IBM Data Scientist in St Louis, Missouri

Job Description

This position offers an opportunity to work for an organization responsible for engineering and operating an Analytics Platform for The Weather Company’s Consumer Product, Business to Business, and Watson Advertising Divisions. We have a fast-paced transformation to expand our Analytical Offerings to include more B2C and B2B big-data analytics products. Our Analytics Cloud Platform encompasses highly scalable 24x7 Data Ingestion and Big-Data Analytics that includes Predictive Models. In this Data Scientist role, you will provide scientific leadership and execution to support our business products and services! The Ideal Candidate has strong knowledge, deep experience, or/and superb potential in the following aspects.Required Technical and Professional Expertise

● Problem-Solving Intellect, particularly challenging real-world problems

● Durable Passion to apply data analytics to solve diverse problems

● Hypothesis-driven Research (make and test hypothesis; implement experiments)

● Statistical Methods (e.g., correlations and regressions, anova, resampling, effect size)

● Machine-learning Techniques (e.g., clustering, decision trees, nearest-neighbors, support vector classifiers, ensemble methods, collaborative filtering)

● Algorithm Development in main languages to our business (i.e., Python or/and Scala)

● Communication and Interpersonal SkillsPreferred Technical and Professional Expertise

● Significant Concentration in a quantitative field

● Demonstrated Skill in AWS, NoSQL Systems, or/and Spark especially is a big plus

Required Technical and Professional Expertise

Some Proficiency with Unix/Linux environments

● Algorithm Development in additional languages (e.g., R, Java, Javascript, Bash Scripts)Frequent Responsibilities and Professional Expertise

● Work with business partners to develop strategies and value from our datasets

● Implement scalable cutting-edge solutions with machine learning and models

● Develop POCs with quick turnaround to suffice the needs of business stakeholders

● Leverage data management processes, available infrastructures, and API tools to develop codebases and solutions

● Collaborate with engineers, stakeholders, and other team members to establish an analytics platform or/and standard procedures for use across the business

● Communicate work to and Receive feedback by technical and non-technical audiences

Preferred Tech and Prof Experience


EO Statement

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.