Senior Data Science Analyst

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, AWS

Job Description

Job Title: Senior Data Science Analyst

Requisition ID: 155930BR

Location: US -Remote

What will you do?

Are you interested in shaping the future of data science at Thermo Fisher? The Senior Data Science Analyst is a highly visible, highly influential, and dynamic role. The successful candidate will lead the reporting and analytics of our Data Science program.

As the Senior Data Science Analyst, you will work directly with our team of data scientists to develop reporting on the performance and quality of our predictive models. You will develop a roadmap for report feature development, and build out automated reporting using Power BI. You will analyze model performance based on the reporting to make business recommendations to marketers and model improvement recommendations to data scientists.

NOTE: This is a reporting and analysis role with the data science team with an opportunity to learn more about data science. The successful candidate will have a broad background in business systems analysis, business intelligence tools, marketing analysis, theory of statistics, and presentation and project management skills. The role is ideal for someone who is passionate about data-driven process improvement, data architecture, and understands the statistical theory about how to measure model quality.

Responsibilities:

• Develop and maintain a business metrics dashboard that measures the business impact and model quality of our data science programs.
• Drive improvement of marketing processes through data visualization and continuous ad hoc analysis of business performance of data science program.
• Develop the vision and roadmap for data science reporting.

How will you get there?

Education:

• Bachelor’s degree in a STEM discipline with a strong background in math, operations research, or statistics. MBA with a strong technical background is also acceptable.

Experience:

• 5+ years of hands-on experience in business intelligence reporting and analytics. Demonstrated experience in process analysis and KPI creation: studying a process, problem and data, and then recommending and creating metrics, measures, and KPI that enable data-driven business decisions.
• Deep experience in BI data architecture and relational database architecture concepts such as Star schema and Snowflake.
• Strong expertise with several leading data visualization tools, such as PowerBI and Excel. Ability to convey message simply and advise on best possible visualizations.
• Experience with enterprise data warehouses such as Oracle and AWS.
• Experience in marketing data systems such as web/digital (Adobe Analytics) and email (Silverpop, Eloqua, etc).
• Experience in commercial/CRM data such as Siebel or SFDC.
• Demonstrated ability to learn new data systems and business processes.
• 4+ years of experience in writing scripts to extract and manipulate data, USAing SQL, Python, and/or Databricks for report automation.
• Excellent communication skills. Ability to present executive summaries of actionable insights and recommendations to executives.
• Experience with generating requirements and building a roadmap for development. Experience in project management and change management principles.
• Demonstrated initiative and tenacity to begin a project and complete it. Demonstrated self-starter.