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Professional Services, Customer Experience Scientist
Medallia San Francisco, CA
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$117k-145k (estimate)
Full Time 5 Days Ago
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Medallia is Hiring a Professional Services, Customer Experience Scientist Near San Francisco, CA

**Professional Services, Customer Experience Scientist**

**Location : San Francisco, CA | Team: Professional Services Insights**

**Role Type: Full-Time Employee (Individual)**

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the understanding and management of experience for candidates, customers, employees, patients, citizens and residents.

We are more than a software company. We want to be known as a company that does the right thing, no matter the challenge or controversy. We are committed to creating a culture that values every person and every experience. Individual life experiences shape the way we interact with the world, which is why we encourage people to bring their whole selves to work each day. The strength of our global workforce is the most significant contributor to our success.

We believe: Every Experience Matters. Talent is Everywhere. All Belong Here.

At Medallia, we hire the whole person.

**The Team:** The Medallia Strategy & Analytics Team (MSAT) is a first-of-its-kind experience management consulting team. Its role is to help our customers realize the value of their investments with Medallia by uncovering data-driven insights and stories to inform their XM and program strategy and maximize its ROI. MSAT is a global, high-performing team. Today, the team is staffed by a cross-discipline team of sharp problem solvers, who are located in San Francisco, Chicago, Virginia, New York, London, and Munich. They have a mix of MBA, Ph.D., and BS/MS in quantitative/research disciplines. As a Customer Experience Scientist on our team, you will work with insights and data science teams at admired brands on a mission-critical taskhelping companies improve in the eyes of their ultimate judges: customers and employees. **Responsibilities:**

* * Design applied analytical models (i.e., linkage, predictive, prescriptive, and clustering models) based on structured and unstructured data to help customers generate actionable, replicable insights that drive business outcomes.

* Translate results of analyses into easy-to-understand, actionable insights. Contribute to data-driven business and CX/EX program recommendations.

* Act as a trusted advisor to client data science teams on analytics strategy and statistical testing. Effectively explain technical concepts at all levels in the organization, including senior leaders/stakeholders.

* Effectively lead unstructured Q&A on methods/statistics.

* Contribute to team and cross-functional initiatives related to process improvement, tools development, analytical methodology, onboarding, etc.

* Keep abreast of new and current statistical methodologies, machine learning, and data wrangling techniques. Innovates on statistical modeling to develop new offerings and/or approaches. Contribute to analytics thought leadership (white papers and client roundtables)

**Required Qualifications:**

* * Masters degree in quantitative/research field and 4 years of work experience

* Critical thinking and problem-solving skills.

* Ability to choose and apply practical and rigorous analytical methods to solve clients business problems.

* In-depth knowledge of statistical concepts, methods, and current literature on parametrical and non-parametrical tests, sampling, experimental and quasi-experimental designs

* Data analysis and statistical modeling skills:

* Experience manipulating and analyzing structured and unstructured data from different sources using R and/or Python

* Experience in applying regression modeling and predictive analytics, and experimental designs (A/B testing)Ability to explain complex methodological approaches and translate results into simple terms, e.g. for non-technical audiences

* Effectively communicate methodological approaches and their advantages and disadvantages to technical audiences (e.g. data scientists)

* Experience leading projects and project teams

* Experience partnering with cross-functional teams

**Preferred Qualifications:**

* * Ph.D. in a quantitative/research field and 2 years of work experience

* Experience leading projects and project teams in a client-facing role

* Experience applying time series analysis, cluster analysis, additional advanced modeling approaches, ML

* Ability to translate complex statistical results into business implications to provide actionable insights to clients.

* Understand key client needs across verticals and recommend the best analytical methods to provide insights

At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is proud to be an equal opportunity workplace and is an affirmative action employer. Equal opportunity is afforded to all qualified applicants and employees. We do not discriminate on the basis of gender identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, Veteran status, sexual orientation, and any other protected category. We also consider all qualified applicants regardless of criminal histories, consistent with legal requirements.

Medallia is committed to working with and providing reasonable accommodation to applicants with disabilities in accordance with the American Disabilities Act and local disability laws.

For information regarding how Medallia collects and uses personal information, please review our .

Job Summary

JOB TYPE

Full Time

SALARY

$117k-145k (estimate)

POST DATE

04/22/2024

EXPIRATION DATE

05/07/2024

WEBSITE

medallia.com

HEADQUARTERS

SAN FRANCISCO, CA

SIZE

1,000 - 3,000

FOUNDED

2001

TYPE

Public

CEO

LESLIE J STRETCH

REVENUE

$200M - $500M

INDUSTRY

Software & Cloud Computing

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About Medallia

Medallia is a California-based SaaS platform that offers solutions including customer feedback management, analytics and messaging for sectors such as automotive and energy.

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