Data Scientist, Algorithms - Dynamic Pricing
A machine learning and AI role at Lyft, on-site in San Francisco, CA. The posting asks for Algorithms, Machine learning, Python and SQL. Suits candidates with 1 to 4 years of experience.
San Francisco, CA
On-site1 to 4 years
Pay not stated
Full-time
Posted 1 Oct 2026What they ask for
How Lyft hires
- 1
Recruiter screen, about 30 minutes
Recruiter screen · 30 min · Single account
Background, motivation and alignment with the role.
- 2
Byteboard assessment (internships)
Online test · From the company
For college and graduate internships, Lyft uses Byteboard as its main pre-onsite technical interview: an identity-blind exercise built on practical, real world engineering problems.
- 3
Technical phone screen, about 60 minutes
Live coding · 60 min · Single account
Live coding on CoderPad with one or two medium difficulty problems.
- 4
Onsite loop, four to five rounds
Panel interview · Single account
A coding interview, a hands-on laptop programming exercise in your own environment, a system design discussion and a behavioural interview with an engineering manager.
- 5
Team matching
Hiring manager · Single account
After the onsite, calls with managers of interested teams to find a fit before the offer.
What comes up
Roadmaps and cheat sheets for this role
Matched to the skills and level this job asks for.
- RoadmapMachine learningData, models, deep learning
- RoadmapDSA and problem solvingData structures and patterns
- RoadmapAI engineeringBuild products on LLMs and generative AI
- Cheat sheetMachine learningData, models, deep learning.
- Cheat sheetDSA and problem solvingData structures and patterns.
- Cheat sheetAI engineeringBuild products on LLMs and generative AI.
Worth reading before you apply
From the Sefism resource library, matched to this role and Lyft's rounds.
A browsable practice library of coding problems that can be filtered by pattern, data structure, difficulty and company, so you can drill exactly the weakness you found this week. Patterns include two pointers, sliding window, hash maps, stacks, backtracking and greedy algorithms, with company filters for Google, Meta, Microsoft, Amazon, Oracle and LinkedIn. Free to browse, with an in-browser editor and solutions.
- Job search
- DSA
A course built around 75 coding interview questions chosen for coverage across 18 topic areas, from arrays and sliding window to graphs, backtracking, dynamic programming and tries. Each question has a step-by-step algorithm, a walkthrough and complexity analysis, with solutions in six languages. It suits candidates with a few weeks before an interview who need a balanced, finite problem set rather than an endless list.
- Job search
- DSA
A free newsletter of short, focused posts on system design and problem solving, from the team behind the Grokking courses. Recent posts cover company interview processes (such as OpenAI and Anthropic roles), the most asked mobile system design questions and preparation plans, each linking to a fuller article on the blog. It suits engineers who want a steady, low-effort way to keep system design and interview topics fresh between deeper study sessions.
- System design
- DSA
A learning path that bundles five courses into one sequence for system design preparation: System Design Fundamentals, Grokking the System Design Interview, Advanced System Design Interview Volume II, Grokking Microservices Design Patterns and Grokking Design Patterns for Engineers and Managers. Together they add up to 76 chapters and 666 lessons. It suits engineers who want a complete, ordered curriculum instead of assembling one from scattered posts.
- System design
- Job search
- Career
A quick-revision companion to the DSA roadmap in nine chapters: complexity, arrays and hashing, linked lists, stacks and queues, recursion, sorting and searching, trees and heaps, graphs, coding patterns, dynamic programming and timed practice habits. Costs are stated for every structure and algorithm, in Python, Java, C++ or JavaScript editions. Use it after each roadmap stage and before a contest or coding round.
- Programming
- DSA
- Web
An eight-stage path from Big-O through arrays, hashing, recursion, trees, graphs, coding patterns and dynamic programming to timed, mixed practice, in Python, Java, C++ or JavaScript. It suits students and developers who can write code but freeze on problems with no obvious library call. By the end you can pick the right data structure, recognise common problem shapes and solve a medium problem in about 35 minutes with edge cases tested.
- Programming
- DSA
- Web
The full description, requirements and how to apply are on the company's own posting. This page is a summary so you can decide whether it is worth opening.
Verification
3 of 4 checks- Company verified
- Posting checked
- Still open
- Not confirmed by the company
Last checked today (30 Oct 2026)
About the company
Runs a ride hailing app in North America and operates bike and scooter sharing systems in several cities.
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