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Work From Home Data Scientist Machine Learning Jobs in Oregon

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

... from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and ... Collaborate closely with product managers, data scientists, and other engineers to deeply ...

... Scientists, Data Scientists, or Machine Learning Engineers). This role is designed for a builder ... in the weeds of work output from the team. * Excited and able to make direct technical ...

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

Your work will deliver scalable machine learning solutions to complex, real-world problems in ... Collaborate across teams of data scientists, product managers, designers, engineers, and domain ...

Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful ... You possess a strong foundation in traditional predictive machine learning (e.g., classification ...

From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure ... Rapid Growth : We compress years of learning into months * Merit Over Titles : Trust and ...

From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure ... Rapid Growth : We compress years of learning into months * Merit Over Titles : Trust and ...

Data Scientist

OR · On-site +1

$135K - $160K/yr

Work with Data Science and other cross functional teams to define requirements, optimize data ... Company-funded HSA * 401(k) with 4% match, vested 100% from day one * Employer-paid short and ...

... data science, AI, and machine learning to help sellers work smarter, close more deals, and scale ... from idea to measurable impact. Strong strategic acumen: the ability to understand business ...

Collaborate with other engineers, data scientists, and researchers to develop and implement ... Minimum of 2+ years of work experience in developing and deploying machine learning models in ...

New

... machine learning, analytics, data exploration, and optimization. Our work includes feature ... Cultivate strong partnerships with cross-functional stakeholders from product, engineering ...

Machine Learning Engineer, Autonomy

OR · On-site +1

$113K - $202K/yr

Experience in building and deploying full-stack ML pipelines, from data ingestion to model training ... While we have more work to do to advance diversity and inclusion, we're investing in our programs ...

Data Scientist

OR · On-site +1

Get insight from an enormous amount of data, and take a proactive role partnering with the ... We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work ...

You will work closely with Product, Data, Engineering, and business partners to identify high-value ... Deeply comfortable owning ranking, recommendation, and curation problems from framing through ...

Showing results 41-60

Work From Home Data Scientist Machine Learning information

What is a work from home data scientist machine learning?

A Work From Home Data Scientist specializing in Machine Learning is a professional who analyzes data and builds predictive models using machine learning techniques, while working remotely. Their responsibilities include collecting, cleaning, and interpreting large datasets, creating algorithms, and communicating findings to help organizations make data-driven decisions. They often use programming languages like Python or R, and collaborate with teams through digital tools. This role allows for flexibility in location and often requires strong self-motivation and communication skills.

What are the key skills and qualifications needed to thrive as a work from home data scientist machine learning?

To thrive as a Work From Home Data Scientist in Machine Learning, you need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like TensorFlow, scikit-learn, SQL, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving, self-motivation, and effective remote communication skills set outstanding professionals apart. These skills are crucial for designing robust models, collaborating across remote teams, and delivering actionable insights to drive business decisions.

How does working remotely as a data scientist specializing in machine learning affect team collaboration and project workflow?

As a remote Data Scientist focused on Machine Learning, collaboration is often facilitated through digital communication tools like Slack, Zoom, and version control platforms such as GitHub. Project workflows are typically structured using agile methodologies, with regular virtual stand-ups and sprint reviews to ensure alignment. While remote work offers flexibility, it also requires proactive communication to stay updated on evolving project goals and to coordinate effectively with data engineers, product managers, and other stakeholders. Building strong documentation habits and being responsive during core working hours can help overcome common challenges related to time zone differences or asynchronous work.

What is the difference between Work From Home Data Scientist Machine Learning vs Work From Home Data Analyst?

AspectWork From Home Data Scientist Machine LearningWork From Home Data Analyst
Required SkillsProgramming (Python, R), Machine Learning, Statistical AnalysisData Visualization, Basic Statistical Skills, Excel
CertificationsCertified Data Scientist, Machine Learning CertificationsNone typically required, but certifications like Microsoft Data Analyst are common
Work EnvironmentRemote, collaborative teams, research-focused
Industry UsageTech, Finance, Healthcare, E-commerce

Work From Home Data Scientist Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and machine learning expertise. In contrast, Work From Home Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are remote-friendly and industry-relevant, but differ in technical depth and scope.

What cities in Oregon are hiring for Work From Home Data Scientist Machine Learning jobs?

Cities in Oregon with the most Work From Home Data Scientist Machine Learning job openings:

Senior Machine Learning Engineer, Economist

Instacart

OR • On-site, Remote

$91K - $116K/yr

Full-time

Posted 5 days ago


Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

42nd of 64 rated delivery companies


Job description

Overview

As a machine learning engineer in the Economics team, you will build state-of-the-art systems that blend rigorous economic thought with sophisticated machine learning algorithms to tackle some of the company's most challenging problems. Working in a horizontal team, you will have the opportunity to collaborate closely with partners across multiple functions to operate on a highly diverse set of problems, contributing both economic and engineering expertise in a fast-paced environment filled with exciting opportunities for technically-minded economists.

The Economics team at Instacart works on a range of interesting and challenging problems across our platform, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include matching and logistics, online advertising, uplift and long-term value modeling, and general causal inference. Check out this blog post to learn more.

About the Job
  • Design, develop, and deploy machine learning solutions to tackle the many economic challenges in our complex marketplace.
  • Collaborate closely with product managers, data scientists, and other engineers to deeply understand business needs and create impactful solutions.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
  • Be an active member of the Economics team, sharing learnings, best practices, and research across domains while refining and advancing our algorithms.
About You

We are open to hiring either a Machine Learning Engineer II, Economist (fresh PhD graduate) or a Senior Machine Learning Engineer I, Economist (post-PhD industry experience).

Minimum Qualifications
  • Graduate Degree (Masters or PhD) in Economics or a closely related field
  • A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.
  • Experience applying causal inference methodologies to both observational and experimental datasets.
  • An understanding of machine learning algorithms and techniques.
  • Strong programming skills (Python) and fluency in data manipulation (SQL, Pandas) and machine learning tools (e.g., scikit-learn, XGBoost).
  • Excellent communication skills (both verbal and written).
  • Self-motivation and a strong sense of ownership.

For Senior Machine Learning Engineer I, Economist hires, we also expect:

  • 1-3 years of industry experience in a similar position.
  • Experience putting machine learning models into production environments.
  • Experience with cloud computing and related ML infrastructure.
Preferred Qualifications
  • A PhD in Economics or a closely related field with a focus on data-intense problems.
  • Intern experience in related roles.
  • Experience with large language models and generative AI, both on the algorithm side as well as a day-to-day tool.
  • Experience with uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation.
 

#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012