Job Summary
We are seeking a motivated and detail-oriented Junior Data Scientist to join our dynamic team. In this role, you will assist in analyzing complex data sets, developing predictive models, and contributing to data-driven decision-making processes. The ideal candidate will have a strong foundation in data science principles and be eager to learn and grow within the field.
Duties
- Collaborate with senior data scientists to design and implement data models using Python and TensorFlow.
- Assist in the development of ETL processes to extract, transform, and load data from various sources.
- Conduct exploratory data analysis to identify trends and patterns using tools such as SAS and Hadoop.
- Participate in model training and deployment activities, ensuring models are optimized for performance.
- Utilize natural language processing techniques to analyze text data as needed.
- Support the integration of quantum engineering concepts into existing projects where applicable.
- Work with big data technologies like Spark to process large datasets efficiently.
- Document methodologies, findings, and insights for presentation to stakeholders.
Requirements
- Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Proficiency in programming languages such as Python; experience with TensorFlow is a plus.
- Familiarity with ETL processes and tools for data integration.
- Knowledge of machine learning concepts, including model training and deployment.
- Experience with big data frameworks like Hadoop or Spark is desirable.
- Understanding of statistical analysis techniques; experience with SAS is advantageous.
- Strong analytical skills with the ability to work independently as well as part of a team.
- Excellent communication skills to convey complex information clearly.
Join us in leveraging data to drive impactful decisions and innovations within our organization!
Job Type: Full-time
Pay: From $35.00 per hour
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Relocation assistance
- Retirement plan
- Vision insurance
Work Location: In person
