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WHO YOU'LL WORK WITH
Our Advanced Analytics Group is a team of experts in data science, engineering, marketing science, operations research and primary research. You will work alongside Bain’s consulting teams to provide high quality results for our clients, some of the most successful and pioneering businesses in the world.
WHAT YOU'LL DO
You should have previous experience working on globally distributed teams. We do not expect you to always know the answer, but you should be able to communicate with your fellow Bain data scientists across the globe. Primary responsibilities gathering requirements, sourcing data, managing client relationships, and communicating results.
Provide data science expertise to Bain case teams and clients worldwide. You will work together with case teams to drive results by assessing needs and developing data science methods, products and capabilities.
Develop analytical solutions that bring critical insights to a variety of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, fraud detection.
Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety of sectors.
Research and develop novel machine learning and statistical techniques to solve complex business problems.
8+ years’ industry experience (or 5+ years with a post-graduate degree in a quantitative discipline such as applied mathematics, computer science, statistics etc.) in a data science, advanced analytics or machine learning team.
Proven leadership and people management experience. 2+ years developing the careers of 4 or more direct reports.
A Bachelor’s Degree in Computer Science, Mathematical or Statistical sciences or related quantitative disciplines is required.
Proficiency in one of the following programming languages: R, Python, Java, Julia.
Proficiency in applied machine learning, optimization, statistical and probabilistic modeling techniques in relevant problem areas such as forecasting, text mining/NLP techniques, clustering, personalization and recommendation engines.
Strong theoretical understanding of statistical techniques, machine learning algorithms and their mathematical underpinnings
Strong capabilities in SQL and experience working with databases and distributed data (MySQL, PostGreSQL, SQL Server, RedShift, SparkSQL, Hive, Pig)
Experience with the Python Data stack and machine learning frameworks (e.g. Numpy, Pandas, Dask, scikit-learn, mlr, caret, H2O, TensorFlow, PyTorch, Caffe,MLlib) is required.
Demonstrable experience in exploratory data analysis (Jupyter, D3, Tableau, RStudio), distributed data frameworks (Hadoop, Spark, Hive, Presto etc.), code review and version control tools, batch and streaming data pipeline orchestration (Airflow, Azkaban, Luigi, Kafka), containerization (Docker, Kubernetes etc.) and deployment (Jenkins) is required.
Strong interpersonal and communication skills and ability to communicate with cross-functional stakeholders
Ability to interpret and explain model predictions and insights to varied audiences
Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact
Some travel required
Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future.
Across 59 offices in 37 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 over $1 billion in pro bono services brings our talent, expertise and insight to organizations tackling today’s urgent challenges in education, racial equity and social justice, economic development and the environment. 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.