Job Description

We are looking for a passionate certified Data Analyst / Data Scientist . The successful candidate will turn data into information, information into insight and insight into business decisions.

KEY RESPONSIBILITIES

• Mine data and analytics at the customer level to gain a better understanding of their usage behaviors, including impacts of current marketing strategies.
• Utilize non-individual level measurement methods when applicable, like market-level testing, to help understand the impact of marketing spend and the related return it can drive.
• Use sophisticated modeling techniques such as causal inference to undercover insights related to user behavior.
• Collaborate closely with Applied Sciences to understand the ins and outs of various machine learning models, as well as help, understand their performance and areas of improvement.
• Work closely with the paid and CRM marketing teams and be responsible for campaign pre and post-analysis, cohorting, experiment design, segmentation, KPI measurement, and more.
• Collaborate on cross-functional project planning/prioritization meetings, business partner meetings, data prioritization meetings, etc.
• Choose the accurate metrics for tracking and understanding current and future experiments.
• Implement and analyze A/B or Multivariate Tests to provide measurable insights to the marketing team on the test data.
• Present findings to senior management to drive business and marketing decisions.
• Develop dashboards that provide reliable insights and visualization.

QUALIFICATIONS

• Marketing/product data science or consulting experience
• Bachelor\xe2\x80\x99s degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)
• M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields - a minimum of 1+ years of industry experience required
• Must be from digital agency background
• Paid Media experience (ie. Programmatic, Facebook, Paid Search, Youtube, Audio, etc)
• Advanced experimentation experience including multivariate and causal analysis
• AdTech experience is a plus
• Understanding of econometric modeling and how to apply models to measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM)
• Solid understanding of source data, its strengths, weaknesses, semantics, and formats
• Solid knowledge of logical and physical data modeling concepts (relational and dimensional)
• Advanced SQL expertise
• Basic understanding of experimental design (such as A/B experiments) and statistical methods
• Ability and experience in extracting insights from data, and summarizing learnings / takeaways
• Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

ENJOY THESE BENEFITS

• Full-time remote work setting
• Paid Time Off (30 days annually)
• Observance of public holidays
• Internet Allowance
• Health and Wellness Allowance
• Technology Benefit
• Maternity and Paternity Benefit
• Loyalty Rewards
• A library of internal resources and training
• Performance-based Incentives and Bonuses
• Bi-annual all-expenses-paid company workation
• Outcome-focused Environment
• Hear what our employees say about working with us (

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