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Data Science

Data Scientist

Transforming data into insights

Data science is the interdisciplinary field of study that involves the extraction, analysis, and interpretation of data. It combines techniques from statistics, computer science, and domain-specific fields to make sense of the vast amounts of data that surround people like us. Data scientists use a variety of tools and techniques, such as statistical analysis, machine learning, and visualization, to identify patterns, trends, and relationships in the data, and to make predictions and informed decisions based on their findings and research. Data science has the potential to make a real difference in many fields, including business, healthcare, social sciences, and government, by providing valuable insights and recommendations that can drive informed decisions and improve outcomes.


A data scientist is a professional who specializes in the extraction, analysis, and interpretation of data. They are dedicated to transforming data into insights that can drive informed decisions and improve outcomes, and using a combination and variety of statistical analysis, machine learning, and data visualization techniques to identify patterns, trends, and relationships in the data, and to make predictions and informed decisions based on their research and findings. Data scientists work in a wide range of fields, including business, healthcare, social sciences, and government, and may be involved in research, policy-making, or consulting. They are highly analytical, detail-oriented, and skilled in mathematics, programming, and statistical analysis. Data scientists play a crucial role in helping individuals, businesses, governments, and organizations make sense of the vast amounts of data that surround people as well as informed decisions based on data-driven insights.


Whether you're looking to optimize your operations improve your marketing strategy, or understand the impact of a policy change, data scientists are here to help you unlock the potential of your data and achieve your goals.


Psoaic is currently looking for a data scientist. Our team of scientifically experienced professionals can help you unlock the potential of your data and provide you with valuable insights and recommendations to drive informed decisions. We use a variety of statistical analysis, machine learning, and techniques to identify patterns, trends, and relationships in the data, and to make predictions and informed decisions based on our findings and research. Whether you're looking to optimize your operations, improve your marketing strategy, or understand the impact of a policy change, we are here to help you achieve your goals through the power of data science.

Responsibilities
  • Collecting and analyzing data.

  • Developing statistical models.

  • Designing and implementing machine learning algorithms.

  • Interpreting and presenting your findings to clients or other professionals.

  • Developing and implementing data visualization tools.

  • Teaching and training other professionals in the field of data science.

  • Involving research and policy-making.

  • Using their expertise in data science to inform decisions and improve outcomes.

  • Helping people make informed decisions based data-driven insights.

  • Improving the world around us through the power of data science.

Qualifications
  • A bachelor's degree in computer science, statistics, mathematics, or a related.

  • A masterful or doctoral degree in data science or a related field.

  • Strong analytical and critical thinking skills are essential.

  • Proficiency in the following list of programming languages:

  • Android Studio

    • C

    • C++

    • C#

    • Cordova

    • Dart

    • GDScript

    • GML Script

    • Google G

    • Java

    • JavaScript

    • HTML5

    • Kotlin

    • Lua

    • Objective-C

    • PHP

    • Python

    • React Native

    • Rust

    • Swift

    • TypeScript

    • Xamarin

    • Xcode

  • Experience with statistical analysis and machine learning techniques.

  • Excellent communication and collaboration skills.

  • Presentation of their findings to clients or policy makers.

  • Experience in research and data analysis.

  • Ongoing professional development.

  • Importantly continuing education.

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