Senior Software Engineer - Palantir
Role details
Job location
Tech stack
Job description
Our company is growing rapidly and is hiring for a full-stack Software Developer to support our AI/data solutions team. This individual will be part of a team that is using cutting edge technology to build solutions that works with large volumes of data across multiple platforms. They will partner with our team of data scientists, data gurus, and product owners to deliver products that will help drive decision making. Ultimately, this role will be responsible for translating business requirements and building machine learning models through all phases of development., * Developing front end of data application for Palantir Foundry
- Participation in user interviews to understand technical and customer needs.
- Creating and managing data modeling objects
- Analyzing data using tools like Code Workbook, Contour and Quiver
- Establishing data connections, building data health monitors, and analyzing data lineage
- Managing request for customer facing applications built within machine learning technologies.
- Being a visionary who can translate business needs, challenges and requirements into solutions that deliver value to the organization.
Requirements
- Bachelor's or master's degree in computer science, Information Technology, or other related field or equivalent work experience.
- 2-5 years of software development experience
- 1-2 years experience working with applications that have predictive and prescriptive modeling.
- 2-5 years experience in programming for large scale data analysis and data modernization
- Experienced in Code Repositories / branching strategies.
SKILLS, KNOWLEDGE AND ABILITIES
- Hands-on experience with data science tools
- Ability to write scripts for data manipulation, transformation, and analysis.
- Proficiency in languages such as Python, Typescript
- Problem Solving Aptitude
- Continuously researches and evaluates emerging technologies.
- Excellent Communication skills
Preferred: Strong background in the following areas:
- Experience in software engineering
- Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Certificates, Licenses, Registrations or Professional Designations