Senior Data Scientist

Copeland • Saint Louis, MO

164d • Hybrid

About The Position

As a Senior Data Scientist, you will implement solutions to solve sophisticated engineering problems using machine learning, econometrics and operations research techniques. You will build customer-focused analytics with data scientist peers and discover opportunities to improve systems, processes and enterprises through data analytics and automation. Additionally, you will generate reports for decision-making using data visualization tools and establish collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms. Developing an in-depth business and domain understanding is crucial, as well as translating analytics techniques published in peer-review journals and conference proceedings into practical solutions for challenges at hand.

Requirements

• Strong interdisciplinary background, combining data science expertise with a solid grounding in traditional engineering fields such as Chemical, Mechanical, Aerospace, or related disciplines
• Bachelor's degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering, Mathematics, Data Science, Statistics or other relevant degree
• 3+ years of relevant experience
• Experience in data wrangling and modeling in Python or similar language and collaborate using Git
• Proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques
• Proficient in robust statistics, hypothesis testing, experimental design
• Ability to work virtually with a global team
• Ability to translate ambiguous business problem into actionable analytics and data science tasks

Nice To Haves

• 1+ years of practical experience in predictive maintenance
• Advanced Degree in Analytics / Computer Science / Artificial Intelligence / Mathematics, Statistics, Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering
• Knowledge of HVAC and refrigeration related thermodynamics, system operation and system control logic
• Proven experience in applying signal process (time and frequency domain) for feature engineering
• Experience in applying optimal control theory and reinforcement learning (RL)
• Proven experience as the technical lead for project(s) or research or acted as a change agent for transformation initiatives
• Experience with Docker, Azure DevOps, Agile sprints
• Ability and interest in translating highly sophisticated and abstract concepts to internal and external team members with minimum analytics knowledge

Responsibilities

• Implement solutions to solve sophisticated engineering problems using machine learning, econometrics and operations research techniques
• Build customer-focused analytics with data scientist peers
• Discover opportunities to improve systems, processes and enterprises through data analytics and automation
• Generate reports for decision-making using data visualization tools
• Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms
• Develop in-depth business and domain understanding
• Translate analytics techniques published in peer-review journals and conference proceedings into practical solutions for challenges at hand

Benefits

• Flexible Work Schedule - Remote Work Option and Core Hours
• Medical insurance plans
• Dental and vision coverage
• 401(k)
• Tuition reimbursement
• Flexible time off plans, including paid parental leave, vacation and holiday leave

What This Job Offers

• Career Level: Senior
• Industry: Machinery Manufacturing
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees