Data Science Director

GS1 US•Ewing, NJ

48d•$135,000 - $170,000•Hybrid

About The Position

As a Data Science Director at GS1 US, you have the opportunity to join a dynamic organization that is constantly innovating and never stagnant. You will be responsible for leveraging data to drive strategic insights, optimize operations, and support innovation across our standards-based solutions. In return you’ll be rewarded with great pay and benefits in a hybrid work culture. You’ll work at a high-performance company with a world-class culture that invests in its employees. We don’t just say culture is important to us, we have the data to back it up.

Requirements

You bring a strong educational background, holding a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
You possess 5+ years of experience with manipulating large data sets, identifying patterns, and developing interference and regression models that can be implemented as well as 8+ years of programming expertise including tools such as Power BI and languages such as Python, SPARK, SQL etc.
Proficiency in the Microsoft Azure ecosystem—including Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform is essential, as is a solid command of Python and SQL programming.
You excel at leading complex projects, shaping analytical strategies, and mentoring junior data scientists and engineers.
Your expertise encompasses robust data governance, security, and scalability, with a proven track record in machine learning, deep learning, and statistical modeling.
Additionally, you are well-versed in CI/CD pipelines for model deployment.
You are experienced in working with third-party data providers and APIs and are familiar with Microsoft Dynamics 365 and other business applications.
You are a strong communicator with the ability to translate complex data into clear, actionable insights for a variety of audiences.

Responsibilities

Design, develop, and deploy predictive models and machine learning algorithms using Microsoft Azure ML, Python, and other relevant tools.
Leverage Microsoft Fabric for unified data analytics, including integration with Power BI, Azure Synapse, OneLake, and external datasets
Collaborate with cross-functional teams to understand data needs and translate them into analytical solutions. Must be able to deliver solutions to production.
Analyze structured and unstructured data 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.

Benefits

Health (medical, RX, dental, vision) - effective immediately
401(k) with Employer Safe Harbor and Profit Sharing Contributions - effective immediately
Short and Long Term Disability Coverage
Mental Health and Wellbeing (6 employer sponsored therapy and coaching sessions)
Individual Wellness Platform
Paid Parental Leave
Generous PTO and Company Paid Holidays
LinkedIn Learning
Tuition Reimbursement
Kudos (employee recognition and engagement platform)
Catered Lunches 2x/week on in office days