San Francisco, CA | New York, NY

Sr. Analytics Engineer/ Data Scientist

USD 218K–240K / yearHybridSeniorPythonSQLPandasAirflow

Original posting ↗Apply ↗Company job board ↗Follow new Python jobs in Telegram

Laurel, a software company in AI and data, is hiring for the role of Sr. Analytics Engineer/ Data Scientist. The role is hybrid, based in New York City, United States. Our labels mark it as a senior-level role in data and machine learning. The posting names Pandas, Airflow, Snowflake, BigQuery, Power BI and Tableau. It asks for 3+ years of experience. Visa sponsorship is not offered. Perks named in the posting: equity. Laurel has 3 open positions on this site, 2 of them in IT and engineering.

Posted today · Last checked 2026-10-27

About Laurel

AI and data Software product company 3 open positions, 67% in IT and engineering. Most open roles: Backend engineering (1), Data and machine learning (1), Sales (1).

All open jobs at Laurel →

Similar jobs

Security Data EngineerAnthropic · Remote-Friendly (Travel Required) | San Francisco, CAUSD 320K–405K / year Member of Technical Staff, Computer Vision (Perception)Sieve · San FranciscoOn-site Principal Research ScientistG2 · Remote (US)USD 190K–235K / year Senior Data Analyst, Growth MarketingQuince · Palo Alto, California, United StatesUSD 163K–188K / year Data Scientist, Robotaxi Performance & Capabilitywayve · Sunnyvale, California USAHybrid Data ScientistJerry.ai · New York, New York | Chicago, Illinois | Boston, Massachusetts | San Francisco Bay AreaUSD 140K–160K / year Associate Data ScientistJerry.ai · New York, New York | Chicago, Illinois | Boston, Massachusetts | San Francisco Bay AreaUSD 110K–140K / year Machine Learning Engineering Manager - Core Ads RankingReddit · Remote - United StatesUSD 230K–322K / year

980 open data and machine learning jobs in the United States All open jobs at Laurel →

Workplace	Hybrid
Seniority	Senior
Role	Data and machine learning
Countries	United States
Languages	PythonSQL
Employment type	FullTime
Key facts	Stack: Python, SQL, Pandas, Airflow, Snowflake, BigQuery, Power BI, Tableau, AWS, GCP, Azure, dbt · Experience: 3+ years · Visa sponsorship: no · Equity

The full description is on the original posting. Labels are set automatically and can be wrong. About the data