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Data Science Trading Jobs (NOW HIRING)

Data Science Developer, Chicago, IL We are seeking a talented Data Science Developer candidate to ... Responsibilities: - Develop processes to collect and analyze data for automated trading systems ...

You will be working closely with the product and risk and trading teams, modeling player ... This role will also manage and develop other data scientists. You will promote effective ...

You will be working closely with the product and risk and trading teams, modeling player ... This role will also manage and develop other data scientists. You will promote effective ...

You will be working closely with the product and risk and trading teams, modeling player ... This role will also manage and develop other data scientists. You will promote effective ...

The Data Science team develops machine learning solutions, recommendation systems, experimentation ... Communicate insights, trade-offs, and recommendations clearly to both technical and non-technical ...

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...

This role will lead multiple data science team members with a significant portfolio of initiatives ... Ability to make informed trade-offs across modeling approaches, data pipelines, tooling, and ...

This role will lead multiple data science team members with a significant portfolio of initiatives ... Ability to make informed trade-offs across modeling approaches, data pipelines, tooling, and ...

Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... trading to improve profitability and decision speed. * Executes complex AI initiatives from ...

Experience building multi-objective optimization engines to navigate complex trade-offs using ... Data Science * Data Visualization * Digital Fluency * Econometric Models * Organizing * Process ...

New

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... Experience building multi-objective optimization engines to navigate complex trade-offs using ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... Experience building multi-objective optimization engines to navigate complex trade-offs using ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... Experience building multi-objective optimization engines to navigate complex trade-offs using ...

Director of Data Science Position Summary We are seeking a Director of Data Science to design ... operational trade-offs. * Lead signal development for transportation intelligence products ...

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Data Science Trading information

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$24K

$115.8K

$211K

How much do data science trading jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science trading in the United States is $115,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $159,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data science trading?

To thrive in Data Science Trading, you need strong quantitative analysis, statistical modeling, and programming skills, usually supported by a degree in a quantitative field like mathematics, finance, or computer science. Proficiency in Python, R, SQL, and experience with machine learning frameworks and trading platforms such as Bloomberg or QuantConnect are commonly required. Excellent problem-solving, collaboration, and the ability to communicate complex concepts clearly are standout soft skills. These capabilities are crucial for building, optimizing, and explaining data-driven trading strategies in fast-paced financial environments.

What is a data science trading?

A Data Science Trading job involves using data analysis, machine learning, and statistical modeling to develop trading strategies and optimize financial decision-making. Professionals in this field work with large datasets, build predictive models, and implement algorithms to identify market patterns and trading opportunities. They collaborate with traders and quantitative analysts to enhance trading performance and manage risk. Strong programming skills in Python, R, or SQL, along with expertise in finance and mathematics, are essential for success in this role.

What does a data science trading do?

Data Science Trading professionals typically analyze large financial datasets, develop algorithmic trading models, and monitor the performance of existing strategies. A typical day might include collaborating with traders and engineers, implementing new statistical techniques or machine learning algorithms, and backtesting strategies against historical market data. Routine tasks also involve writing code to automate processes, conducting risk assessments, and presenting insights to stakeholders. This role is highly collaborative and requires adapting to rapidly changing market conditions, making each day dynamic and intellectually challenging.

Is data science good for trading?

Data science is valuable in trading roles for analyzing large datasets, developing predictive models, and automating decision-making processes. Skills in programming, statistics, and machine learning are essential, and professionals often use tools like Python, R, and SQL to support trading strategies. Success in this field depends on strong analytical abilities and understanding financial markets.
More about Data Science Trading jobs

What cities are hiring for Data Science Trading jobs?

Cities with the most Data Science Trading job openings:

What are the most commonly searched types of Data Science Trading jobs?

The most popular types of Data Science Trading jobs are:

What states have the most Data Science Trading jobs?

States with the most job openings for Data Science Trading jobs include:

Infographic showing various Data Science Trading job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,802 per year, or $55.7 per hour.

Data Science Developer

Next Step Systems

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago


Job description

Data Science Developer, Chicago, IL
We are seeking a talented Data Science Developer candidate to contribute to the enhancement of an automated trading system. This critical role combines elements of large-scale data management, algorithm implementation and process management. The successful Data Science Developer must be a team player, have the ability to build scalable processes, and have effective problem-solving and communication skills.
Responsibilities:
- Develop processes to collect and analyze data for automated trading systems.
- Define and implement new procedures as needed for data collection and analysis.
- Improve process for requesting, parsing, and storing external data from multiple sources.
- Support and enhance web applications.
- Support the financial engineers with their data and script writing requirements.
- Develop standardized interfaces between data and trading systems.
- Develop and maintain documentation and standards.
- Identify, track, and maintain metrics for trading system operations.
- Identify and respond to system incidents and problems, including performing troubleshooting.
procedures and escalating as necessary.
- Select and implement software tools to support execution and management of procedures.
- Work with colleagues to identify and develop opportunities to enhance and improve trading system.
procedures.
Qualifications:
- BS/BA degree required. (Coursework in Statistics, Finance, or Computer Science preferred.)
- 3+ years of relevant Python scripting experience.
- 2+years of relevant work experience in financial markets.
- Strong database knowledge; SQL, Postgres, MySQL, etc.
- Linux experience required.
- Experience with Perl preferred.
- Experience with a Python web framework (e.g., bottle, flask) preferred.
- Experience with a JavaScript MVC framework (e.g., backbone, angular) preferred.
- Experience with Hadoop preferred.
- Highly detail-oriented and well-organized.
- Able to multi-task and work under pressure.
- Capable of building scalable and robust processes.
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago IL Jobs, Data Science Developer, Python Scripting, Perl, SQL, Postgres, MySQL, JavaScript MVC Framework, Hadoop, Software Engineer, Software Developer, Programming, Programmer Analyst, Financial, Trading, Chicago Recruiters, IT Jobs, Chicago Recruiting
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We help companies that are looking to hire Data Science Developers candidate for jobs in Chicago IL and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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