Sensia Global - Data Scientist - NLP

<p>We are seeking an inquisitive and results-driven Data Scientist with a strong focus on Machine Learning to join our growing analytics team.<br/><br/> You will be responsible for turning complex datasets into actionable insights and deploying models that directly impact user experience and business outcomes.<br/><br/> Key Responsibilities :<br/><br/>- Model Development: Design, build, and deploy production-ready Machine Learning models (e.g., classification, regression, clustering, NLP) to solve core business problems (e.g., recommendation systems, fraud detection, predictive maintenance).<br/><br/>- Data Exploration: Conduct extensive Exploratory Data Analysis (EDA) and feature engineering to prepare data for modeling.<br/><br/>- Experimentation: Design and analyze A/B tests and statistical experiments to evaluate the performance of models and algorithms.<br/><br/>- MLOps: Work with the engineering team to deploy, monitor, and maintain models in a production environment.<br/><br/>- Communication: Clearly communicate complex results and methodologies to both technical and non-technical stakeholders.<br/><br/>Required Qualifications :<br/><br/>- Experience: 3+ years of experience as a Data Scientist or Machine Learning Engineer.<br/><br/>- Technical Skills: Expert proficiency in Python and its data science libraries (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch).<br/><br/>- Statistics: Strong foundation in statistics, probability, and causal inference.<br/><br/>- SQL: Excellent SQL skills for querying and manipulating large datasets.<br/><br/>- Education: Master's or Ph.D in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering).<br/><br/> Bonus Points :<br/><br/>- Experience with big data technologies (e.g., Spark, Hadoop).<br/><br/>- Familiarity with cloud-based ML platforms (e.g. , AWS SageMaker, GCP Vertex AI).<br/><br/>- Publications or active contributions to the ML community.<br/><br/>- Experience with deep learning and specific domains like NLP or Computer Vision<br/></p> (ref:hirist.tech)