Data Scientist (вакансія неактивна)

We are looking for a Data Scientist in a startup in the area of performance measurement and motivation. The main purpose of this application is to help to conduct performance reviews of software engineering teams and individuals and help to motivate them to grow.

JOB SUMMARY

Your role will involve designing algorithms and ML models that will help to increase the quality of our product. You will contribute to developing ideas that guide product strategies and drive measurable business impact through the application of ML methods. Utilizing your strong communication skills, you will actively participate in strategic discussions and work cross-functionally to analyze consumer needs and make data-driven recommendations.

RESPONSIBILITIES

•Build ML models (predictive modeling, categorization).
•Investigate the historical data to find opportunities for ML model usage.
•Track business metrics to measure business impact.
•Evaluating the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy of the analysis.
•Work with cross-functional teams to drive change in product and cost roadmap through management and execution.
•Identify key drivers that influence product roadmap; prioritize and execute.
•Gather information from internal and external stakeholders to inform the definition of existing [and potentially future] product roadmap.
•Execute analyses at the interface of technical considerations & work with top management.

QUALIFICATIONS

•B.S. in Computer Science or Program Engineering.
•Tech skills: Javascript/Python/(other); SLQ/non-SQL databases strong experience.
•Experience with AWS infrastructure services (especially Lambda & others), working with high-load systems and big data management.
•Experience and understanding of complex web applications/platforms (serverless, microservices).
•Excellent verbal and written communication skills across engineering, operations, and commercial disciplines (English level: Upper+ (Advanced desirable).
•Proven success in statistical analysis to identify process and product variations with complex and highly variable process parameters.