Offer summary

Qualifications:

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field., 3-4 years of experience in Data Science with hands-on use of Supervised and Unsupervised learning., Proficiency in Python, R, SQL, and familiarity with machine learning libraries and cloud platforms., Strong analytical and problem-solving skills, with the ability to communicate findings effectively..

Key responsibilities:

Collaborate with senior data scientists and business stakeholders to define analytical objectives.

Collect, clean, and preprocess large datasets to ensure data quality and integrity.

Develop and implement machine learning algorithms to solve complex business problems and evaluate model results.

Continuously monitor and refine models while staying updated with the latest trends in data science and AI.

Job description

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

 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

Data Scientist

Offer summary

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Key responsibilities:

Job description

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