Manager, Data Science

• Company Bain & Company
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

WHO YOU’LL WORK WITH

This is an opportunity to be a part of Bain’s expanding data science capability area. This position will be part of the Advanced Analytics Group (Bain’s team of data science, marketing science, operations research and primary research experts).
 

WHAT YOU'LL DO

• Provide data science services to Bain case teams and clients worldwide. You will work with 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.
• Combine domain expertise to perform feature engineering
• 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.
• Where appropriate, train other team members to support the use of data analytics tools and to expand the use of machine learning within Bain
 

ABOUT YOU

We are looking for someone who has:

• Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus

• Experience with tools in the distributed computing, GPU, cloud platforms and Big Data domains is a plus (e.g. HPC, GCP, AWS, MS Azure, Hadoop, Spark)

• Proficiency with data wrangling, visualization and modeling in either Python or R is required

• Experience with explaining and performing a variety of data science and machine learning techniques

• Examples of domain expertise in which we are interested is: 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 dashboards, business intelligence tools, and visualization solutions (e.g., Tableau, Qlik, Shiny, Dash) is desired

• Experience with deep learning tools such as Keras, TensorFlow, PyTorch, MXNet is a plus

• Experience with Git and Docker is desired

• Strong interpersonal and communication skills are a must
• Ability to explain and discuss mathematical and machine learning technicalities to a business audience.

• Travel required

• Fluent in Spanish and English