Data Scientist Intern - Seattle
Company: Qualtrics
Location: Seattle
Posted on: May 4, 2024
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Job Description:
At Qualtrics, we create software the world's best brands use to
deliver exceptional frontline experiences, build high-performing
teams, and design products people love. But we are more than a
platform-we are the creators and stewards of the Experience
Management category, serving over 18K clients globally. Building a
category takes grit, determination, and a disdain for
convention-but most of all it requires close-knit, high-functioning
teams with an unwavering dedication to serving our customers.
When you join one of our teams, you'll be part of a nimble group
that's empowered to set aggressive goals and move fast to achieve
them. Strategic risks are encouraged and complex problems are
solved together, by passing the mic and iterating until the best
solution comes to light. You won't have to look to find growth
opportunities-ready or not, they'll find you. From retail to
government to healthcare, we're on a mission to bring humanity,
connection, and empathy back to business. Join over 6,000 people
across the globe who think that's work worth doing.
Data Science Intern - Seattle, Washington
Why We Have This Role
As a Data Scientist on the Products, eXperience, and Engineering
(PXE) Analytics & Data Science Team, you will bring the power of
our data to Qualtrics itself. You will be part of the core
analytics and data science team, helping to measure our product and
analyze our own product data to build and grow a deeply impactful
XM product line and platform.
How You'll Find Success
Your analytics will strategically advance how Qualtrics ideates,
builds, measures, and improves its products. You will use your
quantitative skills to analyze disparate product clickstream, state
and customer feedback data sources (e.g., NPS, Social Media,
Call/Case Volumes, Product feedback) to present comprehensive views
of customer and product experience. You will work across the data
science stack building tools, visualizations, and predictive
models, looking for opportunities to improve the experience of
using XM.
How You'll Grow
Design, develop, and program methods, processes, and systems to
consolidate and analyze structured and unstructured, diverse "big
data" sources to generate actionable insights and solutions to
support our own programs and XM platform product enhancement.
Interacts with diverse stakeholders, such as Product Leadership,
Program Management, Engineering, Design, and User Research, to
identify questions and issues for data analysis and
experiments.
Develops and codes software programs, algorithms, and automated
processes to cleanse, integrate, and evaluate large datasets from
multiple disparate sources.
Identifies meaningful insights from large data and metadata
sources; interprets and communicates insights and findings from
analysis and experiments.
Develops tools and datasets to democratize insights from our
product data across the organization.
Be an internal leader in basic statistics, including descriptive
statistics, correlation, and regression, and help product teams
develop statistical tools for our customers.
Things You'll Do
You are a big data junkie, and you tell stories with big data and
can demonstrate how you have used data to change thoughts about how
things work. You love growing technically and experimenting with
new data science tools and methodologies. You care about
understanding the customer and want to impact better customer
experiences that align strategically with business goals. You want
to join a dynamic, rapidly scaling organization. You know how to
mine data and turn it into measurable outputs that push
understanding and action.
What We're Looking For On Your Resume
Pursuing BA/BS in Economics, Finance, Management, Marketing,
Physics, Math, Statistics, Social Science, or any related
field.
Strong quantitative analytical skills; with competence in
techniques spanning supervised and unsupervised learning and
descriptive and inferential statistics.
Fluent in either Python or R, able to query data using SQL, has
experience working with cloud based computing platforms and big
data tools.
Experience in data mining, advanced data manipulation, machine
learning and statistical analysis.
Experience with data visualization and communication projects using
software like Tableau or Amplitude.
Strong verbal and written communication skills to present analysis
and insights, including trends and opportunities, to stakeholders
and the business.
High standard of detail, excellence, professionalism, and role
model behavior.
What You Should Know About This Team
We love turning data into insights or multiplying the impact of
data across the company by developing research, analysis or
analytics products. We thrive when people take action on the
insights we provide or enable. We understand the importance of
mining our data to provide input to our case studies and
suggestions for improvements to our products. We work effectively
cross-team and understand the importance of building strong
relationships and earning trust and credibility. Our team has
successfully helped this organization harness the power to tell our
stories with our data.
Our Team's Favorite Perks and Benefits
Relocation and financial support for housing.
ExeQtive Chats connect you with our executive team through Q&As
and discussions about their career journeys.
You'll have opportunities to develop professional skills & learn
more about career opportunities though business-specific learning
sessions.
You'll be assigned a mentor on day one. They'll be a great resource
to get advice or direction on your project as well as your personal
development and career path.
Seattle employees enjoy commuter benefits, weekday catered lunches,
and access to the Qualtrics Tower fitness center.
Must be legally authorized to work in job location without
Qualtrics sponsorship now or in the future.
The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly
simple: we all gather in the office three days a week; Mondays and
Thursdays, plus one day selected by your organizational leader.
These purposeful in-person days in thoughtfully designed offices
help us do our best work and harness the power of collaboration and
innovation. For the rest of the week, work where you want, owning
the integration of work and life.
Qualtrics is an equal opportunity employer meaning that all
qualified applicants will receive consideration for employment
without regard to race, color, religion, sex, sexual orientation,
gender identity, national origin, disability, status as a protected
veteran, or any other protected characteristic.
---------------------Applicants in the United States of America
have rights under Federal Employment Laws:Family & Medical Leave
Act (https://www.dol.gov/agencies/whd/posters/fmla) ,Equal
Opportunity Employment (https://www.eeoc.gov/poster) ,Employee
Polygraph Protection Act
(https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act)
Qualtrics is committed to the inclusion of all qualified
individuals. As part of this commitment, Qualtrics will ensure that
persons with disabilities are provided with reasonable
accommodations. If reasonable accommodation is needed to
participate in the job application or interview process, to perform
essential job functions, and/or to receive other benefits and
privileges of employment, please let your Qualtrics
contact/recruiter know.
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month max with fresh, totally tailored info - so be sure to stay
connected as you explore your best role and company fit.
For full-time positions, this pay range is for base per year;
however, base pay offered may vary depending on location,
job-related knowledge, education, skills, and experience. For
part-time or intern positions, this pay range is for base pay per
hour. A sign-on bonus and restricted stock units may be included in
an employment offer, in addition to a range of medical, financial,
and other benefits, based on eligibility criteria.
Washington State Pay Transparency Range
$43,000-$72,000 USD
Keywords: Qualtrics, Kirkland , Data Scientist Intern - Seattle, Other , Seattle, Washington
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