Implementation Client

Role: Data Scientist with Python and SQL

Location: Austin, TX / Mountain View, CA

Onsite 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.

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 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.