As a Data Scientist within Manhattan Associate’s Global R&D organization, you will contribute to the research, evolution, innovation, and productionalization of advanced analytic methods, Data Science, Artificial Intelligence and Machine Learning capabilities across our industry leading Supply Chain solutions. As a member of the Data Science Team, you will help with the analysis and solution designs of complex analytical supply chain management problems using a variety of methods from Predictive Analytics, Forecasting, Statistical Analysis and Modeling, Data Science, Simulation, AI and Machine Learning to ensure that the analytical business tasks and processes used within our solutions have been reliably and accurately modeled and productionalized. You will be viewed a strong practitioner within the disciplines of Analytics, Data Science, and/or Machine Learning.
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 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
Additional Preferred Qualifications:
- 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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Manhattan Associates Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Manhattan Associates and has not been reviewed or approved by Manhattan Associates.
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Fair & Transparent Compensation — Pay is generally characterized as on par with industry standards and often described as fair or above average, with stronger competitiveness in certain roles and at higher seniority. The overall picture suggests a “solid but not standout” base-compensation experience that can feel better when variable pay or role leverage is higher.
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Wellbeing & Lifestyle Benefits — Well-being programs are positioned as a notable strength, including mental-health resources and support tools such as Headspace access, an EAP, and financial-wellness offerings. These lifestyle-oriented extras appear to elevate the perceived total rewards value beyond salary alone.
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Parental & Family Support — Family-support benefits are highlighted through caregiving assistance (e.g., Care.com access) and the presence of maternity and paternity/partner leave. The existence of dedicated family and caregiver support contributes positively to the overall benefits perception.
Manhattan Associates Insights
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What We Do
For more than 30 years we have earned a reputation for building technology solutions that solve the most complex business problems in supply chain, inventory and omnichannel.
