Data Engineer - Supervising Associate

Job description

Job Summary:

The Data Engineer will join a growing team of analytics experts responsible for expanding and optimizing data, data infrastructure, processing and wrangling.

The position will be responsible for applying data engineering skills along with data science knowledge to solve business problems. It would involve designing, developing, validating, scaling, and optimizing analytics solutions. The role would extend to apply machine learning techniques to further scale and optimize the solutions. They will work to enrich the user experience of digital products and drive efficiencies.

With a strong data analysis background, the role will manipulate large data sets (structured and unstructured); develop, train and evaluate ML models (includes NLP).  They will design and implement scalable architectures and be able to develop endpoints/API where needed to expose models.

The outputs of this position leads to insights that support product development decision-making, along with ideas to automate,innovate, and enhance digital products.

 
Essential functions of the job:

·  Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.
·  Performing hands-on software and strategy development, typically spending most of the time problem solving, algorithm development (actually writing code, doing proof of concepts and conducting code reviews)
·  Developing deep understanding of integrations with other systems and platforms within the supported domains.
·  Working with technical product managers contributing to blueprints, and assisting needs and predicting of feature sets
·  Quickly generate and updating prototypes from concept to testing while soliciting feedback
·  Finalizing prototypes into functional ML components and deploy on our cloud platform
·  Embrace emerging standards and promoting best practices

 
Skills:

·  Strong interpersonal and communication skills; ability to work as a team player or independently are required.
·  Must be a proactive and solution-oriented problem solver
·  Ability to undertake multi-projects
·  Ability to bridge gaps between “domain” language (engineering, science) and “computing solution” language
·  Customer focused
·  Proven ability to embrace and drive change
·  Clear dedication to excellence and advancing beyond the current state
·  Strong personal motivation

 

 

 

 

Technical Requirements:
·  Expert in machine learning
·  Familiarity with Azure Machine Learning environment
·  5 – 6 years of Data Analytics experience
·  2-3 years programming in R/ Python/Java/ C++ and others to implement Machine Learning Algorithms
·  Software design
·  Data storage including distributed systems
·  Data querying

 
Supervision Responsibilities:

·   Works with a geographically dispersed team, highly self-motivated, able to work independently
·  Ability to complete multiple medium-sized projects and work with project teams
·  Directs junior team members as needed
·  Able to meet deadlines independently

 

Job Requirements:

Education:

·  Bachelor degree in computer science, computer engineering or STEM subjects
·  Master degree in computer science, computer engineering or STEM subjects

Experience:

2 years minimum of relevant experience in a professional machine learning role

Ideally, experience in digital products and analytics program in a large organization is an advantage