Associate Data Scientist

Store Support Centre - London

Competitive plus benefits

Permanent - Full Time

30 November 2017

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Associate 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. We now want to increase the capacity of our talented team with ambitious Associate Data Scientists eager to learn to apply practical data science in a commercial environment.

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
  • Execute experiments to quantify the performance of your algorithms in both digital and physical domains and test business hypotheses
  • Work collaboratively in a team of Data Scientists and Engineers to put your algorithms into use

How I will succeed

  • Deliver components of Data Science projects to high quality at pace, focusing on ‘in use’
  • Rigorously test Data Science hypotheses and design experiments and algorithms that leverage machine learning, statistics, mathematics, and data visualization
  • Share knowledge to contribute back to our team and broader data community

What I need to know

  • Knowledge of grocery or retail preferred
  • A quantitative advanced degree preferred (e.g. statistics, math, science, computer science, engineering)
  • Must have knowledge of Python/R and Data Science stack (pandas, matplotlib, data.table, scikit-learn, dplyr, caret, etc)
  • Knowledge of SQL and ability to profile and transform relational data structures
  • Knowledge of Spark, PySpark, SparkR, Impala an advantage
  • Design of Experiments (DOE), hypothesis testing and the scientific method
  • Familiar with software engineering techniques including version control, build automation, testing

What I need to show

  • Demonstrated ability to create Data Science deliverables with quantified benefits
  • Ability to design and code Data Science experiments and algorithms that deliver practical, quantifiable business benefits
  • Management of your deliverables, timelines and to a project plan
  • 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 in collaboration with Senior Data Scientist
  • Contribute to communication of results and recommendations to influence business change

*LI-RM1

Apply now