Data Scientist
on 2020-02-07 218 views

Principle Data Engineer

QuantumBlack - A McKinsey Company -

QuantumBlack - A McKinsey Company - members View more

  • Eloïse Gleek

  • Matt McDevitt

  • I am responsible for McKinsey's tech talent recruiting.
    Being involved in various recruitment but my strength is particularly for AI-related tech talents.
    I get excited by meeting excellent tech talents and am looking forward to seeing the business impact that they can bring :)

What we do

  • We established QuantumBlack to reimagine how organisations can continuously improve and outperform rivals. To do this we follow a structured method enhanced by capability building of both people and technology.

We unlock elite performance together

QuantumBlack is an advanced analytics firm operating at the intersection of strategy, technology and design to improve performance outcomes for organisations.

In 2015 we became part of McKinsey & Company. Together we combine our advanced analytics, design and engineering expertise with McKinsey’s industry knowledge and organisational change management experience.

QuantumBlack was born and proven in Formula 1 – where teams live and breathe data. Today, we are still fascinated by how a marginal gain can have a significant impact on the performance of any organisation.

Why we do

  • Jeremy Palmer, CEO of QuantumBlack, gives speech at the Japan Office Launch.

Our method
We established QuantumBlack to reimagine how organisations can continuously improve and outperform rivals.

To do this we follow a structured method enhanced by capability building of both people and technology.

Our process deploys cutting-edge techniques and offers a scalable approach that targets multi-year transformations.

Clarity of Purpose
Every engagement is focused on determining what will have the biggest impact on an organisation.

Insights to Capability
We uncover robust new insights and then help our clients build capabilities to achieve continuous improvements.

Human + Machine
What we can measure and analyse, we can understand and change. We strive for clear analysis and insights from our cutting-edge technology.

How we do

Employing the best people is a key ingredient

From building cities to saving lives, our people help answer some of the world’s most worthwhile challenges.

Our interdisciplinary team consists of strategists, data scientists, engineers, and designers. We seek out curious minds both in our people and our clients. We value attention to detail. We accept ambiguity. And we care deeply about outcomes.

As a new team member

You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally.

In this role you will influence many of the recommendations our clients need to positively change their businesses and enhance performance. You will work with clients to model their data landscape, obtain data extracts, and define secure data exchange approached.

You will collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models. This is a fantastic opportunity for you to be involved in end-to-end data management for bleeding edge Advanced Analytics and Data Science.

You will learn to Influence, develop and master best-practice around modern tools that support rapid development of analytics solutions like Python, Spark, Airflow and apply other cutting edge data solutions to real world problems.

・Bachelor's degree in a relevant field (i.e., Computer Science, Machine Learning)
・Strong experience with at least two of the following technologies: Python, Scala, SQL, Java
・Commercial client-facing project experience is helpful, including working in close-knit teams
・Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
・Meaningful experience in multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR, Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
・Ability to clearly communicate complex solutions
・Strong understanding of Information Security principles to ensure compliant handling and management of client data
・Experience and interest in Cloud platforms such as: AWS, Azure, Google Platform or Databricks
・Strong experience in traditional data warehousing/ ETL tools
・Strong command of both English and Japanese (N2 or above)

Highlighted stories

Why Japan Offers A Perfect Storm For Advanced Analytics
Introducing CausalNex — Driving Models Which Respect Cause And Effect
Introducing Kedro: The open source library for production-ready Machine Learning code
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Company info
QuantumBlack - A McKinsey Company -
  • Founded on 2005/01
  • 400 members
  • Ark Hills Sengokuyama Mori Tower 9-10 Tokyo 106-0032 Japan
  • Principle Data Engineer
    QuantumBlack - A McKinsey Company -