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Senior Data Scientist

GSB Solutions Open
On-site Los Angeles Full-time Senior Data Science

At a glance

Senior Data Science role at GSB Solutions. Los Angeles · full-time · no salary stated · we estimate $171,775–$210,000.

Estimated pay

GSB Solutions has not published a salary for this role. The figure below is our estimate, not theirs.

$171,775 – $210,000
What the middle half of senior data science roles in Los Angeles paid, among postings that did state a salary.
Worked out from 12 postings that stated pay, median $187,500. Last updated Nov 13, 2026.
RoleData Science
SenioritySenior
LocationLos Angeles
WorkplaceOn-site
EmploymentFull-time
PostedOct 28, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and put machine-learning models into production, including predictive models and forecasting solutions
  • Create end-to-end ML pipelines and engineer features for data-driven applications
  • Examine large datasets to surface business insights and collaborate with engineering teams
  • Track model performance and maintain deployed systems so solutions remain production-ready

What you bring

  • At least five years developing, deploying and maintaining machine-learning systems in production
  • Hands-on ability with Python, Snowflake and MLOps, plus experience with the named ML and data tools
  • Experience building ML pipelines, predictive models, feature engineering and forecasting

Who this fits

This senior role suits someone who can take machine-learning work from development through production and ongoing monitoring. The position is onsite in Los Angeles.

From the employer

Seeking a Senior Machine Learning Engineer with 5+ years of experience developing, deploying, and maintaining Machine Learning solutions in production environments. Strong expertise in Machine Learning, Python, Snowflake, and MLOps, with hands-on experience building end-to-end ML pipelines, predictive models, feature engineering, forecasting, and data-driven solutions.

The ideal candidate will be responsible for designing and deploying scalable ML models, analyzing large datasets to generate business insights, collaborating with engineering teams, monitoring model performance, and delivering production-ready solutions. Experience with Scikit-learn, Pandas, NumPy, SQL, and cloud data platforms is required.

Experience: 5+ years (Band 4).

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.