Job Overview
This is a senior-level data science position that involves taking ownership of various projects and initiatives. The ideal candidate will be able to analyze complex datasets, extract meaningful insights, and provide data-driven recommendations.
Key Responsibilities:
* Analyze and interpret large volumes of data to inform business decisions.
* Develop and deploy predictive models in real-world production environments.
* Collaborate with cross-functional teams to design and implement statistical models and machine learning algorithms.
* Communicate findings and insights to both technical and non-technical stakeholders.
Requirements
To be successful in this role, you will need:
* A minimum of 2 years of experience in data science roles.
* Proficiency in programming languages including SQL, Python, and Pyspark.
* Familiarity with advanced analytics libraries/frameworks such as Tensorflow, Keras, PyTorch, Scikit-learn.
* Robust understanding of statistical analysis, hypothesis testing, and various machine learning techniques.
* Hands-on experience with data visualization tools and libraries such as Seaborn, Matplotlib, or Plotly.
Benefits and Perks
We offer a dynamic work environment, excellent communication skills, and the ability to work on challenging projects.