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Data Science Associate


As a Data Science Associate, you’ll conduct critical research that informs strategic planning and helps leading companies around the globe to enhance their brand awareness with machine learning (ML) and modelling capabilities. Analyse marketing efforts, optimise strategies, and measure success to empower some of the world’s biggest brands in their digital business transformation.

Your Impact:

  • Perform hands-on analysis of large volumes of financial, transactional, marketing and customer data
  • Understand the business context, ask the right questions and articulate the project scope
  • Formulate an ML problem, analyse/explore/identify relevant data, apply various methods for feature modelling, and leverage suitable ML algorithms
  • Explain the reasoning behind the ML models and suggest the best strategy, algorithm or techniques for a particular problem
  • Put theory into practice in thoroughly hands-on ways by writing code, building visualisations and fine-tuning existing algorithms
  • Active involvement in thought leadership and data science competitions is a big plus
    • Examples include published articles in reputed journals and participation in Hackathon and data science competitions such as Kaggle

Your Skills & Experience:

Excellent understanding of:

  • the data science domain, plus some experience in developing prediction models
  • applied statistics, such as probability distributions, measures of dispersion and central tendency, hypothesis testing and statistical inferences
  • data visualisation patterns, plus familiarity with one or more data visualisation tools / libraries such as Tableau, R Shiny or Seaborn

Familiarity with:

  • machine learning algorithms, such as k-NN, Naive Bayes, SVM, Random Forest, Linear Regression, ARIMA, Neural Nets and deep learning
  • one or more data science toolkits, such as Azure ML, AWS ML, R, scikit-learn, Matlab, Rapidminer and SAS

Nice to have knowledge of:

  • Big Data platforms like Hadoop: Hive, Pig, Spark, etc., as well as NoSQL DBs like MongoDB, Cassandra and HBase
  • traditional business intelligence (BI) and data warehousing
  • Excellent oral and written communication, presentation and analytical skills

Benefits of Working Here:

  • Great healthcare benefits including comprehensive private healthcare covering pre-existing conditions, dental insurance, life insurance, complimentary access to Headspace app
  • Company discounts including wellbeing activities, retail discounts
  • Support and tools to be coached and mentored, and experience hands-on learning to sharpen your skills and learn from industry experts 
  • 33 days holiday including bank holidays

Your Education:

  • Bachelor’s degree or Master’s in Mathematics, Statistics, Physics, Engineering, Bioinformatics, Computer Science and other areas where machine learning or deep learning are applied
  • Formally educated in data science

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