Data Scientist - Senior

4w1 month ago

Cummins

Columbus, US · Full-time · $115,419 – $158,400

About this role

This role focuses on researching, designing, and implementing complex algorithms to analyze diverse data sources, leveraging statistical and predictive modeling to achieve targeted outcomes. You will build analytical machine learning solutions that predict and influence customer operating experience, particularly within the automotive and commercial vehicle sectors.

Day-to-day work involves resolving complex analytical problems using quantitative approaches, identifying patterns in data through exploration and visualization techniques with tools like PowerBI, R Shiny, and SAS JMP. You will also develop applications for a Cloud-based environment and extract data from various sources using Big Data technologies including SQL, Java, Python, and C++.

You will partner with domain experts to verify model capabilities and collaborate with IT resources to enable appropriate data flow and rapid prototyping. The team environment emphasizes Agile software development methodologies to manage projects and deliver advanced analytics products that meet customer value.

This position offers the opportunity to synthesize business intelligence and trend data to support strategic recommendations, while processing and managing large data sets for vehicle and engine systems. Growth comes from tackling complex business problems and informing the design of analytical products that directly influence the industry.

Requirements

Statistical and predictive modeling concepts
Building analytical machine learning solutions
Data visualization techniques using tools such as PowerBI, R Shiny, and SAS JMP
Multivariate data mining and dimension reduction techniques
Developing applications for a Cloud-based environment
Big Data technologies including SQL query language, Java, Python, and C++
Analyzing complex business systems, industry requirements, and data regulations
Experience with Requirements Analysis and Agile software development methodologies

Responsibilities

Research, design, implement and validate complex algorithms to analyze diverse sources of data
Leverage advanced analytics and data science to solve complex business problems using quantitative approaches
Build analytical machine learning solutions that predict and influence customer operating experience
Identify relationships and patterns in data using data exploration and visualization techniques with tools such as PowerBI, R Shiny, and SAS JMP
Develop applications for a Cloud-based environment and data extraction tools using Big Data technologies including SQL, Java, Python, and C++
Analyze complex automotive and commercial vehicle business systems, industry requirements, and data regulations
Perform comprehensive Requirements Analysis to evaluate relationships and interdependencies between requirements
Utilize Agile software development methodologies to manage projects and deliver advanced analytics products

Benefits

Remote work flexibility
Annual salary range of $115,419 - $158,400
Opportunity to work with cutting-edge AI/ML and cloud technologies
Engagement with complex data challenges in the automotive and commercial vehicle industry