Sr.Manager, Quality Analytics

Key responsibilities include:

The responsibilities of this position include, but are not limited to, the following:

• Design, Develop, and maintain user-friendly data visualizations and dashboards using complex datasets from different sources.
• Collaborate with a Quality analytics team and cross-functional partners to conceptualize and deploy advanced analytics solutions for business problems using Machine learning (NLP, classification , etc.,) and other statistical models
• Create ad-hoc data models, reports and analysis as needed to support business requirements.
• Leverage deep technical and analytical expertise to understand critical business opportunities and generate insights for action.
• Continuously explore and evaluate new methods to improve the way data analytics is used to create value

REQUIRED KNOWLEDGE, SKILLS, AND COMPETENCIES

Key Technical Knowledge, Skills and Competencies:

• Demonstrated ability to turn data into information that helps drive decisions.
• 3+ years of experience developing and/or applying ML/NLP solutions in an industry or academic context
• Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. R, D3, AWS, Snowflake, dbt) 
• Expertise in working with natural language data and building text-based products, using both classic and state of the art NLP techniques (e.g. text mining, word embeddings, transformer-based models) 
• Strong data visualization skills and experience with relevant tools (e.g. Spotfire, Power BI, and/or Tableau).
• Experience with statistical/analytical methodologies and algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time-series analysis, network analysis, hypothesis testing)
• Exceptional communication skills and ability to present findings to non-technical audiences
• Strong problem solving and critical thinking skills, accompanied by Analytical thinking/Data Analysis skills required to make sound decisions

PREFERRED EDUCATION AND EXPERIENCE:

• M.S. (or equivalent degree) in a quantitative field such as Statistics, Biostatistics, Econometrics, Economics, Data Science and 5+years of relevant work experience, or B.S. (or equivalent degree) and 7+ years of relevant work experience, or relevant comparable background
• Demonstrable experience in the pharmaceutical, biotechnology or device industry solving business and/or compliance challenges through the application of analytic approaches strongly preferred