Senior Data Scientist

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