At Trane TechnologiesTM (https://www.tranetechnologies.com/) and through our businesses including Trane® (https://www.trane.com/) and Thermo King® (https://www.thermoking.com/) , we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go. What’s in it for you: Be a part of our mission As a world leader in creating comfortable, sustainable, and efficient environments, it’s our responsibility to put the planet first. For us at Trane Technologies, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what’s possible for a sustainable world. Thermo King is hiring a Lead Data Scientist to join a world-class team applying innovative analytic and data product approaches to complex problems These analytics are leveraged by internal engineering, internal business functions, and our end customers to provide insights into product improvement and operational efficiency opportunities. This position is focused on advanced analytics and data products that combining statistical knowledge and programming capabilities to develop, test and maintain predictive machine learning models. Thrive at work and at home: Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE Family building benefits include fertility coverage and adoption/surrogacy assistance. 401K match up to 6%, plus an additional 2% core contribution  up to 8% company contribution. Paid time off, including in support of volunteer and parental leave needs. Educational and training opportunities through company programs along with tuition assistance and student debt support . Learn more about our benefits here (https://careers.tranetechnologies.com/global/en/benefits)  Where is the work: This position has been designated as a Hybrid work schedule with work performed onsite 3 days each week in Minneapolis, MN . What will you do: The role is responsible for leading and developing end to end analysis and data products, ranging from descriptive analysis to machine learning predictive algorithms. Work with product and business strategy teams to understand data product and visualization requirements. Communicate results to stakeholders, bridging analytics knowledge and engineering domain/business knowledge. Lead, develop, and document data-driven models and analytics for connected refrigeration and mobile HVAC systems. Analysis may include specific components and subsystems (e.g., compressors, heat exchangers, pumps, coils, fansphysical world analytics). Determine appropriate methods, prove viability of selected method, and educate internal teams as to the analytical foundation. Develop and maintain well documented analytics that are reproducible by others Combine several sources of large-scale product data with both internal and external data sources to solve engineering and business analytic needs. Predictive failure analytics for units. Test and evaluate the quality of the algorithms using statistical methods. Develop and document data workflows to enable data extraction and merging of disparate data sets. Manage projects from start to finish, with implementation into a production environment as appropriate. Collaborate with engineers and other data scientists to solve problems and develop new products and services. Stay up to date in the field of machine learning. Apply new technologies in development of products. Responsibility for developing deliverables that are production capable (scalable, automation). What will you bring: BS or MS in engineering, physics, computer science, data science, or statistics, with industrial internet of things data experience a plus and 4 years of experience applying data-driven modeling to solve technical problems. Looking for individuals with deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues. Familiarity with programming in R, Python, and/or SQL, or the ability to become proficient within a short period of time. Able to adapt to new technologies, as necessary. Familiarity with tools such as Alteryx, Tableau, etc. is a plus. Basic understanding of engineering data and physics-based models and simulations. Knowledge of machine learning modeling techniques, and experience visualizing model outputs for engineers, customers, and stakeholders. Experience in statistical inference, unsupervised machine learning, supervised machine learning, reliability/survivability models, and/or predictive maintenance. Good understanding of large-scale data mining and machine learning techniques for clustering, classification, regression, and anomaly detection. Knowledge of database systems including relational, column store and data marts; including understanding and documenting query development. Experience with Data engineering and Docker containers for automation a plus Knowledge or ability to become proficient quickly with version management tools such as Git or similar. Strong written & verbal English communication skills to interface effectively with team members, customers, and stakeholders (senior leaders) in North America and other parts of the world. Compensation: Annual Base Pay Range: $150,000 – 190,000 Total compensation for this role will include a commission/incentive plan. Disclaimer: This base pay range is based on US national averages. Actual base pay could be a result of seniority, merit, geographic location where the work is performed. Equal Employment Opportunity: We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status. LI-Hybrid

Apply for Job Job ID349265 LocationTwin Cities Job FamilyResearch-Support Full/Part TimeFull-Time Regular/TemporaryRegular Job Code8352P2 Employee ClassCivil Service Add to Favorite Jobs Email this Job About the Job Job Duties/Responsibilities:  Work in conjunction with faculty mentor to determine training agenda. (10%)  Participate in the design, implementation, and evaluation of a research project. (50%)  Prepare and present data to study investigators. (10%)  Author, co-author, and otherwise collaborate on reports, conference papers and journal articles. (15%)  Prepare postdoctoral fellowship and grant applications. (10%)  Supervise research assistants and laboratory personnel. (5%) Job Overview: Develops computer code for running and analyzing closed-loop neural recording and stimulation experiments. Work with scientists, physicians and engineers to transform complex requirements into software Assists with administering behavioral and stimulation experiments. Analyzes, curates, and debugs codes written by other programmers and scientists Analyzes and integrates existing commercial and open-source software solutions with tailored in-house software solutions Programs databases according to design specifications of data models using state-of-the-art languages to access databases Integrates scientific software packages with database solutions Designs and develops user interfaces to scientific software packages Develops web- and app-interfaces to scientific software packages Develop code to control and interact with hardware for running experiments  Implement behavior task logic in code using existing or new codebases Write, test and troubleshoot scripts for running behavior experiments Write unit tests and validation functions to ensure that software is working according to specifications Write well documented code, refactor and document existing code  Manage scientific analysis codebase, address GitHub issues, maintain documentation  Build visualization tools to evaluate data quality and scientific results Other Duties: Performs other duties as assigned. Qualifications All required qualifications must be documented on application materials Required Qualifications: B.A/B.S. with 2 years of experience in electrical engineering, computer science, neuroscience with a strong quantitative focus, or related field or a combination of education and experience to equal 6 years. Preferred Qualifications: Experience with clinical data analysis Experience with high dimensional data analysis Experience with neurophysiological data (MEG/EEG, fMRI, single neurons) About the Department More information about the team: Alexander Herman, MD PhD and David Darrow, MD are the co-PIs of this unique interdisciplinary lab focused on neurophysiological and neuromodulation studies of decision making, with applications to addiction, chronic pain and mood disorders. Benefits Working at the University At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work. The University also offers a comprehensive benefits package that includes: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Scholarship Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance Employee wellbeing program Excellent retirement plans with employer contribution Public Service Loan Forgiveness (PSLF) opportunity Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost Please visit the Office of Human Resources website for more information regarding benefits. Diversity Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. About the U of M The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations. The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.

The Hennepin Healthcare Research Institute (HHRI) is seeking an experienced Data Scientist to join our Department of Surgery's research team. Experience in epidemiology, public health, and/or statistics in clinical research is preferred.

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you. CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other. Our Perks: Flexible PTO (designed to offer flexible time away for you) Up to 12 weeks paid parental leave Paid Volunteer Time Off Mental health coverage Quarterly Wellness stipend Fertility benefits Complete list of benefits here CLA is growing and seeking to hire an experienced Senior Data Scientist to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment. In this position you should have the following; excellent interpersonal skills with the ability to communicate at all levels. Strong problem solving and creative skills and the ability to exercise sound judgment. Most important, demonstrate a high level of integrity and dependability with a strong sense of urgency and results-orientation. How you'll create opportunities in this Senior Data Scientist role:  Service Specialization: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities. Gain exposure to a variety of client situations to develop business skills. Retain knowledge gained and performance feedback provided to transfer into future work. Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions.  Data Analysis: Participate and take ownership in the collection, analysis, and automated collection of data using a variety of data tools. Together with the Data Analytics team, support the building and implementing of models, algorithms, and simulations supporting solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and data gathering techniques.  Data Development: Working under the guidance of a variety of Data Analytics team members, gain exposure to developing custom data models and algorithms to apply to data sets. Execute predictive and inferential analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and analyze solution performance and accuracy, and communicate findings to team members and end users.  Collaboration: Work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development and client service that may include: serving as primary contact with clients or business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new business development.  Collaboration: Work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development that may include: serving as primary contact with business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new program/project development. What you will need: 2 years of relevant experience Experience in data analytics, statics, data science, financial consulting, computer science or related field preferred. Experience with API's, web scraping, SQL/no-SQL databases, and cloud-based data solutions preferred. Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree. LI-DJ1 Equal Opportunity Employer /AA Employer/M norities/Women/Protected Veterans/Individuals with Disabilities. Click here to learn about your hiring rights. Wellness at CLA To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more. To view a complete list of benefits click here. CLA is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability status, protected veteran status, national origin, or any other characteristic protected by law. EOE/AA Employer/Vets/Disability

Data Scientist Jobs in Lauderdale, MN

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Data Scientist Jobs in Lauderdale, MN

Lead Data ScientistDecember 10, 2024

Research Data ScientistDecember 10, 2024

Data ScientistDecember 10, 2024

Senior Data ScientistDecember 7, 2024

Lead Data ScientistDecember 6, 2024