Palantir Use Case Developer

at  Owens Minor Medical Inc

At Owens & Minor, we are a critical part of the healthcare process. As a Fortune 500 company with 50+ facilities across the US and 18,000 teammates in over 90 countries, we provide integrated technologies, products and services across the full continuum of care. Customers—and their patients—are at the heart of what we do.
Our mission is to empower our customers to advance healthcare, and our success starts with our teammates.

Owens & Minor teammate benefits include:

• Medical, dental, and vision insurance, available on first working day
• 401(k), eligibility after 30 days of employment
• Employee stock purchase plan
• Tuition reimbursement
• Development opportunities to grow your career with a global company

POSITION SUMMARY

Our company is growing rapidly and is hiring an entry-level Use Case developer to support our Palantir 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.

MINIMUM REQUIRED QUALIFICATIONS

• Bachelor’s or master’s degree in computer science, Information Technology, or other related field or equivalent work experience.
• Familiarity with Palantir Foundry for data integration and analytics.
• Understanding of data warehousing concepts, preferably with experience in Snowflake
• Knowledge of AI and machine learning concepts
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills

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, SQL, or R.
• Problem Solving Aptitude
• Continuously researches and evaluates emerging technologies.

Preferred: Strong background in the following areas:

• Experience in data engineering/ETL ecosystems with Palantir Foundry, Cognizant, Python, PySpark and Java
• Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).

Please refer the Job description for details