Company:
A Place For Mom
Location: Atlanta
Closing Date: 18/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description
As a Sr. Data Scientist, you will leverage advanced analytics and machine learning techniques to solve complex problems and provide actionable insights. You will work closely with cross-functional teams to influence business strategy and drive growth. You will lead efforts in developing models, analyzing large datasets, and communicating findings to stakeholders.
Who you are:
The ideal candidate is passionate about transforming data into knowledge, leveraging data science skills for solving complex business problems to drive business action. You are comfortable, confident and energized operating in a rapidly changing environment, work well cross-functionally and communicate clearly. And, you are passionate about the families and communities we serve.
Key Responsibilities
Data Science/Machine Learning Model Management and Development
Maintain and manage legacy machine learning models.
Develop, enhance, and test new machine learning models to support business growth initiatives.
Conduct deep dive analysis and identify variance drivers.
Evaluate model performance and monitor for drift.
Implement thorough testing and evaluation to ensure model and code quality.
Data Analysis and Visualization
Create dashboards and visualizations to communicate insights.
Provide clear and actionable reporting for stakeholders.
Handle ad-hoc analytics requests to support business decisions.
Perform exploratory data analysis to uncover trends and patterns.
Ensure data quality through rigorous data collection, cleaning, and preprocessing.
Collaboration and Communication
Work closely with product, engineering, and business stakeholders to understand requirements, provide data-driven recommendations, and influence strategy.
Collaborate with cross-functional teams to advance data and analytics capabilities.
Identify opportunities to enhance data modeling and testing platforms.
Communicate the value of data analytics to non-technical teams and guide them in applying insights.
As a Sr. Data Scientist, you will leverage advanced analytics and machine learning techniques to solve complex problems and provide actionable insights. You will work closely with cross-functional teams to influence business strategy and drive growth. You will lead efforts in developing models, analyzing large datasets, and communicating findings to stakeholders.
Who you are:
The ideal candidate is passionate about transforming data into knowledge, leveraging data science skills for solving complex business problems to drive business action. You are comfortable, confident and energized operating in a rapidly changing environment, work well cross-functionally and communicate clearly. And, you are passionate about the families and communities we serve.
Key Responsibilities
Data Science/Machine Learning Model Management and Development
Maintain and manage legacy machine learning models.
Develop, enhance, and test new machine learning models to support business growth initiatives.
Conduct deep dive analysis and identify variance drivers.
Evaluate model performance and monitor for drift.
Implement thorough testing and evaluation to ensure model and code quality.
Data Analysis and Visualization
Create dashboards and visualizations to communicate insights.
Provide clear and actionable reporting for stakeholders.
Handle ad-hoc analytics requests to support business decisions.
Perform exploratory data analysis to uncover trends and patterns.
Ensure data quality through rigorous data collection, cleaning, and preprocessing.
Collaboration and Communication
Work closely with product, engineering, and business stakeholders to understand requirements, provide data-driven recommendations, and influence strategy.
Collaborate with cross-functional teams to advance data and analytics capabilities.
Identify opportunities to enhance data modeling and testing platforms.
Communicate the value of data analytics to non-technical teams and guide them in applying insights.
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