Data Scientist, Decisions

Lyft

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Knowledge Scientist, Selections

At Lyft, our mission is to enhance individuals’s lives with the world’s finest transportation. To do that, we begin with our personal group by creating an open, inclusive, and various group.

The Market workforce at Lyft is answerable for accelerating the expansion of the enterprise and for delivering our prime enterprise/firm objectives round monetary metrics and market efficiency. The workforce supplies evaluation and use instances to help Product groups, construct automated tooling, and handle development investments. 

We’re on the lookout for a Knowledge Scientist to hitch the Central Market Administration workforce to assist form Lyft’s merchandise and decision-making.  You’ll work with cross-functional stakeholders to investigate and enhance product and knowledge efficiency whereas getting a ton of government publicity alongside the way in which.  You’ll establish our market’s most important aggressive gaps and develop frameworks and pipelines to handle them. We’re on the lookout for an intellectually curious particular person who has extraordinary consideration to element, a monitor document of analytical problem-solving and expert communication.

You’ll report back to a Knowledge Science Supervisor.

Obligations:

  • Leverage knowledge to construct analytic frameworks to establish alternatives for development and effectivity 
  • Companion with product managers, engineers, and operators to translate analytical insights into choices and motion
  • Determine traits and patterns in aggressive knowledge to tell enterprise choices
  • Construct knowledge pipelines and develop analytical frameworks to watch enterprise and product efficiency
  • Set up metrics that measure the aggressive well being of our merchandise, in addition to rider and driver expertise
  • Collaborate with product and engineering and talk findings to stakeholders in a transparent and concise method

Expertise:

  • Diploma in a quantitative area reminiscent of statistics, economics, utilized math, operations analysis or engineering (superior levels most popular), or related work expertise
  • 3+ years of trade expertise in an information science or analytics position
  • Proficiency in SQL – capable of write structured and environment friendly queries on massive knowledge units
  • Expertise in programming, particularly with knowledge science and visualization libraries in Python or R
  • Sturdy oral and written communication abilities, and skill to collaborate with and affect cross-functional companions 

Advantages:

  • Prolonged well being and dental protection choices, together with life insurance coverage and incapacity advantages
  • Psychological well being advantages
  • Household constructing advantages
  • Entry to a Well being Care Financial savings Account
  • Along with provincial noticed holidays, workforce members get 15 days paid day off, with an extra day for every year of service 
  • 4 Floating Holidays every calendar yr prorated based mostly off of date of rent
  • 10 paid sick days per yr no matter province
  • 18 weeks of paid parental go away. Organic, adoptive, and foster mother and father are all eligible

Lyft proudly pursues and hires a various workforce. Lyft believes that each particular person has a proper to equal employment alternatives with out discrimination due to race, ancestry, fatherland, colour, ethnic origin, citizenship, creed, intercourse, sexual orientation, gender id, gender expression, age, marital standing, household standing, incapacity, pardoned document of offenses, or every other foundation protected by relevant regulation or by Firm coverage.  Lyft additionally strives for a wholesome and protected office and strictly prohibits harassment of any sort.  Lodging for individuals with disabilities might be supplied upon request in accordance with relevant regulation in the course of the software and hiring course of.  Please contact your recruiter now in the event you want to make such a request.

This position might be in-office on a hybrid schedule following the institution of a Lyft workplace in Toronto — Workforce Members might be anticipated to work within the workplace 3 days per week on Mondays, Thursdays and a team-specific third day. Moreover, hybrid roles have the pliability to work from wherever for as much as 4 weeks per yr.

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