Senior Manager, Industrial,Analytics Senior Manager, Industrial,Analytics …

Bain Company
in Boston, MA, United States
Permanent, Full time
Be the first to apply
Competitive
Bain Company
in Boston, MA, United States
Permanent, Full time
Be the first to apply
Competitive
Senior Manager, Industrial,Analytics
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  • Senior Manager, Data Science (Industrial Analytics) Job Location US-MA-Boston | US-DC-Washington Job ID 2019-3358 Posted Date 3/28/2019 Category Advanced Analytics Type Regular Full-Time Location : Location US-MA-Boston
  • Company Overview

    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.

    Department Overview

    The Advanced Analytics Group is a rapidly growing global team of expert consultants focused on Data Science, Engineering, Marketing Science, Operations Research/Supply Chain and Primary Research.   

    Position Summary

    • As a Sr. Manager, Data Science for Industrial Analytics you will have the chance to work on large scale business problems for some of the top global manufacturers and industrial services companies
    • You will use your understanding of our clients’ business context to solve for the most pressing client problems using advanced analytics tools and techniques
    • Driving results together, you will collaborate with Bain consultants, designers, client experts, analytics experts, and our ecosystem of external partners
    • As a data science manager, you will provide vision and direction for the data science solution and have the chance to lead up a teams of data scientists, including providing technical/coding guidance as needed
    • Within this, you will be responsible for managing the development, testing and deployment of these models – potentially taking these all the way to production
    • You will have the opportunity to be a thought leader and guide the codification of key learnings across clients, such as repeatable end-to-end model development approaches and important topics like scaling/hardening effectively for deployment and operations
    • Mentor and support our Data Scientists in extending and innovating our industrial analytics and data science capabilities
    • Extensive travel required

    Collaborate with Bain generalist consultants, designers, and external partners to solve our clients most pressing problems

    Build and manage a team of data scientists with expertise in industrial analytics

    Guide the development of IP and a repeatable model across clients

    • Advanced degree in a relevant field (e.g. Computer Science, Operations Research, Statistics, Applied Math, Systems Engineering, Chemical/Mechanical/Electrical Engineering)
    • 7+ years of experience applying advanced AI techniques (machine learning, optimization, time-series analysis, advanced visualization, heavy data integration/engineering) to business problems, with relevant experience in manufacturing (discrete and process), supply chain and/or energy
    • Demonstrated ability to conceptualize, design and iteratively build data-driven analytical models, and have taken a proven leadership role in shaping these solutions for industrial use cases
    • Managed small to medium sized teams of data scientists for at least 2 years
    • Strong business and technical communication skills, including ability to translate analytical concepts (e.g., machine learning, statistical inference) into language that non-experts can understand.
    • Ability to translate and frame business and user needs into technical requirements
    • Strong capabilities in Python and R, and preferably 1-2 other languages such as Scala, Java, C++, SAS
    • Strong capabilities in SQL and proven experience working with databases and data warehouses or data lakes
    • Extensive experience in developing algorithms and models including time-series models, regression, tree-based models, clustering, neural networks, Bayesian models and ensemble techniques
    • Experience applying these models to industrial applications such as anomaly detection and use cases such as predictive maintenance, yield optimization, and other high value areas
    • Ability to effectively collaborate across the advanced analytics lifecycle (e.g. with machine learning engineers, UI designers and software engineers) to get to full end-to-end solution
    • Depth in areas related to industrial analytics and operations research is a must
    • Experience with data types such as wave form/time-series, text and images, experience tackling ‘big’ data (large, heterogeneous, real-time)
    • Experience with specific industrial data challenges such as sensor fusion techniques, censored data, and modelling approaches for high dimensionality/low sample size
    • Experience in machine learning frameworks and tools (e.g. scikit-learn, mlr, caret, H2O, TensorFlow, MXNet, PyTorch, Caffe/Caffe2, CNTK, MLlib) is desired
    • Experience with dashboards, business intelligence tools, and visualization solutions (e.g., Tableau, Qlik, Shiny, Plotly Dash) is desired
    • Experience with big data computation technologies (e.g. Hadoop, Spark, Hive, NoSQL) a plus
    • Experience with cloud computing platforms a plus.
    • Demonstrable mastery of code and programming concepts (e.g. contribution to open source projects, personal data science projects available publicly on a forum like GitHub or Kaggle or data science related journals and conferences) a plus
    • Familiarity with Bayesian/probabilistic programming, NLP or Image Processing a plus

    Ind123

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