Data Scientist

Store Support Centre - London

Competitive plus benefits

Permanent - Full Time

29 September 2017

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Data Scientist

In a nutshell

Predicting customer behaviour, scheduling driver deliveries and optimising store space. These are a small selection of the breadth and complexity of problems we solve in the Data Science & Algorithms team.

Reporting to the Chief Data Officer in our Data and Analytics Centre of Excellence (DACE), we are constantly seeking quantifiable opportunities with scientific rigour. The success of our recent projects and our growing reputation has led to an increased demand for Data Science across the business, and we now want to increase the capacity of our talented team with an ambitious data scientist with strong commercial acumen.

If you want to work in an international team alongside colleagues in Information Management, Engineering, Analytics and Reporting to make a quantified difference to our business then please read on.

What I need to do

  • Use methodical Data Science techniques to select and tune algorithms and quantify performance in a business relevant way
  • Tell engaging stories using non-technical language and exciting visualisations to influence change
  • Design and execute experiments to quantify the performance of your algorithms in both digital and physical domains and test business hypotheses
  • Support the creation of productionised solutions by Agile development teams on a Hadoop/Spark stack
  • Develop and maintain relationships with internal customers and product owners to increase awareness of Data Science and drive its uptake

How I will succeed

  • Deliver concurrent iterative Data Science projects to high quality at pace, focusing on ‘good enough’ and ‘in use’
  • Test Data Science hypotheses and design experiments and algorithms that leverage machine learning, statistics, mathematics, and data visualization
  • Raise awareness of Data Science in Sainsbury’s and our data community

What I need to know

  • Knowledge or direct experience of grocery or retail preferred
  • A quantitative advanced degree preferred (e.g. statistics, math, science, computer science, engineering)
  • Must be proficient with Python/R and Data Science stack (pandas, matplotlib, data.table, dplyr, caret, etc)
  • Preferably proficient with SQL and ability to profile and transform relational data structures
  • Proficient with Big Data stack – Spark, PySpark, SparkR, Impala & Hive.
  • Design of Experiments (DOE), hypothesis testing and the scientific method
  • Familiar with project management methodologies such as Agile and/or Kanban
  • Familiar with software engineering techniques including version control, build automation, testing

What I need to show

  • Demonstrated industry or management consulting experience and quantifiable successes in Data Science delivery
  • Ability to design and code Data Science experiments and algorithms that deliver practical, quantifiable business benefits
  • Management of your deliverables, timelines and stakeholders
  • Curiosity, scepticism and attention to detail regarding data, data quality, samples, bias etc
  • A creative  mindset to contribute new ideas that will revolutionise the business

Resources available to me

  • Flexible compute on AWS and mainstream open source Data Science stack (Hadoop, Spark etc)
  • Architects, product owners, information management, analytics, reporting, system SMEs, retail SMEs
  • Conferences, training and a world class data science team to support developing your skills
  • Flexible workspaces (white boards, libraries, collaboration spaces) located in the heart of the City

What decisions I can make

  • Choice of Data Science techniques and technologies to apply on a per project basis
  • Communication of results and recommendations to influence business change

*LI-RM1

Apply now