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Data Science Lead - North America

Company: Acceleration
Location: Seattle
Posted on: November 22, 2021

Job Description:

Acceleration is WPP's specialist practice for Google Marketing & Cloud Platforms. We are a curious team of highly skilled data and technology practitioners, inspired by experimentation and new ideas. -- This is the lifeblood of the future-forward solutions we deliver, that empower our clients to compete every day, in a dynamic environment. And it is the reason we have become trusted advisors to CEOs, strategic partners to CMOs, and operational partners to CIOs, around the globe.
We help clients leverage the power of Google's Marketing and Cloud platforms to transform their marketing organizations and accelerate growth. -- With access to expert consultancy services and a deep bench of specialized skills, we -- deliver -- what marketers need to compete effectively, increase efficiency, and drive growth. We are well known for our open, transparent, and honest relationships with clients. We identify opportunities for innovation while remaining firmly grounded in business reality. We demystify complex tasks and impart knowledge without hype or pretense, and we shape marketing ecosystems to drive growth through the intelligent application of data and technology. Most importantly, we speak in specifics and get the job done. Our contribution is measured by our clients' success. We understand that speed to value is critical. This is why we release value at every step of the process. Every day we build our skills and hone our craft to get our clients the results they deserve. -- We are Acceleration: We turn bold ambition into business reality. ROLE -- OVERVIEW : T he Data Science Lead will have responsibility over a broad area of initiatives, tasked with developing solutions for our clients which drive business value. The candidate should be able to apply quantitative, analytical and data science skills to complex problems. They should be able to collaborate with internal and client teams to solution, implement, and analyze against the solution with the focus on the outcome to solve the business problem. The candidate is responsible for thought leadership and team development and ultimately developing data-centric solutions that increase the value we bring to our clients. AREA OF EXPERTIZE: -- Acceleration -- is part of WPP, the world's largest advertising and marketing services group. Clients come to us to solve -- today's -- biggest challenges, surrounding the use of data and technology, to support delivery of improved digital -- marketing -- experiences for their customers, across paid, owned and earned environments. -- Typically, -- their biggest area of investment is media, and using data and technology, to un-lock value in this area is critical. -- You will -- display -- a distinctive level of subject matter expertise on how to architect and deliver -- advertising / marketing technology and data strategies that -- accelerate client -- value, -- by increasing customer engagement and personalization -- in this area. Google is a key partner of ours, and a primary route to market - knowledge of the Google Marketing Platform as well -- as how Google Cloud can improve marketing efforts is a strong bonus. -- IDEAL CANDIDATE: The successful candidate will be eager to take on challenging business problems and apply solutions using platforms like Google Cloud Platform and open-sourced languages. The candidate will be able to design and implement end-to-end data pipelines using statistical, ML methods, and other tools on GCP. The candidate will be innovative and be able to translate statistical methods and results into everyday language for consumption and understanding by marketers and technical counterparts. Beyond GCP, the candidate will be able to create models and operationalize such models. The candidate will have experience with different data types and be able to orchestrate a data solution with the support of data engineers, implementation engineers, and solutions architects. The candidate must have extensive practical expertise and work experience with supervised and unsupervised Machine Learning. They also should have kept abreast of newer solutions like Deep Learning and how to use modern analytic and data tools. RESPONSIBILITIES:

  • Design data pipelines with solutions architects and other stakeholders
  • Supervise the technical direction of data science projects
  • Contribute to product ideation and development
  • Partner closely with Product, Engineering, and Analytics
  • Translate data science outputs and insights to technical and non-technical audiences
  • Create solutions within GCP and other systems that bring additional value to client projects
  • Apply data mining techniques and statistical analysis to various types of internal and external data
  • Work with engineering teams to operationalize Machine Learning models REQUIREMENTS: --
    • Demonstrated experience with the following: machine learning, data mining, computational analytics/optimization, application development, data mining, predictive modeling, deep learning
    • Expertise in statistical frameworks, including causal media mix modeling, multi-touch attribution, causal inference, etc.
    • Knowledgeable in using BigQuery , Cloud Dataproc , Google Data Studio, Cloud Dataflow, Spark, Hive, R, Python/Anaconda, TensorFlow a plus
    • Advanced degree in analytical field ( e.g. Applied Mathematics, Statistics, Data Analysis, Operations Research, Data Science)
    • A strong passion for problem solving and innovation
    • Strong aptitude for numerical detail and analysis
    • Expertise working with engineering teams to activate and operationalize Machine Learning models
    • Passionate about working in an extremely fast-paced, demanding, and fluid start-up environment as well as having a desire to build a company up from an early stage

Keywords: Acceleration, Seattle , Data Science Lead - North America, Other , Seattle, Washington

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