Remote Data Scientist

Description:

• The role involves analysing large volumes of customer data from various sources, such as fuel purchases, convenience store transactions, car services, and EV charging, to uncover actionable business insights.
• The candidate will be responsible for cleaning, pre-processing, and transforming raw data into structured formats suitable for analysis using SQL and Python.
• The position requires the development, tuning, and validation of machine learning models to predict customer behaviour, with the goal of optimising marketing strategies and improving customer retention.
• The Data Scientist will design and create compelling data visualisations to effectively communicate findings to stakeholders.
• The role includes responding to and solving ad-hoc business questions by extracting and analysing relevant data, providing timely and accurate insights.
• The candidate will employ deterministic record linking techniques, such as blocking, fingerprinting, aggregation, normalisation, and similarity measures, to accurately match and merge customer records.
• The position involves working collaboratively with cross-functional teams, including technology (data engineers, analysts, and architecture) and business (marketing, operations) to implement data-driven insights into business processes.
• The Data Scientist will use AWS services like Redshift and Athena to manage and analyse large datasets efficiently in a cloud environment.
• The role requires developing and presenting data stories that translate complex analytical results into understandable and actionable insights for non-technical stakeholders.

Requirements:

• The candidate must have experience working with SQL, Python, Git, and AWS services, specifically Amazon Redshift and Athena.
• Proficiency in using Jupyter Notebook and Visual Studio Code, which is the client’s recommended IDE, is required.
• The applicant should have experience with deterministic record linking techniques and machine learning model development.
• Good coding best practices are essential for this position.
• It is considered a plus if the candidate has experience with Amazon SageMaker, PySpark, and MLOps, although these are not essential.

Benefits:

• The position offers the flexibility of remote work, allowing employees to work from anywhere.
• The role is a contract position, providing opportunities for project-based work with global clients and big-name brands.
• Working with a small, dynamic team that combines design thinking with data science to solve complex business problems.
• The opportunity to contribute to a growth journey within a professional services firm, enhancing skills and experience in data science and analytics.