Data Scientist

Location: Los Angels, CA

Department: Analytics and Data Infrastructure

Type: Full Time

Min. Experience: Mid Level

Come party with a million people a day in celebrating important events in their lives! Evite, the world’s leading digital platform, is looking for passionate and creative Data Scientist to join our team in Los Angeles. We are looking for people who will contribute to our mission of bringing people together to celebrate their most important life moments.

Evite’s Analytics & Data Infrastructure team is seeking a Data Scientist to help support the all aspects of our business, with a focus on supporting two key areas: Web/Mobile Products and Online Marketing.

Core Capabilities 

  • Proven track record applying Data Science methodologies to drive improvements to online services and product offerings
  • Proven track record of turning raw data into meaningful intelligence, presenting to business stakeholders, and driving value for the business. Ability to see the business challenge behind analytics challenges
  • Proven track record as a power user of Tableau (or similar BI tool), SQL and Google Analytics (or similar Analytics tool). Knowledge of Python and/or R a strong plus.
  • Strong experience using data and analytics to optimize online product features, user experience and marketing campaigns

The 3C’s (Candidate must have all three C’s)

  • Communication - You’re an eloquent speaker who can explain anything to everyone. You are also a clear and concise writer.
  • Critical thinking - You love logic and data. Thinking strategically is your forte. You enjoy diagnosing complex problems and formulating plans of attack to resolve them. You enjoy an environment where everyone is encouraged to add value at the most strategic level.
  • Cultural fit - You have a craving to fit in a fast-paced, high-integrity, low hand-holding environment (but you will get a hug if you need it). EQ as important as IQ. Bullies need not apply. You want to help bring our “What If” philosophy to life.

Responsibilities

  • Key team member on the Data Analytics team pushing out the envelope in applying advanced Data Science (machine learning and advanced statistical) methodologies to optimize and transform our business processes
  • Use data to drive continuous improvement and decision making, with an emphasis on:
    • Optimizing user experience and ROI for free and premium digital products on web and mobile app
    • Supporting marketing initiatives across online channels
    • Data-driven strategic business decision making
    • Data mining and machine learning of our user and site traffic data to add data-driven intelligence to our user experience and product offerings
    • Define KPIs and business objectives and build automated dashboards to optimize
    • digital performance
  • Create Tableau dashboards/reports and maintain our library of self-serve Tableau dashboards to support business users across the organization
  • A/B Testing
  • Google Analytics power user
  • Work collaboratively with stakeholder groups in Product, Marketing and Finance to define business needs and translate them into Data Science solutions
  • Subject Matter Expert (SME) in Data Science methods, able to teach others in the organization as Data Science becomes a larger focus area for the company

Other Preferred Requirements

  • Master’s Degree in Statistics, Data Science or similar degree with a quantitative emphasis
  • Proficient with advanced Data Science methodologies, such as Text Analysis, Machine
  • Learning (e.g. Bayesian or Random Forest algorithms), Logistic Regression, Cluster
  • Analysis
  • 2+ years of experience of supporting digital, or similar, organizations with all analytics
  • needs, preferably in high data volume environments
  • 1+ years of experience with Tableau (or similar BI platform). Ideally a Tableau power user
  • 1+ years of experience with SQL – advanced SQL skills a must
  • 1+ years of experience with Google Analytics (or similar). Multi-channel attribution a plus
  • Experience with R, SAS or similar statistical software
  • Experience with A/B testing. Optimizely a plus
  • Python and/or R a strong plus
  • Strong MS-Excel and PowerPoint skills
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