Data Scientist with Python and SQL

Job Description:

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.
• Required 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.
• Preferred Skills
• 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

Skills: "Data Scientist" AND Python AND SQL AND GCP AND Big Query AND "Data Studio" AND PySpark