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Data Scientist Stock Market Jobs (NOW HIRING)

AAR

Data Scientist

Wood Dale, IL · On-site

The Data Scientist will define, build, and continuously improve the analytical and machine learning ... Design, develop, and own scalable analytical and machine learning models for market sizing ...

New

AAR Corporation

Data Scientist

Wood Dale, IL

The AAR Parts Supply Distribution Analytics Team are developing an AI-driven aviation market ... The Data Scientist will define, build, and continuously improve the analytical and machine learning ...

New

Unchain Data

Data Scientist (Product)

Manhattan, NY · On-site

$100 - $250/hr

Our vision: well... build the largest financial market on the planet. * Our mission: bring more ... At Kalshi, Data Scientists sit at the center of the company and are embedded across Product ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

... Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave ... market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an ...

Market America

Data Scientist

Monterey, CA · On-site

Market America is seeking a Data Scientist supporting our product, engineering, leadership and marketing teams with insights gained from analyzing company data. In this role you will be adept at ...

New

LexisNexis

Data Scientist

Alpharetta, GA · On-site

... market. About the Role A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also ...

LexisNexis Risk Solutions

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

... market.**About the Role**A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also ...

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

... Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave ... market data, applicable bargaining agreement (if any), or other law.

Leidos

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

... Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave ... market data, applicable bargaining agreement (if any), or other law.

GRVTY

Data Scientist

Chantilly, VA · On-site

The tech stack used is extremely broad - anything cutting edge in the commercial market, the open ... This project regularly needs various types of people - Data Scientists, Data / ETL Engineers ...

Far Coder

Data Scientist

Oakland, CA · On-site

$175.35 - $214.32/hr

# Remote Data Scientist Job at EarnestUSA6 hours agoFull TimeUSA$25000 - $40000 ... Employee Stock Purchase Plan* Restricted Stock Units (RSUs)* 401(k) plan to help you save for ...

RELX

Data Scientist

Alpharetta, GA

... market. About the Role A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also ...

Cypress HCM

Data Scientist

San Jose, CA · On-site

$105.63/hr

Data Scientist Job Details * Data Scientist (Contract) * Location: San Jose CA 95110 (Hybrid ... Serve as the Business liaison, working across all growth pillars and the Finance and Go-To-Market ...

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

... market. About the Role A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also ...

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All JobsData Scientist Stock Market Jobs

Data Scientist Stock Market information

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$46K

$165K

$243.5K

How much do data scientist stock market jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist stock market in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a data scientist stock market position?

To thrive as a Data Scientist Stock Market, you need a strong background in statistics, machine learning, data analysis, and financial modeling, typically supported by a degree in a quantitative field. Proficiency in Python, R, SQL, and data visualization tools, as well as familiarity with financial data platforms like Bloomberg or FactSet, is highly valued; certifications like CFA or FRM can also be advantageous. Excellent problem-solving, communication, and collaboration skills set standout professionals apart, as they often work with cross-functional teams. These skills and qualities are crucial for generating actionable insights, driving investment decisions, and adapting to the fast-paced, data-driven environment of the financial markets.

What is a data scientist stock market?

A Data Scientist in the Stock Market analyzes financial data, detects patterns, and builds predictive models to support investment decisions. They use machine learning, statistical analysis, and big data tools to assess market trends, risks, and opportunities. Their work helps traders, portfolio managers, and financial institutions optimize strategies and improve returns.

What are the typical daily responsibilities of a data scientist stock market?

A Data Scientist in the stock market typically spends their day gathering and cleaning large sets of financial data, analyzing trends, and developing predictive models to forecast market movements. They frequently backtest investment strategies, create dashboards or reports to communicate findings, and collaborate closely with portfolio managers, traders, or financial analysts to implement data-driven decisions. Staying current with market events and continuously refining algorithms is also an important part of the role. This dynamic environment often requires adaptability, as priorities can shift rapidly based on market conditions.

More about Data Scientist Stock Market jobs
What are the most commonly searched types of Data Scientist Stock Market jobs? The most popular types of Data Scientist Stock Market jobs are:
What states have the most Data Scientist Stock Market jobs? States with the most job openings for Data Scientist Stock Market jobs include:
What job categories do people searching Data Scientist Stock Market jobs look for? The top searched job categories for Data Scientist Stock Market jobs are:
Data Scientist Stock Market jobs near you
Infographic showing various Data Scientist Stock Market job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

AAR

Wood Dale, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

AAR Corp rating

7.8

Company rating: 7.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

23rd of 65 rated aviation services

Job description

Description
The AAR Parts Supply Distribution Analytics Team are developing an AI-driven aviation market intelligence tool designed to transform how aviation parts distribution businesses understand market share, identify growth opportunities, and make strategic decisions. This platform combines advanced analytics, machine learning, agentic AI, and intuitive user experience to provide real-time insights into customers, parts, and markets.
The Data Scientist will define, build, and continuously improve the analytical and machine learning models that power the platforms core decision-making capabilities. This role translates complex business problems into scalable, production-ready models that drive market sizing, forecasting, and opportunity identification. The Data Scientist partners closely with product, engineering, and data teams to ensure models are accurate, explainable, and embedded into real-world workflows. Success in this role requires strong technical depth, business intuition, and the ability to operate in ambiguous, data-rich environments.
This position is based at our Corporate Headquarters in Wood Dale, IL, with a planned relocation to the Merchandise Mart (Chicago) in early 2027.
What you will be responsible for:
  • Design, develop, and own scalable analytical and machine learning models for market sizing, forecasting, opportunity identification, and optimization use cases.
  • Translate ambiguous business problems into structured modeling approaches, including feature engineering, model selection, and evaluation frameworks.
  • Design and analyze experiments, statistical tests, and validation methods to measure model quality and business impact.
  • Deploy and integrate models into production systems in collaboration with data engineering and backend teams, ensuring reliability, scalability, and performance.
  • Work with large, complex, and imperfect datasets; define data requirements and support robust preprocessing and feature pipelines.
  • Ensure model outputs are explainable, interpretable, and aligned with business logic to support user trust and adoption.
  • Monitor, validate, and improve model performance through testing, retraining, versioning, and feedback loops.
  • Partners with product teams to define analytical features, influence roadmap decisions, and embed model-driven insights into decision-making workflows.

Qualifications
What you need to be successful in this role:
  • Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing.
  • Proficiency in Python and SQL, with experience using common ML libraries such as scikit-learn, pandas, and numpy.
  • Experience building end-to-end ML workflows, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
  • Familiarity with production ML practices, including model versioning, performance optimization, retraining, and monitoring for drift or degradation.
  • Experience working with large-scale or complex datasets, including handling missing data, inconsistencies, and real-world data limitations.
  • Ability to communicate model logic, assumptions, and outputs clearly to non-technical stakeholders and cross-functional partners.
  • Experience collaborating with product managers, data engineers, and software engineers to deliver analytical features in production environments.
  • Strong problem-solving skills and the ability to operate effectively in ambiguous environments with evolving requirements.
  • Bachelors in data science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field.
  • Master's degree preferred
  • 3 to 5 plus years of experience in data science, machine learning, or advanced analytics roles in a product or business-driven environment.
  • Demonstrated experience developing, deploying, and improving predictive models that drive business decision-making.
  • Experience working on analytics or ML-driven products such as forecasting, optimization, recommendation systems, or market intelligence tools.
  • Experience in designing experiments or statistical validation approaches to evaluate model performance and business outcomes is preferred.
  • Experience with cloud platforms or distributed data processing such as AWS, Azure, or Spark is preferred but not required.
  • Experience in aviation, supply chain, or related industries is a plus but not required.

The rewards of your career at AAR go far beyond just your salary:
  • Competitive salary and bonus package
  • Comprehensive benefits package including medical, dental, and vision coverage.
  • 401(k) retirement plan with company match
  • Generous paid time off program
  • Professional development and career advancement opportunities

Physical Demands/Work Environment:
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• While performing the duties of this job, the employee may be regularly required to sit, stand, bend, reach and move about the facility.
• The environmental characteristic for this position is an office setting.
• Candidates should be able to adapt to a traditional business environment.
AAR provides accommodation in accordance with applicable laws through all stages of the hiring process. If you require accommodation for any part of the application and/or hiring process, please advise Human Resources.
Compensation:
The anticipated salary range for this position is $115,000 to $130,000 annually. This range reflects the base salary for candidates who meet the requirements of the role, including experience, education, and location. In addition to base pay, this role is eligible for a bonus. AAR offers a competitive benefits package, including medical/dental/vision/life/and AD&D insurance, 401(k) savings plan with employer match, paid time off and holiday pay, as well as opportunities for professional development and growth.
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