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.
- Attention to detail.