Job Directory Senior Data Scientist

Senior Data Scientist
San Francisco, CA

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Job Description

Senior Data Scientist

San Francisco, USA


We are a digitally native company where innovation, design and engineering meet scale. We use the latest technologies in the digital and cognitive field to empower organizations in every aspect. We want you to join us to work for the biggest clients in tech, retail, travel, banking, ecommerce and media, revolutionizing and growing their core businesses while helping them (and you!) stay ahead of the curve. Be part of a company with the most cutting-edge practices and technologies plus a unique team. Globant is an EOE M/F/D/V. For many positions relocation is available if needed. Globant does not accept unsolicited 3rd party resumes.

What Are We Looking For?

Data Scientist

What Will Help You Succeed

BS or MS in Mathematics/Data Science or related technical field or equivalent combination of education/experience A minimum of 8+ years of experience in global algorithm development and deployment Extended experience with Python, SQL Extended experience in AI/ML framework Focus to details, data science algorithms, data structures, and distributed algorithms Experience with Hadoop ecosystem (Spark, Hive, HBase) is a plus Knowledge on streaming data and data pipelines Knowledge on Extract, Transform, Load (ETL) and distributed processing techniques such as Map-Reduce Experience working with large scale enterprise organization with cross-functional teams Excellent verbal and written communication skills Great problem solving and analytical skills Experience working in solutions over any major Cloud provider (AWS, Azure, GCP) is a plus Experience creating UI/user interface is a plus

You Will Get The Chance To

Data extraction in Hive, SQL Design and implement data pipelines for processing and aggregate data Descriptive analysis, visualization, dashboard, PPT Orchestrate data ingestion into Data Warehouses such as HBase Work with stakeholders and a cross-functional team to understand requirements to develop data science framework Develop and deploy AI/ML solutions Build collaborative partnerships with software architects, technical leads and key individuals within other functional organizations Ensure code quality by actively participate in code reviews. Test solutions and ensure it meets specifications and requested performance Build and foster a high performance culture, mentor team members and provide your team with the tools and motivation to make things happen Leads the analysis and design of quality technical solutions

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