Data Scientist - Data Quality & Methods

Numerator • United States, United States • 2d ago

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

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)

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