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Data Science Trading Jobs (NOW HIRING)

Westrock

Sr. Anlst, Data Science & Eng

Atlanta, GA · On-site +1

$82K - $104K/yr

Develop EDI maps and set up new Trading Partners. * Create EDI transaction testing scenarios ... Data Science and Engineering Analyst-related occupation. Position requires five (5) years of ...

ADUSA Distribution

Manager Data Science

Quincy, MA · On-site

The Manager Data Science is responsible for leading advanced analytical modeling and capacity ... Design and execute scenario analysis to evaluate trade-offs related to demand variability, labor ...

DraftKings

Data Science Manager, Marketing

Boston, MA · On-site

The Crown Is Yours As a Data Science Manager, you drive strategy and execution to power ... Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As ...

The Trade Desk

Data Scientist II

Irvine, CA

$130K - $170K/yr

Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk ... Develop custom data science solutions from first principles, leveraging advanced techniques in ...

ADUSA Transportation

Manager Data Science

Quincy, MA · On-site

The Manager Data Science is responsible for leading advanced analytical modeling and capacity ... trade-offs related to demand variability, labor and asset capacity, network changes, and service ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Skills / Experience * 8+ years in data science or Applied ML roles; 3+ years of experience in ... Promotional & Trade Analytics - Modelling promotional uplift, baseline vs incremental volume splits ...

TradeStation Group, Inc.

Principal Data Scientist

... trading platform, client experience, and business operations. Reporting to the Sr. Director of AI, Data Science & Enterprise Data, this role will own the full data science lifecycle - from ...

TradeStation

Principal Data Scientist

... trading platform, client experience, and business operations. Reporting to the Sr. Director of AI, Data Science amp; Enterprise Data, this role will own the full data science lifecycle -- from ...

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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 Jun 12, 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 features. Data scientists often use this rule to focus on the most impactful variables or models to optimize performance efficiently.

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.

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 commonly applied in trading environments to improve strategies and optimize performance.

How much do NYSE data scientists make?

Data scientists working in financial trading environments, such as at the NYSE, typically earn between $90,000 and $150,000 annually, depending on experience, education, and skill set. Senior roles or those with specialized skills in machine learning and quantitative analysis can earn higher salaries, often exceeding $200,000 with bonuses and incentives.

Is 40 too late for data science?

Data science trading roles are open to candidates of various ages, and starting a career at 40 is feasible with relevant skills in programming, statistics, and data analysis. Many professionals successfully transition into data science later in their careers by gaining certifications and practical experience.
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Data Science Trading jobs near you
Sr. Anlst, Data Science & Eng

Sr. Anlst, Data Science & Eng

Westrock

Atlanta, GA • On-site, Remote

$82K - $104K/yr

Full-time

Posted 15 days ago

Job description

General Information
Job ID
ATR62773
Posting Job Title
Sr. Analyst, Data Science & Engineering
Locations
GA WFH Georgia
Employment Type
Full Time
Date Posted
28-May-2026
Relocation Support
No
Description & Requirements
Smurfit Westrock (NYSE:SW) is the go-to leader and partner of choice in sustainable packaging. We are dedicated to creating efficient and scalable paper and packaging solutions to help solve complex packaging challenges. Guided by our values of safety, loyalty, integrity and respect, we are committed to delivering meaningful value for shareholders, customers, employees and the communities where we operate.
Employer: WestRock Services, LLC (d/b/a Smurfit Westrock)
Job Title: Sr. Analyst, Data Science & Engineering (multiple openings)
ATR: ATR62773
Job Location: 1000 Abernathy Road NE, Atlanta, GA 30328
Job Type: Full Time
Travel: Yes - Domestic travel required 10%-20% of the time to worksite locations
Telecommute: Yes
Job Duties:
  • Evaluate and implement data engineering technology, tools, and frameworks leveraging the Integration platform and cloud services supporting WestRock's integrations investments.
  • Drive strategic vision for API, EAI, EDI and B2B integrations within WestRock
  • Establish best practices in Integration technologies and develop self-servicing tools.
  • Maintain the health of infrastructure that supports integrations.
  • Build and maintain Integration platforms and services using webMethods.
  • Define mapping requirements.
  • Develop and support complex interfaces between internal business systems using various adapters, file-based mechanisms, batch and real-time processing.
  • Develop EDI maps and set up new Trading Partners.
  • Create EDI transaction testing scenarios, perform testing and partner onboarding.
  • Work with trading partners to establish connectivity and test EDI documents.
  • Coordinate with ERP/O2C teams to test and integrate documents for new partners.
  • Setup middle-ware configurations for data routing.
  • Work with backend application teams to complete EDI setups.
  • Troubleshoot configuration issues, mapping errors, EDI compliance errors and data issues
  • On call production support
  • Code Review
  • Design integrations

Position can be performed from anywhere in the U.S. Domestic travel required 10%-20% of the time to worksite locations
Requirements:
Employer will accept a bachelor's degree in computer science, Industrial Engineering, Management Information Systems, or related field and five (5) years of progressive, postbaccalaureate experience in job offered or in a Data Science and Engineering Analyst-related occupation.
Position requires five (5) years of experience in the following:
  1. Experience with IBM (Software AG) products such as: IntegrationServer/Trading Networks; BrokerServer/Universal Messaging; Business ProcessManagement Suite (BPMS); Adapters; MWS; TNConsole; Deployer; webMethods flow/Javaservices and configuration;
  2. Experience in EDI structures and looping concepts
  3. Experience of setting up/configuring partner profiles, trading partner agreement, processingrules in MWS
  4. Experience with ANSI X12, EDIFact, cXML supply chain transactions
  5. Experience with VANs, understanding of communication protocols such as FTP, SFTP, FTPS AS2, etc.
  6. Experience with IDOC standards
  7. Experience with adapters such as JDBC, MQ, SAP, etc.
  8. Experience with webMethods Administration.

Contact: Email resume to: greg.keller@westrock.com (ATR62773) must be included in resume, cover letter, and subject line.
Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.

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