• As 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.
• Responsible for successful delivery of data science solutions and services in a client consulting environment; experience in predictive modeling, optimization, and/or machine learning analytics techniques using tools/programming languages including SPSS, SAS, R, Python, Spark, etc. within a Hadoop-enabled environment.
• Define key business problems to be solved; formulate mathematical approaches and gather data to solve those problems, develop, analyze/draw conclusions, test solutions and present to client. Enhance performance by applying advanced mathematical modeling, data analytics, optimization, and machine learning techniques.

Required Technical and Professional Expertise

• Minimum of 8 years of related experience required
• Must have hands on experience on multiple cloud-based solutions like Red HAT, Azure, AWS and IBM Cloud for data storage, database connections and using technical architecture for end to end analytics
• Expertise in Deep data and analytics
• Time series analysis and forecasting
• Statistical modelling skills (significance testing, conditional probability)
• Linear Programming/ Optimization Techniques
• Agent based modeling and simulation
• Conversational Skills for ChatBots
• Knowledge of Agent Development Frameworks (e.g. SPADE, JADE, etc),
• Knowledge Graphs and Ontologies.
• Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, Java, or MATLAB
• SQL coding experience, Strong Python 3.5 skills.
• Experience in using containerized workloads and services such as Kubernetes, Docker, etc.
• Data integration processes such as Kettle
• Experience building AI models (ML, NLP, Neural Networks).
• Strong business acumen to solve client problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results.

Preferred Technical and Professional Expertise

• Proficient in English, Good collaboration skills for interacting with clients
• Ability to manage and make decisions about competing priorities and resources.
• Ability to delegate where appropriate.
• Must be a strong team player/leader.
• Ability to lead Data Science projects with multiple junior data analysts
• Strong oral written and interpersonal skills for interacting and throughout all levels of the organization.
• Ability to clearly communicate complex business problems and technical solutions.