Data Science Analyst

Overview:

We are seeking a highly analytical and driven Solution Analyst / Data Scientist with a strong foundation in mathematics and econometrics to join our team. This role focuses on applying advanced data analysis techniques and AI-driven solutions to solve complex business problems, particularly in the marketing analytics domain.

What We Value in You:

· A curious and proactive individual who is passionate about data science and continuous learning

· Strong interest in applying analytical and AI-driven approaches to real-world marketing challenges

· Ability to independently investigate opportunities and propose innovative solutions

· Excellent communication skills with both technical and non-technical stakeholders

What You'll Be Doing:

· Analyze large, structured and unstructured datasets to extract actionable insights and support business decision-making

· Develop and implement data-driven solutions for marketing performance measurement, including ROI analysis and optimization

· Design and build statistical and econometric models (e.g., marketing mix models, forecasting models)

· Leverage AI and machine learning techniques, including AI agents and LLM-based solutions, to enhance analytical capabilities

· Collaborate with cross-functional teams to translate business requirements into analytical frameworks and technical solutions

· Identify opportunities to apply advanced analytics to improve marketing efficiency and effectiveness

· Automate data pipelines, reporting, and analytical workflows using modern tools and technologies

· Communicate insights clearly to stakeholders through data visualization and storytelling

What We Look For in You:

Required Qualifications

· Strong academic background in Mathematics, Econometrics, Statistics.

· Proficiency in Python, SQL, and/or R for data analysis and modeling

· Experience with data manipulation, statistical analysis, and model development

· Solid understanding of econometric techniques and their business applications

· Knowledge of AI agent frameworks (e.g., LangChain) and LLM applications

· Strong problem-solving skills and ability to work with complex datasets

Preferred Qualifications

· Experience in marketing analytics, such as marketing mix modeling, attribution, or customer analytics

· Experience building end-to-end data science solutions or analytics platforms

· Familiarity with cloud platforms and data engineering concepts

· Experience with visualization tools (e.g., Tableau, Power BI, or Python libraries)