Urgent Requirement || Senior Data Scientist || Onsite || C2C at Austin, Texas, USA |
Email: [email protected] |
Role : Senior Data Scientist Location : Austin, TX (Only Local) Onsite / Remote : 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. 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 -- Keywords: information technology Texas |
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Thu Dec 14 21:19:00 UTC 2023 |