Data Scientist - Launchpad

About The Launchpad ProgramThe tech industry is constantly evolving, creating new opportunities and challenges for businesses globally. If you’re looking to break into Tech, we’ve developed a program where you will have the opportunity to engage with tech leaders, develop your skills, and learn more about our culture while advancing your career. In this program, you will gain hands-on experience in your targeted discipline and lay the groundwork for the future of tech. If you want to make a difference in your work and community, you’ll find a home here at Lowe’s.This program offers experience to candidates who want to break into tech by following our program timeline below:Orientation 1 Week Learn Lowe’s policies, benefits, and business strategy Hands-on integration with Lowe’s culture Learn tech processes, systems, and operationsBootcamp 8 Weeks Fast-paced learning in targeted discipline Dedicated coaching with a structured curriculum Skills assessments Individual & Group ProjectsRotation 1 & 2 12 Months Rotations in different areas of Tech Hands-on experience & meaningful work Professional developmentFinal PlacementOn completion of Launchpad, you are matched with a Tech team that best suits your interests to continue advancing your career and driving big changes with Lowe’s.You’ll gain valuable skills and a place to connect with tech leaders, all while finding full-time job placement in this expanding industry.Job Description Mines and extracts data and applies statistics, machine learning, and deep learning algorithms necessary to derive insights and to develop solutions providing a competitive advantage to the business. Conducts deep statistical analysis, including predictive and prescriptive modeling, to provide a competitive advantage to the business. Works with more senior level scientists on the team to translate requirements into an analytical approach; asks the right questions to understand the problem. Contributes to or builds the solution to solve a business problem; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelines. Gathers and assimilates data according to the project plan; works with the team to discuss analysis and findings. Prepares final recommendations, ensuring solutions are scalable and implementable in the business. Executes plan for measuring impact based on discussions with partners and senior team members. Executes projects with full adherence to enterprise product and project management practices by participating in formal and informal training. Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies and applies it to projects. Required Qualifications: Bachelor's degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field 1 year of SQL and programming experience 2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise settingPreferred Qualifications: Master's degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field 1 year of experience using multiple data systems and sources 1 year of experience working with cross-functional partnersLowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.Pay Range: $75,300.00 - $143,100.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.