This is a remote position.
Job description- Data Scientist
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.
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.
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 responsibility.
Qualifications:
Bachelor's & or Master's degree in Data Science, Computer Science, Statistics, or a related field.
3-4 years of experience of minimum 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.
Key Skills- Python, R, Machine Learning, SQL, Power BI, Statistical/ Predictive Modelling
