Senior Data Scientist, ML

Job description

**Overview**

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families.

This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Guardian does business.

Guardian’s Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions.

Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience.

Guardian is seeking experienced individual contributor with a strong background in production ready AI/ML solutions.

In this role as Senior Data Scientist, you'll be working in a team of Data Scientists led by Lead Data Scientist to develop advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.

You'll collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups.

Successful candidates have strong technical foundation, excel in coding, detail oriented, and have passion for analytical thinking and problem solving.

**You Will: (Key Responsibilities)**

+ Lead use case/workstream with junior data scientists
+ Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
+ Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
+ Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
+ Identification of source data and data quality checks both in model/solution development and in production
+ Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
+ Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
+ Propose innovative ways to look at problems through using data mining and data visualization
+ Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
+ Present information using data visualization techniques; communicate results and ideas to key decision makers.
+ Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies
+ Consistent accuracy and thoroughness in performing work assignments
+ Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities
+ Contribute to standardization of Data Science tools, processes, and best practices

**You are:**

+ You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches.
+ You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems.
+ You enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian.
+ You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders.

**You have:**

+ PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
+ 3+ years of hands-on ML modeling/development experience
+ Solid understanding of data analysis and statistical modeling.
+ Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks.
+ Demonstrated track records in experimental design and executions
+ Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions
+ Strong programming skills in Python
+ Solid background in algorithms and a range of ML models
+ Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
+ Excellent analytical and problem-solving abilities with superb attention to detail
+ Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success

**Location:**

+ Three days a week at a Guardian office in New York, NY, Bethlehem, PA, Holmdel, NJ, Stamford, CT or Boston MA.

**Salary Range:**

$116,350.00 - $191,155.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position.

The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate.

In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

**Our Promise**

At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.

Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.

**Inspire Well-Being**

As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.

Explore our company benefits at www.guardianlife.com/careers/corporate/benefits .

_Benefits apply to full-time eligible employees.

Interns are not eligible for most Company benefits._

**Equal Employment Opportunity**

Guardian is an equal opportunity employer.

All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

**Accommodations**

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.

Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship.

If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com .

**Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.**

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services.

Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve.

We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being — mind, body, and wallet.

As one of the largest mutual insurance companies, we put our customers first.

Behind every bright future is a GuardianTM.

Learn more about Guardian at guardianlife.com .

Required Skill Profession

Other General