Creative and Marketing - Data Scientist 2 - Remote

Ann Arbor, MichiganSkills : AWS,Azure, SQL, Business,Python ,Data Scientist,Creative,Marketing,Data Analyst,Data Mining,Data Scripting,Machine LearningDescription :

• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Generate and test hypotheses and analyze and interpret the results of product experiments.
• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
• Career-Level position within field.
• Considered highly skilled and proficient in discipline.
• Conducts complex work important to the organization.

• Building models, predictive models

• Understand the content and context of the data and assess technologies that can be shown to generate useful and meaningful insights from data to help business partners.
• Design and build machine learning pipeline from data collection, model training, to metrics that evaluate the effectiveness and efficiency of the proposed methodology.
• Explore alternative practical techniques if standard textbook approaches do not work for a particular problem
• Learn new machine learning, deep learning, or statistical modeling techniques with profound understanding and can implement the state-of-art algorithm into production
• Collaborate with our business partners to understand their requirements, collect their feedback on results, and incorporate various signals and domain knowledge into the machine learning models.

• Be an individual contributor
• Data mining / scripting
• Passionate about applied machine learning and deep learning
• MS degree in Statistics, Computer Science or Data Science
• Deep understanding of all well-known machine learning algorithms. The candidate should know the assumptions, advantages, limitations of each model and grasp the trade-off when choosing among different models.
• Ability to connect data analysis to real business problems in order to impact business performance
• Hands-on experience in Python, R, SQL
• Excellent communication skills and the ability to tell a complete narrative using data to a variety of audiences

• Some Enovia knowledge
• Experience working with open-source software is a plus
• Experience with Cloud Computing (AWS/Azure)