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New Grad Machine Learning Jobs in Marrero, LA (NOW HIRING)

Varsity Tutors

Data Science Tutor

New Orleans, LA ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Pwc

AI Solutions Engineering Delivery Lead

New Orleans, LA ยท On-site

$98K - $129K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Develop new ideas, solutions, and structures; drive thought leadership. Solve problems by exploring ...

AEG

Basketball Analyst

Metairie, LA ยท On-site

New Orleans, Louisiana Our Mission and Your Impact The New Orleans Saints and Pelicans proudly ... Minimum of 2 years of experience applying statistical modeling and machine learning to large ...

Benson Enterprises

Basketball Analyst

Metairie, LA ยท On-site

New Orleans, Louisiana Our Mission and Your Impact The New Orleans Saints and Pelicans proudly ... Minimum of 2 years of experience applying statistical modeling and machine learning to large ...

Ochsner Health

Radiation Therapist

New Orleans, LA ยท On-site

New Grad's welcome! We've made a lot of progress since opening the doors in 1942, but one thing has ... Performs daily treatment machine quality assurance. * Documents and submits all billing on patients ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Marrero, LA

New Grad Machine Learning information

See Marrero, LA salary details

$23.3K

$38.9K

$80.4K

How much do new grad machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for new grad machine learning in Marrero, LA is $38,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,000.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Marrero, LA?

For New Grad Machine Learning jobs in Marrero, LA, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Marrero, LA look for?

The top searched job categories for New Grad Machine Learning jobs in Marrero, LA are:

New Grad Machine Learning jobs near you

Basketball Analyst

New-Orleans-Saints-and-Pelicans

Metairie, LA โ€ข On-site

$90 - $130/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Ochsner Sports Performance Center, 5800 Airline Drive, Metairie, Louisiana, United States of America

Job Description

Posted Monday, August 24, 2026 at 6:00 AM

I f you are interested in sports jobs with the New Orleans Pelicans, youโ€™re in the right place! Reports To: Director, Basketball Analytics Direct Reports: None FLSA Status: Full-time salaried, Exempt Work Location: New Orleans, Louisiana Our Mission and Your Impact

The New Orleans Saints and Pelicans proudly represent both the NFL and NBA, using our platform to uplift the Gulf Coast and create lasting community impact. Rooted in the vibrant spirit of New Orleans, we celebrate diversity, embrace culture, and unite people through the power of sports. Guided by our core valuesโ€”community, teamwork, celebrating individuality, people ๏ฌrst, integrity, and excellence, we foster an inclusive culture and seek people who share these values to help strengthen the bond between our teams and the city we call home.

Position Summary:

The Basketball Analyst will work within the Pelicans Basketball Operations department, reporting to the Director, Basketball Analytics, and is responsible for research, model development, and analytical support for Coaching, Player Personnel / Scouting, Player Development, Health & Performance and Salary Cap Management.

What Youโ€™ll Be Doing:
  • Own basketball research initiatives end to end, translating ambiguous questions from basketball staff into defined research designs, models, and clear recommendations.
  • Build, validate, deploy, and monitor models that evaluate players, teams, lineups, tactics, and roster and strategy decisions, including feature development and ongoing performance review.
  • Work across large and complex basketball datasets โ€” optical tracking and spatiotemporal data, playโ€‘byโ€‘play and event data, lineup and personnel data, and scouting inputs โ€” using statistical modeling, machine learning, and exploratory analysis.
  • Support the Director, Basketball Analytics on projects spanning onโ€‘court strategy, player acquisition, injury monitoring, and player development.
  • Deliver recurring inโ€‘season reporting for coaching and front office use.
  • Work alongside front office, strategy, coaching, scouting, player development, G League, and health & performance staff to keep analysis connected to live basketball decisions.
  • Communicate findings through clear written reports, visualizations, and presentations, applying basketball judgment to state limitations and practical next steps alongside results.
  • Build internal tools, dashboards, and repeatable workflows that put analysis directly in the hands of basketball staff.
  • Leverage proprietary data and internal context to produce insights that cannot be replicated externally, and evaluate new methods and data sources worth bringing inโ€‘house.
  • Other duties as assigned.
What Youโ€™ll Bring:

Minimum:

  • Bachelorโ€™s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or equivalent field, or equivalent work experience.
  • Minimum of 2 years of experience applying statistical modeling and machine learning to large, complex datasets. Experience gained through coursework or personal projects qualify.
  • Proficiency in R or Python.
  • Proficiency in SQL, including writing and optimizing queries against large relational databases.
  • Demonstrated ability to build, validate, and maintain predictive models.
  • Demonstrated ability to communicate technical results to nonโ€‘technical audiences through writing, visualization, and presentation.
  • Experience with Git or similar version control software.
  • Strong knowledge of NBA rules, regulations, and standards.
  • Willing and able to provide afterโ€‘hours and weekend support.
  • Ability to problem solve and learn new technologies quickly.
  • Ability to work independently or collaboratively with a small team.
  • Ability to multiโ€‘task efficiently to meet aggressive deadlines.
Preferred:
  • Experience working with optical tracking or other spatiotemporal data.
  • Experience working with playโ€‘byโ€‘play and eventโ€‘level sports data.
  • Experience deploying and monitoring models in a production environment.
  • Experience building dashboards or internal tools that put analysis in front of nonโ€‘technical users.
  • Strong communication skills, both written and verbal.
  • Prior experience in professional or collegiate basketball.
All Candidates Should Have:
  • Commitment to community and a people-first mindset
  • Strong teamwork and collaboration skills
  • Ability to celebrate individuality and value diverse perspectives
  • High integrity and a proactive, solutions-oriented โ€œwinningโ€ mindset
What We Offer:
  • Medical, Dental and Vision Insurance options
  • 401K with employer contributions
  • Paid parental leave
  • PTO and paid holidays
  • Wellness Program

The New Orleans Pelicans are committed to providing equal employment opportunities for candidates and employees regardless of their membership in any protected classifications. The Pelicans will not discriminate in violation of the law on the basis of race, color, age, national origin, sex (including sexual orientation, gender identity, transgender status, and pregnancy), religion, physical or mental disability, genetic information, marital status, veteran status, familial status, status as a victim of domestic violence, and/or any other legally protected class under applicable federal, state, or local laws. This anti-discrimination policy applies with respect to all employment decisions, including but not limited to hiring, promotion, discipline, and discharge. The Pelicans are committed to equal opportunity for persons with disabilities in compliance with the Americans Disabilities Act and state law. If you feel you need an accommodation for a disability, please inform us. Requests for accommodation will be evaluated on a caseโ€‘based basis. If you request an accommodation, it is essential that you participate fully in the interactive process.

Ochsner Sports Performance Center, 5800 Airline Drive, Metairie, Louisiana, United States of America

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