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Assistant Data Science Trading Jobs (NOW HIRING)

Cmu

Assistant Data Scientist

Pittsburgh, PA

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

Cmu

Assistant Data Scientist

Arlington, VA

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

AllSTEM Connections

Data Scientist I (Assistant)

Rahway, NJ · On-site

$104K - $114.40K/yr

Job Title: Assistant Data Scientist - Computational Drug Discovery & Molecular Modeling Role ... In this early-career role, you will sit at the vital interface of advanced computer science and ...

New

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 ...

Integral Ad Science

Staff Data Scientist

New York, NY · On-site

$135.10K - $231.60K/yr

As a Staff Data Scientist , Fraud Detection, at IAS, you will be part of a team that is at the ... of science, the scientific method, and faith in your fellow practitioners in the scientific trade ...

Integral Ad Science

Staff Data Scientist

New York, NY · On-site

$135.10K - $231.60K/yr

As a Staff Data Scientist , Fraud Detection, at IAS, you will be part of a team that is at the ... of science, the scientific method, and faith in your fellow practitioners in the scientific trade ...

Quanta Search

Delta One Quant Researcher

Manhattan, NY · On-site

Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science. Responsibilities Responsibilities for this role include developing the group ...

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 ...

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 ...

Blend360

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. * Collaborate with stakeholders to align on methodology ...

Blend360

Data Science Manager

Columbia, MD

Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs. * Collaborate with stakeholders to align on methodology ...

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How much do assistant data science trading jobs pay per hour?

As of May 29, 2026, the average hourly pay for assistant data science trading in the United States is $20.75, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $27.64 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant Data Science Trading professional, and why are they important?

To thrive as an Assistant Data Science Trading professional, you need a strong background in statistics, mathematics, and programming (typically with a degree in a quantitative field). Familiarity with tools such as Python, R, SQL, and data visualization platforms, as well as experience with trading systems or financial modeling, are highly valued. Strong analytical thinking, attention to detail, and effective communication help distinguish top candidates in this role. These skills ensure accurate data-driven insights, effective collaboration, and the ability to contribute meaningfully to trading strategies in fast-paced financial environments.

What are some common challenges faced by Assistant Data Science Trading professionals, and how can they be overcome?

Assistant Data Science Trading professionals often encounter challenges such as quickly adapting to rapidly changing market data and integrating complex datasets from multiple sources. They may also face pressure to deliver accurate, timely insights to support trading decisions. Overcoming these challenges requires strong collaboration with senior data scientists and traders, as well as continual learning of new analytical tools and financial concepts. Building robust data validation processes and maintaining clear communication within the team can also help ensure reliability and efficiency in their daily work.

What is an Assistant Data Science Trading role?

An Assistant Data Science Trading role involves supporting the development and implementation of data-driven trading strategies in financial markets. Professionals in this position typically assist senior data scientists and traders by analyzing large datasets, building predictive models, and automating trading processes. They also help in interpreting data patterns, preparing reports, and maintaining trading algorithms to optimize performance. This role requires strong analytical skills, proficiency in programming languages such as Python or R, and a solid understanding of financial markets and statistics.

What is the difference between Assistant Data Science Trading vs Data Analyst?

AspectAssistant Data Science TradingData Analyst
Required CredentialsBachelor's in Data Science, Finance, or related fields; some certificationsBachelor's or higher in Data Analysis, Statistics, or related fields
Work EnvironmentFinancial firms, trading desks, data-driven trading teamsCorporate, finance, marketing, or consulting firms
Employer & Industry UsageFinance, trading, hedge funds, investment banksVarious industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding entry-level roles in trading-focused data scienceAnalyzing data to inform business decisions

Assistant Data Science Trading roles focus on supporting trading strategies using data science techniques within financial firms, often requiring knowledge of finance and trading environments. Data Analysts have broader roles across industries, analyzing data to help businesses make informed decisions. While both roles involve data skills, Assistant Data Science Trading positions are more specialized towards finance and trading activities.

What cities are hiring for Assistant Data Science Trading jobs? Cities with the most Assistant 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 Assistant Data Science Trading jobs? States with the most job openings for Assistant Data Science Trading jobs include:
Assistant Data Science Trading jobs near you
Infographic showing various Assistant Data Science Trading job openings in the United States as of May 2026, with employment types broken down into 17% As Needed, 17% Full Time, and 66% Contract. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $43,170 per year, or $20.8 per hour.

Assistant Data Scientist

Carnegie Mellon University

Pittsburgh, PA

Other

Posted 18 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

49th of 529 rated colleges and universities

Job description

What We Do:
Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
Requirements:
  • BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
  • Willingness to complete modest travel to various locations to support the SEI's overall mission.
  • You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.

Knowledge, Skills and Abilities:
  • Experience in predictive modeling, data science, and/or AI & machine learning
  • Deep understanding of statistical modeling techniques and advanced data analytics
  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
  • Strong communication skills
  • Expertise in one or more of the following:
  • Recommendation systems
  • Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)
  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
  • Causal inference / uplift modeling / synthetic controls
  • Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)
  • LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)
  • Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)
  • Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Desired Experience:
  • Experience in cybersecurity and privacy is a plus is a plus
  • Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
  • Demonstrated ability to learn new concepts and grow into new areas of work

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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