Data Scientist

Role Overview

Data Scientist at Artefact, a global services company operating at the intersection of consulting, data science, AI technologies, and marketing.

Company Overview

Artefact is a global services company with 1700+ people that breaks Business and Tech silos and transforms organizations into consumer-centric leaders using digital, data and AI.

Role Purpose

To collect, prepare, analyze, and communicate data-driven insights using statistical techniques and visualization tools, working collaboratively with cross-functional teams to support evidence-based decision-making.

Key Responsibilities

Data Quality & Preparation

• Collect and extract data from various sources to prepare comprehensive datasets for analysis.
• Clean data by handling missing values, removing inconsistencies, and ensuring correct structure for further analysis.

Analysis & Insight Generation

• Analyze data using appropriate statistical techniques to uncover trends, patterns, and anomalies.
• Perform descriptive analysis and exploratory data analysis using SQL, Python, R, and statistical libraries.
• Validate and cross-check analysis results to ensure accuracy by verifying calculations and comparing findings against external or historical data.
• Investigate irregularities and catch data quality issues during analysis.

Reporting & Communication

• Create clear, concise reports and visualizations to communicate findings to internal stakeholders.
• Use Power BI and similar tools to illustrate key insights and present data in understandable formats.
• Write summaries that interpret results and highlight important conclusions.
• Explain data findings in layman's terms with excellent written and verbal communication.

Collaboration & Methodology

• Work closely with statisticians and other team members to interpret results and refine analysis approaches.
• Adjust methods based on feedback and contribute to discussions on data interpretation.
• Integrate findings into broader reports and organizational analyses.
• Partner with IT, field operations, and subject-matter experts to gather context and ensure analyses meet project needs.
• Proactively share insights and contribute to data-driven decisions.

Qualifications & Experience

• Bachelor's degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar.
• Strong proficiency in SQL for database querying.
• Strong proficiency in Excel for data manipulation.
• Programming experience in Python or R for advanced analysis and automation.
• Experience with statistical libraries or packages such as pandas or R's tidyverse.
• Demonstrated ability to perform in-depth data analysis beyond visual assembly.

Skills & Competencies

• In-depth analytical mindset with demonstrated ability to write complex queries and perform statistical calculations.
• Attention to detail for interpreting data correctly and spotting outliers and errors.
• Proficiency with Power BI and similar visualization tools such as Tableau.
• Understanding of data visualization best practices and ability to communicate information effectively.
• Excellent written and verbal communication skills.
• Collaborative attitude and proactive engagement with cross-functional teams.