Expert Senior Manager, Data Scientist
Job ID
101880
Work area(s)
Description & Requirements
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
WHO YOU’LL WORK WITH
As a member of Bain’s AI, Insights & Solutions, you’ll join a talented team of diverse and inclusive analytics professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.
WHAT YOU’LL DO
As a senior member of the growing Data Science team in Bain’s AIS Group, you will:
- Collaborate closely with and influence business consulting staff andsenior executivesas part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety ofsectors
- Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
- Develop and deploy industry-leading machine learning models, aimed at solving client problems across industry verticals and business functions.
- Help develop AIS intellectual property and identify areas of new opportunity for data science and analytics for Bain and itsclients
- Ensure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functions
- Share learnings and drive adoption of best demonstrated practices with your teammates in AIS about theoretical and technical developments in the rapidly evolving data science field, collaborate with theopen source community, and work together to create a great working environment that attracts other great data scientists
- Keep abreast of new and current data science techniques andtechnologies
- Participate in expert advisory activities that required deep expertise in data science domain
- Be an expert advisor in proposal discussions
- Lead recruiting and onboarding team members asneeded
- This position will be located in Tokyo
ABOUT YOU
We are looking for someone who has:
- Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statisticsor Information Sciences such as business analytics or informatics
- 8-10 years of experience in analytics
- 3+ years of experience managing data scientists
- Shipped production, enterprise scale data products
- Track record of leading and collaborating on strategic initiatives
- Strong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from otherdisciplines
- Solid fundamental knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.
- Experience with MLOps– scalable development to deployment of complex data science workflows
- Experience with model explainability and interpretability techniques
- Proficiencyin Python required
- Experience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib)required
- Experience with large-scale distributed computing and cloud platforms such as AWS,Azureor GCP
- Experience in big data technologies such as Hadoop,BigQuery, S3, MapReduce, Apache Spark isrequired
- Experience using frameworks like OpenAI is aplus