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Senior Data Analyst Machine Learning Jobs in Killona, LA

Ochsner Health

Senior Data Engineer

New Orleans, LA · On-site

$101K - $138K/yr

The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing ... analytics, reporting, AI, machine learning, and operational applications. This position will be ...

RNGD

Data Analyst

Metairie, LA · On-site

About the Role We are seeking a Data Analyst that will transform data into actionable insights and ... machine learning, automating processes using Microsoft Power Platform, and writing SQL queries to ...

New

RNGD

Data Analyst

Metairie, LA · On-site

About the Role We are seeking a Data Analyst that will transform data into actionable insights and ... machine learning, automating processes using Microsoft Power Platform, and writing SQL queries to ...

New

Varsity Tutors

Machine Learning Tutor

New Orleans, LA · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

WINtrio

Data Analyst, New Orleans LA

New Orleans, LA · On-site

Data Analyst, New Orleans LA Location: New Orleans, LA (On-Site) Client: Federal / Public Sector ... AI), Machine Learning (ML), software modernization, data modernization, program management, and ...

Johnstone Supply LLC

Data Analyst

New Orleans, LA · On-site

Responsibilities Data Analyst Duties * Identify relevant data required to effectively analyze and ... Create reports in Excel that are easily understandable by the senior management team, and provide ...

Johnstone Supply LLC

Data Analyst

New Orleans, LA · On-site

$19 - $22/hr

Responsibilities Data Analyst Duties * Identify relevant data required to effectively analyze and ... Create reports in Excel that are easily understandable by the senior management team, and provide ...

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All JobsData Analyst Machine Learning JobsSenior Data Analyst Machine Learning JobsSenior Data Analyst Machine Learning Jobs in Killona, LA

Senior Data Analyst Machine Learning information

See Killona, LA salary details

$53.3K

$96.2K

$131.4K

How much do senior data analyst machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior data analyst machine learning in Killona, LA is $96,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $105,200.00 per year, depending on experience, location, and employer.

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

Senior Data Analyst Machine Learning jobs near you

Senior Machine Learning Engineer

Raceland, LA • On-site

Bollinger Shipyards
Ship and Boat Building • 1 - 5K employees
Learn more about Bollinger Shipyardsexternal

$99K - $136K/yr

Full-time

Re-posted 26 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 Machine Learning Engineer

Location:Mulitple Locations

Position Overview:

The Senior ML Engineer is responsible for operationalizing machine learning and AI solutions into scalable, reliable, and production-ready enterprise systems. This role bridges data science, software engineering, and infrastructure disciplines to deploy, monitor, optimize, and support AI solutions that drive operational and business outcomes.

Key Responsibilities: 

•             Deploy, integrate, and maintain machine learning and AI solutions within enterprise workflows and operational systems

•             Design and develop scalable ML pipelines, feature stores, APIs, and model-serving infrastructure

•             Collaborate with Data Scientists to productionize models and improve deployment readiness

•             Monitor model performance, drift, availability, and reliability across production environments

•             Implement processes for model retraining, versioning, governance, and lifecycle management

•             Partner with Data Engineering teams to support feature engineering and data pipeline integration

•             Ensure ML solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards

•             Support AI applications across forecasting, operational optimization, bidding, scheduling, maintenance, and automation use cases

•             Troubleshoot and resolve issues related to model deployment and operational performance

•             Contribute to ML engineering standards, best practices, and platform improvements

•             Document architecture, deployment processes, and operational support procedures

Qualifications: 

·       Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field

·       6–10 years in ML or software engineering

·       Strong Python and ML deployment experience

·       Experience with cloud ML systems

Skills: 

•             Experience with Azure ML, Databricks, ML Ops, or similar cloud AI platforms

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

•             Familiarity with large language models, Generative AI, and intelligent automation

•             Experience supporting enterprise AI applications integrated with ERP or operational systems

•             Knowledge of monitoring, observability, and model governance practices

•             Experience with Docker, Kubernetes, and infrastructure-as-code 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

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