Data Science Lead

1 month ago


Delhi, Delhi, India KiE Square Analytics Full time

About KiE Square Analytics

We are a leading AIML company providing advanced Data Science/Data Engineering Solutions to our clients, driving their Business Intelligence Transformation.

Job Summary

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

Main Responsibilities

  • Collaborate with senior data scientists and business stakeholders to understand project requirements and define analytical objectives.
  • Collect, clean, and preprocess large datasets to ensure data quality and integrity.
  • Apply statistical analysis techniques and develop predictive models to identify patterns, trends, and insights.
  • Develop and implement machine learning algorithms to solve complex business problems.
  • Perform feature engineering and selection to optimize model performance.
  • 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.

Requirements

  • Bachelor's or Master'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.
  • Excellent problem-solving and analytical skills.
  • 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.
  • Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
  • Understanding of natural language processing (NLP) techniques.

Estimated Salary: $120,000 - $180,000 per year

Benefits

We offer a competitive salary range based on experience, excellent opportunities for growth and development, and a dynamic work environment.


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