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Scientist Python Jobs in Louisiana (NOW HIRING)

Audubon Companies

Automation Specialist

Metairie, LA · On-site

NodeJS, Python, AngularJS, .NET framework is a plus. * Bachelor's in Computer Science or related field is required. * Experience with database schema design, ingesting data and database access layers.

Audubon Companies

Automation Specialist

Metairie, LA · On-site

NodeJS, Python, AngularJS, .NET framework is a plus. * Bachelor's in Computer Science or related field is required. * Experience with database schema design, ingesting data and database access layers.

Danaher

Software Engineer Internships

Kenner, LA

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ... Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software ...

Access Sciences

Jr .NET WEB DEVELOPER

Baton Rouge, LA · On-site

At Access Sciences, we are committed to delivering quality and exceptional service. The diverse nature of our engagements creates challenging and rewarding opportunities for growth! Position Overview ...

Frontier Technology Inc.

AI/ML Engineer

Baton Rouge, LA · Remote

$140K - $220K/yr

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related ...

Frontier Technology Inc.

AI/ML Engineer

Baton Rouge, LA · Remote

$140K - $220K/yr

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related ...

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Scientist Python information

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

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

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Louisiana? For Scientist Python jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Louisiana look for? The top searched job categories for Scientist Python jobs in Louisiana are:
What cities in Louisiana are hiring for Scientist Python jobs? Cities in Louisiana with the most Scientist Python job openings:
Scientist Python jobs near you
Data Scientist -Project Delivery Senior Analyst - AI & Engineering

Data Scientist -Project Delivery Senior Analyst - AI & Engineering

Deloitte

New Orleans, LA • On-site

Other

Posted 17 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Data Scientist -Project Delivery Senior Analyst - AI & Engineering  

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client's need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Recruiting for this role ends on June 22nd 2026


Work you'll do/Responsibilities  

 The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends.

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

 Required

  • 4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
  • 4+ years of experience with feature engineering, model development, validation, and deployment.
  • 4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes.
  • 4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes.
  • 4+ years of experience Strong knowledge of data wrangling, exploratory analysis, and visualization.
  • 4+ years of experience Familiarity with cloud ML services (e.g. SageMaker, Azure ML, Fabric ML).
  • 4+ years of experience communicating and explaining insights and model behavior to non-technical stakeholders
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900-$134,000



Qualifications:

Data Scientist -Project Delivery Senior Analyst - AI & Engineering  

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client's need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Recruiting for this role ends on June 22nd 2026


Work you'll do/Responsibilities  

 The Data Scientist will analyze, cleanse, and model complex data to help organizations make better decisions and predict future trends.

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

 Required

  • 4+ years of experience Proficiency with Python, statistical modeling, and machine learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow).
  • 4+ years of experience with feature engineering, model development, validation, and deployment.
  • 4+ years of experience Understanding of MLOps pipelines, model versioning, monitoring, and retraining processes.
  • 4+ years of experience Ability to translate complex business problems into analytical solutions with measurable outcomes.
  • 4+ years of experience Strong knowledge of data wrangling, exploratory analysis, and visualization.
  • 4+ years of experience Familiarity with cloud ML services (e.g. SageMaker, Azure ML, Fabric ML).
  • 4+ years of experience communicating and explaining insights and model behavior to non-technical stakeholders
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $72,900-$134,000



Education:Bachelor's DegreeEmployment Type:

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