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

The U.S. base salary range for this full-time position is $164,500 - $239,800 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits.

System1 offers flexible work arrangements for most employees (unless they hold positions which are identified as having to be 100% onsite in Marina del Rey, CA, Bellevue, WA or Guelph, ON Canada). Most System1 full-time employees choose to work in a hybrid environment, splitting their time between working in our offices and working remotely. System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia. Prospective U.S. employees who live outside of any of these states will need to establish residency in one of the approved states prior to employment.