TE Connectivity - Data Scientist - Python/R/SQL

COMPANY: TE Connectivity Ltd. is a $16.3 billion global technology and manufacturing leader creating a safer, sustainable, productive, and connected future. For more than 75 years, our connectivity and sensor solutions, proven in the harshest environments, have enabled advancements in transportation, industrial applications, medical technology, energy, data communications, and the home. With 80,000 employees, including more than 7,500 engineers, working alongside customers in approximately 150 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at a Senior Data Scientist at TE Connectivity, you will leverage your expertise in quantitative methods, including machine learning, to solve intricate problems and empower stakeholders with data-driven insights. Your role will involve processing vast amounts of data, extracting meaningful patterns, and developing solutions to address pressing business challenges. You will be pivotal in driving TE Connectivity's mission to tackle the world's most daunting problems. RESPONSIBILITIES : - Data Analysis & Model Development: Craft machine learning models and products, ensuring their technical robustness and relevance to business users. - Collaboration: Partner with cross-functional teams to discern business requirements and pinpoint opportunities for advanced analytics, especially in demand forecasting. - Solution Deployment: Design, develop, and roll out end-to-end machine learning solutions to address multifaceted business issues. - Tool & Framework Selection: Choose the right tools and frameworks for data science projects, particularly those related to demand forecasting. - Quality Assurance: Guarantee the precision and reliability of data science outputs through meticulous validation, testing, and performance tracking. - Communication: Articulate intricate data science concepts and findings to a varied audience, ensuring clarity for both technical and non-technical stakeholders. - Continuous Learning: Stay updated with the latest in data science, machine learning, and AI. Proactively seek opportunities to incorporate novel techniques in demand forecasting. - Team Culture: Promote a culture of continuous learning, innovation, and collaboration within the team and the broader organization. Roles: - Engage with internal stakeholders to ensure analytic solutions align with their needs and deliver tangible results. - Translate real-world business challenges into analytical frameworks. - Utilize a diverse skill set, including data mining, machine learning, statistics, visualization, and more. - Collaborate with teams to gather, refine, and harmonize data, ensuring its readiness for analysis. - Simplify complex results, avoiding excessive technical jargon, and employ tools and cloud services like Python, R, SQL, and AWS. Competencies & Experience Required/Desired: - Values: Integrity, Accountability, Teamwork, Innovation - Excellent English language skills, both verbal and written. - Organized and result oriented. - Self-motivated and ability to work independently with minimal guidance. - A master's or Ph.D. in a relevant field such as Computer Science, Data Science, Engineering, Physics, Statistics or Mathematics. - AWS Cloud Practitioners Certificate or the ability to obtain it during onboarding. - At least 5 years of experience in data science, machine learning, or related fields. - Proficiency in programming (Python or R) and familiarity with essential data analysis tools and libraries. - Demonstrated expertise in machine learning and AI techniques. - Exceptional problem-solving abilities and a knack for innovative solutions. - Stellar communication skills, with a history of conveying complex ideas effectively. - A proven record of delivering data science projects FIT: - Demonstrate Customer Focus - Communicate Effectively - Collaborate for Achievement - Act with Entrepreneurial Drive - Results driven. (ref:hirist.tech)

Location: Bangalore, IN

Posted Date: 4/24/2024