AI Research Lab - Data Scientist (Open Rank)

29 Jun 2024

Vacancy expired!

Job Description:

The AI Research Labs is research-based, user-obsessed, and technology enabled so that we can create meaningful learning solutions to serve users in K-12, Higher Education, the Workforce, and the Language Learning ecosystem. The Mission of the Labs is to advance educational and employment opportunity by providing tools and services that help individuals worldwide identify, efficiently progress toward, and meet their learning and career goals. We seek to lead the EdTech field in the delivery of efficacious learning tools that are built with users, backed by science, and offer efficiency, flexibility, and insights that support meaningful decision-making along education and workforce journeys. We execute on the values of equity, opportunity, quality, and agility. We practice these values by building self-organizing teams of diverse perspectives, co-designing meaningful solutions with educators, learners, parents, employers, and jobseekers worldwide, regularly measuring impact, and continually improving. ETS's Research & Development division is seekingacreative and innovativeData Scientistto join theResearch Laboratory.TheData Scientistwill join a team ofresearchscientists, engineers,user research specialists,and product owners in theagile development of market-responsive adaptive and personalized capabilities, prototypes, and product concepts.

Position Summary: The successfulData Scientistcandidate will (a)identify valuable data points that together construct a user data footprintand ensure they are captured in solutions(b)conduct research and development of statisticalmodels(c)develop and execute analytical and predictive models to derive data-driven insights (d)use advanced data visualization techniques to communicate outcomes and insights(e)work collaboratively with Lab teams to use data-driven insightsto inform solution development and optimization.

Responsibilities:
  • 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.
  • Conduct the preprocessing of structured and unstructured data in small to moderate sized data sets. 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.
  • Lead the research and development of statistical models. Research and development projects may include (1) exploring data sets to discover trends and patterns (2) build predictive models leveraging approaches appropriate for a given dataset (3) develop new methods for uncovering trends (4) combining models through ensemble modeling.
  • Implement data visualization techniques to communicate results and ideas to key decision makers.
  • Make and enable data driven insights and recommendations within the team to improve solution implementation and optimization.
  • Collaborate closely with engineers and developers to support the interpretation and implementation of data insights.
  • Follow all QA, documentation, and code archive processes. Suggest optimizations to that process were appropriate.

Experience and Skills

Education, Certifications, or Special Licenses:
  • At the Associate and Data Scientist level abachelor'sdegree inComputer Science, Engineering, Educational Technology, Statistics or a related fieldisrequired; agraduatedegreepreferred.
  • At the Senior and PrincipalData Scientist level amaster'sdegree in Computer Science, Engineering, Educational Technology, Statistics or a related field is required.

Relevant Years of Experience:
  • At the Associate level, at least one-yearproven experience in data analytics, data mining and machine learning.At least one-year proven use of data frameworks and BI tools.
  • At the Data Scientist level, at least four years of progressively independent experience in data analytics, data mining, predictive modeling, and experience using R, SQL, and/or Python. At least four years of progressively independent experience using data visualization techniques to communicate insights to decision makers and support the implementation of those insights.
  • At the Senior level, at least eight years of progressively independent experience in data analytics, data mining, predictive modeling, and experience using R, SQL, and/or Python.At least eight years of progressively independent experience using data visualization techniques to communicate insights to decision makers and support the implementation of those insights
  • At the Principal level, twelve years of progressively independent experience in data analytics, data mining, predictive modeling, machine learning with educational technology tools. Demonstrated experience communicating methods, models, and processes externally and contributing to the broader field of data science. At least four years at the senior level and evidence of mentoring and developing more junior staff is required.

Other Requirements:
  • Experience using insights from data science to inform product or program development and/or optimization.
  • Proficiency in R, SQL, and/or Python.
  • Proficiency in data visualization tools like Tableau
  • Proficiency in data frameworks like Hadoop
#DICE

COVID-19 Requirements:

ETS requires all new hires to either certify that they have been fully vaccinated or request and obtain an exemption due to medical or religious reasons by their start date.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

  • ID: #43690238
  • State: New Jersey Princeton 08541 Princeton USA
  • City: Princeton
  • Salary: USD TBD TBD
  • Job type: Permanent
  • Showed: 2022-06-29
  • Deadline: 2022-08-27
  • Category: Et cetera