Sr Data Scientist - Ewing, NJ - Full Time

Position:  Sr Data Scientist

Location: Ewing, NJ

Mode Of hire: Full Time

Mode Of Work: Hybrid Onsite (Tuesday& Wednesday)

Essential Duties And Responsibilities :

• Design, develop, and deploy predictive and prescriptive models and machine learning algorithms using Microsoft Azure ML, Power Platform, Python, and other relevant tools
• Ability to drive unified data analytics (prescriptive and predictive), and leverage tools such as  Power BI, Azure Synapse, OneLake.
• Collaborate with cross-functional technology, product, and business teams to understand data needs, translate them into algorithms and analytical solutions.  Need to be able to deliver solutions to production.
• Demonstrated expertise in modeling of unstructured, semi-structured and structured data.
• Analyze large datasets to uncover trends, patterns, and insights that inform business decisions
• Visualize data insights using dashboards and reports to communicate findings to stakeholders.
• Present findings and recommendations to technical and non-technical audiences
• Provide technical direction and best practices for modeling, data engineering, and analytics
• Establish good data management practices including data governance and MDM.
• Establish standards for data quality, model validation, predictive and prescriptive analytics
• Stay current with industry trends, emerging technologies, and best practices in data science and analytics.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field is preferred
• Five + years of hands-on experience with manipulating large data sets, identifying patterns, and developing inference and regression models that can be implemented. Digital supply chain and e-Commerce experience is strongly preferred
• Eight + years of programming including tools such as Power BI and languages such as Python, SPARK, SQL etc.
• Must have a good experience in AI .
• Experience with Fabric/Synapse, OneLake, Power Platform, CI/CD is Plus
• Hands-on expertise in Microsoft Azure ecosystem including Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform
• Ability to lead complex projects, define analytical strategy, and mentor junior data scientists and engineers
• Data governance, security, and scalability skills
• Significant experience with supervised and/or unsupervised Machine Learning algorithms
• Experience with predictive and prescriptive analytics is a must
• NLP and Gen AI experience is preferred
• Demonstrated expertise in machine learning, deep learning and statistical modelling
• Knowledge of CI/CD pipelines for model deployment
• Familiarity with Microsoft Dynamics 365 and other business applications is a plus
• Exceptional storytelling with data and ability to translate complex data into actional insights