MissionWired
Posted 6 days agoVerified live 2d ago
Resume Pool: Product and Engineering
Brief overview
Remote
UndergradOr in progress
1+ yrsMinimum
PythonPandasPySparkSQLRAWSMLflowAmazon SageMakerGoogle Cloud AIStatistical MethodologyData AnalyticsMachine Learning Product Development
About the company
MissionWiredmissionwired.com
MissionWired is a provider of digital strategies, lead generation, and fundraising services for non-profits and government organizations.
Job description
Summary
MissionWired helps nonprofit and progressive political partners develop fundraising strategies that advance social change. The Product and Engineering resume pool seeks candidates for engineering, data science, analysis, product management, project management, and full-stack web development roles involving data, machine learning, product development, and cross-functional collaboration.
Responsibilities
- 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
Skills
- 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
- 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
Qualifications
Must Haves
- 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 Haves
- 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
Benefits
- 100% employer-paid premiums for platinum-level medical plan on a national health care network
- 100% employer-paid life insurance and short term disability
- 50% employer-paid vision and dental insurance
- 401(k) with 3% employer contribution
- 20 vacation days in addition to 12 paid holidays, sick days, bereavement leave, and a volunteer day off.
- Paid parental leave at 100% of your salary
- Financial support for reproductive and transgender care
- Flexible telecommute and remote work policies
- Company issued Mac products for home offices
- Cell phone service reimbursement, meal and ride-share reimbursement, and other perks available
