Senior Data Scientist

<p>Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p> <p>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p> <p><strong>What will you be doing? </strong></p> <p><strong>Securing delivery on your projects</strong><strong>Communicating your work and achievements among the team</strong><strong>Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs</strong><strong>Ensuring that your solutions are bringing values to the client problematic</strong><strong>Being a good team player, knowing your role and responsibility in the global ambition</strong></p> <p><strong>Key Responsibilities:</strong></p> <ul> <li>Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.</li> <li>Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis</li> <li>Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.</li> <li>Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like <strong>Power BI</strong> to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.</li> <li>Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings