Junior Mid-Level Data Science Engineer
We are seeking a junior-mid level Data Science Engineer to analyze large amounts of raw data from different sources to extract valuable business insights to aid in better business decision-making. Analytical mind, problem-solving skills and passion for machine-learning and research are critical for this role. You will be part of a highly passionate development team that is in the process of refining our Data Science toolkit that includes a wide set of generative AI tooling, predictive models, recommendation, and inference modeling for our AI product — ranging from time-series forecasting, sentiment analysis, custom object-detection, to named-entity recognition, text summarization, and geometric deep learning.
Responsibilities:
- Identify valuable data sources and automate collection processes
- Preprocessing of structured and unstructured data
- Discover trends and patterns in large amounts of data
- Build predictive models and machine-learning algorithms
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements:
- Strong fundamentals in training, evaluating, and benchmarking machine learning models
- Strong in Python Numpy, Pandas, keras (tensorflow or pytorch is a plus)
- Familiar with Feature selection, Feature Extraction (especially for deep learning is a plus++)
- Familiarity of common Hyper-optimization Techniques with different AI models.
- Experience handling large data sets
- Familiarity with BI tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- 3 to 5 years of experience in the above is preferred