Senior Data Scientist

About this role

Job Title: Senior Data Scientist

Location:
United States (Can be based anywhere)

Travel:
As needed

About the Role

We are looking for a Senior Data Scientist to join a high-performing analytics team working on complex, real-world problems across multiple industries. In this role, you will collaborate with cross-functional teams to design, build, and deploy advanced analytics and AI solutions that drive meaningful business impact.

You’ll work on a variety of projects, ranging from optimizing operations to building machine learning and AI-driven applications, while continuing to grow your technical and problem-solving skills.

Key Responsibilities

• Translate business problems into data-driven solutions
• Perform exploratory data analysis and identify key insights
• Build, test, and deploy machine learning and AI models
• Develop and evaluate models using statistical techniques and experimentation (including A/B testing)
• Work with modern AI approaches such as large language models (LLMs) and retrieval-augmented generation (RAG) when applicable
• Deploy solutions via APIs or data pipelines and monitor performance over time
• Collaborate with engineers and product teams to integrate solutions into applications
• Ensure models are accurate, explainable, and scalable
• Optimize performance, cost, and efficiency of models and pipelines

What You’ll Work With

• Python and SQL for data science and analytics
• Distributed computing tools like Spark/PySpark
• Cloud platforms such as AWS, Azure, or GCP
• Tools like Airflow, Databricks, Docker, and Kubernetes
• Modern AI/ML techniques including deep learning and GenAI (nice to have)

Qualifications

- Bachelor’s degree with 8+ years of experience, or Master’s/PhD in Computer Science, Statistics, Mathematics, or a related field
- Experience applying machine learning to real-world datasets
- Strong programming skills in Python and SQL
- Experience with large-scale data processing (e.g., Spark)
-...