- Role - Principal Data Scientist

Remote:
Job Duties:

Required Qualifications:

• PhD degree in a quantitative field including but not limited to data science, physics, computer science, math, engineering, and statistics and 7 years of data science experience (Or Master’s Degree with 10 years’ experience).:

• Able to work with large data sets from multiple data sources (text, speech, images, structured, unstructured).

• 10 years of programming experience in statistical software (for example Python, R, or SAS) and able to demonstrate proficiency at an expert level. At least 3 years’ experience with Python within the last 5 years.

• Optimization and Simulation experience

• Able to build or support the building of business cases related to data science related projects.

• Enjoys working collaboratively with other data scientists and multiple stakeholders across the business unit and with external partners.

• Confident in creating and communicating standards and best practices for data science projects and deliverables including setting project reviews and general quality assurance practices to review the work of more junior data scientists.

• Adept at effectively solving complex problems by breaking them down into logical steps and communicating results in a concise way to Senior Executives and able to defend/debate the results of the analyses.

• Intellectual curiosity, a passion for data and a results orientation.

• Experience working in large and complex projects using common project management methodologies e.g., Agile, Waterfall, Six Sigma, Lean

• Enjoys mentoring, training and coaching other data scientists and analysts

• Experience in two or more of manufacturing, retail operations, new product development, supply chain or marketing research (incl. digital media, subscription packages, market analysis).

• Prior experience leading/working on large scope/macro initiatives or research such as those impacting broader sustainability/environmental and societal factors e.g., green procurement, reducing emissions, waste reduction

• Able to work with large data sets from multiple data sources (text, speech, images, structured, unstructured).

Preferred Qualifications:

• Experience in software development processes including Dev/QA/prod, release cycles, Continuous Improvement/ Continuous Development, source control, code reviews etc.

• Experience in IoT and streaming data analytics

• Expertise in Machine Learning in auto or related industries (incl. image, speech, pattern recognition & anomaly detection) – SciKit-Learn, TensorFlow or PyTorch, Pandas, NumPy

• Expertise operating and deploying models in cloud environments e.g., AWS, Azure, collaborating with IT, Data Engineers, ML Engineers.

• Experience with distributed computing (Spark/MLLib)