Company:
Ampcus Incorporated
Location: Plano
Closing Date: 05/08/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Title: SR. DATA SCIENTIST
Work Location: (Onsite) Plano TX
Required Skills:
Data Science - ML algorithms like random forest, LightGBM, Xgboost used to classification problem
Nice to have skills:
Databricks & AWS services like athena, sagemaker, s3 buckets etc
We are seeking a highly skilled Senior Data Scientist with a strong background in ML algorithms like random forest, LightGBM, Xgboost used to classification problem, coupled with domain expertise in the Automotive Industry and After Sales & Service Management Logistics. This role requires a minimum of 7 to 9 years of experience and involves leveraging data science to drive innovation and operational efficiency.
Roles & Responsibilities:
Hands-on experience in ML algorithms like random forest, LightGBM, Xgboost used to classification problem
Sales Incentive or Baysian Statistics experience
Proficient in python programing and SQL query writing using window function like Rank, least.
Good to have Jupyter Notebook in Sagemaker studio experience.
Able to explain the ML model output and inferences.
Advantage if you have developed propensity model using python.
Good to have experience in Databricks & AWS services like athena, sagemaker, s3 buckets etc.
Years of Experience: 14.00 Years of Experience
Job Title: SR. DATA SCIENTIST
Work Location: (Onsite) Plano TX
Required Skills:
Data Science - ML algorithms like random forest, LightGBM, Xgboost used to classification problem
Nice to have skills:
Databricks & AWS services like athena, sagemaker, s3 buckets etc
We are seeking a highly skilled Senior Data Scientist with a strong background in ML algorithms like random forest, LightGBM, Xgboost used to classification problem, coupled with domain expertise in the Automotive Industry and After Sales & Service Management Logistics. This role requires a minimum of 7 to 9 years of experience and involves leveraging data science to drive innovation and operational efficiency.
Roles & Responsibilities:
Hands-on experience in ML algorithms like random forest, LightGBM, Xgboost used to classification problem
Sales Incentive or Baysian Statistics experience
Proficient in python programing and SQL query writing using window function like Rank, least.
Good to have Jupyter Notebook in Sagemaker studio experience.
Able to explain the ML model output and inferences.
Advantage if you have developed propensity model using python.
Good to have experience in Databricks & AWS services like athena, sagemaker, s3 buckets etc.
Years of Experience: 14.00 Years of Experience
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