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Job Description
Sr. Data Scientist – eCommerce Pricing (Contract)
Location:
Orlando, FL () or Glendale, CA ();
Schedule:
Monday–Friday (onsite Mon–Thurs if near office)
Duration:
Through 2/13/2026
Rate:
$103.45/hr
We are supporting a high-profile pricing optimization project for a leading eCommerce business. The team is seeking a
Sr. Data Scientist
with deep experience in
pricing models ,
Python , and
machine learning
to lead dynamic pricing initiatives for their eCommerce platform.
This role will focus on building and refining price optimization models to drive incremental margin and business performance, collaborating with teams across
Merchandising, Finance, and Marketing .
Must-Have Experience:
Advanced degree (MS/PhD) in Data Science, Computer Science, or related field.
4+ years in
pricing analytics
or
retail pricing strategy .
Deep statistical modeling & machine learning skills (regression, ARIMA, XGBoost, etc.).
Strong
Python
(pandas, scikit-learn, statsmodels, etc.) &
SQL
proficiency.
A/B testing, experimental design, causal inference.
Excellent data storytelling and communication with visualization tools.
:
Retail or eCommerce pricing optimization experience.
Other Notes:
Onsite if near Orlando or Glendale (4 days/week).
Sr. Data Scientist – eCommerce Pricing (Contract)
Location:
Orlando, FL () or Glendale, CA ();
Schedule:
Monday–Friday (onsite Mon–Thurs if near office)
Duration:
Through 2/13/2026
Rate:
$103.45/hr
We are supporting a high-profile pricing optimization project for a leading eCommerce business. The team is seeking a
Sr. Data Scientist
with deep experience in
pricing models ,
Python , and
machine learning
to lead dynamic pricing initiatives for their eCommerce platform.
This role will focus on building and refining price optimization models to drive incremental margin and business performance, collaborating with teams across
Merchandising, Finance, and Marketing .
Must-Have Experience:
Advanced degree (MS/PhD) in Data Science, Computer Science, or related field.
4+ years in
pricing analytics
or
retail pricing strategy .
Deep statistical modeling & machine learning skills (regression, ARIMA, XGBoost, etc.).
Strong
Python
(pandas, scikit-learn, statsmodels, etc.) &
SQL
proficiency.
A/B testing, experimental design, causal inference.
Excellent data storytelling and communication with visualization tools.
:
Retail or eCommerce pricing optimization experience.
Other Notes:
Onsite if near Orlando or Glendale (4 days/week).