Lead Data Scientist

Lead Data Scientist

This job is no longer open
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

What You Bring to the Team

    • 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.)

What We Have to Offer

    • 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
This job is no longer open
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