Lyft Deutschlandweit vor 3 Wochen

Senior Data Scientist, Decisions - Risk

Remote möglichQuellanzeige geprüftBewerbung ohne Konto
Jetzt bewerben bei Lyft Sichere Bewerbung über StudySmarter
GEPRÜFTE QUELLE

Aktuelle Original-Stellenanzeige

Quelle: StudySmarter Stellenbestand · Status: aktiv · Bewerbung über das zentrale StudySmarter-Formular.

Aus der Stellenanzeige

Die ganze Ausschreibung von Lyft

Automatisch strukturiert · Originaltext unformatiert geliefert

Das ist der Job

At Lyft, our purpose is to serve and connect.

Darum lohnt es sich

This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. Collaborate with the Claims team to identify high‑impact opportunities where data‑driven interventions can reduce the total cost of claims.

Benefits Great medical, dental, and vision insurance options with additional programs available when enrolled. Mental health benefits. Family building benefits, child care, and pet benefits. 401(k) plan with company match to help save for your future. Subsidized commuter benefits and monthly Lyft credits.

This role will be in‑office on a hybrid schedule: Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Data Science is at the heart of Lyft’s products and decision‑making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions.

Responsibilities Leverage large‑scale data and analytic frameworks to identify high‑impact opportunities to reduce the total cost of claims. Partner with product managers, engineers, actuaries, claims, and operators to translate data insights into decisions and action. Construct and fit statistical, machine learning, or optimization models.

Design and analyze online experiments; communicate results and act on launch decisions. Develop analytical frameworks to monitor business and product performance. Establish metrics that measure the health of our products, the business, as well as the driver experience.

Experience Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience. 5+ years of industry experience in a data science, analytics, or management consulting role.

End‑to‑end experience with data, including querying, aggregation, analysis, and visualization. Ability to manage, influence, negotiate, and inspire others in a fast‑moving environment. Proficiency in SQL and Python. Experience with insurance claims analytics a plus.

Strong oral and written communication skills, and ability to collaborate with cross‑functional partners. Additional paid time off and parental leave as outlined. Complimentary Lyft Pink membership. Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law.

We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in‑office to foster a collaborative work environment and company culture.

Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. #J-18808-Ljbffr

Bereit?

Bewerbung wird direkt an Lyft uebergeben - kein Konto noetig.

Jetzt bewerben
Weitere Stellen bei diesem Arbeitgeber

Lyft hat 1 weitere offene Stelle:

Ähnliche Stellen

Wenn dir dieser Job gefällt, schau dir auch an:

Weiter stöbern:

Kostenfrei starten

Jetzt bewerben