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Telecommute Marine Data Science Jobs (NOW HIRING)

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote) Contract Type: Contract to Hire Project Overview: The Sr. Data Scientist will join the ...

HazeGrayCyber

Senior Data Scientist

Washington, DC · On-site

Travel will be required to conduct on-site IA tasks at Marine Corps Regions/Installations ... IBM Data Science Professional Certificate * Or other comparable certification programs through ...

VideoAmp Careers Website

Senior Data Scientist

New York, NY · On-site +1

$169.54K - $208K/yr

... Computer Science, Data Science, or related field (or its equivalent) plus 5 years of experience ... Telecommuting permitted. 40 hours/week, $169,541 - $208,000 per year. Must also have authority to ...

Citigroup Inc

Data Science Lead Analyst

Schaumburg, IL · On-site +1

$163.30K/yr

Citibank, N.A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location. Duties ... A telecommuting/hybrid work schedule may be permitted within a commutable distance from the ...

Citigroup, Inc.

Data Science Lead Analyst

Schaumburg, IL · On-site

$163.30K/yr

Citibank, N.A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location. Duties ... A telecommuting/hybrid work schedule may be permitted within a commutable distance from the ...

Apex Informatics

AI Data Scientist

AI Data Scientist Duration : 9 months Telecommute : yes Travel : no Primary Responsibilities: • Able to write a concept paper can take it from idea to implementation • Partner with Engineering ...

Apex Informatics

AI Data Scientist Duration : 9 months Telecommute : yes Travel : no Primary Responsibilities: • Able to write a concept paper can take it from idea to implementation • Partner with Engineering ...

APTIM

Sr. Marine Geoscientist Project Manager

Tampa, FL · On-site

APTIM geoscientists specialize in offshore geophysical/geotechnical data collection, processing ... Bachelor of Science degree (or higher) in geology, geophysics, geological oceanography, or related ...

SOSi

Data Scientist

Redstone Arsenal, AL · Hybrid

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Occasional remote work or telecommuting opportunities. * Potential travel for conferences, training ...

SOSi

Data Scientist

Huntsville, AL · On-site

Develop and deploy data science solutions leveraging Python or similar languages. * Utilize Linux ... Occasional remote work or telecommuting opportunities. * Potential travel for conferences, training ...

AIS Inc

Data Scientist

Miami, FL · Remote

Masters degree in data science, computer science, marine biology, or related field, OR Bachelors degree with 1+ year of relevant research experience * Experience applying machine learning ...

AIS, LLC

Data Scientist

Miami, FL · On-site +1

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience * Experience applying machine learning ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience * Experience applying machine learning ...

A.I.S., Inc.

Data Scientist

Dartmouth, MA · On-site +1

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor's degree with 1+ year of relevant research experience * Experience applying machine learning ...

Pinterest Job Advertisements

Data Scientist II

New York, NY · On-site

$203K - $235.32K/yr

Full-time telecommuting is an option. Minimum Requirements: Master's degree (or its foreign degree equivalent) in Data Science, Analytics, or closely related quantitative discipline and two (2) years ...

Stagecoach East

Sr. Data Scientist

Washington, DC · On-site

$170.87K - $232.70K/yr

Position reports to the employer's Washington, DC office and may allow for partial telecommuting. Qualifications Basic Qualifications: * Bachelor's degree in Computer Science, Data Analytics ...

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All JobsTelecommute Marine Data Science Jobs

Telecommute Marine Data Science information

What are the key skills and qualifications needed to thrive as a Telecommute Marine Data Scientist, and why are they important?

To excel as a Telecommute Marine Data Scientist, you need a strong background in marine science, statistical analysis, and programming—often supported by a relevant degree such as oceanography, marine biology, or data science. Familiarity with tools like Python, R, GIS software, and remote sensing platforms, as well as experience with big data processing and cloud computing, is highly valued. Exceptional problem-solving, self-motivation, and communication skills help you effectively collaborate remotely and present complex findings to diverse stakeholders. These competencies are crucial for independently conducting robust analyses and delivering actionable insights to inform marine research and policy.

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

Telecommute marine data scientists often face challenges such as accessing large datasets remotely, ensuring effective collaboration with field teams, and managing time zone differences with global colleagues. To address these, it's important to have reliable internet connectivity, make use of cloud-based data storage and analysis platforms, and schedule regular virtual meetings for team alignment. Proactive communication and clear documentation can also help maintain project momentum and data quality when working remotely.

What is a Telecommute Marine Data Scientist?

A Telecommute Marine Data Scientist is a professional who analyzes and interprets data related to marine environments, such as oceanography, marine biology, or fisheries, while working remotely from any location. They use statistical models, programming, and data visualization tools to understand patterns in marine data and support research or policy decisions. Telecommuting allows these scientists to collaborate with teams and access global datasets without needing to be physically present at research facilities or in the field.

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

AspectTelecommute Marine Data ScienceTelecommute Marine Data Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; knowledge of programming languages like Python or RUsually requires a degree in data analysis, statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentRemote, often collaborating with marine scientists and engineersRemote, supporting marine research and operations teams with data insights
Employer & Industry UsageUsed by marine research institutions, environmental agencies, and maritime companiesUtilized by similar organizations for data reporting and analysis tasks

While both roles involve working with marine data remotely, Marine Data Scientists focus on developing models and advanced analytics, whereas Marine Data Analysts primarily interpret data and generate reports. Understanding these distinctions helps in choosing the right career path or job search focus.

What cities are hiring for Telecommute Marine Data Science jobs? Cities with the most Telecommute Marine Data Science job openings:
What are the most commonly searched types of Marine Data Science jobs? The most popular types of Marine Data Science jobs are:
What states have the most Telecommute Marine Data Science jobs? States with the most job openings for Telecommute Marine Data Science jobs include:
Telecommute Marine Data Science jobs near you

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Posted 4 days ago

Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).