з/п не указана
Москва
Более 6 лет
Responsibilities:
- Designing and using algorithms and building predictive & prescriptive models needed to automate execution and the generation of insights, to enable efficiencies that allow colleagues to focus on value added tasks.
- Collaborate with product manager, business stakeholders, BI and data engineers, IT to deliver sustainable results
- Developing our internal capability to derive insights from structured data, unstructured data through location intelligence, machine learning, collaborative filtering, etc. to unlock new sources of insight that can be used to drive competitive advantage.
- Helping to define the technology infrastructure to enhance our data science capabilities enabling advances in our insight capability.
- Develop our existing tools to build greater simulation and forecasting capability, giving our business confidence that we can improve returns of our business decisions, pricing initiatives and non-pricing tools.
- Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
- Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
Requirements:
- Higher education / degree (Computer Science, Statistics or related preferred)
- 3+ years of professional experience within data science field
- Python, PySpark and SQL
- Demonstrated experience in handling large data sets and relational databases
- Knowledge of engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, continuous integrations, testing, and operations
- Nice to have: DataBricks, Azure DataLake
- Ability to translate business and technical requirements into non-technical terms
- High-level written and verbal communication skills
- Excellent combination of strategic, communication and analytical skills
- Strong people and stakeholder management skills
- Fluent English
