Sr. Data Scientist
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Posted on:
2 hours ago
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1 Vacancy
Job Summary
Position Title: Sr. Data Scientist
Location: Ewing NJ
Type: Contract to Hire ( Visa independent)
GS1 US a member of GS1 is a not-for-profit organization that brings industry communities together to
solve supply-chain problems through the adoption and implementation of GS1 standards. More than
300000 businesses in 25 industries rely on GS1 US for trading-partner collaboration and for maximizing
the cost effectiveness speed visibility security and sustainability of their business processes. They
achieve these benefits through solutions based on GS1 global unique numbering and identification
systems barcodes Electronic Product Code-based RFID data synchronization and electronic
information exchange.
Summary
This role will be instrumental in leveraging data to drive strategic insights optimize operations and
support innovation across our standards-based solutions. The ideal candidate will have a strong
analytical mindset experience with large datasets and a passion for solving complex business problems
using data.
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
analytics.
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
analytics.
SUPERVISORY RESPONSIBILITIES
While this position may not initially have supervisory responsibilities this role is expected to provide
technical leadership in the area of data science and data analytics. This person is also be expected to
collaborate across GS1 US and lead cross-functional teams as needed.
GS1 US Job Description
EDUCATION and/or EXPERIENCE
- Bachelors or Masters 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
TRAVEL REQUIREMENTS
Up to 10%.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
