Senior Data Scientist

EXPECTED WORK
This role will cover:
Development of local innovative solution for specific business need (80%).
The deployment of data science & analytic components within global product ensuring local relevance to models (20%).
The work is strongly technical, and the data scientist will be expected to participate in both very technical sessions (a lot of formula, equations) and business- oriented discussions.
MAIN ACCOUNTABILITIES
Leading data science activity for business function partnered with driving innovation, model deployment, testing, improving and BAU monitoring.
Deliver the data science road map for the function driving development with/without global or 3rd parties’ support.
Engagement in innovative project initiatives for the function, drive the conversation, solution design and development for MVPs.
Internal consultant/technical expert to support engagement with tech solution/service providers.
KEY REQUIREMENTS
Standards of Leadership
• Strong sense of accountability and ownership
• Business Acumen
• Passion for High Performance
• Agility
• Stakeholder management
Key Skills Required:
• Tech Skills- - Full Operational (tools/platform preferred in bracket)
Statistical modelling, machine learning
Research and optimization
Data processing and modelling (Python/PySpark/Scala)
A/B test set up and analytical skills
Data- Native platform for full ML cycle (Databricks)
• Tech Skills- - Working Knowledge/Preferred Skills
Cloud platforms, cloud services APIs
BI/visualization tool (PowerBI)
• General Skills
Problem solving
Strong communication skills, being able to communicate in a clear and concise manner and demonstrate vertical and lateral influence
Project Management
Stakeholder Management
• Relevant Experience (ranked in descending order by importance):
Research for new methodology (from application point of view), writing white papers, product evaluation
Experience with FMCG
Experience working with/managing 3rd parties
Substantial tech experience in all tech aspects of data science work, EDA, modelling, testing, BAU monitoring.
Experience with Supply chain
Working with partners from tech product/platform (MS Azure, GCP etc)
Involved in the full cycle of data science product development with strong presence in the project.

• Knowledge of API integrations & experience setting up future- proof data networks and data mapping in line with the business strategy.
• At least 5 years of experience in data engineering and working experience with managing data infrastructures.
• Ability to adapt and work in a VUCA environment.
• Highly skilled and experienced in Python and SQL.
• Experience with database querying tools (JIRA).
• Experience with implementing data governance and quality programs.
• Understanding of data warehouses and data lakes.
• Understanding of MS Azure data tooling (Databricks, Data Factory, Azure Storage Explorer)
• Fluent in English
• BSc or MSc in computer science or relevant field.
• Have a leadership attitude to help spread the data quality mindset.
• Experience with building ETL data pipelines.
• Experience with business intelligence platforms
• Experience developing data transfer in integration interfaces with other solutions as well as migration.
• Strong project and time management.
• Experience with using CI/CD pipelines and Continuous Testing.

Hybrid working model
Premium healthcare insurance for yourself and family
13th- month bonus

Cập nhật gần nhất lúc: 2024-04-03 11:31:48