Data Scientist, Chief Analytics Office

Key Skills

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

Job Description

The smartest companies today fully leverage data analytics for strategic decision making. The IBM Chief Analytics Office, a division of IBM Corporate Headquarters, combines business knowledge with big data to direct the future of IBM’s strategic transformation. Do you want to drive significant change within a leading global company and influence C-suite level decisions?
Your Role and Responsibilities
This position is an internal Data Scientist role with the Chief Analytics Office. You will work alongside senior consultants, managers, and data scientists to enhance business performance through analytics and consulting initiatives. The position’s main role and responsibilities center on building innovative analytical models, data gathering and research, fact–based quantitative analysis, engaging clients, and managing project outcomes. Are you passionate about harnessing the power of big data and analytics to address real–world business problems and play a key role in influencing change? If so, we want you to apply.
Required Technical and Professional Expertise

• Successful completion of IBM CAO Tech Re-entry program
• BA/BS in Data Science, Machine Learning, Statistics, or related STEM field
• Proficiency in Python, R, SQL or another programming language
• Experience or coursework in machine learning and/or natural language processing
• Statistical modeling through software (e.g. SPSS) or programming language (e.g. Python)
• Understanding of database and analytical technologies in the industry
• Demonstrated ability to think strategically about business, product and technical challenges in an enterprise environment
• Excellent oral and written communication skills
• Ability to collaborate in a team environment

Preferred Technical and Professional Expertise

• MS in Data Science, Machine Learning, Statistics, or related STEM field
• Experience and/or coursework in Deep Learning
• Advanced MS Excel skills (e.g. VLOOKUP, Pivot tables)
• Professional experience with Spark and/or TensorFlow
• Hands-on experience deploying analytical models to solve business problems
• Ability to develop experimental and analytical plans for data modeling processes
• Experience with data visualization tools