Software Engineer (all levels)

Management Science Associates, Inc.•Tarentum, PA

1d•Hybrid

About The Position

Management Science Associates, Inc. (MSA) is a diversified information management company that for over half a century has given market leaders a competitive edge in data management, analytics and technology. We are seeking a Software Engineer (all levels) with 3 or more years of experience to join the MSA Media Division. We are a mature business segment which offers leading edge analytics and optimization solutions to some of the best known and most popular brands in the media industry. In this role you will work with major cable television networks to build the tools that will shape the next generation of content distribution and advertising. The software engineer will work with an experienced team in a collaborative and flexible Agile environment. You will apply your craftsmanship and innovation to interesting problems that materially affect business outcomes. If you are ready to immerse yourself in an intellectual stimulating environment, solving some of the most exciting problems facing today’s rapidly evolving media industry, we would like to hear from you.

Requirements

Requires a four-year degree in Computer Science, Math, Physics, Statistics, Economics, Operations Research, or other related quantitative discipline. PhD or Masters preferred.
Minimum of 3 years practical experience writing computational or algorithmic software
Qualified candidates will have previous development experience with C/C++, C#, Java, or other Objected Oriented language
Familiarity with systems architecture and design patterns
Linux OS and shell scripting
Understanding of relational databases and SQL
Works Independently on all SDLC phases
Familiarity and experience with MSA's core competencies: Data Management, Information Technology and Analytics

Responsibilities

Apply a strong knowledge of data structures and algorithms to existing applications in C/C++ and/or .NET Framework
Use scientific programming methods to solve unique computational problems
Use a diverse mathematical toolkit to formulate and update analytical models
Conduct statistical analysis on large data sets
Work closely with Engineers, Business Analysis, Quality Assurance, and Product support
Communicate technical concepts to a non-technical audience
Able to perform under pressure in a rapidly-evolving industry
Ability to develop broad domain knowledge and technical depth