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Internship Behavioral Data Scientist Jobs in Oregon

Smarsh

Lead Data Scientist

OR · On-site +1

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... financial domain behavior -including insider trading, market manipulation, off-channel ...

Instacart

Senior Data Scientist

OR · On-site +1

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels ... Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision ...

BetterHelp

Data Scientist

OR · On-site +1

As a Data Scientist at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... user behavior (e.g. marketing, product, UI/UX) and large data sets * Expertise in statistics ...

Columbia

Principal Data Scientist

Portland, OR · On-site

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ... behavior to highlight opportunities through data to significantly improve business performance ...

CookUnity

Director, Data Science/ML

OR · On-site +1

Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimization Qualifications: * 10+ years of experience in data science , with at least 5 years in leadership ...

LP Careers Page

Lead Data Scientist, AdTech

OR · On-site +1

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Seeks feedback and turns it into visible behavior change * Curiosity paired with delivery ...

LP Careers Page

Staff Data Scientist, Marketing

OR · On-site +1

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Seeks feedback and turns it into visible behavior change * Curiosity paired with delivery ...

Nvidia

Senior Scientist, Synthetic Data Generation

OR · On-site +1

... Scientist to join our team and help advance our capabilities in synthetic data generation for ... Mentor interns and junior researchers to develop technical growth within the team. What we need to ...

New

Nvidia

Senior Applied Research Scientist, Data Curation

OR · On-site +1

... Scientists, Machine Learning and MLOps Engineers working on the next generation of data curation ... A history of mentoring junior engineers and interns is a plus. Location is flexible and the team is ...

New

CookUnity

Senior Data Scientist, Retention & Product

OR · On-site +1

The role: We're hiring an ML-focused Data Scientist to own retention and churn for CookUnity. In a ... CookUnity's Leadership Principles - The values and behaviors that guide how we operate, collaborate ...

Instacart

Staff User Researcher - Consumer

OR · On-site +1

Experience working with or alongside data science teams to triangulate behavioral patterns from usage data with qualitative findings * Track record of influencing product roadmaps, not just informing ...

Vantor

Applied AI Scientist

OR · On-site

$128K - $215K/yr

Build and operate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature ... behavior in real-world operational environments. * Work closely with domain experts, software ...

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Internship Behavioral Data Scientist information

What does an internship behavioral data scientist do?

An Internship Behavioral Data Scientist assists in analyzing and interpreting data related to human behaviors, often using statistical and machine learning techniques. They collaborate with senior data scientists and behavioral experts to collect, clean, and analyze large datasets, aiming to uncover patterns that can inform business or research decisions. Typical tasks include running experiments, developing predictive models, and presenting findings in clear, actionable reports. This internship provides hands-on experience in both behavioral science and data analytics, preparing interns for future roles in the field.

What are the key skills and qualifications needed to thrive as an internship behavioral data scientist, and why are they important?

To thrive as an Internship Behavioral Data Scientist, you need a solid background in statistics, data analysis, and behavioral science, often supported by coursework in psychology, data science, or related fields. Familiarity with technical tools such as Python or R, data visualization platforms like Tableau, and statistical software is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out in translating complex data into actionable insights. These skills and qualities are crucial for deriving meaningful patterns from behavioral data and supporting evidence-based decision-making.

What types of projects do internship behavioral data scientists typically work on, and how do these projects contribute to the organization's goals?

Internship Behavioral Data Scientists often work on projects involving the analysis of user behavior data, such as identifying patterns in customer interactions or improving product engagement strategies. These projects may include designing experiments, building predictive models, and collaborating with cross-functional teams like product managers, designers, and engineers. The insights generated help organizations make data-driven decisions to enhance user experience, optimize marketing efforts, or inform product development. Interns often gain exposure to real-world datasets and tools, providing valuable experience and contributing directly to organizational objectives.

How to get an internship as an internship behavioral data scientist?

To secure an internship as a behavioral data scientist, candidates should have a strong foundation in statistics, programming skills in languages like Python or R, and experience with data analysis and visualization tools. Building a portfolio of relevant projects, gaining familiarity with machine learning techniques, and applying through company career portals or internship programs increase chances of success.

What are the most commonly searched types of Behavioral Data Scientist jobs in Oregon?

The most popular types of Behavioral Data Scientist jobs in Oregon are:

What are popular job titles related to Internship Behavioral Data Scientist jobs in Oregon?

For Internship Behavioral Data Scientist jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Internship Behavioral Data Scientist jobs in Oregon look for?

The top searched job categories for Internship Behavioral Data Scientist jobs in Oregon are:

What cities in Oregon are hiring for Internship Behavioral Data Scientist jobs?

Cities in Oregon with the most Internship Behavioral Data Scientist job openings:

Internship Behavioral Data Scientist jobs near you

Lead Data Scientist

Smarsh

OR • On-site, Remote

Full-time

Re-posted 17 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
$180,000 - $200,000 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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