Data Scientist

Job Description:Understand the business requirements and convert them into a well-defined problem statement.Building, installing, configuring, managing, and scaling state-of-the-art machine learning platforms on Azure cloud and on-premises powering Data & Analytics products and solutions.Collaborating with architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in the cloud and on-premises to solve complex problems.Creating & maintaining ML/DL pipelines and overall ML/DL workflow orchestration including but not limited to data collection, preparation, transformation, analysis, experimentation, training, validation, serving, and monitoring.Implementing ML/DL solutions addressing performance, scalability, and the governance/traceability of machine learning models.Iterate quickly through the latest technologies, products, frameworks, and R&D on the latest information related to ML/DL frameworks, tools & services.Identify the data sets required to develop predictive models for internal and external business problems.Utilize tools & technologies like Python, AWS, SQL, Linux, PowerBI, etc. to achieve insights and solutions.Perform different statistical tests like Mann-Kendall, Kruskal-Wallis, and Hurst-Exponent to identify trends and seasonality in time series data.Load, summarize, and visualize the data.Data visualization using Power BI & Tableau.Build K-Means, DB-Scan, Agglomerative & Hierarchical Clustering models.Create technical specifications.Bug fixing and documenting the findings.Mail Resumes to:

Decision Six Inc, 18 Campus Blvd, Suite#100, Newtown Square, PA 19073; Email:

hr@decisionsix.comTravel:

Must be willing to travel & relocate to unanticipated client locations throughout the US.Work Location:

Decision Six Inc, 18 Campus Blvd, Suite#100, Newtown Square, PA 19073

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