.
• You will be part of the Data Science & Analytics team, focusing on modeling, understanding, and automating growth, margin, and retention initiatives, as well as product features.
• Your role will involve collaborating with teammates and stakeholders to analyze past data and predict future trends.
• You should possess strong skills in communication, visualization, automation, software engineering, and reproducibility.
• The position requires a balance of analytical and scientific skills, with a strong emphasis on advanced and predictive analytics.
• Daily responsibilities will include data analysis, visualization, and predictive model development.
• You will produce analysis reports and diagnostic models to uncover hidden relationships and patterns in data.
• You will ensure the quality of code through reviews and maintain clarity and error-free coding practices.
• Data engineering tasks will involve gathering, cleaning, and preprocessing data from various sources, performing feature engineering, and deploying pipelines on cloud infrastructure.
• You will develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques.
• The role includes using technologies to create abstractions and novel features for applications.
• Continuous improvement is essential, requiring you to stay updated on developments in data science and participate in knowledge-sharing sessions.

Requirements:

• You must have 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 is required.
• Proficiency in at least one dashboarding tool, such as Tableau, Power BI, Looker, Google Data Studio, Streamlit, or Dash, is necessary.
• You should be proficient in Python and SQL.
• Knowledge of machine learning algorithms and statistical techniques for predictive modeling, including Regression, Classification, Clustering, Time Series Analysis, and Optimization, is essential.
• You must have proficiency with end-to-end pipelines and expert knowledge in model evaluation metrics.
• Experience in pulling data from various third-party systems and APIs is required.
• Proficiency with version control is necessary.
• You should demonstrate the ability to work independently and as part of a team.
• Proficiency with visualization in Python is required.
• Familiarity with best practices in secure data handling and customer data privacy is essential.

Benefits:

• The position offers a base salary ranging from $170,000 to $195,000, plus a bonus based on the applicant's experience, knowledge, skills, and abilities.
• Employees will receive equity as part of their compensation package.
• Unlimited Paid Time Off (PTO) is provided.
• Comprehensive benefits include medical, dental, and vision insurance, a 401(k) plan with employer match, short and long-term disability coverage (paid by Facet), life insurance options, and paid parental leave.
• A certification reimbursement program is available to support professional development.
• Employees have the flexibility to work from anywhere in the US.