Data Science Engineering Manager
About New Engen
New Engen helps companies and marketing teams perform at their peak. Our powerful machine learning and AI technology solution fuels growth at companies across industries, geographies and levels of maturity.
We are focused on helping our partners achieve massive scale of new customer value across all digital marketing platforms. We are results driven, committed, iterative and transparent. Our teams of expert Marketers, Application Developers and Data Scientists help tackle some of the most complex digital marketing challenges.
At New Engen we don’t just accept difference—we celebrate it, we support it, and we embrace it for the benefit of our employees, our partners, and our community. We are committed to equal employment opportunity and diversity.
About the Role
This leadership role oversees two distinct but highly related teams: Data Science and Engineering and Data Engineering.
The Data Science and Engineering team researches and operationalizes machine learning models of many types (clustering, time series, image, natural language…) across a broad range of challenges (forecasting, performance optimization, correlation…). This team is key to delivering the software-facilitated business insights and recommendations and automated performance optimizations that elevate marketers to achieve more than they ever could hope to on their own.
The Data Engineering team provide the big data processing capabilities backing all of New Engen’s business: data science, analytics, reporting, and application needs. Leveraging a combination of AWS service offerings, open source frameworks, and brilliant coding, this team ingests data from many sources (internal and external), works out the best way to structure and store this data, and delivers scalable and performant interfaces serving all facets of the business – from historical needs to near-real-time data.
We'd love to hear from you if
You believe a healthy culture is a must, have positive energy, and don’t have an ego
You want to have a large impact on a number of business fronts through your expertise in machine learning and data architecture
You can recognize long-terms needs and develop strategies while delivering value incrementally
You can communicate data/data science concepts effectively at every level – from CEO to individuals in various disciplines.
You are passionate about mentoring people and giving authentic feedback
You believe standards and best practices improve productivity and quality
People look up to you as a leader and can always count on you to do the right thing for them and the company
You can effectively manage teams to deliver your goals
You have strong experience leading technical discussions and mentoring junior team members
You have strong software architecture experience building back-end services and data pipelines
You have experience developing with: hadoop/spark/hive or another distributed compute platform for big data and large compute tasks
You have experience architecting software to deploy on AWS or another cloud platform
You have experience deploying machine learning or advanced analytical models into a production environment
You have experience with multiple programming languages and can perform code reviews
You have data warehouse or big data storage architecture experience
You have experience working with distributed databases, warehouse systems, and sql/no-sql databases
You have experience working with: fact+dimension data modeling
Extras that Will Give you an Edge
You have experience with Python and Java
You have experience with relevant AWS offerings
You have worked in a SOA/microservices environment building RESTful web services
You have experience working with Atlassian development tools