Data Scientist with Python and SQL

Data Scientist with Python and SQL
Cynet Systems
8 months 1 week ago

Job Details

We are looking for Data Scientist with Python and SQL for our client in Austin, TX / Mountain View, CA

Job Title: Data Scientist with Python and SQL

Job Location: Austin, TX / Mountain View, CA

Job Type: Contract

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 & Google Cloud Platform data technologies (BigQuery, Cloud SQL, Data Studio), or equivalent technologies in the market.
  • Experience with Data Visualization libraries such as Matplotlib.