Data Science Intern

Key Skills

C++, Decision trees, GLM Regression, Gradient Boosting trees, Java Programming, JavaScript, Random forests, Statistical modeling

Job Description

Are you someone who is passionate, motivated, and driven to make a difference? If so, MSA Safety is the perfect fit for your career.

At MSA, SAFETY is who we are AND it is what we do. We are a purpose-driven company committed to deploying innovation and technology to deliver on our Mission to help protect people and assets all around the world. We continue to be relentless in our pursuit of solving our customers greatest problems so they can go home safe each and every day.

Are you in? Read on for more details about this particular role.

Responsibilities

Specific responsibilities include, but are not limited to, the following:

• Perform data analysis on large data sets to prepare and develop business decisions
• Provide insight into observed business outcomes through analytics
• Use math, statistics, and analytical techniques to develop predictive models
• Identify areas where advanced statistical techniques would be most useful

Qualifications

Special Skills, Knowledge, and Abilities Required:

• Strong critical thinking and problem-solving skills
• Strong interpersonal skills & desire to work in a team
• Good communication skills – ability to explain the “how” and “why” of what you’re doing to a variety of technical and non-technical audiences

Experience:

• We’re looking for someone pursuing a BS or MS degree in a quantitative field (e.g. statistics, computer science, data science, mathematics) with the following experience:

• Manipulating data sets and building statistical models
• Coding knowledge and experience with common programming languages (C++, Java, JavaScript, etc)
• Experience in statistical and data mining techniques (GLM/Regression, Random Forest, Boosting, Trees, etc)
• Experience querying datasets and using statistical computer languages (R, Python, SQL, etc.)
• Experience using web services (Redshift, S3, Glue, etc)
• Experience working with Data visualization tools (Power BI, QuickSight, etc.)