At the Senior and Principal?Data Scientist level a?masters?degree in Computer Science, Engineering, Educational Technology,Statisticsor a related field is required.?.
At the Associate and Data Scientist level a?bachelors?degree in?Computer Science, Engineering, Educational Technology,Statisticsor a related field?is?required a?graduate?degree?preferred.?.Suggest optimizations to that process were appropriate.?Įducation, Certifications, or Special Licenses: Follow all QA, documentation, and code archive processes.Collaborate closely with engineers and developers to support the interpretation and implementation of data insights.?.Make and enable data driveninsights andrecommendationswithin the teamto improve solution implementationand optimization.Implement data visualization techniques to communicate results and ideas to key decision makers.?.Research and development projects may include (1) exploring data sets to discover trends and patterns (2) build predictive modelsleveraging approaches appropriate fora given dataset(3) develop new methods for uncovering trends (4) combining models through ensemble modeling.?
Lead the research and development of statistical models. Preprocessing of data may include (1) data cleaning (a) missing data (b) noisy data (2) data transformation (a) normalization (b) attribute selection (c) discretization (d) concept hierarchy generation (3) data reduction (a) aggregation (b) subset selection (c) numerosity and dimensionality reduction.? Conduct the preprocessing of structured and unstructured data in small to moderate sized data sets. 
Develop and build user data footprints within discrete teaching, training, learning, and assessment solutions.?Aligned projects may include (1) data architecture development (2) identification of value engagement, usage, progression, and performance data points (3) automation of collection processes.?. The successful?Data Scientist?candidate will (a)?identify valuable data points that together construct a user data footprint?and ensure they are captured in solutions?(b)?conduct research and development of statistical?models?(c)?develop and executeanalytical and predictivemodelsto derive data-driven insights(d)?use advanced data visualization techniques to communicate outcomes and insights?(e)?work collaboratively with Lab teams to usedata-driveninsights?to inform solution development and optimization.? ETSs Research & Development division is seeking?a?creative and innovative?Data Scientist?to join the?Research Laboratory.?The?Data Scientist?will join a team of?research?scientists, engineers,?user research specialists,?and product owners in the?agile development of market-responsive adaptive and personalized capabilities, prototypes, and product concepts.?
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