Home › Companies › ALO Yoga › Senior Data Scientist
Senior Data Scientist
ALO Yoga · Beverly Hills, California, United States · On Site · Active · $160,000–$200,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | ALO Yoga |
| Title | Senior Data Scientist |
| Normalized title | - |
| Department / team | Technology |
| Location | Beverly Hills, CA, United States |
| Work model | On Site |
| Employment type | - |
| Salary | $160,000–$200,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-01-14 / 2026-05-29 |
| Changed / last seen | 2026-06-03 / 2026-06-04 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from ALO Yoga. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Beverly Hills. | Open |
| Department jobs | Active postings in Technology. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | ALO Yoga |
| Source | c79d7434-9fda-48c9-a22d-484426e63f23 |
| ATS provider | Greenhouse |
Description
WHY JOIN ALO?
Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.
OVERVIEW
We are seeking an experienced Senior Data Scientist to join our team to lead the development of analytics and growth strategies across our entire business. The Senior Data Scientist will be responsible for managing and analyzing large data sets, developing statistical models and machine learning algorithms, and providing insights to drive business growth for our retail operations.
RESPONSIBILITIES
Support the development of e-commerce and retail analytics and growth strategies, including market research, customer segmentation, and predictive modeling.
Collaborate with cross-functional teams, including sales, marketing, product, and engineering to develop data-driven solutions that enhance customer experience and drive business growth.
Develop statistical models and machine learning algorithms to analyze large data sets and identify opportunities to improve business performance.
Build and maintain dashboards and reports that visualize data insights and performance metrics for executive leadership.
Communicate complex data insights and models to non-technical stakeholders and translate findings into actionable recommendations.
QUALIFICATIONS
Bachelor’s or master’s degree in a quantitative field, such as mathematics, statistics, or computer science
PhD, or M.S. degree in a quantitative discipline such as CS, Statistics, ML, Physics, Economics, or Mathematics preferred
5+ years of experience in data science, including experience in DTC, e-commerce, or retail analytics
Strong proficiency in statistical modeling and machine learning algorithms, such as regression analysis, clustering, and decision trees
Experience with programming languages such as Python or R and SQL Jupyter, & ML libraries
Strong communication and presentation skills, with the ability to translate complex data insights to non-technical stakeholders
Strong leadership and/or management skills, with experience managing and mentoring a team of data scientists
Proficiency in productionizing algorithms, from data ingest to model management, using AWS and/or Azure
Self-starter: able to drive projects and take technical leadership of projects
Experience in start-ups or other fast-paced environments preferred
Experience and excitement partnering with Data Analytics and Data Engineering
Currently based in the greater LA area or open to relocation and consent to working onsite 4 days a week
The base salary range for this position is $160,000-$200,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.
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Full job record
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| Source ID | c79d7434-9fda-48c9-a22d-484426e63f23 |
| Board ID | c79d7434-9fda-48c9-a22d-484426e63f23 |
| Provider | greenhouse |
| Provider Job Key | 5763865004 |
| Title | Senior Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Beverly Hills, California, United States |
| Department | Technology |
| Team | — |
| Employment Type | — |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Beverly Hills |
| Salary Raw | salary range for this position is $160,000-$200,000 per year which represents the current range for the base salary for this exempt |
| Salary Min | 160,000 |
| Salary Max | 200,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://boards.greenhouse.io/aloyoga/jobs/5763865004?gh_jid=5763865004 |
| Apply URL | https://boards.greenhouse.io/aloyoga/jobs/5763865004?gh_jid=5763865004 |
| First Seen At | 2026-05-29 22:42:38Z |
| Last Seen At | 2026-06-04 11:17:16Z |
| Last Checked At | 2026-06-04 11:17:16Z |
| Last Changed At | 2026-06-03 12:01:42Z |
| Inactive At | — |
| Source Posted At | 2026-01-14 00:48:05Z |
| Source Updated At | 2026-06-02 15:27:46Z |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=aloyoga/date=2026-06-04/2026-06-04T11-17-13-278Z-8cb3aae4b040671557cec1b11fc8d6cf214b8e2c8f03279daf50cc032f09a347.json |
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