BayOne Solutions
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist specializing in statistical and causal inference, offering a 12-month remote contract at $75-$80/hr. Key skills include Python, SQL, A/B testing, and experience with Databricks.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
March 11, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
California, United States
-
🧠 - Skills detailed
#A/B Testing #Data Science #Libraries #Python #Cloud #Databricks #SQL (Structured Query Language) #Scala
Role description
Hi,
Title: Sr. Data Scientist (Statistical & Causal Inference)- Measurement Framework Developer
Location: Remote
Duration: 12 Months Contract
Payrate: $75 t $80/hr. on W2
About the Role
We are looking for a Data Scientist with strong expertise in statistical inference and causal analysis to develop measurement frameworks for enterprise solutions. This role is ideal for someone passionate about designing experiments, applying causal inference methods, and building scalable frameworks to measure impact.
Required Qualifications
• Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques.
• Proficiency in Python and SQL; experience with libraries like statsmodels, scikit-learn, DoWhy, linearmodels.
• Experience with A/B testing and experimental design.
• Familiarity with Databricks or similar enterprise cloud environments.
• Self-starter with an ownership mindset and ability to work independently.
Hi,
Title: Sr. Data Scientist (Statistical & Causal Inference)- Measurement Framework Developer
Location: Remote
Duration: 12 Months Contract
Payrate: $75 t $80/hr. on W2
About the Role
We are looking for a Data Scientist with strong expertise in statistical inference and causal analysis to develop measurement frameworks for enterprise solutions. This role is ideal for someone passionate about designing experiments, applying causal inference methods, and building scalable frameworks to measure impact.
Required Qualifications
• Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques.
• Proficiency in Python and SQL; experience with libraries like statsmodels, scikit-learn, DoWhy, linearmodels.
• Experience with A/B testing and experimental design.
• Familiarity with Databricks or similar enterprise cloud environments.
• Self-starter with an ownership mindset and ability to work independently.
