Data Scientist

Role:
Data Scientist

Location:

Ewing, NJ, 08618 Model:
Onsite Type:
Contract Duration:
Long Term

If you are interested with the below job role then please reply with updated resume and Contact details

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, One Lake.

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.

While this position may not initially have supervisory responsibilities, this role is expected to provide technical leadership in data science and data analytics. This person is also expected to collaborate across GS1 US and lead cross‑functional teams as needed.

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