Strong Analytics is hiring a
Software Engineer

Summary

Strong Analytics is hiring Software and Data Engineers to design and develop machine-learning applications for various industries. The role involves building and managing application pipelines, embedding statistical algorithms in cloud-based applications, and collaborating remotely with other engineers. Applicants must have advanced Python and SQL skills, experience with distributed data processing, and proficiency in the specified technologies.

Requirements

• Advanced Python and SQL skills
• Experience with distributed data processing
• Deployed models in batch, streaming, and real-time API contexts
• Proficiency in the following areas: Python, SQL, Relational databases (e.g., Postgres, MySQL), Distributed computation (e.g., Spark, Hive, Athena), Deploying deep learning-based models (e.g., PyTorch/Tensorflow), Cloud infrastructures (we use AWS), General application (e.g., web API) development, Git collaboration

Responsibilities

• Work with machine learning scientists and other engineers to develop custom ML solutions for a variety of industries and use cases
• Build machine learning pipelines from ideation up through prototyping, development, and deployment
• Build data pipelines which can ingest, transform, and export data
• Embed statistical algorithms and machine learning models in cloud-based applications
• Help identify areas of opportunity and improvement within projects
• Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)

Preferred Qualifications

Ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits

Benefits

• Competitive salary
• 100%-covered Health insurance for employees, 75%-covered dependents
• Four weeks PTO
• 401(k) with employer contribution matching
• Personalized monthly perks with matched charitable donations
• A 100% remote work environment with highly protected work/life balance