As a Data Scientist, you will research, prototype, and deploy machine learning solutions, work with complex data sets, and support lifecycle management of models.
Company Description
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
Top Skills
Cloud Platforms
Data Science Packages
Machine Learning
Microservices Architecture
Python
Relational Databases
SQL
Similar Jobs
Artificial Intelligence • Productivity • Software • Automation
The Staff Data Scientist at Zapier will analyze data, build systems for insights, and design data products for internal and external customers, facilitating decision-making and enhancing user experience.
Top Skills:
AirflowAutomlDatabricksDbtLookerPythonRSQL
Insurance • Legal Tech • Social Impact
As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.
Top Skills:
PythonRSQL
Artificial Intelligence • eCommerce • Food
The Staff Data Scientist will build and manage machine learning models to optimize personalization, inventory, and logistics while leading the ML function and collaborating cross-functionally.
Top Skills:
C++DatabricksLightgbmNumpyPandasPythonSparkXgboost
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
