Senior Data Scientist

2 weeks ago


abu dhabi, United Arab Emirates Anonymous Full time
Understand business challenges and client requirements, conduct research into and propose solutions, new strategies, and/or new products through PoCs.
Identify data sources and automate data acquisition processes. Evaluate third parties.
Understand, explore, and clean structured and unstructured data sets, mainly focusing on big data and including data validation and visualization.
Data engineering including feature transformation, binning, and selection; with methodology.
Prototype, build, and train AI models using existing and novel algorithms and techniques (i.e. GOFAI or ML, depending on the needs). Test, report, and adjust.
Deploy models to web services and data centers, and monitor model performance, scoring, and re-training.
Collaborate and support the efforts of the Data Science and Data Research Team.
Interact with team members, management, shareholders and clients.
Identify training and certifications to be provided to you for growing your skills.
Qualification/Technical Skills:
Ph.D. in a quantitative field such as Machine Learning, Computer Science, Engineering, or Science at large.
Minimum of 4 years of hands-on experience in a data science role with a focus on data wrangling, analytics, implementation of AI and DL algorithms, model evaluation, and result interpretation.
Specifically, a strong understanding of probability and statistics, as well as an intuition for data are required to be successful in this role.
Fluency in Python. Experience in Scala, Go, C++, or similar is appreciated.
Experience with databases and the creation of complex queries in SQL, preferably PostgreSQL.
Knowledge and experience using big data tools such as Hadoop, Spark, etc., as well as knowledge and/or experience with AWS.
Knowledge and/or experience with any of the deep-learning frameworks: TensorFlow, PyTorch, Keras, etc.
Fluent in at least one NLP library: NLTK, HuggingFace, spaCy, AllenNLP, TextBlob, SparkNLP, Gensim, etc.
Ability to implement and evaluate approaches from literature, train and adapt off-the-shelf models to a new domain.
Problem-solving attitude, with the ability and willingness to explore new paths in order to extract value from big data, and a drive for learning new tools and going beyond existing boundaries.
Strong communication skills, with the ability to present information and results in a clear fashion to team members, management, shareholders and clients.
Ideally, a willingness and motivation to prepare scientific publications and/or blog posts.
Collaborate with and support the efforts of the Data Science and Data Research teams.#J-18808-Ljbffr
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