Helping clients solve their toughest problems using data analytics, machine learning, and AI solutions at Resultant
Requirements
- 5+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus)
- 3+ years experience with Databricks and/or Apache Spark
- 3+ years experience with advanced analytics and modern machine learning techniques
- 3+ years experience with APIs, containerization (Docker), and orchestration (Airflow)
- 3+ experience with relational databases and SQL (Postgres, Redshift, SQL Server)
- 3+ experience with Cloud platforms (Azure, AWS, GCP) and services
- Proficient with version control
Responsibilities
- Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way
- Design, develop and deploy efficient data pipeline for both structured and unstructured data
- Productionize machine learning research in both on premises and cloud environments
- Rapid prototyping solutions and integrating of new data sources
- Drive optimization, testing and tooling to improve quality of solutions
- Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before
- Collaborate with data architects and software developers to plan and construct the architecture of model deployment
Other
- Bachelor’s degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required
- Experience working in a consulting or client-facing environment, collaborating directly with business stakeholders
- Strong ability to translate complex technical concepts for non-technical audiences
- Demonstrated experience contributing to business development efforts, including proposal writing, solutioning, and partnering with sales or account teams
- Unlimited vacation, significant 401k contributions, and several opportunities to develop yourself
