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Internship Data Science Trading Jobs in Oregon (NOW HIRING)

Smarsh

OR

... and trade communications hold the keys to uncovering misconduct and risk. The role will involve ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Waymark

OR

Make architectural trade-offs, drive alignment across data science, engineering, product, and clinical stakeholders, and mentor junior data scientists to raise the technical bar of the team. Minimum ...

Instacart

OR

Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided ... Awareness of business trade-offs when working on a multi-sided marketplace. * Confidence in ...

Netflix

OR · On-site

$372K - $600K/yr

Data Science and Engineering (DSE) at Netflix is aimed at using data, analytics, causal inference ... Design experiments to understand the trade-offs between technical attributes and end-user ...

YipitData

Data Scientist, Corporate

OR · On-site +1

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... Explore and execute complex methodologies, evaluate methodological trade-offs, and implement ...

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... Explore and execute complex methodologies, evaluate methodological trade-offs, and implement ...

Netflix

OR · On-site

$128K - $166K/yr

Our Games Data Science & Engineering (DSE) teams build the measurement infrastructure ... Create visibility into program health, surfacing risks and trade-offs to engineering leads and ...

Striim, Inc.

OR

$120K - $130K/yr

Requirements * 1-3 years of professional experience or equivalent graduate research, internships, or project experience in data science, machine learning, data engineering, cloud engineering, or ...

New

Instacart

Staff Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

You'll collaborate closely with engineering leadership and stakeholders across Data Science, ML ... trade-offs to both technical and executive audiences to ensure cross-org alignment. About You ...

Netflix

OR · On-site

$466K - $750K/yr

The Ad Ranking team within the Ads Data Science and Engineering organization is the central ... Communicate technical decisions, trade-offs, and experiment results to both technical and non ...

Nike

Senior Product Manager

Beaverton, OR · On-site

$131K - $173K/yr

Deep fluency in modern ML and generative AI - enough to engage substantively with engineers and data scientists on models, evaluation, and data pipelines, and to make sound product trade-offs.

AcuityMD

Data Analyst, Software Engineering Track

OR · On-site +1

$80K - $100K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or ... Recent graduates and candidates with relevant internship experience are encouraged to apply.

Orbotech

Trade Compliance Engineer

Hillsboro, OR · On-site

$120K - $204K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

New

Kla

Trade Compliance Engineer

Hillsboro, OR

$120K - $204K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

KLA Corporation

Trade Compliance Engineer

Hillsboro, OR · On-site

$120K - $204K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Netflix

OR

Communicate technical decisions, trade-offs, and results clearly to both technical and non ... Advanced degree (PhD or Master's) in Statistics, Mathematics, Computer Science, or a related ...

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Showing results 1-20

All JobsData Science Trading JobsInternship Data Science Trading JobsInternship Data Science Trading Jobs in Oregon

Internship Data Science Trading information

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

AspectInternship Data Science TradingData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in data-related field, analytical skills, proficiency in data tools
Work EnvironmentFinancial firms, trading floors, collaborative teamsVarious industries, offices, cross-functional teams
Employer & Industry UsageFinance, trading firms, investment banksMultiple sectors including finance, marketing, healthcare

Internship Data Science Trading focuses on applying data science skills to trading strategies within financial firms, often involving real-time data analysis. Data Analysts work across industries analyzing data to inform business decisions. While both roles require analytical skills and familiarity with data tools, internships are more training-oriented, whereas Data Analysts are more experienced roles in data interpretation and reporting.

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Internship Data Science Trading jobs near you
Infographic showing various Internship Data Science Trading job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Lead Data Scientist

Lead Data Scientist

Smarsh

OR

Full-time

Posted 10 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior-including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team's tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc...)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • Familiarity with cloud computing platforms (AWS, GCS, Azure)
  • Experience with automated supervision/surveillance/compliance tools
$166,000 - $214,000 a year
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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