WHAT YOU'LL DO

You’ll work as an integral part of a data science team within the knowledge tribe to lead innovation on advanced analytics solutions. Knowledge Navigator is knowledge management system that serves as a search tool to BCG’s internal users including consultants and researchers, allowing them to quickly find needed materials and documents. This role will work primarily on Knowledge Navigator to analyze its production clickstream and various structured/unstructured datasets and to facilitate building ML based features (query suggestions, document recommenders, etc.). The ideal candidate will have outstanding hands-on data processing experience, strong collaborative and execution capabilities, excellent communication skills, a practical and flexible mindset, high attention to detail and work quality, and robust understanding of business matters.

You’ll work closely with Product and Engineering team to ensure front-end updates to Knowledge Navigator can be captured and integrated into our existing data pipeline, and when needed manage the design and development of additional assets and capabilities. You’ll collaborate closely with data scientists, product managers, UX designers, and analysts to craft analytics deliverables and integrate analytics into strategic-minded dashboards, reports, and ad-hoc analyses

YOU'RE GOOD AT

• Build data processing pipelines (Expert at data manipulation: aggregation, imputation, etc.) and comfortable with complex data manipulation

• Work closely with product team and stakeholders to define, build and track success metrics to improve user experiences

• Overseeing end-to-end workflow from planning to presenting findings

• Ensure robust ETL (Extract/Transform/Load) pipeline to prepare data for downstream analysis and reporting

• Establish best practices that accelerate analytics projects by improving efficiency and encouraging the re-use of existing technologies, frameworks, infrastructure, etc.

• Improve our team workflow through knowledge sharing and documentation around our data.

YOU BRING (EXPERIENCE & QUALIFICATIONS)

• 3 to 5 years of experience in quantitative or data science roles, preferably with search related experiences
• Expert in statistical analysis and programming languages (e.g., python, SQL)
• Expert in data processing, data pipelines, and feature engineering
• Proficient with Data science frameworks: Numpy, Pandas, Scikit-Learn, Dask, Pytorch, Tensorflow, etc.
• Experiences with cloud computing tools (preferably AWS platform)
• Previous experience working in a global organization or professional services firm is preferred
• Previous experience working with Agile development methodologies and ceremonies is preferred

YOU'LL WORK WITH

• Data science chapter on various initiatives

• Product team, infrastructure team, front-end designers, and business intelligence analysts to streamline current and future data products

• BCG’s Knowledge Tribe, including 12 agile squads/over 100 team members focused on BCG’s internal content and search experiences as well as supporting BCG’s Knowledge Organization’s technology needs.

• Agile Coaches, with whom you will share passion about Agile ways of working and with whom you will shape promote business agility (within your teams and in the whole company)

ADDITIONAL INFORMATION

Among your responsibilities, you will:

• Maintain & Update Clickstream Data Processing Pipeline

  • Own end-to-end data workflow for one of BCG’s internal products

  • Work closely with Product team to incorporate updates from front-end in existing data processing pipeline

  • Streamline the current data cleaning process

• Uncover Insights from User activity Log

  • Conduct exploratory analyses to understand user behavior patterns

  • Develop tools to help analyzing various product metrics and to help the product team to understand the impacts of new features

  • Communicate findings with the product team, stakeholders, and wider team in the organization

• Apply ML techniques for content enrichment and relevancy improvement

  • Build end-to-end ML solutions from data ingestion to inference and model monitoring
    Collaborate cross-functionally to bring ML models to production