Data Scientist
Data Scientist
Posted on :
23-11-2024
Employer Active
1 Vacancy
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Job Description
This is a remote position.
We are currently looking to expand our team with a talented Data Scientist who is passionate about leveraging data to solve complex problems and help us make datadriven decisions.
You will play a crucial role in extracting insights from data developing predictive models and driving business strategy through advanced analytics. You will work with crossfunctional teams to understand business requirements design experiments and implement machine learning models to deliver actionable insights.
Requirements
1) Design data pipelines leveraging Cloud Platform and SQL to create and maintain the data warehouse for the client on
Snowflake to enable downstream modeling work.
2) Create detailed documentation of all the existing data flows i.e. Source to Target Mapping documents from functional
requirement documents.
3) Create data pipelines using Python Shell Scripting and SQL on Snowflake serving the marketing team.
4) Integrate new data feeds like external data files and API calls with the existing Data warehouse in Snowflake using SQL and
Python.
5) Perform Exploratory Data Analysis to understand the existing customer behavior
6) Develop a Customer Lifetime Value Model to estimate the top profitable customers to help customize the marketing
efforts today.
7) Leverage existing RFM models as an input while building a new model for Customer Lifetime Value
Benefits
401K
Dental insurance
Health insurance
Paid time off
1) Design data pipelines leveraging Cloud Platform and SQL to create and maintain the data warehouse for the client on Snowflake to enable downstream modeling work. 2) Create detailed documentation of all the existing data flows i.e., Source to Target Mapping documents from functional requirement documents. 3) Create data pipelines using Python, Shell Scripting, and SQL on Snowflake serving the marketing team. 4) Integrate new data feeds like external data files and API calls with the existing Data warehouse in Snowflake using SQL and Python. 5) Perform Exploratory Data Analysis to understand the existing customer behavior 6) Develop a Customer Lifetime Value Model to estimate the top profitable customers to help customize the marketing efforts today. 7) Leverage existing RFM models as an input while building a new model for Customer Lifetime Value
Employment Type
Full Time
Company Industry
Key Skills
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