As Lead Data Scientist, you will plan, manage, and execute on projects that leverage large volumes of data across many sources. With the support of a small team, you will help accelerate our progress across projects spanning predictive analytics, data mining, and web data scraping/aggregation. You will leverage cutting-edge machine learning, AI, and natural language processing techniques to support important product and content decisions and accelerate the growth of our subscription business. Given the flat structure of our team, you will have the ability to make a significant impact from day one and make important decisions that influence millions of users.
- Minimum Qualification: Degree
- Experience Level: Senior level
- Experience Length: 6 years
In this role, you will strike a balance between acting as a team lead/manager of a small team and working as a senior-level individual contributor on our most challenging data projects. You will also have the opportunity to work closely with senior leadership, including our VP of Operations and CEO. Your primary responsibilities within each functional area are:
Data Collection and Analysis:
Oversee the collection, organization, and aggregation of large data sets across dozens of internal and external data sources.
Build expert knowledge of all data sources in order to answer questions and support projects across the organization
Own the ETL process across the company: cleaning, structuring, enriching data; building cloud-based data lakes/warehouses leveraging modern best practices
Continuously monitor data quality and ensure data integrity and accuracy
Predictive Analytics and Machine Learning:
Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new processes and improve the performance of our business
Build, evaluate and optimize models which incorporate machine learning and artificial intelligence
Enable migration to new cloud-based ML stack: data, model and deployment
Stay up-to-date with the latest trends, techniques, and software in data science and data analysis
Team Management and Collaboration:
Define the company’s “data science roadmap,” setting quarterly priorities that align with our overall vision and business objectives
Manage a team that includes a data scientist, scraping experts, and multiple data collection/research team members
Define all team project requirements and host weekly “team syncs” to establish task deadlines, monitor progress, and evaluate results
Identify and report on relevant team KPIs, and report progress across projects to senior leadership on both a monthly and quarterly basis
Collaborate with internal and external stakeholders across our Product, Content, and Operations teams to understand business goals and launch new data projects
Partner with Engineering team to transition development projects to production systems
Develop thorough documentation for all data science sources and projects
Business Intelligence and Reporting:
Use data visualization tools (Tableau, Metabase etc.) to manipulate and translate raw data into useful reports and dashboards
Surface key insights and trends across data sources that can help support business decisions
6-8+ years of experience in advanced data science and analytics roles, preferably in high-growth, dynamic environments (with 3+ years of in-depth predictive modeling/forecasting experience)
Extensive experience with cloud-based data collection, management, and automation (data scraping, ETL, data warehouses/lakes, etc.)
Hands-on experience with advanced methods in machine learning, data mining, statistics, optimization, classification, forecasting and/or NLP
Advanced experience with database languages (e.g. SQL) and statistical programming languages (e.g. Python, R, etc.)
Experience visualizing, synthesizing, and presenting complex data for stakeholders using tools like Metabase, Tableau, etc.
Excellent problem-solving skills and ability to identify opportunities to leverage AI, innovative software, and automation solutions
Strong past experience with data project management, team management, delegation, and cross-functional communication
Strong attention to detail and ability to manage/oversee multiple projects simultaneously
Bachelor's degree in Computer Science, Data Science, Mathematics or similar quantitative field
Prior experience working in a lean, small company/startup environment is a plus, as well as prior exposure to businesses in similar or related fields (EdTech, consumer subscription/e-commerce , SaaS, books/media, etc.)
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