BCG Digital Ventures
Sydney NSW, Australia
We’re BCG Digital Ventures. Welcome.
A wholly owned subsidiary of the Boston Consulting Group, we invent, launch, scale, and invest in game changing start-ups with the world's most influential companies. We know that we have the greatest impact when people with different perspectives from different backgrounds work together inclusively and with relentless dedication to the customer. BCGDV brings together multidisciplined teams to create extraordinary ventures that have a profound impact on the way the world thinks, works, interacts and behaves every day. If you have the passion, tenacity, and curiosity to build innovative businesses from the ground up, adventure awaits you.
Introducing our Engineering Team.
Our Engineers design, develop and maintain the technology which is at the core of our ventures, solving challenging problems with radically simple solutions that disrupt markets, generate value and positively impact millions of lives. Working in multidisciplinary teams of Product, Business, and Design professionals, Engineers at BCGDV build products from scratch and create testable software which delivers maximum value for our ventures. You are given the opportunity to learn technologies which are outside of your core specialism due to shifting projects and the opportunity to rotate from one venture to the next.
As a Lead Data Scientist, you will:
Use data-driven insights to craft new software products. You will be involved from the early stages of defining data needs and sourcing data, all-the-way through to productionising predictive models as part of working systems. As a data scientist, you have a solid grounding in scientific work and are able to define and communicate key metrics to stakeholders, as you progress through delivery.
Work as part of the engineering team to develop deployable and scalable software.
Rapidly plan, design, implement and test solutions to data-science problems.
Perform analysis on large sets of data to extract actionable insights and help drive decisions.
Work on end-to-end projects to ensure your findings are executed and tested in a desired way.
Work closely with cross-functional teams of data scientists, product managers, designers and engineers across the company who are passionate about building creative ventures.
Be a collaborating partner to product development teams, making and giving recommendations
As a Lead Data Scientist, you will need:
Solid experience as a data scientist, with a degree in Mathematics, Computer Science or a related quantitative discipline.
Experience developing software in a contemporary programming language (such as Python, Java, C++, R).
Practical experience using contemporary machine learning frameworks, such as caret, scikit-learn, tensorflow or similar.
Familiarity with current approaches and methodologies in solving core machine learning tasks, such as supervised and unsupervised learning.
Experience driving real world product or feature decisions based on your analysis.
Deep understanding of numbers, as well as a strong business sense.
Ability to understand and solve loosely defined problems, find answers and actionable insights to inform product development decisions.
Ability to query, manipulate and analyse large datasets.
Additional valued capabilities include:
PhD or similar research degree in Computer Science, Statistics, Applied Mathematics, or related areas.
Expertise in recommender systems, personalization, collaborative filtering and content based filtering.
Experience working with deep-learning models to solve visual and language problems.
Open-source contributions to contemporary and relevant machine-learning libraries.
Ability to work with dashboard and visualization software (such as Tableau, D3, Mixpanel, Flurry or Google Analytics).
Experience collaborating closely with research to design novel analytical approaches.
Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.