Analytics Engineer

Analytics Engineer

Job description

Join our team of leading data engineers, machine learning researchers, and data scientists who are building the next generation of AI Customer Assisted Analytics technology. Syntasa leverages proven streaming, machine learning, visualization, and big data technologies to process billions of records in real-time, resulting in actionable intelligence that improves acquisition, conversion, and retention. This provides a unique opportunity to be a part of a growing team in a fast-paced and evolving environment that delivers business impacts from data-driven recommendations.

As a Analytics Engineer, the candidate is responsible for the following:

Develop prototypes for data intake, planning and analytics to accelerate and automate data engineering, preparation, and analysis.

Utilize statistical models with data science methodologies including ETL, data mining, and machine learning to develop analytic solutions.

Build flexible, reusable tools, dashboards, and reports to improve decision making.

Maintain a codebase to accelerate prototyping across the analytics team.

Develop appropriate visualizations and present Analytics solutions and results.

Guide and work with the Engineering team to implement final analytic solutions into the product.

Must possess experience in Python/Scala, SQL experience; Machine learning software including Pandas/Scikit, R, Spark MLlib; BI tools including Tableau/Qlik; advanced visualization tools including D3, Matplotlib, ggplot; and RESTful Services and micro services..

Candidates must have a Master’s degree in Computer Science, Statistics, Business Analytics or related quantitative field.