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Senior Data Scientist

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Salary: 
124 - 187K yearly
Experience: 
Senior (5-10 years)

Offer summary

Qualifications:

Master’s degree in Math, Statistics or related field, 7+ years of experience in analytics, Fluency in SQL, Python, and data visualization tools, Strong proficiency in media measurement and statistical modeling.

Key responsabilities:

  • Lead data discovery sessions with clients
  • Provide consultation on audience strategy and measurement
LiveRamp logo
LiveRamp Large https://liveramp.com/
501 - 1000 Employees
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Job description

LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.

Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.


About this role

As a Senior Data Scientist on the Analytic Services team, you will play a crucial role in driving data-driven decision-making for our clients, including development and application of media measurement methodologies and analytic solutions using LiveRamp’s suite of products.

This role combines technical proficiency with strategic client engagement, requiring you to be innovative yet logical in applying statistical methods and analytical solutions.  You will lead analytic engagements working directly with our most complex clients and datasets.  This includes leading data discovery sessions to understand our customer’s business needs and translating those needs into specific analytic requirements. You will develop analytical models to inform audience strategy and define measurement frameworks.  You will leverage your consultative, analytical and technical skills to deliver thoughtful insights that inform client business decisions.

To be successful, you should be data-curious, consultative, have a strong grasp of media measurement and statistical methods, and be eager to dive into technical and analytical detail.  You should be an avid problem solver and embrace new and evolving data tools.

You will:

  • Lead data discovery sessions with clients to understand their business needs and translate those needs into specific analysis requirements

  • Provide consultation and advisory support to clients and internal teams on audience strategy, experimental design, data requirements gathering, and post-campaign measurement using statistical and mathematical concepts to drive business solutions and actionable recommendations

  • Leverage your deep technical expertise to work with billions of rows of data, generating consistently accurate and statistically sound actionable insights

  • Create compelling presentations and effectively communicate complex analytical concepts to business and technical audiences

  • Build up a strong understanding and expert knowledge of the various data sources brought together for data enrichment and collaboration

  • Advise clients on how to creatively leverage this rich data asset for their respective insight, segmentation, measurement, and activation needs

  • Engage with Engineering and Product teams to provide input into the data science product roadmap based on client requirements and feedback

  • Collaborate with Product teams on development of training material and best practices

  • Provide mentorship and guidance to junior team members 

About you: 

  • Master’s degree in Math, Statistics, Predictive Analytics or other quantitative discipline

  • 7+ years of relevant experience within digital adtech or professional services in an analytics function

  • Hands-on fluency in performing data and statistical analysis using SQL, Python, PySpark, BigQuery, and/or R

  • Hands-on fluency with data visualization tools such as Tableau, Looker and/or others

  • Strong proficiency in campaign test design and measurement, media optimization, statistical modeling and segmentation in a data science or analytic consulting role

  • Strong quantitative and research skills with proven ability to tell data driven stories and articulate strategic business and marketing recommendations

  • Attention to detail and time management, producing high quality, client-ready analytic deliverables across multiple projects and client engagements

  • Proficient in integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or campaign performance questions

  • Excel at working in ambiguous environments in a consultative/advisory manner with clients 

Preferred Skills:

  • Action-oriented - Be a self starter who takes on new challenges with enthusiasm and takes action with minimal guidance

  • Critical thinking – Capable of discerning the unasked questions and enthusiasm for translating data into actionable insight relevant to marketing program objectives

  • Entrepreneurial - Actively collaborates across functional areas to fulfill client requirements

  • Willingness and desire to learn and adopt new skills - both technical and non-technical - in order to craft and deliver the best solutions

  • Exceptional EQ
     

Benefits:

  • 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, and sports leagues. 

  • Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.

  • Comprehensive Benefits Package: Medical, dental, vision, life, and disability. Plus, mental health support (via Talkspace), flexible time off, parental leave, family forming benefits, and a flexible lifestyle and wellbeing reimbursement program (up to $375 per quarter, 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 provide you with equipment and tools to be your most productive self, no matter where you're located

  • Location: work from any LiveRamp location or home 

The approximate annual base compensation range is $124,000 to $187,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.

More about us:

LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Action Oriented
  • Willingness To Learn
  • Critical Thinking
  • Time Management
  • Communication
  • Problem Solving

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