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Job Description
- Perform all the phases of a data science project: business understanding, data understanding and preparation, exploratory analysis, modeling, model evaluation, communicating results and business value of a model to the product leadership and finally deploying your data product.
- Manage your activities, scope and timelines on the projects with minimum supervision.
- Work with development teams & business groups to ensure models can be implemented as part of a delivered solution replicable across many clients.
- Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand.
- Ability to explain and present results to customers and executive stakeholders.
Job Requirements
Requirements:
- 3+ years of experience as a Data Scientist.
- Fluency with at least one scripting language such as Python.
- Strong applied mathematical and statistical skills regardless of the tools.
- Demonstrated experience in implementing ML algorithms from scratch and developing an algorithm documentation to be communicated with the other data scientists.
- Breadth of skills and experience in machine learning – diverse types of data and sources, different types of learning models, diverse learning settings.
- Basic knowledge of visualization tools (Tableau, Qlikview, etc.).
- Solid understanding of deep learning techniques.
- Demonstrated ability to propose novel solutions to problems, performing experiments to show feasibility of their solutions, and working to refine the solutions into a real-world context.
- Strong analytical, written, and verbal communication skills.
Desirable Skills:
- Experience with Python libraries such as numpy, pandas, etc…
- Experience with ML libraries such as SKLearn, MADlib, etc…
- Experience with ML frameworks such as TensorFlow, Keras, etc…
- Proficiency in using query languages such as SQL.
- Solid understanding of federated analytics and federated learning.
- Experience with Big data tools is preferred (Hadoop, Spark, etc.).
Nice To Have:
- Customer focused & Problem solving skills.
- Possesses strong product/technology/industry knowledge.
