Investment Data Scientist - Flexible Work & Growth

Linden North Partners; Omaha (NE); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plans with employer match

Professional development opportunities

Flexible work arrangements

Wellness programs

Paid time off

Job summary

Linden North Partners in Omaha, NE is seeking a Data Scientist for a full-time role. You will analyze complex investment data, build predictive models, and deliver data-driven insights to support investment decisions in a collaborative, innovative environment.

You will work with portfolio managers and analysts to clean data, visualize results, and implement data pipelines. The position emphasizes continuous learning and applying advanced analytics to real-world investment challenges.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, Math, CS)
• 2+ years in data science, ML, or related field with impactful outputs
• Proficiency in Python, R, or SQL

Responsibilities

• Develop and implement data-driven models and algorithms for investment data
• Collaborate with investment professionals to solve business problems with data analytics
• Clean, transform, and preprocess large, complex datasets for analysis
• Perform statistical analyses and create visualizations to communicate insights
• Stay updated with data science and ML advancements to improve strategies
• Document findings and recommendations for data-driven decisions
• Assist in developing and maintaining data pipelines and infrastructure
• Work with cross-functional teams to drive data-informed investment decisions

Skills

Data science

Python/R/SQL

Data visualization

Statistics

Machine learning

Communication

Problem solving

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Linden North Partners in Omaha, NE is seeking a Data Scientist for a full-time role. You will analyze complex investment data, build predictive models, and deliver data-driven insights to support investment decisions in a collaborative, innovative environment.

You will work with portfolio managers and analysts to clean data, visualize results, and implement data pipelines. The position emphasizes continuous learning and applying advanced analytics to real-world investment challenges.