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From Home Data Science Jobs in Oregon (NOW HIRING)

Smarsh

Lead Data Scientist

OR · On-site +1

Relentless innovation has fueled our journey to consistent leadership recognition from analysts ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Netflix

Data Scientist 4- Messaging Data Science & Engineering

OR · On-site +1

$280K - $421K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Messaging DSE As part of the Messaging Data Science & Engineering team, you will build the data, analytics, and experimentation systems behind who gets which message, when, through which channel, and ...

Netflix

Sr. Data Science Manager, Content Distribution

OR · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

... from messy data and ambiguous problems to clear insights, recommendations, and decisions ... with deep expertise in applied data science and experimentation within consumer-facing ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling. * Cross-Functional ...

Louisiana State University

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Home page. Job Posting Title:Assistant/Associate Professor (Computational Biology/Data Science ... Obtaining extramural funding from federal and state agencies, commodity (state and national ...

Louisiana Workforce Commission

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Home page. Job Posting Title:Assistant/Associate Professor (Computational Biology/Data Science ... Obtaining extramural funding from federal and state agencies, commodity (state and national ...

LSU AgCenter

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Home page. Job Posting Title:Assistant/Associate Professor (Computational Biology/Data Science ... Obtaining extramural funding from federal and state agencies, commodity (state and national ...

Sonatype

Data Scientist

OR · On-site +1

... Data Science team. You'll operate as an internal AI consultant and technical lead, helping multiple teams across Sonatype apply machine learning and generative AI to real-world problems - from ...

Deloitte

Lead AI and Data Science Engineer II

Portland, OR · On-site

$108K - $143K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings. * Provide structure and oversight for ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

SOSi

Data Scientist with Security Clearance

Astoria, OR · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and ...

Instacart

Senior Data Scientist (I & II)

OR · On-site +1

Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ...

Columbia Sportswear

Principal Data Scientist

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Drive best practices in applying and deploying Data Science at scale YOU ARE * Aptitude to synthesize and create a cohesive picture from a wide variety of information sources * Solid time-management ...

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All JobsData Science JobsFrom Home Data Science JobsFrom Home Data Science Jobs in Oregon

From Home Data Science information

Can data science be done remotely?

Data science is a field that can often be performed remotely, especially for roles involving analysis, programming, and model development using tools like Python, R, and cloud platforms. Many companies offer remote data science positions, requiring strong communication skills and proficiency with collaboration tools. However, some roles may require on-site presence for meetings or data collection.

Is it possible to work from home as a data scientist?

Yes, data scientists can often work from home, especially with the increasing use of remote collaboration tools, cloud computing, and data analysis software. Many companies offer remote or hybrid positions that require strong skills in programming, statistics, and data visualization. However, some roles may require on-site presence for team collaboration or access to specific hardware.

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

The most popular types of Data Science jobs in Oregon are:

From Home Data Science jobs near you

Lead Data Scientist

Smarsh

OR • On-site, Remote

Full-time

Re-posted 2 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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