Data Science Lead

SHR Talent is currently hiring a sharp, self-motivated, and experienced

• Manage data science projects through their lifecycle, ensuring joint success for the company and the client
• Lead ML and predictive modeling projects, including the development and implementation of experimental designs, and the development of complex machine learning models
• Build long-term relationships with client teams and be the trusted advisor for data science topics for both client and company teams
• Apply rigorous analytic methods, purposeful insights to solve challenging technical problems for clients
• Represent the company platform to customers through technical presentations, product demonstrations and proofs-of-concept
• Develop tools for analysis and process efficiency, advance analytical methods and share knowledge in partnership with the company’s Business Solution Architects
• Work collaboratively with key stakeholders, including client teams and executives, internal sales teams, Business Solution Architects, R&D teams
• Provide leadership and coaching to data science and R&D teams to establish data science best practices within the company
• Relay the customers’ feedback and point to view to the company’s product team, informing the future direction of the application and platform
• Present the company at industry conferences and create thought leadership articles and content for market consumption

• At least 10-12 years of real-world experience implementing data science projects
• Hands-on experience building and operationalizing machine learning models, including data manipulation, experiment design, developing analysis plans, and generating insights
• Strong project management and client interaction skills
• Strong communication and presentation skills, including translating complex concepts in clear, concise and meaningful ways that non-technical people can easily understand
• Strong interpersonal, analytical and problem-solving skills to lead teams of data scientists and software engineers to successful project execution
• Strong understanding of scalable software and big data architecture as well as data intensive computing frameworks
• Resourceful, proactive, innovative, and a clear and creative thinker, interested in using data and analytics to support decision making across a variety of domains
• Solid experience designing and developing in Python or Scala and SQL
• Hands-on experience with Neural Networks and ML Packages (sklearn/sqboost/Tensorflow/Keras, H20) etc.
• Experience with NLP/NLG techniques such as BoW, Word2vec, sentence parsing.
• Familiarity with probabilistic/stochastic modeling for real-time decision making using online estimation techniques.
• Thorough understanding of underlying mathematical concepts
• Experience with deep learning techniques such as feed forward networks, convolution neural networks and LSTMs.
• Keen eye for detail and excellent communication skills.

• PhD / MSc in computer science, Information Technology (IT), or related field.

• This role is open to fully remote candidates who can travel to the Michigan office every so often. In-office requirements are flexible, but a presence in the Michigan office is required to some extent (or as often as the candidate prefers).