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Data Science Trading Jobs (NOW HIRING)

Next Step Systems

Data Science Developer

Chicago, IL · On-site

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 ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Head of Data Science ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Head of Data Science ...

Rent the Runway

Manager, Data Science

New York, NY · On-site

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

Fanatics Collectibles

Director of Data Science

New York, NY · On-site

$336K - $356K/yr

... trading cards, sports memorabilia, and other digital assets; and bet as the company builds its ... Build the data science team and lead in data scientist recruitment process; Guide and coach data ...

Total Wine & More

Director, Data Science

Bethesda, MD · On-site

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 ...

Rock Connections

Manager, Data Science

Detroit, MI

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... Today, we're a publicly traded company involved in many different industries, including mortgages ...

Whatnot

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 ...

Totalwine

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 ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine ... Ability to understand commodity trading/energy sector datasets and business needs * Experience ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

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 Jul 26, 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 is the 80 20 rule in data science?

In data science trading, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or strategies to optimize model performance and decision-making.

What are the key skills and qualifications needed to thrive in the Data Science Trading position, and why are they important?

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.

Can a data scientist become a quant trader?

A data scientist can become a quant trader by applying skills in statistical analysis, programming, and machine learning to develop trading algorithms. Transitioning often requires understanding financial markets, risk management, and familiarity with tools like Python, R, and trading platforms. Additional certifications or experience in finance can facilitate this career shift.

What is a Data Science Trading job?

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 are some typical responsibilities and daily tasks for professionals working in Data Science Trading?

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 useful for trading?

Data science is highly useful for trading, as it enables analysts and traders to develop predictive models, identify market patterns, and make data-driven decisions. Skills in machine learning, statistical analysis, and programming tools like Python or R are often essential in this field.

Is 40 too late for data science?

Data science trading roles are open to candidates of all ages, and many professionals transition into data science later in their careers. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding financial markets. Age is less a barrier than relevant expertise and adaptability.
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:
What job categories do people searching Data Science Trading jobs look for? The top searched job categories for Data Science Trading jobs are:
Data Science Trading jobs near you
Infographic showing various Data Science Trading job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,802 per year, or $55.7 per hour.
Data Science Developer

Data Science Developer

Next Step Systems

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Posted 19 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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