[edm-announce] Pearson Data Scientist Position

From: Stephen Fancsali <sfancsali@xxxxxxxxx>
To: edm-announce@xxxxxxxxxxxxx
Date: Mon, 9 Mar 2015 16:27:35 -0400
[on behalf of Brett van de Sande]

Our group is looking for a highly motivated, self-driven data scientist to
join
our Data Analytics and Adaptive Learning team. Members of the team have the
opportunity to work with some of the largest education datasets in the
world gathered through Pearson’s online learning products.

Go to http://pearson.jobs and search for "Data/ Research Scientist"

If you have any questions about this position, please feel free to contact
me. The full job announcement is shown below.

Brett van de Sande


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Data/ Research Scientist in Centennial Colorado United States

Overview

Pearson has one defining goal: to help people progress in their lives
through learning. We champion innovation and we invest in models for
education that deliver on our promise for effective, accessible, and
personal learning from early literacy, college and career readiness to
professional education, through data informed instruction and inventive
applications for mobile and digital learning.

Pearson, the world's leading learning company, has global-reach and market
leading businesses in education, business, and consumer publishing and is
listed on the London and New York stock exchanges (UK: PSON; NYSE: PSO).
For more information, visit www.pearson.com.

Pearson is an Equal Opportunity and Affirmative Action Employer, and a
member of E-Verify. All qualified applicants, including minorities, women,
veterans, and people with disabilities are encouraged to apply.

Responsibilities

We are looking for a highly motivated, self-driven data scientist to join
our Data Analytics and Adaptive Learning team. Members of the team have the
opportunity to work with some of the largest education datasets in the
world gathered through Pearson’s online learning products. The core mission
of the Analytics and Adaptive Learning team is the extraction of actionable
information from the data to improve Pearson products and learning content;
thus, the position provides the opportunity to engage in cutting-edge
research and to make a substantial contribution to learning and instruction.

Responsibilities:

Develop robust statistical models and learning algorithms to extract valid
inferences about students’ learning from unstructured data.

Design metrics and corresponding data collection algorithms that capture
relevant user behavior to enhance both content and overall learning
experience.

Communicate research findings through internal reports, journal papers.
executive summaries.

Build functional proofs of concept.

Qualifications

Profound knowledge of working with data: data structures, data
representation, data cleaning, data governance, and research database
design. Experience with educational data is a plus.

Research: deep understanding, experience and demonstrated success (peer
review process, publications, conference talks).

Excellent communication skills. Ability to create a compelling and faithful
story based on research findings and methodology, for any audience level.

Interest in human cognition, teaching and learning is a must.

Experience with modern data mining techniques and technologies, e.g.
probabilistic models, machine learning, Natural Language Processing, model
design in general, visualization. Experience with SQL and relational
databases is a plus.

Fluency in using scientific computing tools like R, numpy/scipy or an
equivalent.

Programming experience strongly preferred.

Exceptional problem solving skills, ability to quickly learn new concepts
and methodologies as needed.

Familiarity with the mathematical and numerical issues in algorithm
development.

Deep understanding of statistics and probability.

Demonstrated ability to work on high impact problems in a collaborative
environment.

A Masters degree (PhD preferred) in a quantitative field

Job ID: 2015-30523
Position Type: Regular Full Time
Category: Professional Development
[edm-announce] Pearson Data Scientist Position

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