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Remote Data Science Jobs in Louisiana (NOW HIRING)

Harris

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

Harris

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

CSAA

Conducts actuarially sound statistical analysis by selecting appropriate data sources and making ... BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor ...

CSAA

Supports the development of business-cases for new initiatives by synthesizing data, modeling ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

CSAA

Leads and provides direction to Application Integration, Data, and Platform architecture vision for ... Bachelor's degree in related area (Computer Science, Information Systems, or other related field ...

New

CSAA

Principal Enterprise Architect - Remote

Iowa, LA · Remote

Leads and provides direction to Application Integration, Data, and Platform architecture vision for ... Bachelor's degree in related area (Computer Science, Information Systems, or other related field ...

New

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Louisiana

Remote Data Science information

See Louisiana salary details

$18.3K

$81.3K

$155.2K

How much do remote data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data science in Louisiana is $81,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,007.00 and $112,797.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

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

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

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

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

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

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

What cities in Louisiana are hiring for Remote Data Science jobs?

Cities in Louisiana with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,323 per year, or $39.1 per hour.

Principal Data Engineer-Raceland, Louisiana

Bollinger Shipyards

Schriever, LA • Remote

Full-time

Posted 10 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: Principal Data Engineer
Location: Remote
POSITION OVERVIEW
We are seeking a dedicated Principal Data Engineer .The candidate will lead the design, development, and delivery of enterprise data pipelines and foundational data assets supporting analytics, reporting, forecasting, and AI initiatives. This role is responsible for establishing scalable and reliable data engineering practices while ensuring enterprise data is accurate, secure, accessible, and aligned to business priorities.
REQUIREMENTS
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or related field
  • Minimum of 8-12 years of experience in data engineering
  • Proven experience delivering enterprise-scale data pipelines
  • Strong SQL and data transformation expertise
  • Experience with cloud data platforms (Azure preferred)
  • Experience integrating ERP and operational systems
  • Experience leading technical teams or mentoring engineers; prior people management experience is desirable
SKILLS
  • Experience with Azure Synapse, Azure Data Factory, Databricks, Fabric, or similar cloud technologies
  • Experience in manufacturing, shipbuilding, industrial, or engineering-intensive environments
  • Familiarity with Power BI and downstream analytics enablement
  • Experience supporting AI/ML initiatives through engineered datasets and feature pipelines
  • Knowledge of data observability, master data management, and metadata management practices
  • Relevant cloud or data engineering certification
RESPONSIBILITIES
  • Lead the design, development, and support of enterprise data pipelines and integrations across Oracle ERP, Finesse, MES, PLM, Primavera, proposal systems, and other operational platforms
  • Establish and maintain scalable data engineering standards, frameworks, and development practices
  • Ensure consistent implementation of enterprise data architecture and medallion data design patterns (raw, curated, business-ready)
  • Oversee data ingestion, transformation, orchestration, reconciliation, and validation processes
  • Partner with Enterprise Architecture and Integration teams to align technical solutions with enterprise standards and future-state architecture
  • Support analytics, reporting, forecasting, and AI initiatives through delivery of trusted and performant datasets
  • Ensure data quality, lineage, observability, and reliability across enterprise data assets
  • Provide technical leadership, architectural guidance, and mentoring to data engineering team members
  • Collaborate with cybersecurity and infrastructure teams to ensure secure and compliant handling of enterprise data
  • Evaluate emerging technologies and recommend improvements to data engineering capabilities and platform performance
  • Mentor and develop technical talent while fostering strong engineering discipline and accountability

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.

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