Will be working in GCP- required, other cloud environments are a bonus
Be able to take the data, cleanse it, and build models, create ML algorithms, model training, model optimization, etc.
Experience with GCP Core IoT, IBM Watson IoT, AWS IoT Core or Azure IoT Hub or similar
Someone who has seen a product from inception through production would be a home run
Needs IoT experience
Python, R, or SQL
Key Responsibilities:
Collaborate with innovation team members and business stakeholders design and implement a data analytics solution
Design and develop data models and algorithms that can be used to generate insights and drive decision-making
Build predictive models and machine learning algorithms to support business needs
Identify and collect relevant data from various sources and prepare data for analysis
Develop and implement data analytics tools and techniques to provide actionable insights to business stakeholders
Communicate effectively with innovation team members, business stakeholders, and project managers to ensure timely delivery of projects
Requirements:
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
Minimum of 2-3 years of experience as a Data Scientist
Strong analytical and problem-solving skills
Proficiency in statistical analysis and modeling techniques, such as regression analysis, decision trees, clustering, IoT, broad DNN, and machine learning algorithms
Experience with anomaly detection, pattern recognition, and noisy data sets
Experience with GCP Core IoT, IBM Watson IoT, AWS IoT Core or Azure IoT Hub or similar
Knowledge of programming languages such as Python, R, or SQL
Ability to work independently and as part of a team
Relevant certifications such as Certified Data Scientist, Certified Analytics Professional (CAP), or SAS Certified Data Scientist are a plus
Experience working in an innovation team or with emerging technologies is a plus