

Senior Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Scientist focused on supply chain management and optimization, offering a contract position in a hybrid setting in Boca Raton, FL. Key requirements include 5+ years of experience, expertise in Python, SQL, and Azure technologies.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 18, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Boca Raton, FL
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π§ - Skills detailed
#Scala #Statistics #Cloud #Computer Science #Data Manipulation #Azure #Oracle #TensorFlow #Data Analysis #Azure SQL #AI (Artificial Intelligence) #Visualization #ML (Machine Learning) #Leadership #Azure Synapse Analytics #Data Mining #PyTorch #NumPy #SQL (Structured Query Language) #Azure cloud #Microsoft Power BI #Databases #Data Science #Forecasting #Libraries #Synapse #BI (Business Intelligence) #Python #Mathematics #Datasets #Pandas #Deployment
Role description
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Senior Data Scientist - SCM and Optimization
Hybrid - Boca Raton FL
Contract
As a Senior Data Scientist, you will be instrumental in leveraging data to solve intricate supply chain challenges. You'll be responsible for the full lifecycle of machine learning models, from initial design and development to seamless deployment into production for end-user consumption. Your expertise will directly contribute to optimizing our supply chain operations and enhancing business efficiency.
Key Responsibilities
β’ Model Development: Design, implement, and optimize machine learning models to tackle critical supply chain issues like demand forecasting, inventory optimization, and logistics planning. You'll primarily utilize the Microsoft technology stack, including Azure AI Foundry, Azure ML, Azure SQL Managed Instance, and Azure Synapse Analytics.
β’ Data Analysis: Apply advanced statistical analysis and data mining techniques to interpret complex datasets, uncovering valuable trends, patterns, and anomalies.
β’ Deployment: Collaborate with architects to seamlessly deploy machine learning models into production environments, ensuring they are scalable, performant, and fully integrated with existing systems.
β’ Collaboration: Work closely with cross-functional teams, including business stakeholders, end-users, and IT, to understand business needs and translate them into robust, data-driven solutions.
β’ Presentation: Clearly and concisely present findings, complex models, and statistical outputs to leadership and stakeholders, ensuring actionable insights are conveyed effectively.
β’ Use Case Development: Identify various business opportunities and assess underlying data to determine potential value propositions for advanced analytics solutions, recommending the best approach.
Qualifications
β’ Education: A degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
β’ Experience: At least 5 years of experience as a data scientist, with a strong emphasis on supply chain management and problem-solving.
β’ Technical Skills: Proficiency in Python and experience with data manipulation libraries (Pandas, NumPy).
β’ Experience with Oracle Databases and strong SQL skills.
β’ Experience with machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).
β’ Familiarity with Azure cloud platforms and data warehousing solutions.
β’ Communication Skills: Exceptional ability to present complex data insights and models to non-technical stakeholders in a clear and compelling manner.
β’ Analytical Mindset: Proven problem-solving skills with a strong focus on data-driven decision-making.
Preferred Qualifications
β’ Experience with supply chain optimization tools and methodologies, particularly within the Automotive Industry.
β’ Knowledge of data visualization tools such as Power BI to effectively communicate findings.
β’ Experience with Microsoft Fabric.
Sesheng Company is an equal opportunity employer and values diversity. All employment decisions are based on qualifications, merit, and business need. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.