Lead Data Scientist
We’re BCG Digital Ventures. Welcome.
We are an ever-growing global team of the world’s most remarkable entrepreneurs, designers, engineers, venture architects, product experts and investors. Our ventures create a strategic advantage for the most important global companies.
This is BCG Digital Ventures. Adventure awaits you…
Introducing our Venture Build Team.
We have entered a decade of disruption of large corporate business models, driven by a step change in the power of technology and the audacity and speed of start-ups. To be fit for the future, visionary companies will deliberately re-imagine themselves by injecting or attacking established models with new ideas fuelled by technology.
Our Venture Build Team consists of world-class business leaders, product designers, engineers and technology experts. Together, we are helping corporations own the next horizon of innovation.
In your role as the Lead Data Scientist at BCG Digital Ventures, you will:
Demonstrate and communicate a passion for building the data foundation, products and capabilities that drive business growth
Build innovative data products (e.g., real-time services, such as personalization and commerce graphing using Big Data platforms with real-time data ingestion and processing)
Execute descriptive analyses, ranging from identifying product opportunities to understanding user behavior
Cultivate strong collaborative relationships with product, engineering, senior stakeholders.
Share your technical solutions and product ideas with the BCG Digital Ventures team through design review, pair programming, code reviews, and tech talks
As a Lead Data Scientist You Will Have the Following Experience:
Techniques like: Machine Learning, NLP, Graph Theory, AI
One or more programming languages like Python, Java, R, or Scala
Grow the Data team and be an internal advocate.
Delivering data science components that are part of successful commercial products
Collaborating with engineering teams to develop prototypes and software products that can be deployed across varied environments (e.g.: cloud, on-premises, devices, etc.)
Big Data and Fast Data (i.e.: real time streaming)
Working with clients and executives.
Additional Desired Competencies:
Advanced degree in Computer Science, Statistics, Mathematics, or equivalent practical experience
Minimum 7 years of relevant work experience, including expertise in recommendation systems, personalization, collaborative filtering and content based filtering
Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture
Familiarity with SQL or other querying language
Ability to work with dashboard and visualization software such as Tableau, D3, Mixpanel, Flurry or Google Analytics