Investment Data Scientist — ML, Dashboards, & Insights

Onyx Global Partners; St. Louis (MO); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plans with employer match

Professional development (workshops, C

Flexible work arrangements

Paid time off

Wellness programs

Job summary

Onyx Global Partners in St. Louis, MO is seeking a Data Scientist to analyze complex datasets, clean and preprocess data, and develop predictive models to forecast market trends and investment performance.

You will create comprehensive visualizations to communicate findings to stakeholders, collaborate with financial analysts and portfolio managers, and contribute to data-driven investment strategies while advancing your skills through workshops and courses.

Qualifications

• Master's degree in Data Science, Statistics, or a related field.
• 3–5 years of experience in data analysis and machine learning.
• Strong programming skills in Python or R.
• Experience with SQL and database management.
• Experience in data cleaning, preprocessing, and validating data quality.
• Ability to translate data into actionable investment insights.

Responsibilities

• Develop and implement data-driven solutions to enhance investment strategies.
• Analyze large datasets to identify trends and inform decision-making.
• Build and maintain predictive models to forecast market trends and opportunities.
• Collaborate with analysts and portfolio managers to translate insights into strategies.
• Stay up-to-date with the latest data science and ML advancements.
• Communicate findings effectively to technical and non-technical stakeholders.

Skills

Python

R

Machine learning

SQL

Education

Masters in Data Science or Statistics

Bachelor's in Data Science/Statistics/Math/CS

Job description

Onyx Global Partners in St. Louis, MO is seeking a Data Scientist to analyze complex datasets, clean and preprocess data, and develop predictive models to forecast market trends and investment performance.

You will create comprehensive visualizations to communicate findings to stakeholders, collaborate with financial analysts and portfolio managers, and contribute to data-driven investment strategies while advancing your skills through workshops and courses.