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Director Data Analyst Machine Learning Jobs in Columbia, SC

Pwc

CTIO AI Engineering Manager

Columbia, SC

$73K - $244K/yr

... data science and machine learning engineering at PwC will focus on leveraging advanced analytics ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Varsity Tutors

Data Analysis Tutor

Columbia, SC · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

AMC Health

Senior Software Engineer Applied AI

Columbia, SC · On-site

$113K - $149K/yr

... plus the machine learning and LLM pipelines around them. This is one seat that spans four ... analysis pipelines * Own traditional ML workflows from data to scheduled production inference

New

Varsity Tutors

Business Analytics Tutor

Columbia, SC · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Pwc

US Tech - AI Engineering Manager

Columbia, SC

$73K - $244K/yr

... data science and machine learning engineering at PwC will focus on leveraging advanced analytics ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

REsimplifi Inc.

Software Developer

Columbia, SC · On-site

... analysis of large-scale datasets. Integrate data enrichment processes and machine learning models into data processing workflows to improve data quality, accuracy, and automated classification.

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Columbia, SC

Director Data Analyst Machine Learning information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

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

As of Aug 19, 2026, the average yearly pay for director data analyst machine learning in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

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

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Columbia, SC?

For Director Data Analyst Machine Learning jobs in Columbia, SC, the most frequently searched job titles are:

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What cities near Columbia, SC are hiring for Director Data Analyst Machine Learning jobs?

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Director Data Analyst Machine Learning jobs near you

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC • On-site

Full-time

Re-posted 29 days ago

Job description

Senior Embedded Controls Engineer: C++/Linux and Machine Learning exp.
As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector. This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.
Your responsibilities
Design and develop real time AI ? Neural Network solutions for transportation industry maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Job Requirements
Minimum Security Clearance:
Bondable
Qualifications
Education
Master"s / Bachelor"s degree in Software Engineering or similar experience.
Experience
5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
5+ years of experience in Software development using C++ & Linux embedded.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Preferred Experience
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).

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