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**Job Description** **Introduction** The data science team is dedicated to producing high-quality work that positively impacts the business. We are seeking experienced, self-driven data scientists who align with these values. **Responsibilities** The ideal candidate should excel at uncovering insights from large datasets and providing data-driven solutions to various business units. - Understand the data landscape - Perform ad-hoc analysis and present results clearly - Develop and test hypotheses in collaboration with domain experts - Engage in the full lifecycle of machine learning development, including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation - Understand business problems and assess the suitability of technical solutions to the problem statement - Evaluate the effectiveness of solutions and work towards continuous improvement **Skills** Along with a strong technical background, candidates should be inherently curious, creative, and possess a keen sense of observation. Excellent comprehension and communication skills are essential to understand business use-cases and effectively present findings to stakeholders. - Strong programming skills with a minimum of 2 years of experience in Python - Experience working with databases and expert knowledge of SQL - Proficiency in statistical machine learning algorithms and statistical analysis methods - Good knowledge of machine learning tools such as Scikit-Learn, Pytorch/Tensorflow - Knowledge of visualization tools - Strong analytical and critical thinking skills - Excellent communication skills - A mindset geared towards learning - Experience in Deep Learning applications is a plus - Experience with Big Data technologies, such as Spark, Hive, and Presto, and ETL pipelines is a plus - Strong communication skills and analytical ability - Solid knowledge of statistical and core machine learning algorithms - Good programming skills - Enthusiasm for learning
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