Data Scientist- Predictive Analytics

Purpose/ObjectiveWe are seeking a talented and experienced Data Scientist with 4-7 years of experience in the Artificial Intelligence industry to join our team in Kolkata. The ideal candidate will have a proven track record in predictive analytics and a passion for leveraging data to drive business decisions. As a Data Scientist at Adani, you will have the opportunity to work on cutting-edge projects and contribute to the companys success in a dynamic and collaborative environment*Key Responsibilities of RoleConduct 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.*Qualifications and ExperienceExperience:4-7 years of experience in the development & deployment of enterprise level Data Science & AI Solutions.Education Qualification:Bachelors or masters 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.