Offer summary

Qualifications:

Degree in a quantitative field such as data science, statistics, or computer science., 1-3 years of relevant professional experience in data analysis or modeling., Proficiency in SQL and experience with data warehouses and databases., Strong analytical skills and ability to communicate findings to non-technical stakeholders..

Key responsabilities:

Develop statistical and machine-learning models based on business requirements.

Gather and standardize data from various sources for analysis.

Create visualizations to present findings to stakeholders.

Collaborate with IT to deploy AI/ML-focused products and provide ad-hoc support for analytics.

Job description

Data Scientist-Remote

The Data Scientist position at MedRisk is responsible for developing data-centric solutions to business problems by leveraging analytical and advanced modeling techniques applied to large, complex data sets. This role will work across business units to gather requirements, derive actionable insights from data, and build production-ready models in service of internal stakeholder and client needs. The responsibilities for this role include working with a variety of internal data systems within MedRisk, performing exploratory analysis, presenting findings to leadership and other business stakeholders, and collaborating with IT and infrastructure resources to deploy AI/ML-focused products. This position requires a candidate with an enthusiasm for discovering insights in data, a desire to maintain up-to-date knowledge of best practices in a rapidly evolving field, strong communication skills, and a passion for delivering business value through analytics.

Primary Duties & Responsibilities

Research, design, and develop statistical/machine-learning modeling solutions based on business requirements / problems
Support the integration of advanced statistical techniques with reporting tools
Gather, validate, and standardize structured and unstructured data from a variety of sources
Create data visualizations and analyses to communicate findings to team members and other stakeholders
Develop, maintain, and document high-quality code that follows industry best-practices
Provide ad-hoc support to internal clients for data mining and other analytics

Qualifications

Required

Degree in a quantitative field, such as data science, statistics, mathematics, computer science, finance, or economics
1-3 years of relevant professional and/or technical experience
Ability to clearly and concisely communicate analyses to non-technical business partners
Experience working with SQL, data warehouses, and transactional databases
Intermediate to advanced proficiency in one or more scripting languages such as Python or R
Experience developing statistical and machine learning models using modern tools and frameworks
Strong analytical, problem solving, and critical thinking skills
Passion for continued learning and development of new skills

Preferred

Advanced degree in a quantitative field, such as data science, statistics, mathematics, computer science, finance, or economics
3+ years of relevant professional and/or technical experience
Experience with insurance / claims / healthcare data a plus but not required

Required profile