Data Science Strategist

1 day ago

Vellore, Tamil Nadu, India beBeeDataScience Full time ₹ 10,00,000 - ₹ 25,00,000

Job Title:

">Data Science Strategist">

Job Description:

  • Develop and implement logical yet creative strategies to solve complex problems in data science, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques.
  • Lead a team of data scientists to produce high-quality project deliverables on time.
  • Identify and address client needs by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using advanced methods.
  • Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques.
  • Enhance data collection procedures to include relevant information for building analytical systems, ensuring data quality and accuracy.
  • Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders.
  • Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials and other stakeholders.
  • Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques.
  • Strong programming skills in Python.
  • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders.

Required Skills and Qualifications:

  • Excellent understanding and hands-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI.
  • Excellent understanding and hands-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
  • Proficient in coding in common data science language & tools such as R, Python.
  • Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.
  • Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.
  • Exposure or knowledge in cloud (Azure/AWS).
  • Experience on deployment of model in production.

Benefits:

This is an excellent opportunity to work with cutting-edge technology and collaborate with a talented team of professionals.

Others:

We are committed to providing a supportive and inclusive work environment that encourages innovation and growth.

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