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Data Science Developer 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 contribute to the enhancement of an automated trading system. This critical role combines elements of ...

PaxeraHealth

Data Science Developer

Newton Center, MA · Remote

The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 (Hybrid) * Duration: 11/17/2025 to 11/13/2026 * Team: Fraud ADUS Key Responsibilities: * Develop and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

Booz Allen Hamilton

Data Science Engineer

Mclean, VA · On-site

$116K - $139K/yr

As a Data Science Engineer, you will develop workflows and platforms to transform complex data sets into meaningful information, collaborating with a multidisciplinary team to tackle global ...

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Data Science Developer information

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How much do data science developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data science developer in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What are some common challenges Data Science Developers face when integrating models into production environments?

Data Science Developers often encounter challenges in bridging the gap between developing models in experimental settings and deploying them into scalable, reliable production systems. Issues such as data inconsistencies, version control, and ensuring model reproducibility can arise. Additionally, collaborating effectively with DevOps and engineering teams to automate deployment pipelines and monitor model performance is crucial for long-term success. Understanding both machine learning and software engineering best practices helps overcome these hurdles and ensures smooth, efficient integration.

What is a data science developer?

A data science developer is a professional who combines skills in data analysis, programming, and software development to build and deploy data-driven applications and models. They often work with tools like Python, R, and SQL, and may be involved in creating algorithms, data pipelines, and machine learning solutions to support business decisions.

Is 40 too late for data science?

Data science developers can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary technical expertise and stay current with industry trends.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently, using tools like Python or R for analysis.

What are the key skills and qualifications needed to thrive as a Data Science Developer, and why are they important?

To thrive as a Data Science Developer, you need strong expertise in statistics, machine learning, programming (Python, R), and a background in computer science or a related quantitative field. Familiarity with data analysis tools (such as Pandas, NumPy, and scikit-learn), cloud platforms (like AWS or Azure), and experience with databases (SQL/NoSQL) are typically required, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams help you stand out. These skills are essential for building data-driven solutions that translate complex data into actionable business insights.

What is the difference between Data Science Developer vs Data Analyst?

AspectData Science DeveloperData Analyst
Required SkillsProgramming, machine learning, data modelingData visualization, statistical analysis, reporting
CertificationsData Science certifications, Python/R expertiseExcel, SQL, Tableau certifications
Work EnvironmentTech companies, startups, R&D teamsBusiness departments, marketing, finance
Job FocusDeveloping algorithms, predictive modelsInterpreting data, generating reports

While both roles analyze data, Data Science Developers focus on building models and algorithms to solve complex problems, often requiring programming and machine learning skills. Data Analysts primarily interpret existing data sets to generate insights and reports for business decisions. The roles overlap in data handling but differ in technical depth and objectives.

Which is better, DS or CS?

For a Data Science Developer, both Data Science (DS) and Computer Science (CS) skills are valuable; DS focuses on data analysis, modeling, and machine learning, while CS emphasizes algorithms, programming, and system design. The choice depends on the specific role requirements and career goals, but a strong foundation in programming languages like Python or R and understanding of data management are essential in both fields.
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Data Science Developer jobs near you
Infographic showing various Data Science Developer job openings in the United States as of June 2026, with employment types broken down into 23% Full Time, 72% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Data Science Developer

Data Science Developer

Next Step Systems

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Posted 8 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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