Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

JR United Kingdom; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading company in the consumer data space is seeking a Senior Data Scientist to enhance their analytical capabilities. The role involves data cleaning, statistical analysis, and machine learning techniques to drive insights. Candidates should have strong proficiency in Python, R, and SQL, along with excellent communication skills to convey complex concepts effectively.

Benefits

Stock options

Qualifications

• Proficiency in Python, R, SQL, data manipulation, statistical modeling, and visualization.
• Expertise in regression, generalized linear models, panel data, and time series forecasting.
• Understanding of media landscape, ad formats, audience measurement, and KPIs.

Responsibilities

• Collect, clean, and prepare large media datasets for analysis.
• Use econometric techniques to identify relationships between media spend and outcomes.
• Evaluate model accuracy and communicate findings to stakeholders.

Skills

Python

R

SQL

Statistical Modeling

Data Visualization

Communication Skills

Business Acumen

Job description

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

London office hybrid 3 days per week

Salary negotiable depending on experience up to £90,000 + stock options

Job Reference J12960

Please note this client is unable to offer sponsorship; ensure you have full UK working rights.

About Measure Protocol

Measure Protocol is seeking a smart, creative, and dynamic Senior Data Scientist to help shape their approach and products in building a best-in-class consumer data company.

They believe in building a team of true owners; hence, they offer stock options to all employees, sharing in the company's growth and success.

Company Mission

Measure is creating the world's first ethical and transparent human data marketplace, aiming to empower individuals with control over their data and enable fair monetization.

The Role

1. Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis.
2. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to identify relationships between media spend and outcomes.
3. Model Validation and Interpretation: Evaluate model accuracy, interpret results, and communicate findings clearly to stakeholders.
4. Advanced Analytics: Explore machine learning techniques to improve models and uncover deeper insights.

Experience and Skills

1. Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization.
2. Statistical Methods: Expertise in regression, generalized linear models, panel data, and time series forecasting.
3. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs.
4. Communication Skills: Ability to translate complex concepts to non-technical stakeholders.
5. Business Acumen: Ability to align data insights with business objectives.
6. Additional Skills: Build and maintain MMM models to assess media impact, considering seasonality and competition.

If this sounds like the right role for you, apply to our retained recruiters, Datatech Analytics.