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Data Scientist - Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform

Ewing Township, NJ, US • Posted 1 day ago • Updated 1 day ago

Contract W2

Contract Corp To Corp

Contract Independent

Travel Required

On-site

Depends on Experience

ALIS Software

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Power BI and languages such as Python
SPARK
SQL etc.
Azure ML
Fabric
Synapse Analytics
and Microsoft Power Platform

Summary

JOB DESCRIPTION

POSITION: Data Scientist
DURATION: Long term
Location: EWING, New Jersey - Hybrid

Roles & 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.

SUPERVISORY RESPONSIBILITIES

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.
Education And 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90709585
Position Id: 8938501
Posted 1 day ago

Company Info

About ALIS Software

ALIS specializes in Data Management and Data Analytics solutions to enable business transformation. We leverage our expertise and deep technical background to create comprehensive IT strategies, for a digital and technological transformation.

We offer services like Strategy Development, Solution Implementation and Operation & Support in three different engagement models – Consulting, Managed Services, and IT Staffing. We are headquartered in Austin, TX and having an offshore delivery center in India.

ALIS was established in 2014. Our leadership team is empowered with decades of experience in delivering enterprise solutions. Our team of experts has experience across multiple industries including banking, healthcare, insurance, manufacturing industries, and more.

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