Data Scientist

Experis (Austria); Clark (NJ); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

HSA

FSA

Dependent Care FSA

Life Insurance

Disability Insurance

Travel Insurance

401(k) with match

Weekly Pay

Job summary

Experis in Clark, NJ seeks a Data Scientist to own end‑to‑end predictive ML and GenAI solutions from design to deployment and monitoring. The role emphasizes translating data into measurable business outcomes and clear dashboards, with strong emphasis on responsible performance.

You will work on end‑to‑end projects, collaborate with data engineers, and contribute to building GenAI capabilities and updated AI workflows in a hybrid Clark, NJ environment.

Qualifications

• Master's degree in data science, statistics, computer science, engineering, or related field.
• 3 years of hands‑on data science experience in predictive ML and GenAI.
• Strong Python skills, statistics, feature engineering, and model validation.
• GenAI experience including prompt engineering, retrieval-augmented architectures, vector databases, GenAI frameworks.

Responsibilities

• Design, develop, and deploy predictive models (regression, classification, clustering, time series, forecasting).
• Design and deploy GenAI-based solutions, including retrieval-augmented generation, agent-based systems, prompt engineering, and model adaptation or fine-tuning.
• Select the appropriate solution approach for each use case based on performance, cost, and business value.
• Evaluate and monitor models in production for performance, drift, bias, and cost considerations.
• Collaborate with Data Engineers to analyze large structured and unstructured datasets and translate outcomes into dashboards or storytelling.

Skills

Python programming

Statistics

Feature engineering

Model validation

Experimentation

Fluent English

Education

Master’s degree in data science or related field

Tools

SQL

Power BI

Tableau

Git

GenAI frameworks

Vector databases

Job description

The role supports the Data & AI team focused on Formulation and Product Development initiatives. As a Data Scientist, you will take end-to-end ownership for predictive machine learning and GenAI-based solutions, including design, development, deployment, and ongoing monitoring.

Role Responsibilities

• Design, develop, and deploy predictive machine learning models (regression, classification, clustering, time series, and forecasting) using structured data.
• Design and deploy GenAI-based solutions, including retrieval-augmented generation, agent-based systems, prompt engineering, and model adaptation or fine-tuning.
• Select the appropriate solution approach for each use case, choosing between predictive ML and GenAI based on performance, cost, and business value.
• Evaluate and monitor models in production, covering performance, drift, hallucinations, bias, and cost considerations.
• Collaborate with Data Engineers to explore, clean, and analyze large structured and unstructured datasets, then translate outcomes into measurable solutions and clear dashboards or storytelling.

Required Qualifications

• Master’s degree in data science, Statistics, Computer Science, Engineering, or a related field.
• 3 years of experience in data science, with hands‑on delivery in both predictive machine learning and GenAI in real projects.
• Strong Python skills, solid statistics, feature engineering, model validation, and experimentation practices for predictive ML.
• GenAI experience including prompt engineering, retrieval-augmented architectures, vector databases, GenAI frameworks, and evaluation of generated outputs.
• Advanced SQL, data visualization experience (Power BI, Tableau, or equivalent), and Git.
• Fluent English; French is a plus.

Tools and Technologies

• Python, SQL, Power BI, Tableau, Git
• Retrieval-augmented generation, prompt engineering
• Vector databases, GenAI frameworks
• Model adaptation and fine-tuning
• Agents

What’s In It For You

• End-to-end project ownership from problem framing through deployment, with the ability to deliver independently and proactively.
• Build predictive machine learning and GenAI solutions that support real business decisions.
• Participate in production model evaluation and monitoring with a focus on responsible performance and quality.
• Identify and propose new data and AI use cases that can create measurable impact.

Location and Work Model

Clark, NJ (Hybrid). Onsite attendance is 3 days per week.

Benefits

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay