Interesting Job Opportunity: KiE Square Analytics - Data Scientist - R/SQL/Python - #978063

KiE Square Analytics


Date: 3 days ago
City: Delhi, Delhi
Contract type: Full time
Role : Data style="">Job description :

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 & have built Predictive Models.

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.

ResponsibilitiesKey Skills : Python, R, Machine Learning, SQL, Power BI, Statistical/ Predictive Modelling

  • 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.
  • Conduct exploratory data analysis to uncover hidden patterns and correlations.
  • 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.
  • Have a natural ability to take :
    • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
    • 3-4 years of experience of a minimum of 2 projects in Data Science that include hands-on use of Supervised & Unsupervised learning.
    • Application-level experience in Statistics, Machine Learning , Deep Learning , Natural Language Processing, EDA , Power BI , Problem Solving ,AI
    • Libraries : NumPy , Pandas , Matplotlib , Seaborn , Scikit-Learn , NLTK , Streamlit , TensorFLow , Keras
    • Cloud : AWS ,GCP , Azure
    • Languages : Python ,R , SQL , HTML
    • Tools : Office , Jupyter , Colab , VS Code , Pycharm
    • Familiarity with Big Data frameworks and visualization tools (Power BI, Hadoop, Spark, Tableau)
    • 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.
(ref:hirist.tech)
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