SSE- Data Science

Company Overview

BOLD is revolutionizing the career landscape by empowering individuals to discover and develop their professional paths. Our recent acquisitions of Monster and CareerBuilder will expand our global reach and impact. With a range of brands like FlexJobs, Zety, and Sonara and more, we provide jobseekers with the tools to create impressive resumes and connect with employers. BOLD fosters adynamic, inclusive culture that prioritizes innovation and growth. So don't wait and join us in shaping the future of work and redefining successful careers.

Position Overview

As the newest addition to our existing Data Science team, you'll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You'll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products

Key Responsibilities

• Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
• Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience

Required Skills

• Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods
• Expert knowledge in Python.
• Should have done one or more projects involving fine-tuning with LLMs
• Experience infeature selection, building and optimising classifiers.
• Experience working with backend technologies such asFlask/ Gunicorn etc.
• Experience on working with open source library such Spacy,NLTK,Gensim etc
• Experience on working with deep-learning library such as Tensor flow, Pytorch etc
• Experience with softwarestack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture,software testability etc.
• Be a keen learner and enthusiastic about developing software