Chief Analytics Officer

2 weeks ago

Hubli, Karnataka, India beBeeDataScientist Full time ₹ 1,20,00,000 - ₹ 1,80,00,000
Job Responsibilities:
  • Analyze complex data sets to identify trends and patterns that drive business outcomes, leveraging expertise in machine learning and artificial intelligence.
  • Design and develop predictive models, algorithms, and techniques to improve analytics solution efficiency and accuracy.
  • Collaborate with cross-functional teams to ensure timely and accurate delivery of relevant, up-to-date data for analytics purposes.
  • Contribute to the development of innovative data and analytics solutions that meet business needs.
  • Deliver high-quality products and solutions in a timely, proactive, and entrepreneurial manner, accelerating solution delivery through reusable frameworks and prototypes.
  • Apply MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle.
  • Maintain detailed technical documentation and stay current on industry trends and new technologies in data science and analytics.
Required Skills & Qualifications:
  • 0-5 years of experience in AI/analytics product and solution delivery.
  • Bachelor's/Master's degree in information technology, computer science, statistics, or economics, or equivalent fields experience.
  • Strong understanding of machine learning and deep learning concepts, with a focus on natural language processing.
  • Proficiency in Python programming language, with experience using libraries like PyTorch for deep learning tasks.
  • Familiarity with the Elastic stack (Elasticsearch, Logstash, Kibana) for data management and analysis.
  • Experience in optimizing algorithms and time series forecasts.
  • Knowledge of prompt engineering techniques to improve model performance.
  • Ability to prototype applications using Streamlit or similar tools.
  • Experience working with large and complex internal, external, structured, and unstructured datasets.
  • Model development and deployment in cloud environments; familiarity with Github, CI/CD process, Docker, containerization, and Kubernetes.
  • Strong conceptual and creative problem-solving skills.
  • Good written, verbal communication skills, and presentation skills, engaging with various audiences, including business stakeholders, technology partners, and practitioners.
Benefits:

Contribute to cutting-edge projects, collaborate with experienced professionals, and grow your career in a dynamic and supportive environment.

Others:

Our team values innovation, creativity, and teamwork. If you're passionate about data science and analytics, we encourage you to apply for this exciting opportunity to join our team as a Data Scientist.

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