{"id":1601785,"url":"https://alion.io/job/lyft-data-scientist-algorithms-mapping","title":"Data Scientist - Algorithms, Mapping","company":{"id":234,"name":"Lyft","domain":"lyft.com","url":"https://alion.io/company/lyft","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":76,"open_postings":21,"ghost_share":0,"stale_share":0.952,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":121000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Feature Store","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-01T10:49:16Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-16T22:40:28Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.\nAs a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our geospatial, behavioural and mobility data, and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.\nData Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. The Mapping team serves models and systems that determine the most efficient routes, fastest travel estimates and process real-time map data signals to detect traffic, closures and slowdowns. Working with our business and analytics partners, the team owns tools to ensure Lyft offers routes that our users trust. This will involve identifying and scoping opportunities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in Mapping, including:\nHow do we accurately predict acute and chronic traffic conditions?\nHow do we improve the recommendations of our routing algorithms?\nHow do we keep our travel estimation promises to our riders and drivers?\nHow do we benchmark and measure the success of our services?\nResponsibilities:\nOwn the complete lifecycle of algorithmic solutions from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration\nPrioritize and lead deep dives into our data to uncover new product and business opportunities\nPartner closely with Engineering to build and scale production-grade ML systems, real-time inference services, batch pipelines, and feature stores\nDesign, implement, and analyze different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization\nDrive scientific excellence by introducing modern techniques in ML, optimization, reinforcement learning, or graph-based methods to unlock new product capabilities\nEstablish metrics that measure the health of our products, as well as rider and driver experience\nTranslate complex business challenges into concrete algorithmic solutions in close collaboration with Product, Engineering, Operations, and Science teams\nExperience:\nAdvanced degree in a quantitative field such as statistics, physics, economics, operations research, neuroscience, or engineering, or relevant work experience\n3+ years hands-on experience in a data science or machine learning role working with production machine learning models and optimization systems\nPassion for solving unstructured and non-standard mathematical problems\nExperience independently driving multi-project algorithmic scopes and navigating technical ambiguity from ideation to delivery\nExperience with machine learning models in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments\nStrong oral and written communication skills, and ability to collaborate with and influence cross-functional partners \nWorking knowledge of modern machine learning frameworks and distributed computing systems, including PyTorch, TensorFlow, Ray, Spark, etc.\nBenefits:\nExtended health and dental coverage options, along with life insurance and disability benefits\nMental health benefits\nFamily building benefits\nChild care and pet benefits\nAccess to a Lyft funded Health Care Savings Account\nRRSP plan with company match to help save for your future\nIn addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service \nLyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.\nSubsidized commuter benefits and Lyft ride credits\nLyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.\nLyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid\nThe expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.\nLyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.\nThis job fills an existing vacancy.","description_format":"text","description_chars":6474,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Shared Mobility","Ride Hailing"],"lifecycle":[{"event":"open","at":"2026-10-01T19:31:50Z"}],"visa":[],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.502,"p_room":0.44,"age_days":44,"expected_fill_days":40,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/lyft-data-scientist-algorithms-mapping","json_url":"https://alion.io/job/lyft-data-scientist-algorithms-mapping.json","meta":{"generated_at":"2026-10-17T01:53:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2680,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":234},"rest":"https://alion.io/mcp/rest/get_company?id=234"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flyft-data-scientist-algorithms-mapping"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flyft-data-scientist-algorithms-mapping"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flyft-data-scientist-algorithms-mapping"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lyft-data-scientist-algorithms-mapping\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flyft-data-scientist-algorithms-mapping"}]}