Advanced Data Science Professional

3 days ago

Mangalore, Karnataka, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking an exceptional data scientist to fill a key position in our organisation. The ideal candidate will be responsible for designing and implementing cutting-edge solutions using machine learning and deep learning techniques.

Key Responsibilities:
  • Develop and lead projects with technical teams to deliver high-quality outcomes on time.
  • Analyse large and complex data sets to identify client needs and address them across various domains.
  • Process, cleanse, and verify the integrity of data using advanced methods.
  • Select features, build, and optimise classifiers/regressors using machine learning and deep learning techniques.
  • Enhance data collection procedures to include relevant information for building analytical systems and ensure data quality and accuracy.
  • Perform ad-hoc analysis and present results clearly to both technical and non-technical stakeholders.
  • Create custom reports and presentations with strong data visualisation and storytelling skills to effectively communicate analytical conclusions to senior officials and other stakeholders.

Requirements:
  • Expertise in data mining, exploratory data analysis, feature selection, model building, and optimisation using machine learning and deep learning techniques.
  • Strong programming skills in Python and proficiency in common data science languages and tools such as R.
  • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders.
  • Good understanding and hands-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI.
  • 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 role offers the opportunity to work on challenging projects, collaborate with experienced professionals, and develop advanced skills in data science and machine learning.

Other Opportunities

The successful candidate will have opportunities to participate in professional development programs, contribute to research initiatives, and engage in industry-related events and conferences.

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