Data Scientist

Must Haves:

Bachelor's or master's degree in computer science, Information Technology, or other related field or equivalent work experience.

2-5 years of data engineering experience

2-5 years experience in predictive and prescriptive modeling.

2-5 years experience in programming for large scale data analysis and data modernization

Experienced in Code Repositories / branching strategies.

Experience in data engineering/ETL ecosystems with Palantir Foundry, Cognizant, Alteryx

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 evaluate emerging technologies.

Plusses

Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).

Certificates, Licenses, Registrations or Professional Designations

Certifications such as Foundry Application Developer Foundry Data Analyst, Foundry Data Engineer a plus

Job Description

Insight Global is seeking a Senior Data Scientist to support a large Healthcare client. This candidate will support the clients Palantir development initiatives and 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 a 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.

Responsibilities:

Analyzing large amounts of information to find patterns and solutions.

Creating data pipelines using Pipeline Builder and Code Repositories

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

Responsible for building 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.

Full time