Data Scientist

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 seeks a Data Scientist to join our team in St. Louis, MO. This full-time role offers a negotiable salary and is open until November 23, 2026.

As a Data Scientist, you will be responsible for analyzing complex datasets to identify patterns, trends, and insights that can inform investment strategies. This involves cleaning and preprocessing raw data, handling missing values, and ensuring data quality. You will develop and implement predictive models using machine learning algorithms to forecast market trends and investment performance. Additionally, you will create comprehensive data visualizations, such as charts, graphs, and dashboards, to effectively communicate your findings to stakeholders. These visualizations will help support data-driven investment decisions and enhance the understanding of market dynamics. Your role will also include collaborating with cross-functional teams to gather requirements, validate models, and ensure the accuracy and reliability of the data used for investment analysis.

You will collaborate with a team of financial analysts and portfolio managers in our St. Louis office, contributing to our data-driven investment strategies.

The salary for this position is negotiable, and the benefits package may include comprehensive health insurance, retirement plans with employer matching contributions, and opportunities for professional development, such as workshops, conferences, and online courses. Additionally, the company may offer flexible work arrangements, paid time off, and wellness programs to support employee well-being.

You should have a Master's degree in Data Science, Statistics, or a related field, along with 3-5 years of experience in data analysis and machine learning.

Responsibilities

• Develop and implement data-driven solutions to enhance our investment strategies
• Analyze large datasets to identify trends and patterns that inform our decision-making
• Build and maintain predictive models to forecast market trends and investment opportunities
• Collaborate with our team of analysts and portfolio managers to translate data insights into actionable strategies
• Stay up-to-date with the latest advancements in data science and machine learning
• Communicate your findings effectively to both technical and non-technical stakeholders

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
• 2+ years of experience in a data science or analytics role, preferable in the finance industry
• Strong programming skills in Python or R
• Experience with machine learning algorithms and techniques
• Familiarity with SQL and database management
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Strong communication and presentation skills