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data scientist ii
2 weeks ago
DATA SCIENTIST II
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable, and more connected world.
Job OverviewEngage 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.
Data Analysis & Model Development
Craft machine learning models and products, ensuring their technical robustness and relevance to business users.
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 (AWS Sagemaker preferred), techniques, and frameworks for data science projects, particularly those related to demand forecasting.
Guarantee the precision and reliability of data science outputs through meticulous validation, testing, and performance tracking.
What Your Background Should Look Like
At least 3-5 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 efficiently.
Competencies
Values:
Integrity, Accountability, Inclusion, Innovation, Teamwork
Location
City:
Bangalore
State:
KA
Country/Region:
IN
Travel
Less than 10 PERCENT
Requisition ID
117821
Alternative Locations
Function
Information Technology
Job Segment
QA, Quality Assurance, Data Mining, Database, SQL, Technology, Quality
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