Senior Data Scientist applying machine learning in HVACR technology for optimization and efficiency. Collaborating with global teams to develop innovative solutions in a sustainability-focused company.
Responsibilities
Apply machine learning, econometrics, and operations research to optimize HVACR system performance and energy consumption
Discover and deliver on opportunities to improve processes in our enterprise through data analytics and automation
Develop customer-focused solutions that address global resource and efficiency challenges
Work on an array of problem types, including optimization, forecasting, statistical analysis, control theory, and LLM’s
Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms
Develop a deep understanding of the HVACR and cold chain industries to ensure technical solutions align with business goals
Adapt advanced techniques from peer-reviewed journals and conferences into practical, scalable solutions for real-world engineering challenges
Requirements
Bachelor’s degree in Computer Science, Statistics, Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering, Mathematics, or other relevant degree
3+ years of relevant experience
Experience in data wrangling and modeling in Python or similar language
Proficient in verifying raw data integrity through automation and exploratory data analysis (EDA) techniques
Proficient in robust statistics, hypothesis testing, experimental design
Ability to work virtually with a global team
Ability to translate ambiguous business problems into actionable analytics and data science tasks
Benefits
medical insurance plans
dental and vision coverage
401(k)
flexible time off plans including paid parental leave, vacation and holiday leave
Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
Data Science and AI student engaged in data processing and management. Open to candidates in Germany, starting in 2026, with supportive environment for development.
Data Scientist II providing actionable insights through advanced analytics and consulting with stakeholders at Truist. Conducting statistical analyses and developing predictive models using structured and unstructured data.
Senior Responsible AI Data Scientist focusing on ethical AI within Humana to drive responsible AI initiatives across the organization. Partnering with teams to implement innovative and compliant AI solutions in healthcare.
Director of Data Science leading the Identity fraud product development at TransUnion. Collaborating with stakeholders to build market - leading identity data products and analytic solutions.
Manager II, Data Science leading HR Analytics and developing predictive models for decision - making. Collaborating with cross - functional teams to implement data - driven solutions across the organization.
Data Manager for B2B - Mailings at ZEIT Advise, supporting the automation and segmentation of marketing processes in Hamburg. Focusing on CRM systems and email marketing strategies.
Lead Data Scientist at AT&T, building predictive models and analyzing customer lifecycle marketing strategies. Collaborating with cross - functional teams to enhance marketing and business outcomes.
Lead Data Scientist managing AI initiatives for a global IT consulting firm. Overseeing AI strategy, governance, and multidisciplinary team leadership in a hybrid work environment.