Junior Data Scientist

About the position

Key Responsibilities

• Develop & Innovate: Create statistical models and algorithms using various libraries and abstractions.
• Analyze & Discover: Conduct exploratory data analysis, wrangle data, and discover new insights from diverse datasets.
• Collaborate & Support: Work with senior data scientists and engineers to implement and deploy solutions. You'll provide insights to our BI and BA teams and help monitor and maintain models in production.
• Learn & Grow: Stay up-to-date with the latest tools and techniques, conduct self-development, and research best practices in the field.

Experience and Qualification

• Education: A Master's or PhD in a STEM field such as Computer Science, Econometrics, Mathematical Statistics, or Actuarial Science is preferred.
• Experience: 1-3 years of experience in a statistical and/or data science role.
• Technical Skills:
• Proficiency in a programming toolset, particularly Python or R. Experience with C, C++, or Java is a plus.
• Experience with large datasets and distributed computing tools (e.g., Hadoop, Spark).
• Foundational knowledge of machine learning, statistics, and optimization.
• Familiarity with data mining, data structures, and various machine learning techniques like Supervised and Unsupervised Learning.
• Soft Skills: Excellent written and verbal communication skills, a strong desire to work in cross-functional teams, and an agile mindset.

Desired Skills

• Certifications in Cloud platforms like Azure or AWS.
• Any Data Science, DEVOPS, or Data Engineering certifications

Desired Skills:

• Data science
• Python
• C
• datasets