Data Scientist - PhD degree only- Remote role-W2 candidates only

Remote, USA • Full-time • Posted 2026-05-04

Data Scientist - PhD degree only

Location: 100% remote; reporting office is in Raleigh, NC must be near one of these cities: Dallas, TX; Tampa, FL; New York City; Philadelphia, PA; Raleigh, NC; Chicago, IL; Atlanta, GA

Duration: 6-12 months to start

Mode of Interview: Ropes AI Assessment + 2 rounds IV

Note: After offer there will be an in person ID check at office

Must Have Skills: PhD degree, 2-4+ years as a Data Scientist, LLM, NLP, AgenticAI is a big plus

Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
Leading the development of advanced AI and machine learning models to solve complex business problems
Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models over a very large corpus of data
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
Designing APIs for disseminating data science outputs to various business units.
Overseeing the scaling of production systems to meet growing demands.

Possess an advanced or Master s education in Computer Science, Mathematics, Statistics, or a related field.
Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
Have experience and knowledge of applying LLMs including models of GPT, Claude, Mistral, Phi family. Knowledge of advanced prompting techniques and agent-based solutions
Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.

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