IBM Data Scientist - Cognitive & Analytics, SF or Dallas in Raleigh, North Carolina
IBM Global Business Services (GBS) is hiring a Data Scientist for our Cognitive & Analytics Consulting Practice. This is a customer-facing and technical advisor role directly responsible for helping top-tier clients meet their business needs by developing complex and innovative solutions. In this role, you will have access to world-class industry talent and technology, as well as the training and career development tracks that will enable you to accelerate your skills and industry expertise in the cognitive era.
Lead strategy discussions and help to design and develop a solution that meets clients goals and outcomes
Conduct data analysis and predictive analysis to meet client needs
Reverse-engineer implemented solutions to understand the client problem and resolve client challenges
Create predictive models, train and leverage machine learning APIs, build machine learning pipelines, build Chatbots for the enterprise, embed intelligence in a variety of industry or domain-specific use-cases, and more
You will have an opportunity to specialize in an additional Data Engineering track, if you demonstrate knowledge of modern data engineering technologies such as Scala, Spark, Alluxio, HDFS, Cassandra, and general data devops.
IBM Global Business Services (GBS) is a team of business, strategy and technology consultants enabling enterprises to make smarter decisions and providing unparalleled client and consumer experiences in cognitive, data analytics, cloud technology and mobile app development. With global reach, outcome-focused methodologies and deep industry expertise, IBM GBS empowers clients to digitally reinvent their business and get the competitive edge in the cognitive era in over 170 countries.
Bottom line? We outthink ordinary. Discover what you can do at IBM. Learn more about our Cognitive Business work at https://www.ibm.com/cognitive/
Preferred locations are Dallas, TX and San Francisco, CA.
Health Insurance. Paid time off. Corporate Holidays. Sick leave. Family Planning. Financial Guidance. Competitive 401K. Training and Learning. We continue to expand our benefits and programs, offering some of the best support and guidance and coverage for a diverse employee population.
Our goal is to be essential to the world, which starts with our people. Company wide we kicked off an internal strategy program called Go Organic. At our core, we are committed to believing and investing in our workforce through:
Skill development: helping our employees grow their foundational skills and promoting internally
Finding the dream job at IBM: navigating our company with the potential for many careers by channeling an employee's strength and career aspirations
Diversity of people: Diversity of thought driving collective innovation
With an employee population of 375,000 in over 170 countries, amazingly we connect, collaborate, and care. IBMers drive a corporate culture of shared responsibility. We love grand challenges and everyday improvements for our company and for the world. We care about each other, our clients and the communities we live, work, and play in!
Required Technical and Professional Expertise
At least 2 years of experience working on predictive analytics and data mining projects
At least 2 years of hands-on experience using complex machine learning methods and algorithms such neural net, deep learning and collaborative filtering
At least 2 years of experience working with one or more data mining tools such as R, Python, SAS and SPSS
Hands-on experience writing complex SQL queries and working with relational databases such as Oracle DB2 and SQL Server
Hands-on experience constructing and manipulating JSON and XML documents and working with NoSQL databases such as MangoDB and CouchDB.
Self-directed and demonstrable problem solving skills
Knowledge of modern software development techniques and methodologies
Knowledge and practice of secure software development processes.
Ability to communicate (written and oral) effectively with a broad range of constituents
Ability to handle multiple priorities and deadlines
Preferred Tech and Prof Experience
At least 4 years of experience working on predictive analytics and data mining projects
At least 4 years of hands-on experience and affinity to learn and use Machine Learning, Cognitive, and AI APIs
At least 4 years of experience with both relational and NoSQL technologies
At least 2 years of hands-on experience working with Big Data technologies such as Spark, Cassandra, and/or Hadoop
At least 2 years of experience using data transformation and integration services such as Kafka Connect and/or PySpark
Good understanding of SOA Architecture and hands-on experience working with REST and SOAP APIs
Familiarity with Agile development and continuous delivery best practices
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.