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职位MetLife

Senior Data Scientist I

MetLife

Senior Data Scientist I

MetLife

·

On-site

·

Full-time

·

1w ago

Country

India

Working Schedule

Full-Time

Work Arrangement

Hybrid

Relocation Assistance Available

No

Posted Date

08-Apr-2026

Job ID

16817

Description and Requirements

GG11.1Role 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 Experience8-10+ 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 Met Life

Recognized
on Fortune magazine's list of the "World's Most Admired Companies"
and Fortune World’s 25 Best Workplaces™, Met Life, 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 Met Life, it’s #All Together Possible. Join us!

Apply

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关于MetLife

MetLife

MetLife

Public

MetLife, Inc. is the holding corporation for the Metropolitan Life Insurance Company (MLIC), better known as MetLife, and its affiliates. MetLife is among the largest global providers of insurance, annuities, and employee benefit programs, with around 90 million customers in over 60 countries.

10,001+

员工数

New York

总部位置

$52B

企业估值

评价

3.8

10条评价

工作生活平衡

4.0

薪酬

2.5

企业文化

4.2

职业发展

2.3

管理层

3.0

65%

推荐给朋友

优点

Good work-life balance and flexible schedules

Supportive and collaborative team environment

Good benefits package

缺点

Below market compensation and salary

Limited career advancement and growth opportunities

High workload and overwhelming demands at times

薪资范围

895个数据点

Junior/L3

L3

Mid/L4

Senior/L5

Junior/L3 · Data Scientist

0份报告

$100,332

年薪总额

基本工资

-

股票

-

奖金

-

$85,282

$115,382

面试经验

8次面试

难度

2.5

/ 5

时长

14-28周

录用率

13%

体验

正面 13%

中性 62%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Phone/Technical Interview

4

Video Interview

5

Final Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

Coding/Algorithm