IntroductionAs a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities- Consolidate data sets to improve reporting and analysis
- Build data-driven products and experiences that help our customers and directly impact their essential point.
- Provide insights using leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.
- Work with multiple large data set to extract insights for recommendations to enhance business growth.
Required Technical and Professional Expertise- One or more of statistical modelling tools: Python (data science stack - NumPy, SciPy, Pandas, scikit-learn, Tensor flow),R (ggplot2, lm, glm, rpart),Apache Spark MLIB, SPSS, SAS, Weka.
- Extracting data (ETL/ELT) and querying databases – SQL/NoSQL
- Data visualization & reporting
- Working knowledge of - Algorithms and data-structures, Unit testing, Version control, modern devops practices
Preferred Technical and Professional Expertise- Clear and concise verbal and written communication skills with experience in conveying complex concepts to non-technical users.
- Ability to analyze and understand business processes across industry sectors and relevant KPIs
- Clear understanding of probability and statistical inference fundamentals
- Intuition and working knowledge of machine learning algorithms