Data Science Specialist (Hybrid - NJ or PA)

Job Description

We are on a mission to revolutionize the way our company leverages cutting-edge advancements in data science and generative AI with our industry-leading technology stack. If you're passionate about driving innovation through the latest advancements in AI and making the enterprise future-ready for the next wave of AI and generative AI advancements, then this opportunity is for you!

You will join the Data Science Platforms team in our Chief Technology Office (CTO) Division and play a pivotal role in shaping the future of our AI/ML technology landscape. Reporting to Associate Director, this position is responsible for contributing to the company's top initiatives to leverage and productionize AI/ML at scale.

The ideal candidate is someone with a passion for AI/ML/generative AI  and an understanding of platforms enabling these technologies, along with a readiness to learn and experiment with emerging advancements.

In this role, you will/your responsibilities will be…

• Evaluate Cutting edge capabilities : be an early adopter of recent advancements and evaluate these for our company needs

• Data Preparation and Feature Engineering: Lead data cleaning, preprocessing, and feature engineering efforts to enhance model accuracy and reliability.

• Advanced Data Analysis: Conduct in-depth exploratory data analysis to uncover actionable insights and inform strategic business decisions.

• Model Development and Optimization: Design, develop, and optimize machine learning models, ensuring they meet performance and scalability requirements.

• Documentation and Best Practices: Build and Maintain comprehensive documentation of methodologies, processes, and model performance, while promoting best practices within the team.

• Deployment and Monitoring: Oversee the deployment and monitoring of machine learning and GenAI applications in production, ensuring they deliver measurable business value.

• Stakeholder Communication: Present findings and insights to stakeholders to drive broader adoption

• Cross-Functional Collaboration: Collaborate with product managers, engineers, and other stakeholders to deliver impactful solutions.

Required Education

• High School Diploma Required

Required Experience

• 3+ years of experience in data science, analytics, or a related field, with a strong focus on model development and deployment.

• Proficiency in programming languages such as Python or R, with experience in data manipulation libraries (e.g., pandas, NumPy).

• Strong expertise in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and advanced model evaluation techniques.

• Proven Experiences in Working with generative AI use cases (e.g. - RAG application , GenAi based Chatbots ,  Agentic AI workflows) . 

Preferred Experience

• Familiarity with cloud services (e.g., AWS) and their application in data science projects.

• Relevant experience working with data science platforms like Dataiku or databricks for building and deploying data science projects .

• Experience with MLOps tools and practices for deploying and managing machine learning models.

MSJR

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Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.  As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: