• Take accountability for projects owned by self and team and be the primary point of contact for internal and external stakeholders for projects
• A passion for data science and a proactive approach to continuously identify and drive efficiencies and improvements in the team
• Define, build, and present models to C-suite executives in industries ranging from automotive to startup
• Ingest, manipulate, and model large datasets using supervised and unsupervised machine learning techniques to help define the structure of the customer base
• Produce prototypes, POCs, APIs, and production grade ML solutions to drive business objectives and outcomes

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• Demonstrated aptitude to lead and develop people
• Strong influencing skills to ensure internal and external stakeholders adopt the optimal DSA solution
• Experience leading, mentoring, and developing data scientists
• High fluency with SQL on one or more of the following databases - Hive, PostgreSQL, Oracle, SQL Server, MySQL
• Fluency with scripting (Python, Bash, etc.)
• Experience with statistical programming languages/packages (R, SAS, Scipy/Numpy/Scikit-learn)
• Familiar with Unix/Linux systems and command-line interfaces and editors
• Familiar with the AWS ecosystem
• Comfortable working with the Hadoop ecosystem (Spark, MapReduce, Hive, YARN)
• Experience with supervised learning and unsupervised clustering algorithms and their application to large data sets
• Experience loading, cleansing, and analyzing very large datasets
• Provide strong guidance on DSA project objectives
• Independently manage relationships with internal and external parties on projects
• Produce presentational materials for internal and external parties on DSA aspects of projects
  
  

Nice to haves

• Some experience with interactive visualization of data in Shiny, D3 or Dash
• Specific experience with the following programming languages: Scala, Apache Spark
• Some applied experience with ANN frameworks like: Tensorflow, Keras, Torch, Mxnet, etc.

We believe in inclusivity and do our best work when people with diverse perspectives, backgrounds and skills
are brought together. Our Core Values are at the root of GALE’s collaborative environment and help to foster a strong community. 

Our Code of Conduct, Human Resources policies and executive investment in inclusion further support and protect GALE’s inclusive workplace.

We want you to be just as discerning in making your next career move as we are finding great talent to join our team. Our interview process generally consists of the following stages to allow you to meet a range of people from various disciplines and domains. You will be assessed at each stage before being invited to move to the next.

• Phone screen with a member of our Talent Acquisition Team
• Interview with the Hiring Manager, who will generally be your manager
• Where relevant for the role, a technical aptitude test (e.g. for domains in technology, data science, etc.)
• Interview with a member of our team from a different Department than yours
• Interview with a member of our Leadership Team

Please discuss with our recruiters if you require any accommodations throughout the process to help enable a smooth interview (e.g. accessibility in terms of location, timing, method, etc.)