Senior Data Scientist I

MetLife logo

MetLife

View Salaries, Reviews, and more  

Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Azure PyTorch SpaCy Analytics TensorFlow

Job Description

Requirements

Description and Requirements

GG11.1

Role Value Proposition Data Scientist plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate analytical skills, machine learning. It is an individual contributor role. This role mentors data scientists . It is an individual contributor role, expected to solve wide ranging business problems

Experience 8-10+ years of relevant experience

Education Bachelors degree in computer science, information technology or equivalent educational qualification

Responsibilities

  • Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data
  • Perform exploratory data analysis, feature engineering
  • Monitor, evalulate and improve model performance.
  • Ensure model development follows quality, secutiry , compliance, explaiability and responsible use of AI guidelines,
  • Collaborate with multiple partners from Business,Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)
  • Mentor Data Scientists
  • Independently lead design, solutioning & estimations


Technical Skills

  • Python
  • Statistics, hypothesis testing, Feature engineering, Modeling
  • Machine learning frameworks: SCikit-learn, Tensorflow, Pytorch,
  • Natural language processing (NLP): spacy, Transformers, OCR
  • Generative AI: Large language Models, prompt engineering
  • Communication skills, analytical skills, structured problem-solving skills.,
  • Mentorship experience
  • Storytelling skills ,Partner & Stakeholder engagement experience


Good To have

  • Azure ML or cloud AI/ML Services
  • ML Ops
  • Banking Financial Services and Insurance domain knowledge


About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™, 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 our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible . Join us!

Interview Questions of Senior Data Scientist I at MetLife

Interview questions from MetLife that are similar to Senior Data Scientist I
View more interview questions from MetLife →
banner icon
Prepare For Your Interview in 1 Week?
Equip yourself with possible questions that interviewers might ask you, based on your work experience and job description.
Get Started!

Salary Insights of Senior Data Scientist I at MetLife

Currently, there aren't any salaries for this role at MetLife shared by other job seekers.

View more salaries from MetLife →

Achieve your dream job with our top-notch tools!

Resume Checker Illustration

Resume Checker

Our free resume checker analyzes the job description and identifies important keywords and skills missing from your resume in just a minute!

Check Now
Interview Preparation Illustration

AI InterviewPrep

Utilizing advanced AI, our tool generates tailored interview questions based on your industry, role, and experience. Practice and receive feedback on your answers in real time!

Check Now
Resume Builder Illustration

Resume Builder

Let us show you the differences between a bad, good, and great resume, and guide you in building a resume that helps you stand out to employers, ensuring you land your next position faster!

Check Now