We are looking for a passionate certifiedData 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
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 (link)
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