Senior Associate, Data Science

Job Title

Senior Associate, Data Science

Job ID

84954

Areas of Work

Analytics, Data & Research, Technology & Engineering

Employment Type

Permanent Full-Time

Location(s)

Melbourne, Perth, Sydney

ABOUT US:

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 ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 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%)

ABOUT US:

Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future.

Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a gold rating from EcoVadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 2% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.