Eolaire Sonraí – Margaíochta Meáin Shóisialta & Margaíochta Thionchar

Fúinn an Ról

Táimid ag cuardach Eolaire Sonraí le taithí ar anailís meáin shóisialta, margaíochta thionchar, nó ardáin gheilleagair chruthaitheora chun méideanna mór de shonraí meáin shóisialta a thiontú ina léargas gníomhach. Beidh saineolas láidir i bhfeidhmiú ag an iarrthóir ar eolairí sonraí, meaisín fhoghlaim, múnlú staitistiúil, agus anailís, agus tuiscint ar fheidhmíochta thionchar, iompar an lucht éisteachta, méadranna fhuascailte, agus treochtaí meáin shóisialta. Oibreoidh tú ar thógáil samhlacha réamhfhaisnéise, thionchar ard-fheidhmíoch a aithint, patrúin lucht éisteachta a bhrath, agus réitigh dhonnacha sonraí a fhorbairt chun fionnachtain thionchar, éifeachtúlacht fheidhmchlár, agus fás an ardáin a fhás.

• 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.

Cad a Bheidh de Dhíth Ort

• 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