Data Scientist – Social Media & Influencer Marketing

About the Role

We are looking for a Data Scientist with experience in social media analytics, influencer marketing, or creator economy platforms to turn large volumes of social media data into actionable insights. The ideal candidate will have strong expertise in data science, machine learning, statistical modelling, and analytics, with an understanding of influencer performance, audience behaviour, engagement metrics, and social media trends. You will work on building predictive models, identifying high-performing influencers, detecting audience patterns, and developing data-driven solutions to improve influencer discovery, campaign effectiveness, and platform growth.

• Analyse large datasets from social media platforms such as Instagram, YouTube, Facebook, and TikTok.
• Develop machine learning models for influencer discovery, ranking, recommendations, and performance prediction.
• Build algorithms to measure influencer authenticity, audience quality, engagement rates, and potential fake followers or engagement.
• Develop predictive models to forecast campaign performance, reach, engagement, conversions, and ROI.
• Perform audience segmentation, trend analysis, sentiment analysis, and behavioural analytics.
• Work with NLP and large language models (LLMs) to analyse social media content, captions, comments, and audience sentiment.
• Design and maintain data pipelines to collect, process, clean, and analyse structured and unstructured data.
• Collaborate with engineering and product teams to integrate data science models into production systems.
• Define meaningful KPIs, build analytical dashboards, and communicate insights to business stakeholders.
• Monitor model performance and continuously improve accuracy, scalability, and reliability.

What You'll Need

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of hands-on experience in data science, machine learning, or advanced analytics.
• Strong proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, and SciPy.
• Experience building and evaluating machine learning models, including classification, regression, clustering, and recommendation systems.
• Strong SQL skills and experience working with large datasets.
• Experience with data visualisation tools such as Power BI, Tableau, or similar platforms.
• Knowledge of statistical analysis, hypothesis testing, feature engineering, and model evaluation.
• Experience working with APIs, data pipelines, and structured or unstructured data.
• Preferred Qualifications:
• Prior experience working on social media analytics, influencer marketing, creator