*job summary*
- this role is responsible for leading the collection, cleaning, preprocessing, and analysis of large datasets to derive meaningful insights. The role generates regular reports and ad-hoc analysis, highlighting key metrics and insights that inform business decisions. The role translates complex data into actionable recommendations for various departments, such as marketing, operations, or finance. The role ensures data accuracy, integrity, and consistency across all analyses and reports.
*responsibilities*
- participates as a senior member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
- creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
- reviews and assesses existing reporting suite with a view of modernization through automation and process improvement.
- collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.
- collaborates with smes to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.
- drives innovation and integration of new data science related technologies and practices into projects and activities in the r&d organizations.
- provides guidance and mentoring to less
- experienced staff members.
- develops and builds productive internal/external working relationships and may provide mentoring and guidance to lower-level employees.
*education & experience* recommended*
- four-year or graduate degree in mathematics, statistics, economics, computer science, or any other related discipline or commensurate work experience or demonstrated competence.
- typically has 7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.
*preferred certifications*
- programming language/s certification (sql, python, or similar)
*knowledge & skills*
- agile methodology
- business intelligence
- computer science
- dashboard
- data analysis
- data management
- data modeling
- data quality
- data science
- data visualization
- data warehousing
- extract transform load (etl)
- machine learning
- power bi
- python (programming language)
- r (programming language)
- sas (software)
- sql (programming language)
- statistics
- tableau (business intelligence software)
*cross-org skills*
- effective communication
- results orientation
- learning agility
- digital fluency
- customer centricity
*impact & scope*
- impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
*complexity*
- works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
*disclaimer