Data Scientist
PreludeSys - sunnyvale, CA
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DESCRIPTIONCore responsibilities cover three pillars:DIGITAL ANALYTICS: Lead a select number of strategic analyses to provide teams and leaders with actionable insights regarding opportunities to improve traffic, engagement, and conversion. Turn optimization hypotheses into AB test proposals. Partner with Marcom Producers, Creatives, and Developers to determine the AB test population, user experience, KPIs, and runtime requirements.EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations. Work closely with the AB Test Platform Engineering Team to ensure the analytics implementation suits our needs.RESEARCH & DEVELOPMENT: Partner with Data Scientists across Marcom, Retail, and Operations to increase the sophistication of our experimentation program and deliver deeper insights about marketing performance.EDUCATION & EXPERIENCE: Bachelor's degree with quantitative emphasis. Statistics, Data Science, Mathematics, Operations Research, Computer Science, Marketing Analytics, or related field. Master's Degree desirable. Minimum 3-5 years of relevant industry experience.Key points:The candidate should have minimum of 8 years of experience. Hands on.Being based in the Bay Area is a plus but not mandatory.Regular office visits (about once a week) significantly increase the likelihood of a long-term engagement.Experience as a Data Scientist in Production Systems (rather than Product Engineering) is beneficial.The ideal candidate is a business-facing consultant with in-depth experience in:Identifying testing opportunities.Creating hypotheses.Analyzing user behavior, data, and extracts.Generating business fluencing business decisions based on data-driven inferencesRoles & Responsibilities :ESSENTIAL QUALIFICATIONSExpertise in experimentation and statistical hypothesis testing (e.g., determining sample sizespower analysis, applying statistical tests, confidence intervals).Strong communication and presentation abilities, with the skill to convey analyses to a wide range of stakeholders, including data scientists, creatives, and marketing leaders.Extensive experience in digital analytics, with the capability to extract insights from diverse quantitative and qualitative data sources.Proficiency in data querying (SQL) and familiarity with scripting languages such as Python or R.Excellent time management skills, with the ability to oversee multiple AB testing projects in various stages of development.A team-oriented mindset, with a preference for collaborative work. Highly advantageous:Experience in advanced statistics, econometrics, or causal inference.Familiarity with predictive analytics and machine learning algorithms, such as regression, decision trees, clustering, and neural networks.
Created: 2024-09-12