

Galent
Senior Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with 7-11 years of experience, offering a contract length of "unknown" at a pay rate of "unknown." Key skills include Python, machine learning, data visualization, and data quality.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
February 26, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
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π - Location detailed
Los Angeles, CA
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π§ - Skills detailed
#Data Quality #Data Analysis #Programming #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Visualization #Python #Data Pipeline #Data Science #Datasets #Scala
Role description
Weβre hiring a Senior Data Scientist
Join Galent and help us deliver high-impact technology solutions that shape the future of digital transformation
Senior Data Scientist with 7 to 11 years of experience in Python for Data Science to drive datadriven insights and advanced analytics solutions
Utilize advanced Python programming skills to analyze complex datasets and develop predictive models Apply data science techniques including statistical analysis machine learning and data visualization to extract meaningful insights Collaborate with crossfunctional teams to understand business requirements and translate them into technical solutions using Python Ensure data quality and integrity by implementing robust data preprocessing and cleaning methodologies Stay updated with the latest trends and advancements in Pythonbased data science tools and frameworks Develop scalable and efficient data pipelines to support analytics and reporting needs Mentor junior data scientists and provide technical guidance within the PythonData Science domain
Roles and Responsibilities:
Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes Perform exploratory data analysis to identify patterns trends and opportunities for business improvement Collaborate with stakeholders to define key performance indicators and success metrics Optimize existing data science workflows and models for better performance and accuracy Document methodologies code and findings to ensure reproducibility and knowledge sharing Support the integration of data science solutions into production environments Drive continuous improvement initiatives by evaluating new tools and technologies relevant to Python and data science
Weβre hiring a Senior Data Scientist
Join Galent and help us deliver high-impact technology solutions that shape the future of digital transformation
Senior Data Scientist with 7 to 11 years of experience in Python for Data Science to drive datadriven insights and advanced analytics solutions
Utilize advanced Python programming skills to analyze complex datasets and develop predictive models Apply data science techniques including statistical analysis machine learning and data visualization to extract meaningful insights Collaborate with crossfunctional teams to understand business requirements and translate them into technical solutions using Python Ensure data quality and integrity by implementing robust data preprocessing and cleaning methodologies Stay updated with the latest trends and advancements in Pythonbased data science tools and frameworks Develop scalable and efficient data pipelines to support analytics and reporting needs Mentor junior data scientists and provide technical guidance within the PythonData Science domain
Roles and Responsibilities:
Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes Perform exploratory data analysis to identify patterns trends and opportunities for business improvement Collaborate with stakeholders to define key performance indicators and success metrics Optimize existing data science workflows and models for better performance and accuracy Document methodologies code and findings to ensure reproducibility and knowledge sharing Support the integration of data science solutions into production environments Drive continuous improvement initiatives by evaluating new tools and technologies relevant to Python and data science






