Data Scientist, Decisions

Lyft

jobsincanada.one

Information Scientist, Selections

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

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

We’re searching for a Information 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 information efficiency whereas getting a ton of govt publicity alongside the best way.  You’ll determine our market’s most crucial aggressive gaps and develop frameworks and pipelines to deal with them. We’re searching for an intellectually curious particular person who has extraordinary consideration to element, a monitor report of analytical problem-solving and expert communication.

You’ll report back to a Information Science Supervisor.

Duties:

  • Leverage information to construct analytic frameworks to determine alternatives for development and effectivity 
  • Associate with product managers, engineers, and operators to translate analytical insights into choices and motion
  • Determine tendencies and patterns in aggressive information to tell enterprise choices
  • Construct information 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 subject comparable to statistics, economics, utilized math, operations analysis or engineering (superior levels most popular), or related work expertise
  • 3+ years of trade expertise in a knowledge science or analytics position
  • Proficiency in SQL – capable of write structured and environment friendly queries on giant information units
  • Expertise in programming, particularly with information science and visualization libraries in Python or R
  • Robust oral and written communication abilities, and talent 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 without work, with a further day for annually of service 
  • 4 Floating Holidays every calendar 12 months prorated primarily based off of date of rent
  • 10 paid sick days per 12 months no matter province
  • 18 weeks of paid parental depart. Organic, adoptive, and foster mother and father are all eligible

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

This position shall be in-office on a hybrid schedule following the institution of a Lyft workplace in Toronto — Staff Members shall 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 flexibleness to work from wherever for as much as 4 weeks per 12 months.

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