Data Scientist - Data Quality & Methods
- Numerator
- 0 - 2 years
- Remote
- 3 days ago
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Job Description
The Data Methods Data Science candidate will be expected to support the Data Methods manager in defining, analysing and developing Solutions to support key innovation initiatives and methodology development. The individual will gain an advanced understanding of our E2E processes, and be able to work on identifying areas for improvement, assessing what enhancements should be made and working with other teams to implement these changes. There will be a strong focus on using panel data across our services (ShopandScan, WP+ and merged data) working via our dedicated Data Processing Platform on Databricks.
Main Duties and Responsibilities
Data Methods / Data Science Primary Role:
- Able to contribute to key initiatives and projects related to Data Methods
- Project Plans: Outline project scope, objectives, timelines and milestones.
- Data Collection / Preparation: Management of data (e.g. cleaning, preprocessing).
- Exploratory Data Analysis: Conduct feasibility studies on potential solutions
- Models and Processes: Able to work with Tech and Product teams to investigate and improve existing models and processes and to support in requirements and validation of new functionality.
- Reporting and Documentation: Methods used, findings and recommendations.
- Training and Support: Training and providing deployment support.
- Project Review and Evaluation: Conducting reviews of project outcomes
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- Able to form views on how new processes ought to be constructed.
- Co-ordinate work with On-Shore Methods Manager / Leads
- Able to contribute both to BAU enhancements and to work under the umbrella of a project.
Understanding the wider business
- Develops a basic understanding of the Operations functions
- Develop an understanding of the Commercial usage of our data
- Develop a broader understanding of our direct competitors
Training & Development
- Take ownership for self-development and where available participate in structured training.
- Gains proficiency in all relevant databases, data interrogation and reporting tools (for example Databricks, SQL, Python, Excel, MyWorldpanel etc.)
Communication & Collaboration
- Ability to collaborate across peers in operations, technology and product teams
- Be able to communicate in an appropriate manner (e.g. verbally, presenting or creating a PowerPoint, Word document, email)
- Adhering to deadlines and escalating where there is a risk of delays
- Demonstrate and role model best practise and techniques including positive communication style.
- Displays a proactive attitude when working both within and outside of the team.
- Demonstrates clear, direct and to the point communication at Data Methods team meetings
Issue Management and Best Practice
- Proactive identification and root cause analysis of Data Methods issues and development of best practice solutions to improve the underlying methodology and processes.
- Support regular methodology review meetings with Manager and Leads to establish priorities and future requirements.
- Knowledge sharing through the team, in either team meeting or day-to-day with the wider Data Methods team
- Able to think through complex processes and to how to construct and improve them, considering in detail the positive and negative implications of different approaches and how best to test and assess them.
Resource Management
- Organising workload efficiently
- Adhering to schedules
- Esalating any risks to deadlines and capacity challenges
Job Classification
Industry: Analytics / KPO / ResearchFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: NumeratorLocation(s): Remote+ View Contact
Keyskills: Training Root cause analysis Data analysis data science Data collection Data processing Data quality Resource management Reporting tools SQL
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