About Solidify:
Solidify is a solution and service provider within Platform Engineering, Modern GRC (Governance, Risk Management, and Compliance), Cloud Adoption, and AI. Our mission is to empower large-scale organizations to become more efficient, secure, and compliant. Trusted by some of the world's leading companies, we accelerate and secure digital transformation through extensive technical know-how and GRC expertise, alongside robust partnerships with industry leaders like Microsoft and GitHub.
Our Culture:
Solidify promotes an enjoyable work environment where fun meets professionalism. We believe in enjoying our journey as we deliver top-notch services and products. If you resonate with our vision and understand the transformative challenges our clients face, we would love to get to know you better.
Responsibilities:
- Analyze raw data: assessing quality, cleansing, and structuring for downstream processing, utilizing Azure data services.
- Design accurate and scalable prediction algorithms, leveraging Azure machine learning capabilities.
- Collaborate with the engineering team to bring analytical prototypes to production, leveraging Azure cloud infrastructure.
- Generate actionable insights for business improvements using analytics tools and services.
Qualifications:
- Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.).
- At least 1 - 2 years experience in quantitative analytics or data modeling. Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms.
- Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau), and experience with Azure services is a plus.