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Data Scientist, Algorithms - Dynamic Pricing

Lyft · San Francisco, CA · posted 39 days ago

In short: Data Scientist, Algorithms - Dynamic Pricing at Lyft in San Francisco, CA, posted 39 days ago.

By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.

Lyftemployer
San Francisco, CAlocation
Data, analytics and AIsub-niche
39 days agoposted
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The job

LIVE Employer public job feed (private-sector employer) Source: the employer's public careers feed · Data: listed 2026-10-01

EmployerLyft
LocationSan Francisco, California
FieldTechnology › Data, analytics and AI
Levelnot stated
Source categoryPricing
Posted2026-10-01 (39 days ago)
Work arrangementOn-site at the location listed
PayNot published in the source listing

Job 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.

The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, and Dynamic Pricing & Offer Selection is an integral part of that. Our team is the dynamic pricing team responsible for leveraging both real-time and historical data to set prices for every single ride at Lyft while balancing prices and ETAs to better serve our riders’ needs.

We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In this role, you will work closely with Product and Engineering on a cross-functional team to prototype and build end-to-end dynamic pricing models that can operate at scale. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers.

Responsibilities:

Experience:

Benefits:

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards 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. 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. 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

The expected base pay range for this position in the San Francisco area is $128,000 - $160,000, 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.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Lyft Jobs in California Jobs in San Francisco, CA San Francisco city guide California state guide San Francisco County economy Pay for this occupation (BLS) All 154 open jobs for this occupation

View this job and apply on the employer's page →

You apply on the employer's page; AtiveSite does not receive or process applications and is not affiliated with the employer. The description above is shown as the source published it.

About the role

This is a — role in the Technology field (Data, analytics and AI) at Lyft.

The closest occupation in the official wage statistics is Data scientists (a match by name, so treat it as an estimate). Nationally its median pay is $120,230 a year (BLS OEWS, May 2025), employment is projected to change by +34.6% between 2025 and 2035, and the typical entry route is: Bachelor's degree.

In the San Francisco-Oakland-Fremont, CA area the median for this occupation is $170,110 a year with 10,460 jobs (BLS OEWS, May 2025). This is a statistic for the occupation, not an offer from this employer.

Pay by state and metro area for this occupation →

Does the pay work here? (estimate)

Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.

How to prepare and behave

This is editorial guidance, not information from the employer.

Know your rights as a candidate and an employee:

The city

The job is in San Francisco, CA. Below is what the official statistics say about living and working there.

How San Francisco compares. Among the 145 largest places in California, San Francisco is #4 by population, #139 for homeownership (#1 = highest), #20 for remote work (#1 = most), #25 for college degrees (#1 = most). Its county, San Francisco County, is #3 of 58 counties for average pay ($174,103).

The place in numbers

San Francisco has 830,235 residents (ACS 2020–2024), about 2.1% of the population of California. It covers 47 square miles of land, which works out to roughly 17,784 people per square mile. The median age is 40.0, 6% older than the state median (40.0 against 37.9).

Housing

The median gross rent is $2,476 a month (rent plus utilities), 22% above the state median ($2,476 against $2,036). Over a year that is 21.1% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,394,500, which is 9.9 times the median household income ($140,970); a ratio above 5 usually means buying is out of reach without savings or a second income. 38.2% of households own their home, 32% below the state average (38.2% against 55.9%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Francisco County was 4.0%. 69.6% of residents aged 16 and over are in the labour force. The city lies in San Francisco County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 28.6% drive alone, 18.7% use public transit, 9.3% walk, 31.0% work from home. 21.6% of workers commute 45 minutes or more, 11% above the state average (21.6% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

60.3% of adults aged 25 and over hold a bachelor's degree or higher, 63% above the state share (60.3% against 37.1%). 34.0% of residents were born outside the United States, 26% above the state share (34.0% against 27.0%). The poverty rate is 11.2%, 7% below the state rate (11.2% against 12.0%).

Climate

The warmest month is Sep, averaging 59°F (14.9°C), and the coolest is Apr at 53°F (11.6°C). About 515 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (112 mm) and Jul the driest (2 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Daly City (31 miles, rent 3% higher); Pacifica (31 miles, rent 25% higher); San Bruno (34 miles, rent 12% higher); Millbrae (36 miles, rent 32% higher). Rent differences are against San Francisco; use the Compare tab to put any two cities side by side.

Full guide to San Francisco →California guideAll jobs in San Francisco

Official links for San Francisco

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of San Francisco, CA that have a guide, with what living there costs. The last-but-one column divides a year of rent by the median pay of the closest occupation ($170,110 a year), an estimate, not this employer's pay.

Sort:
Place ⇅Distance from the job city ⇅Median rent ⇅Median home value ⇅Median household income ⇅Commute 45+ min ⇅Rent as % of occupation pay ⇅Open jobs there ⇅
San Francisco, CA0 mi$2,476$1,394,500$140,97021.6%17.5%Jobs
Daly City, CA31 mi$2,551$1,115,000$123,54719.6%18.0%Jobs
Pacifica, CA31 mi$3,098$1,249,800$160,52315.5%21.9%—
San Bruno, CA34 mi$2,773$1,207,500$141,27212.2%19.6%—
Millbrae, CA36 mi$3,272$1,934,900$163,47621.8%23.1%—
Brisbane, CA36 mi$2,574$1,232,200$156,16929.8%18.2%—
South San Francisco, CA36 mi$2,802$1,188,800$136,57815.2%19.8%—
Half Moon Bay, CA37 mi$2,433$1,549,500$157,88426.7%17.2%—
Burlingame, CA38 mi$2,785$2,000,001$174,00023.1%19.6%—
Richmond, CA40 mi$1,960$668,200$95,39128.8%13.8%—
San Mateo, CA41 mi$3,077$1,618,700$153,50415.8%21.7%—
Berkeley, CA41 mi$2,133$1,413,900$108,09220.8%15.0%Jobs
Alameda, CA42 mi$2,474$1,235,700$137,69727.3%17.5%Jobs
Belmont, CA43 mi$2,875$2,000,001$205,29718.6%20.3%Jobs
Oakland, CA44 mi$1,979$929,900$101,60021.9%14.0%Jobs
Foster City, CA44 mi$3,501$1,838,200$199,14320.6%24.7%Jobs
San Carlos, CA45 mi$2,854$2,000,001$237,47014.9%20.1%Jobs
Redwood City, CA47 mi$2,968$1,801,700$157,81410.2%20.9%Jobs
San Leandro, CA48 mi$2,186$844,200$101,42023.7%15.4%—
Atherton, CA49 mi$3,501$2,000,001$250,0017.0%24.7%—

Career paths

Occupations close to Data scientists in the official classification, with pay, outlook and whether there are open jobs for them on this site right now.

Sort:
Occupation ⇅National median pay ⇅Growth 2025–35 ⇅Openings a year (US) ⇅Open jobs here ⇅
Operations research analysts$88,940+11.9%7,500none right now
Statisticians$105,650+11.0%1,900none right now
Actuaries$130,000+9.2%1,500none right now

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far San Francisco, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Sort:
From ⇅Straight-line distance (miles) ⇅Population of that city ⇅
San Francisco, CA0 mi830,235
San Jose, CA73 mi990,138
Los Angeles, CA364 mi3,857,263
San Diego, CA475 mi1,389,526
Phoenix, AZ678 mi1,642,323
Seattle, WA684 mi754,195
Denver, CO986 mi718,877
Oklahoma City, OK1,420 mi697,125
Fort Worth, TX1,484 mi963,194
Dallas, TX1,515 mi1,307,930
San Antonio, TX1,516 mi1,479,835
Austin, TX1,530 mi979,539
Houston, TX1,673 mi2,328,253
Chicago, IL1,885 mi2,711,226
Indianapolis, IN1,979 mi885,860
Columbus, OH2,142 mi914,802
Charlotte, NC2,332 mi903,844
Jacksonville, FL2,403 mi977,670
Philadelphia, PA2,550 mi1,579,706
New York, NY2,602 mi8,483,844

Nearby cities with open jobs (within 120 miles)

Sort:
City ⇅Straight-line distance ⇅Open jobs ⇅
Alameda, CA42 mi38
Belmont, CA43 mi2
Redwood City, CA47 mi30
Palo Alto, CA54 mi217
Sunnyvale, CA60 mi19
Fremont, CA62 mi2
Pleasanton, CA63 mi6
Milpitas, CA66 mi2
Campbell, CA67 mi7
San Jose, CA73 mi664
Capitola, CA79 mi1
Sacramento, CA103 mi49

The employer

Lyft is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

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FAQ

What is the Data Scientist, Algorithms - Dynamic Pricing job at Lyft?

A private-sector role in technology (data, analytics and ai) listed 39 days ago. The full description is on this page and on the employer's page.

Where is this job?

San Francisco, CA.

How do I apply?

Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay. For the closest occupation (Data scientists) the national median is $120,230 a year (BLS OEWS, May 2025).

What is the cost of living there?

Median rent in San Francisco is $2,476 a month and median household income $140,970 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-01 (39 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in California.

Sources and terms

AtiveSite is not affiliated with or endorsed by the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

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