We are seeking a highly skilled and experienced Lead Data Scientist to join our growing Data Analytics team. This person must have a strong background in data analysis and be able to effectively communicate complex analytical findings to both technical and non-technical audiences, focusing on our highly profitable Search Engine Monetization business. This role requires a strong background in exploratory data analytics, statistics, data modeling as well as excellent communication and leadership skills.
The Role You Will Have
- Serve as a subject matter expert to both the Analytics team and business leaders, providing sound & data-driven strategies that help meet or exceed business goals
- Develop and create models in production (classification, clustering, learning models, multivariate regression, time series, k-means, etc.) to identify the best business solution
- Use Python and packages like Pandas, NumPy, etc., to perform complex statistical analysis on results, and utilize APIs for data ingestion
- Use SQL to self-serve data from disparate sources & manipulate multiple large data sets simultaneously for analysis
- Perform complex exploratory analysis on historical search engine marketing campaign data - including keyword performance, ad spend, and conversions - and identify opportunities for new expansion & data acquisition
- Collaborate with teams in Taxonomy & Performance Marketing to proactively identify keyword trends & develop data-driven optimization strategies
- Use tools like Tableau, Looker, or PowerBI to visualize results and present directly to business leaders
- Provide mentorship & training to junior analysts and new hires, and evangelize ways to implement better data-driven practices throughout the organization
- Stay up-to-date with industry trends and best practices in search engine marketing and data analysis
- Bachelor's or Master's degree in a related field (e.g. Computer Science, Statistics, Applied Mathematics, Data Science)
- 7+ years of progressive experience in data analysis/data science and handling of large data sets
- Strong experience with mathematical optimization methods, exploratory data analysis, predictive modeling and machine learning techniques
- Advanced proficiency in SQL
- Strong proficiency in Python & its data science packages (Pandas, NumPy, MatPlotLib, Seaborn, etc.)
- Familiarity with digital marketing KPIs including CPA, CPC, CPM and ROAS
- Experience with big data technologies (e.g. AWS, Snowflake, Hadoop, Spark, BigQuery)
- Experience with data visualization tools (e.g. Tableau, Power BI), as well as surfacing insights with interactive notebooks (e.g Jupyter, Google Colab)
- Familiarity with pulling data from third party API’s and basic ETL processing
- Excellent communication, and experience in providing leadership within your team (code-review or pair-programming, interviewing & onboarding new hires, etc.)
- Competitive salary + bonus + equity
- Generous PTO + 11 company holidays
- Open sick time
- 100% covered Medical, Dental, Vision for employees
- 401k with match
- Health & Dependent Care Flex Spending Account
- Paid professional development
- Leadership & growth opportunities
- Virtual company and team building events
- #BI-Hybrid
- #BI-Remote
- #LI-Remote
- #LI-Hybrid
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