Resume Pool: Product and Engineering

Overview: MissionWired is always seeking great people to join our teams. In our Resume Pools, you can submit your resume and we'll reach out as soon as we have an opening in your specialized field! Please note: we may not be actively hiring for this team, however, when we are, you may be the first to hear from us!

Does the idea for transforming millions of data points into unparalleled opportunities - supporting everything from electing Democrats to combating climate change throughout the world, sound exciting to you? Then you're in the right place! On our data and product teams, you'll be driving positive change alongside a team of data scientists and engineers developing first-of-their-kind machine-learning products. With us, you’ll put your skills to use for disruptive innovation that powers social good.

You’ll join a product team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.

Data-Driven: We are committed to using the power of data to support important causes.

Philanthropy: We empower diverse groups of individuals to participate in giving.

We want your ideas and your leadership. Join us. Let’s go!

Teams available for this resume pool:

• Engineering (Data, Software, ML)
• Data Science
• Data Analysis
• Product Management
• Project Management
• Full-Stack Web Development
• This may not be a holistic list and is subject to change as new positions are added to the data and product teams.

Successful candidates will be responsible for (varying levels of responsibility depending on your experience):

• Joining each and every one of your colleagues in creating an inclusive workspace;
• Using an array of technological languages, models, and tools;
• Working toward constantly improving data reliability and quality;
• Collaborating with cross-functional teams to support their data related needs.

Must-have qualifications:

• Attention to detail;
• Intellectual curiosity to innovate on ways to solve data management issues;
• Passion, energy, and excitement for progressive and philanthropic causes and all things digital.

Nice-to-have qualifications (depending on the role):

• Python, Pandas, PySpark, SQL, R;
• Familiarity with big data tools using AWS or other cloud services;
• A passion for statistical methodology;
• Experience with MLOps platforms like MLFlow, Sagemaker, and/or Google Cloud AI;
• Experience in coding and/or analytics;
• Experience in building data- and/or machine learning-based products;
• A background in related industry sectors.