IBM · 2 weeks ago
Associate Data Scientist - Entry Level (Baton Rouge, LA)
Baton Rouge, LA
Full-time
Onsite
New Grad, Entry LevelIBM is a leading technology company that provides innovative solutions across various industries. As an Associate Data Scientist, you will work on solving business problems using machine learning frameworks and tools, preparing and analyzing data to deliver insights and recommendations to stakeholders.
Business DevelopmentBusiness Information SystemsCRMData ManagementFoundational AISoftware
Responsibilities
Developing, implementing, and validating machine learning models including supervised and unsupervised learning algorithms, deep learning architectures, and ensemble methods with a focus on scalable solutions for big data
Building end-to-end data processing pipelines using tools such as Apache Spark, Pandas, and NumPy to cleanse, transform, and integrate data from multiple sources in an efficient and reusable manner
Working in an Agile, collaborative environment, partnering with other data scientists, machine learning engineers, consultants and data engineers of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
Leveraging data processing and workflow orchestration tools such as Apache Airflow, Databricks, or similar platforms to automate model training and deployment workflows
Communicating with internal and external clients to understand and define business needs and appropriate machine learning techniques to provide analytical solutions
Evaluating model performance using industry-standard metrics, conducting A/B testing, and communicating the results to technical and non-technical audiences
Utilizing version control (Git) and MLOps best practices to ensure reproducibility and collaboration
Qualification
Required
Strong fundamentals in Mathematics, Statistics, and Computer Science (algorithms, data structures)
Proficiency in Python (preferred) or another mathematical/statistical programming language (MATLAB, R) for data science and machine learning, including experience with data/ml libraries such as scikit-learn, Pandas, NumPy, and Matplotlib/Seaborn
Hands-on experience with at least one deep learning framework (TensorFlow, PyTorch, or Keras)
Practical understanding of machine learning algorithms including regression, classification, clustering, and dimensionality reduction techniques
Experience with data processing and manipulation of large datasets using SQL and Python-based tools
You're great at solving problems by looking at things differently, debugging, troubleshooting, and designing & implementing solutions to complex technical issues
Preferred
Experience with distributed computing frameworks such as Apache Spark for large-scale data processing, and experience constructing usable datasets from multiple structured and unstructured data sources using ETL/ELT processes
Familiarity with MLOps tools and practices including model versioning, experiment tracking (MLflow, Weights & Biases), and deployment pipelines
Understanding of cloud-based machine learning platforms (AWS SageMaker, Azure Machine Learning, Google Vertex AI)
Company
IBM
IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services.
Founded in 1911
10001+ employees
H1B Sponsorship
IBM has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3032)
2024 (3301)
2023 (2160)
2022 (1809)
2021 (1157)
2020 (2669)
Funding
Current Stage
Public CompanyTotal Funding
unknown2011-01-14IPO
Leadership Team
Alain Bénichou
Chief Executive Officer, IBM Greater China Group
Alex Yang
CTO and Chief Architect
Recent News
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2026-01-09
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