Analytics India Magazine - Senior Manager - Data Scientist

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.

Job Description:

- 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.

ABOUT YOU :

- 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.

- 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.