Data Scientist
1 week ago
KGS Technology Group is committed to providing innovative, tailored solutions that meet the unique needs of clients across a wide range of industries. With a strategic emphasis on strengthening its core areas of expertise, KGS consistently delivers forward-thinking designs that produce tangible, impactful outcomes. Known for their outstanding technical skills, strong business acumen, and dedication to quality, KGS consultants stand out in the industry. With a global presence, the company supports its clients from offices located in both the United States and India, ensuring top-tier service and responsiveness worldwide.
Job DescriptionJob 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 you'll 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
QualificationsMasters 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
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