Data Scientist/Analyst

Jobs via Dice; Princeton (NJ); Hybrid; Full time

Job summary

A leading company with a strong focus on technology is seeking a Data Scientist/Analyst for a hybrid role in Princeton, NJ. The successful candidate will be involved in various tasks supporting Commercial Analytics functions, specializing in machine learning and AI applications. This is a contract position requiring expertise in data handling and model implementation, providing opportunities to work collaboratively with skilled teams in a dynamic environment.

Benefits

Comprehensive medical benefits

Competitive pay

401(k) retirement plan

Qualifications

• 3+ years of work experience in data analysis, machine learning, and AI applications.
• High level of proficiency in SQL and quantitative programming (Python, R, MATLAB).
• Strong communication skills to translate complex data into actionable insights.

Responsibilities

• Collect, clean, and preprocess large datasets for quantitative analysis.
• Develop and implement machine learning models for predictive analytics.
• Collaborate with cross-functional teams to integrate AI solutions.

Skills

Machine Learning

AI Applications

SQL

Python

Data Visualization

Education

Bachelor's degree in Data Science or related field

Master's degree preferred

Tools

TensorFlow

PyTorch

Scikit-Learn

Tableau

Power BI

AWS

Job description

Join to apply for the Data Scientist/Analyst role at Jobs via Dice

Join to apply for the Data Scientist/Analyst role at Jobs via Dice

Dice is the leading career destination for tech experts at every stage of their careers. Our client, INSPYR Solutions, is seeking the following. Apply via Dice today!

Title: Data Science Analyst

Location: Hybrid in Princeton, NJ (08540)

Duration: Contract/Contract-to-Hire

Work Requirements: , Holders or Authorized to Work in the US. W2/Direct employment only.

Pay Rate Range: $43-$57/hr W2

Key Points:

• This position is onsite 3-4 days a week in Princeton, NJ. Non-local candidates will not be considered unless they are willing to relocate on their own.
• Previous experience in machine learning and/or AI is a requirement for this position
  
  

Summary

This position will be involved in a diverse range of activities supporting Commercial Analytics functions. This position will be embedded in the Structure and Fundamentals team and will focus on enhanced data driven solutions in support of team s activities. While our focus is for AI expertise, this role will support a much broader range of data science activities and provides meaningful exposure to and engagement in Commercial Analytics work product.

Responsibilities:

• Collect, clean, and preprocess large datasets to ensure high-quality data for quantitative analysis including AI applications.
• Develop and implement machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven insights.
• Implement solutions that improve efficiency of team activities.
• Analyze and interpret complex data structures to derive meaningful business insights.
• Collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to integrate AI solutions into group workflows.
• Optimize and fine-tune AI models to enhance accuracy, efficiency, and scalability.
• Stay up to date with the latest advancements in AI, machine learning, and data science technologies.
• Create data visualizations and dashboards to communicate findings to stakeholders effectively.
• Document methodologies, processes, and findings to maintain transparency and reproducibility.
  
  

Qualifications:

• Bachelor's degree, Master's degree preferred, in data science, computer science, quantitative finance, statistics, or mathematics
• 3+ years of work experience in data analysis, machine learning, and AI applications
• High level of proficiency in SQL and quantitative programming (Python, R, MATLAB).
• Experienced in dealing with large data sets.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-Learn.
• Strong knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Strong communication skills. Ability to translate complex data into actionable insights.
• The ability to manage multiple tasks independently and deadlines in a fast-paced environment.
• Ability to proactively seek new ideas and solutions to improve the status quo.
• Strong work ethic - reliable and accountable.
• Ability to work cooperatively with all levels of staff as part of a team.
• A commitment to the highest ethical standards and to act with professionalism and integrity.
  
  

Preferred Qualifications:

• Experience with Natural Language Processing (NLP) or Computer Vision.
• Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
• Exposure to deep learning techniques and neural networks.
• Understanding of MLOps principles and deployment of AI models in production environments.
  
  

Our benefits package includes:

• Comprehensive medical benefits
• Competitive pay, 401(k)
• Retirement plan
• and much more!
  
  

About INSPYR Solutions:

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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