Data Scientist - IBM Client Engineering

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Your Role and Responsibilities As a Data Scientist working at the IBM Client Engineering, you will be the Subject Matter Expert on ML, Data and AI Statistical models and how they apply to business problems. Led by a solution architect, you will advise on and help implement models in Machine Learning, Optimization, Neural Networks, and Artificial Intelligence such as Natural Language, and other quantitative approaches. You will act as a key contributor partnering with clients to understand business problems and propose solutions. You will deliver meaningful insights and predicts emerging trends to inform business solutions that optimize client value. You will contribute to co-creation of rapid proofs of concept and... minimally viable solutions that demonstrate business value, leading to client investment in strategic solutions. To be successful in this role you: are creative, out of the box thinker, you dare to try new ideas and innovation is always on your mind. are familiar with Data Engineering techniques to gather, prepare, cleanse, and transform client data for analysis and AI automation, including automating data pipelines Demonstrate strong business acumen and ability to understand business problems, formulate hypotheses and test conclusions to influence solution design Leverage a variety of structured and unstructured data sources, analytics, AI tools, and programming languages to derive meaningful data insights (e.g., Python, R, Spark, TensorFlow, Jupyter, etc.) Possess relevant industry and/or business domain knowledge such as Financial Services/Banking, Retail/Consumer Product, Telco, Public/HealthCare which you will apply to shape solutions Expand partnerships at all levels of the client organization to identify new opportunities for data science applications IBMReferred_NorthAmerica Required Technical and Professional Expertise At least 3 years as a Data Scientist with a deep understanding of Statistics, Machine Learning, NLP/NLU At least 3 years of experience with identifying data sources, transforming data, and the use of Frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models At least 2 -4 years in a client facing role, including facilitating client discussions and problem framing Creative mind and out of the box thinking and you write code with Python, R, Scala, Java, C+ & G0 Preferred Technical and Professional Expertise Masters or PhD in a highly quantitative field (Data Science, Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) Experience Consulting with client and taking on and solving complex business problems related to data, Ability to thrive in a startup environment and deliver on the end goals Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Experience and Ability to work across multi clouds (IBM, AWS, GCP and Azure) Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualificationsShow full descriptionCollapse