Data Scientist with Python and SQL
Cynet Systems
Job Description
Pay Range: $65hr - $70hr
Responsibilities
- Contribute to development on multiple work streams / projects / programs simultaneously.
- Work with product lead, eng lead and program manager to understand business/functional requirements and roadmap/timeline for delivery.
- Develop data model, pipelines and reports/dashboards per requirements and project plan.
- Plan and execute test plans and test cases.
- Participate in project team meetings.
- Proactively communicate the status of development, raise/escalate issues/challenges as they arise.
Skills
- Expert-level data science, data modeling, data pipeline skills.
- Solid understanding of data management concepts - data processing, analytics, machine learning and visualization.
- Experience with Data Manipulation using Python/Pyspark.
- Experience with Jupyter/COLAB using Python libraries such as Pandas, Sklearn, NLTK, Gensim.
- Interested in Text analytics, Natural Language processing, Classification and Clustering.
- Significant experience creating clean, insightful dashboards for executives and non-technical audiences, using Tableau, Microstrategy, Qlik or similar products.
- Eye for product excellence - developing low-latency, reliable reports/pipelines; designing with data visualization best practices.
- Excellent written and verbal communication skills.
- Ability to organize, prioritize and plan their own work, while aligning with project/program priorities and changes to priorities.
- Ability to work with a diverse team of engineers & analysts, across locations, and on multiple programs simultaneously.
- Experience working with self-service reporting platforms/solutions.
- Experience with Google & GCP data technologies (BigQuery, Cloud SQL, Data Studio), or equivalent technologies in the market.
- Experience with Data Visualization libraries such as Matplotlib.
Expertise level
Work arrangement
Key skills
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