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Thermo Fisher Scientific Data Scientist/ BI Developer in Tewksbury, Massachusetts

As a Data Scientist/BI developer, you will be part of a team dedicated to increasing business efficiency of a Fortune 200 Company. This new position provides an exciting way for an experienced Data Scientist to employ a cross section of machine learning and analytic processes to develop algorithms that will improve productivity and drive revenue using Power BI.

You will quickly grasp complex business priorities to translate them into algorithms and communicate the results to stakeholders with varying degree of technical background.

You should be a hands-on programmer who will use strong data mining and modeling skills to integrate multiple complex data sources, such as marketing, finance and supply chain etc. and translate them into easily consumable visualizations and support data science initiatives.

Key Responsibilities:

  • Develops strategies and requirements to leverage machine learning and RPA to enhance business processes.

  • Use scripting languages like python to build automation processes for data integration with visualization tool (Power BI, Tableau)

  • Collaborate closely with stakeholders to identify key business needs and areas of opportunities and translate business questions into quantitative analyses via machine learning and data modeling

  • Develop visualization and key performance indexes to track effectiveness of decisions (machine learning outputs).

  • Effectively respond to requests for ad hoc analyses

  • Build real time dashboards and reports to track data science driven performance, and report-out to leadership

  • Optimize the ML data models continuously based on feedback from customers

Minimum Requirements/Qualifications:

  • Bachelor's Degree plus 3+ years of relevant experience in data science, analytics, statistics, applied math or related or master's degree plus 2+ years of relevant experience in data science, analytics, statistics, applied math or related

  • 3+ years' practical experience in data mining and statistical modeling

  • Demonstrated experience applying data science methods to real-world data problems

  • Experience utilizing visualization tools to take advantage of showing available information, e.g. Power BI

  • Team collaboration and cross-functional partnerships

  • Good communication and presentation skills

  • Proficiency in Python, fluency in R helpful. Exposure to SQL and other languages is expected

  • Experience in SQL Server, Oracle, data lake, AWS/Cloud Computing, databricks

Thermo Fisher Scientific is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.

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