Senior Associate, Data Science

1 week ago

Sydney, New South Wales, Australia Bain & Company Inc Full time

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently #1 ranked consulting firm on Glassdoor's Best Places to Work list and have maintained a spot in the top four on Glassdoor's list for the last 13 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

WHAT YOU'LL DO:

Our Advanced Analytics Group is a team of experts in data science and engineering. You will work alongside Bain's consulting teams to provide high quality results for our clients, some of the most successful and pioneering businesses in the world. In this role you will:

  • Provide data science services to Bain case teams and clients worldwide. You will work with other data scientists and case teams to assess client demands and suggest data science methods that provide practical, value-added answers to the client and case teams.
  • Develop solutions that bring critical insights to wide scale of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and fraud detection.
  • Develop, prototype and test machine learning algorithms on data sets that can range from a few data points to billions.
  • Apply machine learning and statistical techniques including regression models, decision trees, random forests, gradient boosting, support vector machines, clustering and topic models.
  • Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments.
  • Keep abreast of new and current statistical methodologies, machine learning and data wrangling techniques.

ABOUT YOU:

  • A Master's Degree or Ph.D. in in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research. Previous work experience in a related field is a plus.
  • 1-3 years' experience
  • Strong foundation in Mathematics and Statistics
  • Demonstrated interest in ML/AI/Data Science such as independent projects shared with community (via GitHub, etc) and/or contributions to open-source initiatives are strongly encouraged
  • Proficiency with data wrangling, visualization and modeling in either Python or R is required
  • Proficiency in SQL is a plus
  • Proficiency with VBA, Javascript and/or Alteryx is a plus
  • Examples of domain expertise in which we are interested are: predictive modeling, churn analysis, time series forecasting, computer vision, text mining, recommender systems, market basket analysis, segmentation, graph analytics, natural language processing and text analytics
  • Experience with Git and modern software development workflow is a plus
  • Strong interpersonal and communication skills are pre-requisite for this role
  • Ability to explain and discuss mathematical and machine learning technicalities to a business audience.
  • Must thrive in a fast paced environment
  • Travel required (30%)

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