Data Scientist - Data Quality & Methods

We’re reinventing the market research industry. Let’s reinvent it together.

At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Our regional Worldpanel division operates continuous consumer panels that collect detailed product purchasing and usage information in GB and Ireland. Panel members report their behaviour across a wide range of markets, including grocery, personal care, snacking, drinking habits, fashion and entertainment. Since 2017, using our Shoppix app (https://shoppixapp.com/) (which allows users to snap images of their receipts across all purchases), we have considerably extended the breadth of our offer through our service ‘Worldpanel Plus’ to also include shopper data covering new vertical markets such as Household, DIY and Leisure.

Our business is largely concerned with the analysis of consumer behaviour. Our client base is large and varied and includes brand manufacturers, retailers, media companies, city institutions and more recently, as we leverage Shoppix data, extends to, for example, DIY and paint manufacturers.

Data Methods

The Data Methods team are responsible for understanding, optimising and innovating the processes used for collecting, processing and reporting our panel data.

Role Purpose

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

• 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
• Escalating any risks to deadlines and capacity challenges

What You'll Bring to Numerator

Skills/Experience/Behaviours

Education & Experience

• Bachelors, Masters, Doctorate Degree
• 3+ years experience

Knowledge

Domain experience in at least 3-5 of:

• Data collection methods
• Fraud detection methods
• Data cleaning methods
• Demographics methods
• Sampling methods
• Bias methods
• Eligibility methods
• Weighting methods
• Data aggregation methods
• Outlier methods
• Statistical modelling
• Metrics / KPI methods

Tools

• Python (intermediate-basic: ability to read and understand existing code and identify issues)
• SQL (basic - intermediate)
• Excel (intermediate)
• Power BI (basic)

Passion and Drive

• Passionate about data quality, integrity and best practices
• Passionate about delivering high quality data to clients on schedule

Communication

• Ability to communicate complex technical concepts to stakeholders in simple language
• Good English communication, presentation, interpersonal and writing skills
• Good listening skills
• Good online, virtual, and in-person collaboration skills
• Comfortable presenting panel and data methods to external audiences (internal)