Data Scientist — ML Solutions for Client Growth (Newark)

Vertex Ridge Solutions; Newark (NJ); Presencial; USD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement plans

Professional development

Descripción de la vacante

Vertex Ridge Solutions in Newark, NJ is seeking a Data Scientist for a full-time role focused on building data-driven solutions for clients and driving business growth. You will analyze data, develop models, and deliver insights while collaborating with a cross-functional team in a modern workspace.

The ideal candidate has a degree in data science, computer science, or related fields and is proficient in Python and R, with experience in ML and statistical analysis.

Formación

• Bachelor's degree in CS, Statistics, Mathematics or related field.
• 2–5 years of experience in data science or related field.
• Strong programming skills in Python and/or R.

Responsabilidades

• Analyze large datasets to extract meaningful insights and support data-driven decision making.
• Develop and maintain data models, algorithms, and machine learning systems.
• Collaborate with cross-functional teams to identify and solve complex business problems.
• Create data visualizations and dashboards to communicate insights effectively.
• Stay up-to-date with data science trends and technologies.
• Mentor junior team members in data science journey.

Conocimientos

Python

R

Data analysis

Communication

Team collaboration

Educación

Bachelor's degree in Computer Science, Statistics, Mathematics

Herramientas

Tableau

Power BI

Descripción del empleo

Vertex Ridge Solutions in Newark, NJ is seeking a Data Scientist for a full-time role focused on building data-driven solutions for clients and driving business growth. You will analyze data, develop models, and deliver insights while collaborating with a cross-functional team in a modern workspace.

The ideal candidate has a degree in data science, computer science, or related fields and is proficient in Python and R, with experience in ML and statistical analysis.