Entry Level – Associate Data Scientist – Commercial

Key Skills

Aartificial intelligence, Agile methodologies, Algorithms, AWS, Azure, Bash scripting, Big Data Technology, Data Modeling, Data science techniques, Data structuring, Database, Design, Effective communication skills, Infrastructure as code, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, R Programming, SAS, SPSS Statistics, TensorFlow, Writing

Job Description

As a Associate 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

You uncover the stories hidden in data and find patterns in the numbers. As an Associate Data Scientist, you’ll put this skill to work to solve business problems by preparing, analyzing, and understanding data to deliver insight, predict emerging trends, and provide recommendations for better outcomes. You’ll use a variety of data (structured, unstructured, IoT streaming), analytics, AI tools, and programming languages often using a cloud infrastructure to handle the volume and veracity of data streams.

Armed with data, modeling expertise, and analytic results, as an Associate Data Scientist, you’ll formulate conclusions and recommendations to stakeholders in an organization’s leadership structure, leveraging strong consulting, communication, visualization, and storytelling skills.

Work you could do as an Associate Data Scientist:

• Implement and validate predictive models as well as create and maintain statistical models with a focus on big data
• You’ll incorporate a variety of statistical and machine learning techniques
• Communicate with internal and external clients to understand and define business needs, providing analytical solutions.
• Use leading edge tools such as R Library, python, tensor-flow combined with IBM tools and our AI application suites
• Given a conflict that jeopardizes the integrity of the solution, mediate differing stakeholder opinions to arrive at equitable resolutions that ensure successful and stable outcomes
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
• Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results
• Ask business and industry questions to identify appropriate modeling techniques
• Communicate results to technical and non-technical audiences

Required Technical and Professional Expertise

• You’re great at solving problems by looking at things differently, debugging, troubleshooting, designing & implementing solutions to complex technical issues
• Familiarity constructing usable data sets from multiple structured and unstructured data sources
• You thrive on teamwork using excellent verbal and written communication skills
• Strong fundamentals in Mathematics and Computer Science (algorithms)
• You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python
• You’re proficient in at least one of the statistical programming languages, such as R, Python, Scala or SAS, SPSS, MATLAB
• Basic understanding or experience with predictive/prescriptive modeling skills
• You have an interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies
• You have a basic understanding of Cloud (AWS, Azure, etc.)