Top Data Science Jobs in Atlanta, GA
Seeking a Senior Scientist with experience in semiconductor device physics, modeling, fabrication, and material studies. Responsibilities include supporting the development of advanced semiconductor devices, leading project sub-tasks, contributing to research proposals, and effective communication with teams and leadership. This role requires a Bachelor's degree in physics, engineering, or similar field, 3-5 years of work experience in materials sciences, and the ability to obtain and maintain DoD Secret Clearance.
Seeking a Senior Scientist with experience in semiconductor device physics, materials modeling, and microfabrication process. Responsibilities include supporting the development of advanced semiconductor devices, leading project sub-tasks, and contributing to research proposals and publications. Requires a Bachelor's degree in physics, engineering, or similar field, 3-5 years of work experience in material sciences, familiarity with microfabrication process and multi-physics modeling, and the ability to obtain and maintain DoD Secret Clearance.
Collaborate with cross-functional partners, apply quantitative analysis, develop strategies, test opportunities, inform strategy decisions, measure product success, shape product development, and communicate insights.
The Principal Data Scientist will be the primary analytics partner to the Community & Learning team at Atlassian. They will influence strategy and important decisions, build measurement frameworks, lead high-impact projects, promote a measurement culture, and foster a world-class Data Science culture.
The Senior Data Scientist NLP and GenAI role involves designing and implementing NLP algorithms, language models, and collaborating with cross-functional teams to address business challenges. Responsibilities include leading analytics projects, optimizing business processes, and ensuring the ethical use of NLP technologies.
Featured Jobs
Join Iodine as a Revenue Operations Analyst to support sales and marketing teams in selling better and more efficiently. Responsibilities include refining lead qualification processes, analyzing campaign performance, and maintaining sales data in CRM tools. Preferred qualifications include experience in SaaS businesses and proficiency in data analysis and spreadsheet skills.
Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.
Senior Specialist, Data Science role at a global healthcare company involving designing and creating machine learning models, retraining systems, model governance, and performance evaluation. Requires 2+ years of data science/engineering experience with skills in Python, R, NLP, and computer vision.
A Senior Data Scientist role at PwC focusing on using technology to collect data, develop models, and provide predictions to stakeholders. Responsibilities include defining tasks, experimenting with algorithms, validating models, automating training, and communicating insights to stakeholders.
Responsible for extracting, managing, and analyzing data within Discover. Conduct research on business data, communicate findings to stakeholders, and set up efficient processes and systems for working with data. Manage and escalate risk and customer-impacting issues. Gather, structure, and analyze data from multiple sources, provide recommendations to management, and develop standard data analyses, reports, and dashboards. Coach and guide less experienced analytical professionals. Demonstrate technical knowledge in analytical tools.
Design, develop, and program methods, processes, and systems to analyze big data sources and generate actionable insights. Collaborate with product and service teams to identify questions and issues for data analysis and experiments. Develop software programs, algorithms, and automated processes to cleanse and evaluate large datasets. Communicate insights and findings to stakeholders.
Deepgram is seeking an experienced Research Scientist to work on building models in the voice AI domain. The role involves developing accurate and performant voice AI models using deep learning techniques. The candidate should have experience in areas such as automatic speech recognition, text-to-speech, diarization and speaker identification, language detection, and code switching. They should also have expertise in speech data curation, neural network architectures for speech, distributed training, and model optimization.
Top Companies in Atlanta, GA Hiring Data + Analytics Roles
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