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Work180

Senior Data Scientist

Work180, Austin, Texas, us, 78716


If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the

Accommodation Request

form

. This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application.Senior Data ScientistAre you excited by the opportunity to pioneer the future of travel? Do you want to redefine the way people plan, search for, and book their travel? At Expedia Group, we believe that travel brings the world together, and we are passionate about

endless

possibilities.This role is

a great opportunity

to join our global Product Analytics and Experimentation team where we are user experience optimization obsessed!

The Shop and Book Product Analytics team focuses on using the power of data to improve the customer experience throughout the Shopping path on all Expedia Brands. A role working cross-functionally to deliver

great features

to our customers on the Expedia brands.This will be a senior-level individual contributor role where

you will partner with

various teams in product, data, engineering, strategy,

finance

and other

analytic

s teams

to understand and improve performance of our products.

Examples include

optimizing

our experimentation strategy

,

identifying

new

success measures

, sizing

opportunities

and us

ing

advanced analytics methods to drive new test hypotheses.What you will doA

pply your

expertise

in quantitative analysis, data mining,

ML programming,

data visualization with a goal of improving customer experienceOwn end to end process in designing and running

complex

experiments (A/B tests

,

Pre-Post,

I

nterleaving

)

,

proactively

s

ee opportunities and recommend new feature

s

for test

and learnC

ollaborat

e

across

t

he analytics community

to define how we embed

new metrics

and methodologies

into our experimentation cultureL

ead key

strategic projects within the shopping experience

to support

goal setting, opportunity sizing, product performance review and

ultimately

2025

EG product strategyWork with multiple stakeholders, manage product analytics projects, and

operate

within a community of analysts, sharing findings, wins and methodologiesAs the most senior individual contributor in the team, r

ai

se

the bar in prescriptive and predictive insights across

product analytics, leading by examples and coaching more junior analystsInfluence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear and concise narrative

, p

resent clearly and engagingly,

anticipating

questionsWho you areExcellent logical thinking,

a very strong

background (Bachelor’s/

Master’s

degree) in a quantitative field such as mathematics,

statistics,

physics, engineering, operations research, data science or similar and 6+ years of experience in industry or equivalentExpert with Python, Scala or R, or any other major machine learning programminglanguageExpert in statistical analysis and experimentation,

segmentation

, computational systems, optimization techniques

and interpretation of

machine learning models such as propensity modelling and forecasting techniquesHigh performing and influential individual contributor who leads by example while continuing to mentor junior data scientists, interfaces consistently with product & tech leadership, leads complex and vaguely defined projects, a

n

d stretches into team leadership skillsCreative and analytical in thinking with a love for data, to both disagree with and convince senior partners backed by dataExcellent verbal, written and data visualization skillsAbility to

manage projects with

different functions

(product, strategy, engineering, etc.),

prioritize among conflicting demands and be comfortable with ambiguityIf you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the

Accommodation Request

form

. This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application.Senior Data ScientistAre you excited by the opportunity to pioneer the future of travel? Do you want to redefine the way people plan, search for, and book their travel? At Expedia Group, we believe that travel brings the world together, and we are passionate about

endless

possibilities.This role is

a great opportunity

to join our global Product Analytics and Experimentation team where we are user experience optimization obsessed!

The Shop and Book Product Analytics team focuses on using the power of data to improve the customer experience throughout the Shopping path on all Expedia Brands. A role working cross-functionally to deliver

great features

to our customers on the Expedia brands.This will be a senior-level individual contributor role where

you will partner with

various teams in product, data, engineering, strategy,

finance

and other

analytic

s teams

to understand and improve performance of our products.

Examples include

optimizing

our experimentation strategy

,

identifying

new

success measures

, sizing

opportunities

and us

ing

advanced analytics methods to drive new test hypotheses.What you will doA

pply your

expertise

in quantitative analysis, data mining,

ML programming,

data visualization with a goal of improving customer experience

Own end to end process in designing and running

complex

experiments (A/B tests

,

Pre-Post,

I

nterleaving

)

,

proactively

s

ee opportunities and recommend new feature

s

for test

and learn

C

ollaborat

e

across

t

he analytics community

to define how we embed

new metrics

and methodologies

into our experimentation culture

L

ead key

strategic projects within the shopping experience

to support

goal setting, opportunity sizing, product performance review and

ultimately

2025

EG product strategy

Work with multiple stakeholders, manage product analytics projects, and

operate

within a community of analysts, sharing findings, wins and methodologies

As the most senior individual contributor in the team, r

ai

se

the bar in prescriptive and predictive insights across

product analytics, leading by examples and coaching more junior analysts

Influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear and concise narrative

, p

resent clearly and engagingly,

anticipating

questions

Who you areExcellent logical thinking,

a very strong

background (Bachelor’s/

Master’s

degree) in a quantitative field such as mathematics,

statistics,

physics, engineering, operations research, data science or similar and 6+ years of experience in industry or equivalent

Expert with Python, Scala or R, or any other major machine learning programminglanguage

Expert in statistical analysis and experimentation,

segmentation

, computational systems, optimization techniques

and interpretation of

machine learning models such as propensity modelling and forecasting techniques

High performing and influential individual contributor who leads by example while continuing to mentor junior data scientists, interfaces consistently with product & tech leadership, leads complex and vaguely defined projects, a

n

d stretches into team leadership skills

Creative and analytical in thinking with a love for data, to both disagree with and convince senior partners backed by data

Excellent verbal, written and data visualization skills

Ability to

manage projects with

different functions

(product, strategy, engineering, etc.),

prioritize among conflicting demands and be comfortable with ambiguity

The total cash range for this position in Austin is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.Expedia Group is proud to offer a wide range of benefits to support employees and their families, including

medical/dental/vision,

paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.

View our full list of benefits

.About Expedia GroupExpedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia

Cruises.2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is

careers.expediagroup.com/jobs

.Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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