KiE Square Analytics - Data Scientist - ML Forecasting

KiE Square is a leading AIML Company that provides advanced Data Science/Data Engineering Solutions to its clients and drives their Business Intelligence Transformation.

We invite you to join our Core Team of Data Scientists, Data Engineers, and AIML Developers who have a sharp analytical bent, have delivered multiple high-value projects while handling large datasets. and have built Predictive Models with a natural ability to take responsibility.

In this role, you will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Collaborate with senior data scientists and business stakeholders to understand project requirements and define analytical objectives.
• Conduct exploratory data analysis to uncover hidden patterns and correlations.
• Develop and implement machine learning algorithms to solve complex business problems.
• Evaluate and interpret model results, and present findings to stakeholders in a clear and concise manner.
• Continuously monitor and refine models to ensure accuracy and effectiveness. Stay up-to-date with the latest trends and advancements in data science, machine learning, and artificial intelligence.
• Strong background in machine learning, statistics, and time series forecasting.
• Proficiency in programming languages such as Python and experience with machine learning frameworks.
• Ability to work cross-functionally and communicate complex technical concepts to non-technical stakeholders.
• Experience with large-scale data analysis and building scalable forecasting models.
  
  

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• Strong understanding of statistical concepts and data analysis techniques.
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis using SQL and/or NoSQL databases.
• Familiarity with data visualization tools, such as Tableau or Power BI.
• Knowledge of machine learning algorithms and techniques.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong communication skills to effectively present findings and insights to non-technical stakeholders.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of natural language processing (NLP) techniques.
  
  

(ref:hirist.tech)