Description

This mid-level Data Scientist position involves using various programming languages, mainly Python, R and SQL, to analyze complex data and develop algorithms and computational solutions. The ideal candidate will have a strong technical background with at least 2 years of experience in data science and machine learning. The candidate will also be adept at using tools such as TensorFlow, Pandas and Scikit-learn for data processing and Machine Learning tasks. Knowledge of data visualization software such as Tableau is a plus. Strong communication skills are required to effectively collaborate with the team and present findings to stakeholders. This is a full-time position, and the location is flexible.

Responsibilities

Develop, implement, and maintain data science solutions to meet business needs
Present and explain complex concepts and the results of statistical analyses to non-technical clients or stakeholders
Work closely with IT teams to integrate and manage data from diverse sources
Stay up-to-date with latest technology trends in data science and data engineering

Requirements

Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
At least 2 years of experience in data analysis and statistical modeling
Proficiency with programming languages like Python, R or Java
Experience with databases like SQL, Oracle or MongoDB
Strong knowledge of machine learning algorithms
Exceptional analytical and problem-solving skills
Good communication skills, both verbal and written
Ability to work independently as well as in a team
Highly detail-oriented and organized

Bonus Points

Certification in Data Science
Experience with cloud platforms like AWS, Azure or Google Cloud.