Sr Data Scientist 34754

3 weeks ago

Juncos, United States Inteldot Full time

Inteldot has over 14 years in the life science industry with allocations a cross Puerto Rico, United Sates, Europe and Japan. This is a great opportunity for one of our leading clients in Puerto Rico. Administrative Shift Competencies / Skills: Proficiency in Python and SQL for data manipulation, statistical analysis, and automation. Experience working with Apache Spark and Databricks workspaces for advanced analytics. Familiarity with data visualization tools such as Tableau, Spotfire, or Power BI, with an understanding of UX design principles for effective data storytelling. Understanding of Machine Learning algorithms, model development, and evaluation techniques. Experience with multivariate statistical analysis and tools such as SIMCA for data exploration and predictive modeling. Demonstrated ability to translate complex analytical findings into actionable business insights. Excellent communication and collaboration skills to work cross-functionally with business, engineering, and product teams. Ability to integrate diverse data sources (e.g., PAT, LIMS, MES, OSIsoft PI) for end-to-end process analytics and digital transformation initiatives. Description: Leading, using and developing data science, machine learning, and artificial intelligence capabilities across site commercial organization. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value. Initiative and work independently with minimal supervision Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python. Working with SQL and other DB query languages. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions. Presenting analysis ideas, progress and results to business partners in clear and impactful manner. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets. Education: Doctorate or Masters + 2 years / Bachelors + 4 years/ Associates + 8 years / High school/GED + 10 years with experience in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field #J-18808-Ljbffr

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