Data Scientist

Position Title: Sr. Data Scientist Location: Onsite Ewing, NJ Local to Jersey Data Science and AI experience, experience with Fabric/Synapse, OneLake, Power Platform, CI/CD are important.   POSITION TITLE: SR. DATA SCIENTIST ESSENTIAL DUTIES AND RESPONSIBILITIES Other duties may be assigned. ·      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 EDUCATION and/or EXPERIENCE ·      Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field is preferred ·      5+ 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 ·      8+ years of programming including tools such as Power BI and languages such as Python, SPARK, SQL etc. ·      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 modeling ·      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 [Upgrade to PRO to see contact]