Description

You will lead end-to-end data science project lifecycles within a 6-month extendable contract.

Responsibilities

• Manage the full project lifecycle from initial use case framing and data collection to model building and deployment.
• Apply machine learning techniques to solve problems involving time series, regression, classification, clustering, NLP, and IoT data.
• Develop and implement deep learning models using various neural network architectures.
• Communicate model inferences and results through effective data visualization.

Required Skills

• 5+ years of experience in data science roles.
• Proficiency in R and Python, including libraries such as scikit-learn, NumPy, Pandas, Matplotlib, Keras, TensorFlow, NLTK, Gensim, and SpaCy.
• Strong foundation in statistics and deep understanding of ML algorithms.
• Practical experience with CNN, RNN, LSTM, GANs, and Autoencoders.
• Ability to use visualization tools like Tableau or R Shiny.
• Experience with time series, regression, classification, and clustering techniques.

Preferred Skills

• Exposure to cloud environments and on-premise data science infrastructure.
• Knowledge of big data technologies and DevOps tools including Docker and Singularity.

Key Skills

Education

ANY GRADUATE