Senior Data Analyst Leader

3 days ago

Tirupati, Andhra Pradesh, India beBeeDataScience Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Data Science Leadership Opportunity

We are seeking a highly skilled Senior Data Scientist to drive business growth through data-driven insights.

The ideal candidate will have a strong background in statistical analysis, machine learning, and deep learning, with experience in developing and implementing scalable solutions that address complex business challenges.

  • Develop, implement, and maintain appropriate statistical techniques, algorithms, and ML/Deep Learning models to create new, innovative solutions.
  • Define, develop, maintain, and evolve data models, tools, and capabilities to support business goals.
  • Communicate findings to stakeholders through clear, concise visualizations.
  • Collaborate with cross-functional teams to drive business outcomes.
  • Develop predictive analytics solutions for various business problems, including object detection, natural language processing, sentiment analysis, topic modeling, and more.

Required Skills:

  • Bachelor's/Master's/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, or related field.
  • 6+ years of experience in data science or related field, with 3+ years of experience in a leadership role.
  • Advanced knowledge of statistical techniques, machine learning algorithms, and deep learning frameworks like TensorFlow, Keras, and PyTorch.
  • Programming expertise in languages like Python, R, C, or C++.

Key Benefits:

  • Opportunity to lead a team of data scientists to drive innovation and growth.
  • Chance to work on complex business challenges and develop creative solutions.
  • Collaborative work environment with diverse stakeholders.

About the Role:

  • Build, train, and lead a team of data scientists to drive innovation and growth.
  • Follow agile methodologies to deliver project milestones on time.
  • Develop and maintain excellent communication skills to present findings to technical and non-technical audiences.

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