Urgent! Senior Data Scientist - Retailer Job Opening In San Francisco – Now Hiring Faire
About this role
Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores.
Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions.
Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace.
We are dedicated to building machine learning models that help our customers thrive.
As a Data Scientist on the Retailer team, you'll tackle a diverse set of challenges, such as optimizing logistics and freight costs and calculating optimal credit limits.
You'll also contribute to growing Faire’s retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value.
You'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data.
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest.
Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
What you’ll do
Qualifications
Salary Range
California: the pay range for this role is $192,000 to $264,000 per year.
This role will also be eligible for equity and benefits.
Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location.
The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays.
Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday).
Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Applications for this position will be accepted for a minimum of 30 days from the posting date.
Why you’ll love working at Faire
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Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.
Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process.
We will work with all applicants to accommodate their individual accessibility needs.
To request reasonable accommodation, please fill out our (https://bit.ly/faire-form)
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
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Great news! Faire is currently hiring and seeking a Senior Data Scientist Retailer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Scientist Retailer Jobs San Francisco.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Faire adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Scientist Retailer Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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Before the Interview:To prepare for your Senior Data Scientist Retailer interview at Faire, research the company, understand the job requirements, and practice common interview questions.
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