Description and Requirements
GOSC- GG10- Data Scientist (IC)
Position Title:
Senior Data Scientist (IC)
Function, Responsibility Level:
Reports to (Responsibility Level):
GG13 Director Data science or
GG12 Lead Data Scientist
Supervises:
Location:
Hyderabad/Noida
Global Grade: 10
Cost Center (85 series):
####
Complexity:
PID/s Load Mapping:
Position Summary
Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multi-year strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community.
Role Value Proposition:
We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife's enterprise functions and lines of businesses across markets.
This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
Job Responsibilities
Knowledge, Skills, and Abilities
Education
Bachelor's/master's degree in an information technology/computer science or relevant domain
Experience
Technology Skills
• 3-5 years of hands-on experience in Analytics, data science or similar function
- Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark,
, R & have experience in machine learning libraries & frameworks such as
TensorFlow, PyTorch, or Keras.
- Strong hands-on expertise in traditional as well as modern statistical & ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests & other ensemble methods.
- Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc.
• Experience in technologies like Azure, AWS, and advanced analytics concepts like
Simulation, Deep Learning etc. are considered as a plus.
- Ability to meet deadlines for product deliverables in a timely, proactive, and
entrepreneurial manner.
General Management skills:
• Analytical and problem-solving skills to ideate.
- Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management.
- Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.
Working Relationships
Internal Contacts
(And purpose of relationship):
MetLife GTO Engineering, Digital Office and Global Data and analytics
Business
GOSC Leadership
External Contacts
(And purpose of relationship) - If Applicable
Vendors
Consultants
About MetLife
Recognized on Fortune magazine's list of the 2024 "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we're inspired to transform the next century in financial services.
At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
