Job Description
- Provide strong analytical and data science expertise as a key member of our Data Science Team within our Global R&D Science Group where youll focus on the research development and deployment of a wide variety of analytical and machine learning use cases across Manhattan Associates broad portfolio of supply chain solutions
- Work with other data scientists customers product strategists R&D leaders and application development teams to identify prototype develop and deploy ML-empowered solutions
- Assist data science teammates product teams and cloud teams with deployment and lifecycle oversight performance analysis issue troubleshooting tuning and refreshing of production models/pipelines within our ML platform
- Work with large complex data sets to extract analyze visualize and infer meaningful insights
- Work with data science team members to research experiment and benchmark new analytical data science and ML methods and technologies
- Communicate and document effectively especially when communicating non-technical business leaders partners and our customers
Minimum Requirements
- Masters in data science computer science engineering analytics mathematics statistics or a related technical field
- 3 years minimum experience working as a Data Scientist
- Researching prototyping developing benchmarking productionalzing monitoring and overseeing/managing the lifecycle of deployed ML models and solutions
- Very solid proven experience working with Data Science Analytical and AI/ML algorithms models techniques processes and best practices
- Applied knowledge and understanding of statistical data analysis data wrangling and visualization sampling methods multivariate analysis hypothesis testing drift analysis
- Strong Python programming skills
- Solid working experience with leading open source and/or commercial data science packages/tools
- Experience working with SQL and relational databases
- Team oriented with strong interpersonal skills
- Strong ability for effective data storytelling
Committed to diversity and inclusion
Qualifications :
Masters in data science computer science engineering analytics mathematics statistics or a related technical field
Additional Information :
- Experience working with and deploying solutions within a Cloud platform
- Experience with ML model/pipeline productization deployment and lifecycle management within a Cloud platform -- especially within a Microservices Architecture
- Experience with machine learning R&D leveraging/requiring large datasets
Remote Work :
Yes
Employment Type :
Full-time
Job DescriptionProvide strong analytical and data science expertise as a key member of our Data Science Team within our Global R&D Science Group where youll focus on the research development and deployment of a wide variety of analytical and machine learning use cases across Manhattan Associates bro...
Job Description
- Provide strong analytical and data science expertise as a key member of our Data Science Team within our Global R&D Science Group where youll focus on the research development and deployment of a wide variety of analytical and machine learning use cases across Manhattan Associates broad portfolio of supply chain solutions
- Work with other data scientists customers product strategists R&D leaders and application development teams to identify prototype develop and deploy ML-empowered solutions
- Assist data science teammates product teams and cloud teams with deployment and lifecycle oversight performance analysis issue troubleshooting tuning and refreshing of production models/pipelines within our ML platform
- Work with large complex data sets to extract analyze visualize and infer meaningful insights
- Work with data science team members to research experiment and benchmark new analytical data science and ML methods and technologies
- Communicate and document effectively especially when communicating non-technical business leaders partners and our customers
Minimum Requirements
- Masters in data science computer science engineering analytics mathematics statistics or a related technical field
- 3 years minimum experience working as a Data Scientist
- Researching prototyping developing benchmarking productionalzing monitoring and overseeing/managing the lifecycle of deployed ML models and solutions
- Very solid proven experience working with Data Science Analytical and AI/ML algorithms models techniques processes and best practices
- Applied knowledge and understanding of statistical data analysis data wrangling and visualization sampling methods multivariate analysis hypothesis testing drift analysis
- Strong Python programming skills
- Solid working experience with leading open source and/or commercial data science packages/tools
- Experience working with SQL and relational databases
- Team oriented with strong interpersonal skills
- Strong ability for effective data storytelling
Committed to diversity and inclusion
Qualifications :
Masters in data science computer science engineering analytics mathematics statistics or a related technical field
Additional Information :
- Experience working with and deploying solutions within a Cloud platform
- Experience with ML model/pipeline productization deployment and lifecycle management within a Cloud platform -- especially within a Microservices Architecture
- Experience with machine learning R&D leveraging/requiring large datasets
Remote Work :
Yes
Employment Type :
Full-time
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