×
Register Here to Apply for Jobs or Post Jobs. X

Remote Data Scientist - Analytics & Predictions

Remote / Online - Candidates ideally in
Los Angeles, Los Angeles County, California, 90001, USA
Listing for: Franklin
Remote/Work from Home position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 131000 USD Yearly USD 110000.00 131000.00 YEAR
Job Description & How to Apply Below
Position: Remote Data Scientist - Growth Analytics & Predictions

Franklin is seeking an experienced Data Scientist to analyze complex datasets and generate actionable insights to inform business decisions. You will work closely with stakeholders to identify opportunities for data-driven growth while building predictive models and communicating results through visualizations.

The role offers flexible hours and remote work options, with a focus on developing advanced analytics in a dynamic, growing organization. Sacramento-area applicants are welcome.

The Remote Data Scientist
- Growth Analytics & Predictions role at Franklin is now open for applications in Sacramento, CA, United States.

The advertised compensation is 110..

This role offers the option to work remotely.

We aim to respond to suitable candidates as soon as possible.

Full responsibilities and requirements are described in the listing above.

Learn more about the Remote Data Scientist
- Growth Analytics & Predictions role in the description above.

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary