Data Scientist

About the Role

• We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets.
• You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains.
• We will rely on you to build data products to extract valuable business insights.
• In this role, you should be highly analytical with a knack for analysis, math and statistics.
• Critical thinking and problem-solving skills are essential for interpreting data.
• We also want to see a passion for machine-learning and research.
• Your goal will be to help our company analyze trends to make better decisions.

Responsibilities

• Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.
• Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.
• Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.
• Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.
• Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.
• Design new service offerings and solutions in E-Commerce and different fields.
• Keep up to date with latest trends and technologies in the data science and ML fields.
• Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.
• Work closely with Business Analysts and product development teams to understand and implement their requirements.
• Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.
• Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.

Requirements

• Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.
• At least 2 - 4 years' of experience as a data scientist (quantitative analytics and data modeling).
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
• Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).
• Experience in Deep Learning algorithms and techniques.
• Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).
• Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).
• Excellent in Algorithms and Object-Oriented programming.
• Familiarity with database technology (design and implementation) and query language.
• Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.
• Strong organizational and project management skills.
• Good problem-solving skills.
• Excellent communication and presentation skills