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Senior Data Scientist with Big data, Hadoop, data visualization and reporting

Location: Offshore from India. 100% Remote (Around 12:05 PM IST to 9 PM IST)

Key Skills: Data Science, Machine Learning (ML), Python, R, SQL, Big Data, Hadoop, Spark, Tableau, Cloud (GCP Preferred but if not will go with AWS or Azure)

Job Description:

The client is looking for a strong senior data scientist to work remotely from offshore, India location. LinkedIn profile is mandatory for the applicant.

Job Requirements:

  • Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding.
  • Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
  • Organizes, interprets and structures insights from data, detects data anomalies and makes corrections.
  • Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decision-making.
  • Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts.
  • Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required.
  • Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation.
  • Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions.
  • Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients.

 

Skills

  • An advanced degree in Computer Science, Statistics, or a related field.
  • Strong knowledge in data science and machine learning methodologies.
  • Proficiency in programming languages like Python, R, and SQL.
  • Experience with big data tools like Hadoop, Spark, or similar technologies.
  • Excellent skills in data visualization and reporting.
  • Strong problem-solving skills and the ability to handle complex data analysis.
  • Good communication skills to effectively collaborate with other teams and stakeholders.
  • Several years of experience in a data science role, ideally in the retail industry.