Lead Data Scientist

4 weeks ago


Bengaluru, Karnataka, India SARVAJITH INFOTECH Full time
Senior Data Scientist

At SARVAJITH INFOTECH, we are seeking a highly skilled Senior Data Scientist to join our team. As a key member of our data science team, you will play a pivotal role in shaping the strategic direction of our AI practice, leading a team of talented data scientists and engineers, and delivering impactful AI/ML solutions to our clients.

Key Responsibilities:
  • Leverage data science tools and techniques to solve complex problems and stay up-to-date with the latest advancements in the field.
  • Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future of our organization.
  • Develop proof-of-concepts, present them to the business, and evolve solutions to meet the needs of our clients.
  • Research, learn, and disseminate new technologies to solve problems and improve existing solutions.
  • Manage the continuous improvement of data science and machine learning by following industry best practices and staying current with the latest research in the field.
  • Integrate data science solutions into current business processes and develop process standards and best practices in machine learning.
  • Peer review and publish work in top-tier ML/AI conferences and participate in external forums such as research conferences and technical summits.
Requirements:
  • Experience in analyzing complex problems and translating them into data science algorithms with attention to computational efficiency and testing at scale.
  • Expertise in machine learning, supervised and unsupervised, including time series forecasting, NLP, and deep learning algorithms.
  • Experience in statistical learning, including predictive and prescriptive analytics, web analytics, and parametric and non-parametric models.
  • Experience working with big data, identifying trends, patterns, and outliers in large volumes of data.
  • Experience with mainstream machine learning frameworks, SQL, relational databases, and data warehouses.
  • Domain knowledge in search and recommendation engines, as well as experience with multiple stakeholder management, data-based storytelling, and mentoring peers and juniors.

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