Remote Data Scientist (Contract) - ML, NLP & Gen AI

Mondo; Wilmington (DE); On-site; USD 89,544 - 103,320; Full time

Benefits offered by this job

Health

Dental

Vision

401K

Job summary

Mondo is seeking a remote Data Scientist to develop and deploy advanced analytics and machine learning solutions to support various business initiatives. Candidates should possess a PhD in Chemical Engineering or Chemistry, strong programming skills in Python or R, and a solid foundation in statistics. Key responsibilities include analyzing large datasets, building machine learning models, and collaborating with cross-functional teams. The position offers a compensation range of $65-75/hr and is eligible for Health, Dental, Vision, and 401K benefits.

Qualifications

• Experience with supervised learning techniques (e.g., random forest, XGBoost, Lasso).
• Knowledge of Generative AI (LLMs, RAG, agentic AI frameworks).
• Experience with NLP, knowledge graphs, or advanced retrieval techniques.

Responsibilities

• Clean, prepare, and analyze large datasets.
• Build and validate machine learning and statistical models.
• Develop predictive and optimization algorithms.
• Collaborate with cross-functional teams to deploy data solutions.
• Communicate insights and results to non-technical stakeholders.
• Work with data engineers to access and structure data.
• Create visualizations, reports, and dashboards.

Skills

Strong programming skills in Python or R

Solid foundation in statistics

Experience with machine learning

SQL proficiency

Strong communication and collaboration skills

Education

PhD in Chemical Engineering or Chemistry

Tools

Azure (Data Lake, Data Factory, Databricks)

Power BI

Job description

Mondo is seeking a remote Data Scientist to develop and deploy advanced analytics and machine learning solutions to support various business initiatives. Candidates should possess a PhD in Chemical Engineering or Chemistry, strong programming skills in Python or R, and a solid foundation in statistics. Key responsibilities include analyzing large datasets, building machine learning models, and collaborating with cross-functional teams. The position offers a compensation range of $65-75/hr and is eligible for Health, Dental, Vision, and 401K benefits.