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Remote Marine Data Science Jobs in Oregon (NOW HIRING)

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Bachelor's degree in Computer Science, Engineering, or a related field * 5+ years of experience in ...

YipitData

Senior Data Product Analyst

OR · On-site +1

Product New York, NY (Remote-Friendly) About the Role YipitData is making one of its most ambitious ... engineering, data science, market intelligence, alternative data, or a closely related field.

Five9

Data Center Engineer (in Atlanta, GA)

OR · On-site +1

Communicate and coordinate with remote hands in remote data centers, providing technical direction ... Bachelor of Science degree in Computer Science or equivalent experience

DLH

Research Analyst (Non-Data)

OR · On-site +1

$50K - $70K/yr

... through science research and development, systems engineering and integration, and digital ... This position is 100% remote. However, employees may be required to attend occasional in-person ...

New

Tempus

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

... Life Sciences or Healthcare industry * Strong command of SQL and other scripting languages (R or ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Care Access

Enterprise Performance Analytics Engineer

OR · On-site +1

$80K - $110K/yr

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Aflac, Incorporated

Data Analyst

$52K - $80K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Bachelor's Degree in Analytics, Computer Science or a related field. * 0 - 2+ years of job-related ...

Healthcare

CDI Outsourcing Manager - Remote (Solventum)

OR · On-site +1

... data science that change patients' lives for the better while enabling healthcare professionals to ... Remote Travel: May include up to 50% domestic Relocation Assistance: Not authorized Must be legally ...

Elite Technology

Group Product Manager, Financials

OR · On-site +1

As a key strategic partner to engineering, data science, UX design, sales, and marketing, you'll ... Remote This role requires the individual to be based in Flexible across U.S. time zones time zone.

LTS

Lead AI Architect/Strategist

OR · On-site +1

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Collaborate with software engineers, data scientists, product teams, and enterprise architects to ...

Upstart

Principal Product Manager, Pricing Platform

OR · On-site +1

Experience working in machine learning, data science, or analytics-driven environments * Experience ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

Climate First Bank

Data Engineer

OR · On-site +1

$114K - $137K/yr

Experience & Education * Bachelor's degree in Computer Science, Information Systems, Data ... Remote role within the United States; Eastern Standard Hours. * Occasional U.S. travel for company ...

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All JobsMarine Data Science JobsRemote Marine Data Science JobsRemote Marine Data Science Jobs in Oregon

Remote Marine Data Science information

What is a remote marine data scientist?

A Remote Marine Data Scientist is a professional who analyzes data related to the marine environment, such as oceanographic, biological, or ecological information, while working from a remote location rather than onsite. They use statistical methods, machine learning, and programming skills to interpret large datasets from sources like satellites, sensors, and research vessels. Their work helps inform marine conservation, policy, and scientific understanding of oceans and marine life. Remote positions allow these scientists to collaborate with global teams and access data from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote marine data scientist?

To excel as a Remote Marine Data Scientist, you need a strong background in marine science, statistics, and data analysis, typically supported by a relevant degree such as oceanography, marine biology, or data science. Familiarity with programming languages like Python or R, GIS software, and remote sensing tools is commonly required, along with experience using cloud-based collaboration platforms. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with interdisciplinary teams. These competencies ensure accurate analysis of marine environments, support informed decision-making, and enable efficient remote collaboration.

What are some common challenges faced by remote marine data scientists, and how can they be addressed?

Remote marine data scientists often encounter challenges such as limited access to real-time field data, large and complex datasets, and the need for effective collaboration with interdisciplinary teams. To overcome these, it's essential to leverage robust cloud computing tools for data storage and analysis, establish clear communication channels with field researchers, and stay updated with the latest marine data platforms and software. Building strong collaborative relationships and regularly participating in virtual team meetings can also help bridge the gap between remote and on-site team members.

What is the difference between Remote Marine Data Science vs Remote Marine Data Analyst?

AspectRemote Marine Data ScienceRemote Marine Data Analyst
Required CredentialsAdvanced degrees in data science, marine science, or related fields; programming skills in Python/R; statistical knowledgeBachelor's or master's in data analysis, marine science, or related fields; proficiency in Excel, SQL, and basic statistical tools
Work EnvironmentResearch teams, data modeling, algorithm development, often in collaborative or remote settingsData interpretation, reporting, visualization, often in remote or office environments
Employer & Industry UsageResearch institutions, environmental agencies, marine technology companiesMarine research firms, environmental consultancies, government agencies

Remote Marine Data Science involves developing models and algorithms to analyze complex marine data, requiring advanced technical skills. In contrast, Remote Marine Data Analysts focus on interpreting data, creating reports, and visualizations. Both roles are vital in marine industries but differ in technical depth and responsibilities.

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

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

What are popular job titles related to Remote Marine Data Science jobs in Oregon?

For Remote Marine Data Science jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Marine Data Science jobs in Oregon look for?

The top searched job categories for Remote Marine Data Science jobs in Oregon are:

What cities in Oregon are hiring for Remote Marine Data Science jobs?

Cities in Oregon with the most Remote Marine Data Science job openings:

Remote Marine Data Science jobs near you

Ads AI Analytics Lead II

Instacart

OR • On-site, Remote

Full-time

Re-posted 29 days ago

Instacart rating

6.9

Company rating: 6.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies

Job description

Overview

The Commercial Scaled Intelligence (CSI) team is an AI-first team dedicated to delivering actionable commercial insights and scalable automation to drive revenue growth and operational efficiency across the company. The team focuses on intelligence generation, predictive analytics, and workflow automation to enable data-driven decision-making and optimize commercial performance.

As an Ads AI Analytics Lead II, you will own the intelligence behind our Ads agents. You will design the Ads semantic/context layer and build vertical AI agents that analyze campaigns, diagnose performance, and recommend actions that improve ROAS, pacing, and partner outcomes. You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents with measurable lift.

About the Job

  • Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
  • Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
  • Ingest and enrich unstructured Ads content and publish retrievalready datasets using our managed search/vector services.
  • Design and evaluate retrieval workflows (RAG) with existing services for hybrid search and reranking; set quality/latency targets and iterate via experiments.
  • Design agent reasoning and policies on ads, including tool definitions and humanintheloop approvals.
  • Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.
  • Run A/B or uplift experiments to quantify impact and guide iteration.
  • Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and timetoinsight.

About You

Minimum Qualifications

  • 3-6 years in analytics engineering, data science, or applied AI with strong SQL and Python.
  • 2+ years of domain expertise in ads, retail, or e-commerce data.
  • Advanced Proficiency in Python and SQL, with experience using dbt and Snowflake or BigQuery, including skills in data modeling, testing, and managing data contracts.
  • Deep Expertise in orchestrating data pipelines using dbt and Airflow
  • Experience with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar)
  • Ability to design offline/online evaluations and run A/B or uplift tests
  • Fluency in Ads analytics concepts such as ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
  • Strong stakeholder communication with a track record of shipping production data or AI systems that drove business impact.
  • Understanding of ML models to drive recommendations on bid, keywords, and budgets
  • Experience with evaluation and guardrail frameworks and humanintheloop QA.

Preferred Qualifications

  • Strong understanding of AI and machine learning concepts, with experience creating AI-driven products.
  • Deep expertise in advertising products, including leading and driving automation projects.
  • Proven ability to improve operational efficiency through automation initiatives in fast-paced environments.
  • Applied experience in modeling techniques for Ads, including forecasting, anomaly detection, uplift modeling, and causal inference.
  • Hands-on experience with workflow automation and low-code development platforms (Zapier, n8n, Gumloop, Superblocks)
  • Familiarity with retail media or ad platforms, including Amazon, Google, Meta, Shopify, or DoorDash.

#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

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