Federal Express Corporation is looking to find new patterns, insights, and relationships in big data to develop solutions that quickly and visually communicate results, drive optimization and improvement of product development and business strategies, and identify business improvement insights.
Requirements
- Proficiency required in at least one programming language, such as (SQL, Python, R, Java, or similar language)
- Proficiency in one visualization tools/packages, such as (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn or similar tool)
- Exposure to relational database platforms, such as Teradata and Oracle.
- Experience in data mining, developing/implementing statistical models, machine learning models, algorithms, or visualizing data.
- Experience with statistical programming languages such as R, Python, SQL, and SAS required.
- Exposure to Machine Learning modeling, including scripting and Machine Learning libraries in R, Python, or similar.
- Exposure to data modeling, ETL (Extract-Transform-Load) concepts, query performance tuning and testing.
Responsibilities
- Works as part of a team to perform advanced analytics, including predictive Machine Learning (classification and regression, supervised and unsupervised modeling), inferential statistics, hypothesis testing, and qualitative analysis on large data sets that include both structured and unstructured data to develop crucial business insights and communicate to the business in an understandable way.
- Work as part of a team to develop and deploy analytical and machine learning models (with general understanding of data engineering and ML Ops)
- Independently works on analyzing and interpreting data to identify trends, insights, and logical data driven solutions for business problems.
- Develops analytical models and algorithms which apply data to identify business improvement insights and inform the development of processes and tools (e.g. dashboards, other visualizations)
- Designs and implements reporting dashboards and other visualizations that track and visually communicate key business metrics and provide actionable insights
- Participates in design sessions to implement experiments to answer targeted questions and solves known issues by actively engaging with business partners to understand key business challenges.
- Ensures accuracy and quality of data, including reconciliation from disparate sources.
Other
- Bachelor's in data science, computer science, applied mathematics, data analytics, statistics, industrial engineering, or related quantitative field.
- Zero (0) to three (3) years relevant experience required.
- Ability to effectively present information to management, end users, co-workers, or vendors.
- Strong problem-solving skills.
- Strong written and verbal communication skills.
