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Specific responsibilities
● Identify valuable data sources and support collection processes automation
● Undertake pre-processing of structured and unstructured data
● Analyze large amounts of information to discover trends and patterns
● Build predictive models and machine-learning algorithms
● Fuse data sources, and combine models through ensemble modelling
● Present information using data visualization techniques
● Propose solutions and strategies to business challenges
● Build data products to extract valuable business insights that drive optimal actions
● Collaborate with engineering, product development teams and SMEs.
● Write scientific and technical documentation
Requirements, experience and skills
● Degree in a quantitative field (e.g. mathematics, statistics, computer science, physics, etc.),
Master or PHD is an advantage
● Proven experience of at-least 4 years as a Data Scientist or similar role
● Strong problem solving skills with an emphasis on product development
● Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and
draw insights from large data sets
● Knowledge of advanced statistical techniques and concepts, and experience with applications
● Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
● Experience using business intelligence and data frameworks
● Knowledge on software development principles and architecture
● Solid oral and written communication skills, especially around analytical concepts and methods
Personal competencies
● Someone who's passionate about their work and fun to work with
● Excellent communication and teamwork skills
● Problem Solver and Get Things Done!
● Ability to thrive in a fast-paced, global start-up environment
● Results oriented, highly self-motivated, and quick-to-learn personality
Job ID: 28703143
Skills:
Microservices, Unix Shell Scripting, Numpy, Aws Ec2, Gitlab, Python, Sql, Jenkins, Pandas, DevOps methodologies, Prompt engineering, scikit-learn, Safety frameworks, Semantic search systems, Hugging Face, Bias mitigation, Diffusion models, LangChain, LLMs, Vector databases, Server-side APIs, In-context learning, Responsible AI, LlamaIndex, Transformer architectures, Model evaluation
Skills:
Jax, Tensorflow, Deep Learning, Recommender Systems, Nlp, Hive, Pytorch, Spark, Python, embeddings, fine-tuning, Transformers, pre-training, LLMs, Flink, prompt engineering, LLM applications, large-scale data processing, sequential models, RAG, PEFT methods
Skills:
Data Science, Machine Learning, Data Mining, Data Analytics, Python, Sql, Cloud platforms
Skills:
Machine Learning, Hive, Hadoop, Power Bi, Spark, Databricks, Statistical Modelling, Python, Sql, Generative AI, LLMs
Skills:
causal inference , Python, Sql, data analysis tools, visualization skills, R
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