Published: Thu, 31 Oct 2024 04:50:23 GMT
Position: Lead Data Scientist
Company: Facet
Location: Remote (US)
Salary: $170,000 – $195,000 base salary + bonus
Benefits: Equity, Unlimited PTO, Medical, Dental, and Vision Insurance, 401(k) with Employer Match, Short and Long Term Disability Coverage, Life Insurance Options, Paid Parental Leave, Certification Reimbursement Program
About Facet:
Facet is a rapidly growing financial services company that is revolutionizing the way financial planning is done. We are driven by a human-centric approach and are dedicated to providing financial advice to the millions of underserved individuals in the US. We are looking for exceptional talent to join our team and help us achieve our mission.
Role Overview:
As a Lead Data Scientist at Facet, you will have the opportunity to push the boundaries of our analytics and predictive capabilities through research, experimentation, and data modeling techniques. You will be a part of our Data Science & Analytics team, working on various projects related to growth, margin, retention, and product features. This role requires a strong background in communication, visualization, automation, software engineering, and reproducibility, and will involve a mix of reporting, data modeling, and visualization tasks.
Key Responsibilities:
– Exposing Insights: Your main objective as a Data Scientist will be to turn data into valuable information. You will produce analysis reports and diagnostic models to uncover hidden relationships and patterns within our data and metrics.
– Evaluate & Produce Quality: In this role, you will ensure that your code and that of your teammates is error-free, unbiased, and easy to understand.
– Data Engineering: As a newer team in a growing company, you will need to be comfortable with data engineering. This will involve gathering, cleaning, and preprocessing data from various sources, as well as performing feature engineering to improve the quality and usefulness of the dataset. You will also be responsible for tying all these tasks together in a pipeline and deploying them on cloud-based infrastructure.
– Predictive Modeling: You will 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: Using a combination of open source and paid technologies, you will produce abstractions and novel features for other applications.
– Continuous Improvement: To excel in this role, you will need to stay up-to-date with the latest developments in data science, machine learning, and reporting technologies. You will also participate in knowledge-sharing sessions to contribute to the growth and development of others.
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 and 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
Qualifications and Benefits:
– Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
– $170,000 – $195,000 base salary + bonus (based on experience and skills)
– Equity in the company
– Unlimited 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
– Remote work from anywhere in the US
We are committed to building an inclusive workplace and encourage people from all backgrounds to apply. If you feel that our salary range does not align with market standards, we encourage you to reach out and let us know. We are always looking for ways to improve and create the best work environment for our employees. Apply link
