Lead Data Scientist $3500-5000 Offline
Duties and Responsibilities
- Direct communication with the clients across various industries to solve business problems.
- Data analysis, pipeline implementation, and model creation based on clients’ data and problems.
- Creation of end-to-end pipelines for clients, educating clients on how to use the datrics.ai platform and utilize the created pipelines.
- Ad-hoc research, design, and implement algorithms for vertical use cases.
- Contribute to the product concept planning from a data analyst perspective, helping drive platform development from the user’s standpoint.
Requirements
Education and degree:
- Masters Degree in a quantitative field (Math, Statistics, Computer Science, Engineering, Data Science, Operations Research, etc.).
Competent in:
- Applied Statistics (Exploratory Data Analysis and Distributions Fitting, Inference on Populations, Regression Analysis, Causality).
- Predictive analytics (Classification and Regression Models, Time-series analysis and forecasting, Survival or duration analysis as a plus).
- Design of the predictive research.
Good understanding of:
- Data Mining concepts (Clustering, Frequent Pattern Mining, Outliers Detection).
- Machine Learning Concepts (Supervised/Unsupervised learning, Models assessment, and comparison).
- Machine Learning Algorithm (Tree-based models, Linear Models, Instance-based models, etc.).
Ability to effectively communicate in written documents and oral briefings regarding studies initiation, justification of methods selected, results, conclusions, and recommendations.
Python programming skills.
Basic knowledge in:
- Databases (SQL and NoSQL).
- Development Tools (SVN, Git).
Understanding of software development company functioning.
Understanding of software development life cycles.
Skills & abilities:
- English upper-intermediate level or higher.
- Team playing and result orientation skills.
- Strong communication and client orientation.
The job ad is no longer active
Job unpublished on
21 April 2022
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