Senior Data Scientist

Summary

Join Brightflag's growing team as a Senior Data Scientist and leverage your experience in deploying machine learning solutions to solve complex business problems within a SAAS product environment. You will manage the entire development pipeline, from exploratory analysis to deployment, thriving in a dynamic startup setting that values autonomy and creative solutions. Collaborate with data science, product, and engineering teams to develop innovative analytical solutions, focusing on both internal and external data science projects. Work on classical machine learning tasks (classification, regression) and innovative Generative AI applications. Contribute to product features that deliver value to customers and enhance internal processes. This role offers a flexible work location across Ireland.

Requirements

• 5+ Years developing and deploying machine learning models and solutions, ideally in a software product focused environment
• Strong programming skills in Python
• Strong skills in NLP, foundational representations like TFIDF matrices and topic modelling as well familiarity with Word2vec, Transformers etc... Experience working with text embeddings for data extraction, classification etc
• Some familiarity with generative ai text based applications and frameworks, in particular applying generative ai models to product application development. Knowledge of frameworks such as langchain or llamaindex  may be useful but not essential. Similarly familiarity with patterns like RAG would be beneficial but not essential
• Application of classification techniques to multiclass and multi label classification
• Familiarity with base Python stack such as Numpy,SciPy, Sklearn and experience developing Neural Network models in Keras/Tensorflow/PyTorch
• Application of regression techniques to predict continuous outcomes. Some familiarity with Time Series forecasting is also a plus
• Clustering and segmentation analysis is also beneficial, familiarity with core algorithms like KMeans, DbScan etc
• Comfortable working with ambiguity in a fast-paced product environment
• A passion for building product-focused solutions that solve customer problems
• A track record of shipping product by working collaboratively with product and software engineering teams
• Ability to work autonomously

Responsibilities

• Own the full model development process from initial exploratory analysis and proof of concept through to deployment in production
• Develop classification, regression and clustering models as appropriate to solve business problems
• Apply generative models to generate text, reports and insights as part of exciting new product features
• Analyse natural language text to uncover insights and transform data
• Develop proof of concepts to business problems including research of novel machine learning techniques and libraries to solve business problems
• Deploy models in our cloud infrastructure and design and implement MlOps pipelines
• Deploy models to production in the Brightflag app, working with engineering and product teams

Preferred Qualifications

• Experience deploying machine learning systems to the cloud is beneficial In particular experience working with AWS machine learning stack as well as some familiarity with CI/CD tools such as Jenkins/AWS Codebuild/Bitbucket pipelines
• Experience working with docker and containerised environments is a plus ; also some bash scripting experience and Linux shell knowledge is advantageous. Experience working in a shared code repository with version control using git
• Some experience of dashboard tools such as PowerBi/Qlik/Tableau a plus but not necessary

Benefits

• Comprehensive health insurance, life insurance and long term illness/income protection
• Fully flexible work location and work patterns so you can balance life at home with life at work - come to the office, work at home… or enjoy a blend of both at your discretion
• Learning subsidy of €2,000 annually, to spend as you wish, plus study and examination leave where applicable. Our ‘bookworm’ program also enables you to order a book a month.. on us!
• Access to Pluralsight - the on demand learning platform for tech teams
• The Tax-Saver or Cycle-to-Work Scheme
• Wellbeing program & stipend
• Home office set-up supports
• 25 days holidays + 4 company ‘Reset’ days throughout the year