Data Scientist, OSP - Barcelona

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Reference
DS-OSP-BCN
Salary
Competitive plus benefits
Closing date
31 Dec 2018
Hours
40 hours per week
Contract type
Full-time
Location
Barcelona
Description

We're Ocado Technology. We design and build the platform that powers Ocado, the world's largest online-only grocery retailer. We're also putting the world's retailers online, including Morrisons (the fastest growing online supermarket in the world), Fetch, Sizzle, and Fabled by Marie Claire.
We write and build all our own systems, from website to warehouse control systems, van routing systems to mobile apps, every system involved in our e-commerce and logistics operation has been carefully crafted by our team of passionate software engineers.
We have a rapidly expanding portfolio of amazing software products being developed in Barcelona. And we work closely with our development teams in our other centres around the world.

Job Specification
As a Data Scientist in Ocado Technology, you implement statistical and machine learning algorithms, design experiments, and use your statistical knowledge to get insight from data. At this position, your responsibilities include exploratory research, and the dissemination of useful new methodology and algorithms to the rest of the team. As with any member of the team, you are also expected to work closely with the team lead and senior management to identify and scope projects, plan those projects, create prototype systems and algorithms, and effectively communicate advanced technical issues and findings to a range of technical and non-technical internal audiences. You are also advocate of the best practices in Data Science day-to-day work.

We are looking for people who are experts and get things done by using their smarts and whatever tools make sense to get the job done. People who love to stand on the shoulders of giants to solve new problems and thrive in a rapidly innovating space.

Key Customers
Ocado Technology, the Ocado or OSP client retail team and a range of stakeholders across the business

Roles & Responsibilities

  • Design experiments, test hypotheses, and build models
  • Conduct advanced data analysis and design complex algorithms
  • Solve client analytics problems (in iterative processes) and communicate results and methodologies
  • Develop experimental design approaches to validate finding or test hypotheses
  • Provide ongoing tracking and monitoring of performance of decision systems and statistical models
  • Prototype systems and algorithms
  • Communicate what you find to broader audience

You may be asked to perform tasks as required by management deemed as a reasonable request. This job description is a summary of the typical functions of the role, not an exhaustive or comprehensive list of possible role responsibilities, tasks and duties and is subject to review. The responsibilities, tasks and duties of the jobholder might differ from those outlined in the job description and other duties, as assigned, might form part of the job.

Outcome of your work

  • Various documents: design of experiments, summary of experiments, architecture of solutions, analysis and recommendations that support decision making process, technical documentation of the approach
  • Presentations (i.a. outcome of the work, strategy)
  • Source code (i.a. reproducible analysis, models)
  • Databases
  • Dashboards, infographics and various visual summaries

Desired skills & competencies
ESSENTIAL  

  • Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques (supervised and unsupervised), and recommendation and optimization algorithms
  • Familiarity with the principles of multivariate testing, experiment design, and the standard methods for analyzing data collected from controlled and quasi-experiments
  • Demonstrated computer programming ability, including SQL, and either R or Python
  • Love to learn new things and can do so quickly

DESIRABLE

  • Master’s Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline
  • Knowledge of Bayesian data analysis, natural language processing, or Bayesian time series modeling techniques
  • Demonstrated ability to scale analysis or algorithms to very large data sets
  • Previous experience working within the Map-Reduce programming model (e.g., Hadoop), Cascading / Scalding, Spark, or Flink
  • Previous experience working with common machine learning toolkits (e.g., Scikit, WEKA, Apache Mahout, Pandas)
  • Previous experience working with data sets measured in terabytes, or on the implementation of scientific/numerical algorithms
  • Storytelling / presentation skills
  • Programming ability in Java

REQUIRED COMPETENCIES

  • Technical Excellence : demonstrates intellectual rigour, possesses relevant abilities & is able to pick up new skills quickly
  • Innovation & Problem Solving: able to solve complex problems, participates in continuous improvement, adapts the ideas of others
  • Productivity, Drive & Achievement: proactive approach, gets things done, demonstrates accountability & ownership, prioritises own workload
  • Business awareness: ability to apply learned skills, awareness beyond immediate area/role
  • Adaptability: working under pressure, flexible, positive & focused during times of change
  • Communication & Impact: strong verbal and written communication in English. Robust interaction with internal stakeholders and other members of the team.
  • Teamwork: works well with others & actively contributes towards team objectives

We can offer you:
A relaxed, international, talented, creative and friendly environment (phew!) where we will provide you with the best tools to develop amazing stuff. We invest in our employees, ensuring we provide them with the best in house and external training programs available. We also really encourage people to attend conferences and be involved in the local developer community.

  • Flexible working hours with short Fridays
  • Reduced hours in August
  • Private Health Insurance
  • Life Insurance
  • Ticket Restaurant Scheme
  • Free fresh fruit, snacks, tea and coffee
  • Monthly drinks events
  • Table football
  • English and Spanish language courses

We are right next to Sants station, a central area of Barcelona. We are just getting going, which makes it a very exciting time to join!

Anything else?
There’s a lot going on at Ocado Technology! Find out more about us at http://www.ocadotechnology.com
Due to the fast paced nature of our business our vacancy close dates may be subject to change.

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