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Data Scientist
Posted on 3/28/2022
INACTIVE
Locations
San Francisco, CA, USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
BigQuery
Data Analysis
Data Science
Google Cloud Platform
Management
Marketing
R
Redshift
SQL
Tableau
Python
Looker
Requirements
  • Bachelor's degree in Math, Statistics, Economics, Computer Science, Predictive Analytics or other quantitative discipline (Master's Preferred)
  • 4+ years of work experience in a data science role ideally in a professional services environment: digital advertising, database marketing, or interactive/ technology consulting
  • 4+ years of hands-on experience in data extraction and manipulation using tools such as SQL, Hive/ Impala/ Redshift/ BigQuery with minimal supervision
  • 4+ years hands-on experience working with data visualization tools such as Tableau, Looker and/or others with minimal supervision
  • 2+ years of hands-on experience with scripting languages such as Python, PySpark, Spark, and/ or R for statistical modeling
  • Solid understanding of current data science best practices and technology stacks
  • Experience generating consistently accurate, statistically sound analysis and interpreting, translating and synthesizing data into actionable insights in the form of reports, dashboards and client ready presentations
  • Hands on experience with propensity modeling, lookalike modeling and segmentation
  • Understanding of omni-channel campaign measurement methodologies
  • Experience integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or performance questions
  • 2+ years of experience interfacing directly with clients and being able to present complex analytical material in an easy-to-understand manner
  • Experience with cloud computing services such as GCP
  • Attention to detail and time management - delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines
Responsibilities
  • People: Work with talented, collaborative, and friendly people who love what they do
  • Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues
  • Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave
  • Whole Health Package: Medical, dental, vision, life, disability, long term care, accident and critical illness insurance, pre-tax accounts (health, dependent and commuter), and a family forming benefit through Carrot. Plus Milk Stork, backup child and elder care, and discount on pet insurance, mental health support (via Talkspace)
  • FlexPerks reimbursement program to provide flexibility and choice ($375/quarter) for fitness, emotional, financial, family, travel and entertainment, convenience and security expenses. (U.S. LiveRampers)
  • Savings: Our 401K matching plan-1:1 match up to 6% of salary-helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)
  • RampRemote: A comprehensive office equipment and ergonomics program-we help you set up your home office (Home-based LiveRampers)
  • Location: work in the heart of New York and/or from home (remote-eligible roles)
  • Work efficiently with client data and analytics partners to define, configure, extract, aggregate, analyze, package, synthesize, and share data, results, and actionable insight to support client campaigns, products, or business decisions
  • Act as an advertising and retail measurement data subject matter expert (SME)
  • Build up a strong understanding and expert knowledge of the various data sources and methodologies brought together for LiveRamp data sharing solutions - retail transaction data, 1st-party CRM data, ad exposure and response data, and 3rd-party data provider attributes (demographics, psychographics, lifestyle segments)
  • Collaborate with client and capability teams on how to creatively leverage this rich data asset for their respective insight, segmentation, measurement, and activation needs
  • Identify data gaps and advocate for additional data sources to meet unmet
  • Build and foster positive reputation with client-facing delivery teams and Product & Engineering teams to successfully collaborate on designing, building, and launching analytical solutions
  • Be an analytical approach artisan
  • Outline pragmatic solutions to answering insight needs with an eye toward balancing quantitative rigor, data incompleteness, and timelines conducive to rudimentary vs. sophisticated methods
  • Provide input to Product and Engineering teams on cross-format planning &
  • Prepare and present compelling analytical presentations and effectively communicate
Desired Qualifications
  • Knowledgeable of the media planning, measurement, and optimization process and acumen (both online and offline)
  • Proficient with the application of analytic methods in digital and mobile channels
  • Proficient with direct and/or interactive marketing test design
  • Demonstrated history of innovation with emerging ad platforms, data, measurement, or analysis techniques
  • Understanding of LiveRamp's role in the market and the broader AdTech/MarTech space
  • Data privacy/security and related governance processes (Privacy Impact Assessment
LiveRamp
Company mission
LiveRamp is the leading data connectivity platform for the safe and effective use of data.