Talent 360 is hiring a Mid- Senior Data Scientist for one of our clients! Job Responsibilities:
Formulating, suggesting, and managing data-driven projects that are geared at furthering the business's interests.
Collating and cleaning data from various entities for later use by junior data scientists.
Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
Selecting and employing advanced statistical procedures to obtain actionable insights.
Cross-validating models to ensure their generalizability.
Producing and disseminating nontechnical reports that detail the successes and limitations of each project.
Suggesting ways in which insights obtained might be used to inform business strategies.
Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
Senior Data Scientist Requirements:
Advanced degree in data science, statistics, computer science, or similar.
Extensive experience as a data scientist.
Proficiency in R or Python, where the former is preferred. In-depth understanding of SQL.
Competent in machine learning principles and techniques.
Demonstrable history of devising and overseeing data-centered projects.
Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
Outstanding supervision and mentorship abilities.
Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
Compliance with prevailing ethical standards.
Job Requirements:
3 - 5 Years of Experience as a Data Scientist.
A bachelor’s degree in Statistics, Machine Learning, Mathematics, Computer Science, or any other related quantitative field.
Experience working with Natural Language Processing (NLP) and GAN AI.
In-depth understanding of SQL.
Hands on Experience working on strategy or full-life cycle data science as well as experience working with data mining tools such as SAS, Python, SPSS, and R.
Competent in machine learning principles and techniques.
Demonstrable history of devising and overseeing data-centered projects.
Strong verbal and written communication skills.
An analytical mind and inclination for problem-solving.
