Senior Manager, Data Science
Job Location DK-Copenhagen Job ID 2020-4724 Posted Date 12/16/2020 Category Advanced Analytics Type Regular Full-Time Location : Location DK-Copenhagen
*CVs must be submitted in English to be considered for this role
Bain & Company is the management consulting firm that the world’s business leaders come to when they want results. Bain advises clients on strategy, operations, information technology, organization, private equity, digital transformation and strategy, and mergers and acquisition, developing practical insights that clients act on and transferring skills that make change stick. The firm aligns its incentives with clients by linking its fees to their results. Bain clients have outperformed the stock market 4 to 1. Founded in 1973, Bain has 57 offices in 36 countries, and its deep expertise and client roster cross every industry and economic sector.
Bain’s Advanced Analytics Group is a team of high-impact quantitative technology specialists who solve statistical, machine learning, and data engineering challenges that we encounter in our client engagements. AAG team members hold advanced degrees in subjects ranging across statistics, mathematics, computer sciences and other quantitative disciplines, and have backgrounds in a variety of fields including data science, marketing analytics and academia.
This is an opportunity to be a key leader in Bain’s expanding data science capability area with a specialization within Commercial Excellence and Pricing. This position will be part of the Advanced Analytics Group (Bain’s team of data science, engineering, marketing science, operations research and primary research experts). Responsibilities will include working closely with the Advanced Analytics Group (AAG), Bain Partners, Bain Practice Areas, and the Technology Services Group (TSG) to extend and innovate our data and analytics capabilities. This will include helping formulate and driving our evolving strategy on how to best support our clients on large data/heavily analytic initiatives with emphasis on Commercial Excellence and pricing. Serve as Advanced Analytics expert on Advanced Analytics strategy cases broadly, but with emphasis on Commercial Excellence and pricing. Be an expert advisor in proposal discussions broadly, but with emphasis on Commercial Excellence and pricing.
This position will be located in Copenhagen, Denmark.
Responsibilities & Duties Work with consulting teams and clients to understand business problems, translate them into data science projects and appropriately prioritize and execute. Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions for Bain clients across a variety of sectors; Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization & dashboard applications; Help develop Advanced Analytics Intellectual Property and identify areas of new opportunity for data science and analytics for Bain and its clients Communicate with and educate both senior and junior colleagues to further embed data science and analytics across the firm and within our clients; Advise Bain clients and consulting teams on data strategy, analytics strategy, and data science best practices Manage local Data Scientists and be part of creating an analytics community in Bain Nordic Help to increase consulting staff’s knowledge of Advanced Analytics and Data Science. Provide training, documentation and other assistance to Bain’s consulting staff to support and expand the use of data science analytics. Develop and/or implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets. Develop, prototype and test machine learning algorithms on data sets that can range from a few data points to billions. Train relevant AAG team members to support big data/data science initiativesDevelop relationships with external data and analytics vendors and interact with as needed. Keep abreast of new and current statistical methodologies, machine learning and technologolies.
Required: 6+ years’ experience in data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and cleaning, both structured and unstructured data Track record of leading and collaborating on strategic initiatives. Strong team and business communication skills – can walk through approach with technical clients or explain tricky concepts to non-technical people Ability to collaborate with people at all levels and with multi-office/region teams. Must thrive in a fast paced environment and be able to work independently. Experience in some of machine learning frameworks and tools (e.g. scikit-learn, mlr, caret, H2O, TensorFlow, MXNet, PyTorch, CNTK, MLlib). Proficiency with data wrangling, visualization and modeling in either R or Python is required. 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. Proficiency in SQL is required and experience in relational databases/data warehouses is required. Agile way of working. Work location will be Copenhagen but travel will be required in the Nordics and across EMEA. Fluent proficiency in spoken and written English is required– Danish language is a strong plus.
Preferred: Strategic consulting experience a plus 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. GCP, AWS, MS Azure, Hadoop, Spark) Experience in managing a data science team is desired Familiarity with other analytical software such as SAS is a plus. Experience with dashboards, business intelligence tools, and visualization solutions (e.g., Tableau, Qlik, Shiny, Dash) is desired Experience with Git and modern software development workflow is a plus Experience with containerization such as Docker is a plus