Data Scientist - Predictive Analytics

  • Kolkata
  • Adani Ai Labs

We are looking for a skilled and seasoned Data Scientist with 5-7 years of experience in Predictive Analytics to become part of our Kolkata team. The perfect candidate should demonstrate a successful history in predictive analytics and possess a strong enthusiasm for using data to influence business strategies. At Adani, you will have the chance to engage in innovative projects and play a key role in the company's achievements within a vibrant and cooperative setting.


Roles and Responsibilities:

  • Conduct predictive analysis to identify trends, patterns, and insights from large data sets.
  • Develop and implement machine learning models and algorithms for predictive analytics.
  • Collaborate with cross-functional teams to integrate data-driven solutions into business processes.
  • Utilize statistical methods to analyze and interpret complex data sets.
  • Communicate findings and insights to stakeholders through data visualization and storytelling.
  • Stay updated with the latest advancements in artificial intelligence and predictive analytics.


Experience:

  • 5-7 years of experience in the development & deployment of enterprise level Data Science & AI Solutions.


Education Qualification:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.


Certification Required:

  • Professional certifications in Data Science, Machine Learning, or Predictive Analytics are preferred.


Behavioral Skills:

  • Analytical mindset with a keen attention to detail.
  • Strong problem-solving and critical thinking abilities.
  • Excellent communication and collaboration skills.
  • Ability to thrive in a fast-paced and dynamic work environment.


Technical Skills:

  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks & deployment tools such as Kubernetes, Docker & Containers etc.
  • Advanced knowledge of statistical analysis and data modeling techniques.
  • Expertise in data visualization tools such as Tableau, Power BI, or Matplotlib.
  • Familiarity with big data platforms like Hadoop, Spark, or Apache Flink.

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