Senior Data Scientist: ML, AI Solutions & Leadership

Lendingtree; Charlotte (NC); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) matching

Time off (generous)

Wellness programs

Bonus eligibility

Job summary

LendingTree is seeking a Senior Data Scientist to lead complex analysis and model development. You will build predictive models, ML algorithms, and AI solutions to address key business challenges, partnering with engineering, product, and analytics teams.

You will mentor juniors and drive data science practices across the team. Required: 5+ years in data science, strong SQL/Python, and experience with ML frameworks and cloud deployment.

Qualifications

• Bachelor's or Master's in CS, DS, Statistics or related field.
• Minimum 5 years of data science experience with strong SQL and Python.
• Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Spark ML, Torch, Hugging Face, Keras, Caffe, CNTK.
• Experience deploying models in cloud environments AWS, Azure, or GCP.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Lead complex analysis and model development projects.
• Build predictive models, ML algorithms, and AI solutions addressing business challenges.
• Collaborate with cross-functional teams to translate requirements into analytical solutions.
• Ensure model validation, monitoring, and ongoing performance improvement.
• Mentor junior teammates and share knowledge to improve data science practices.

Skills

SQL

Python

Data science

Machine learning

Statistical analysis

Cloud computing

Model deployment

Communication

Education

Bachelor's or Master’s in CS/DS/Statistics

Tools

TensorFlow

PyTorch

scikit-learn

Spark ML

AWS/Azure/GCP

Job description

LendingTree is seeking a Senior Data Scientist to lead complex analysis and model development. You will build predictive models, ML algorithms, and AI solutions to address key business challenges, partnering with engineering, product, and analytics teams.

You will mentor juniors and drive data science practices across the team. Required: 5+ years in data science, strong SQL/Python, and experience with ML frameworks and cloud deployment.