Description

The Lead Python Application Developer will play a crucial role in enhancing ESG technology within the asset management or financial services sector. This position requires a deep understanding of machine learning tools and techniques, as well as proficiency in Python and relevant libraries. The ideal candidate will leverage their expertise to solve business problems through data analysis, model development, and performance evaluation.

Company Culture and Environment

Our company fosters a collaborative and innovative environment, where team members work closely with Data Scientists and Data Engineers. We value creativity, critical thinking, and a commitment to achieving business objectives through advanced technology solutions.

Career Growth and Development Opportunities

This role offers substantial opportunities for professional development and career advancement by engaging with cutting-edge technologies and methodologies in data science and machine learning.

Detailed Benefits and Perks

• Flexible hybrid work model (3 days a week in Iselin, NJ)
• Opportunities to work with modern technologies and tools
• Collaborative work environment with skilled professionals
• Focus on continuous learning and development

Compensation and Benefits

• Competitive salary based on experience
• Health, dental, and vision insurance
• Retirement savings plan with employer matching
• Generous vacation and paid time off policy
• Flexible working hours

Why you should apply for this position today

This is an exciting opportunity to make a notable impact in the ESG space within the financial services industry. By applying your skills in machine learning and data analysis, you can contribute meaningfully to the success of our projects while working with a talented team.

Skills

• Proficiency in Python and machine learning libraries (e.g., scikit-learn, pandas)
• Experience with machine learning tools (e.g., R, TensorFlow, SparkML)
• Familiarity with various modeling techniques (classification, regression, etc.)
• Understanding of data models and BI tools
• Knowledge of data visualization libraries (e.g., matplotlib, ggplot2) and tools (e.g., Power BI, Tableau)
• Experience with cloud computing technologies (e.g., AWS, Azure)

Responsibilities

• Create and maintain data flow designs and technical requirements documentation
• Develop models aligned with business objectives and create metrics to track their progress
• Demonstrate and evaluate the performance of various algorithmic approaches
• Analyze large datasets using modern technologies and implement systems for data collection and model training
• Collaborate with Data Scientists and Data Engineers to develop predictive algorithms
• Train models and tune their hyperparameters

Qualifications

• 7+ years of overall experience, with 1-3 years in an ESG technology-focused role
• Strong background in data science, statistics, or a related field

Education Requirements

• Bachelor’s or Master’s degree in computer science, data science, statistics, mathematics, or related field

Education Requirements Credential Category

• Degree in Computer Science or related field

Experience Requirements

• At least 7 years of experience in software development, with a focus on machine learning and data analysis
• Experience in asset management or financial services industry preferred

Why work in Glen Gardner, NJ

Glen Gardner offers a serene environment with convenient access to urban amenities. The area boasts picturesque landscapes and a close-knit community feel, making it ideal for work-life balance and personal growth.