Manager, Data Science

Key Skills

Java Programming, Python Programming, SQL, Git, Azure, AWS, Apache Hadoop, Aartificial intelligence, Machine learning techniques, Data science techniques, Deep Learning, Keras software library, Natural Language Processing (NLP), NoSQL, PyTorch, TensorFlow, Docker, Google Cloud Platform (GCP), R Programming, SPARK Programming, Text Processing, Data Wrangling

Job Description

• 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, decision science and primary research experts).
• Responsibilities will include working closely with the Advanced Analytics Group (AAG) and Bain’s consulting teams to provide high quality results for our clients, some of the most successful and pioneering businesses in the world.
• This will include helping formulate and driving our evolving strategy on how to best support our clients on large data/heavily analytic initiatives.

The person in this role will need to:

• Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization & dashboard applications
• Communicate with and educate both senior and junior colleagues to further embed and develop data science and analytics across the firm and within our clients across a variety of sectors
• Work to advance AAG’s and Bain’s analytic capabilities and provide training to the consulting staff as needed

WHAT YOU WILL 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:

• 5+ years of experience with data science and statistical analysis in a business, marketing science or social science environment 
• A Masters’ Degree or Ph.D. in Computer Science,

  Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research or related field is a plus

• Strong background in Statistics (Frequentist and Bayesian is a plus) and Mathematics
• Must thrive in a fast paced environment and be able to work independently
• 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 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 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
• Proficiency in Korean along with English language also essential

 ABOUT US

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

Across 63 offices in 38 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