Data Scientist

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, a software development and IT consulting firm in Newark, NJ, seeks a Data Scientist for a FULL_TIME position. The role involves leveraging data to drive business growth and innovation. The salary is negotiable, and the position is open until November 22, 2026.

As a Data Scientist, you'll work with clients to develop and implement data-driven solutions. Your tasks include analyzing data, building models, and providing insights to address client challenges and opportunities. You'll also collaborate with team members to ensure solutions are effective and efficient.

You'll be part of a team in Newark, NJ, working in a collaborative environment. The workplace is modern and equipped with the latest tools and technologies to support your work. The team includes developers, analysts, and other professionals who share your passion for data.

The salary for this position is negotiable, and the comprehensive benefits package includes health insurance, retirement plans, and opportunities for professional development. During the hiring process, additional benefits may be discussed and tailored to the candidate's needs. The role is designed to provide a competitive work environment, with a focus on fostering growth and development. Employees can expect to have access to resources and support to help them advance in their careers. The company is committed to creating a positive and inclusive workplace, where all employees feel valued and supported.

To excel in this role, you should have a degree in Data Science, Computer Science, or a related field. Experience with data analysis tools and programming languages like Python and R is required. Knowledge of machine learning and statistical analysis is also necessary.

Responsibilities

• 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 the latest data science and machine learning trends and technologies
• Mentor and guide junior team members in their data science and machine learning journey

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• 2-5 years of experience in data science, machine learning, or a related field
• Strong programming skills in Python, R, or a similar language
• Experience with data visualization tools such as Tableau, Power BI, or similar
• Knowledge of statistical methods and machine learning algorithms
• Excellent communication and collaboration skills