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Remote Amazon Data Science Jobs in Louisiana (NOW HIRING)

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

New

The Mutual Group

Associate Data Engineer

Iowa, LA · On-site +1

$65K - $95K/yr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

New

Cloudera

Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists ... Employee Resource Groups EEO/VEVRAA #LI-SZ1 #LI-REMOTE

Workiva

$40/hr

A solid foundation in computer science, with competencies in data structures, algorithms, and ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Remote Amazon Data Science information

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

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

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Remote Amazon Data Science jobs near you

Senior Manager Data Science & AI

Bollinger Shipyards

Raceland, LA • Remote

Full-time

Posted 21 days ago

Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Job Title: Senior Manager Data Science & AI

Location: Remote USA

Position Overview: The Senior Manager, Data Science & AI is responsible for establishing and scaling enterprise artificial intelligence, machine learning, and advanced analytics capabilities across Bollinger Shipyards. This role leads the identification, prioritization, development, and operationalization of AI solutions that improve forecasting, bidding, operational efficiency, planning, and decision-making.

The role partners closely with business leaders, Data Engineering, Analytics, and Enterprise Architecture to ensure AI initiatives are aligned to strategic priorities and successfully integrated into enterprise operations.

Key Responsibilities:

  • ·         Define and execute the enterprise roadmap for AI, machine learning, and advanced analytics initiatives
  • ·         Identify and prioritize high-value AI and predictive analytics use cases aligned to operational and strategic objectives
  • ·         Lead development of models supporting forecasting, cost estimation, scheduling, bidding optimization, operational efficiency, and intelligent automation
  • ·         Establish standards and governance for model development, validation, deployment, monitoring, and lifecycle management
  • ·         Ensure AI and ML solutions are integrated into enterprise workflows and production systems
  • ·         Partner with Data Engineering teams to ensure availability of scalable, high-quality datasets for model development
  • ·         Collaborate with business leaders to drive adoption and measurable business value from AI capabilities
  • ·         Evaluate emerging AI technologies, platforms, and opportunities relevant to Bollinger’s operational environment
  • ·         Lead and develop data science and ML engineering resources
  • ·         Ensure responsible, secure, and compliant use of AI technologies and enterprise data
  • ·         Establish KPIs and performance measures for AI initiatives and operational impact

Qualifications:

•           Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field

•           8+ years of experience in data science, AI, machine learning, or advanced analytics roles

•           3+ years of leadership experience

•           Proven experience leading enterprise AI and ML initiatives from concept through operational deployment

•           Strong background in statistical modeling, machine learning, predictive analytics, and optimization techniques

•           Experience working with large and complex enterprise datasets

•           Experience leading technical teams and enterprise-scale initiatives

Skills and Abilities:

•           Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments

•           Experience with Azure AI, ML Ops, cloud AI platforms, and modern AI frameworks

•           Familiarity with Generative AI, intelligent automation, and agent-based AI applications

•           Experience operationalizing AI solutions within ERP or operational systems

•           Knowledge of AI governance, model risk management, and responsible AI practices

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

Employment Type: FULL_TIME

What Bollinger Shipyards employees say

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Hours and flexibility

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