Guardian Life
Senior Data Scientist AI/ML- Insurance domain Required
Guardian Life, New York, New York, us, 10261
Senior Data Scientist - Insurance Domain
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. We've recently onboarded a Chief Data & Analytics Officer (CDAO) to guide this transformation and lead the Enterprise Data and Analytic Office (EDAO). This role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian’s ongoing evolution.
Guardian’s EDAO spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data engineers, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian’s revenue growth, risk management and 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:
Lead use case/workstream with junior data scientistsSupport 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/presentationData wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasetsUtilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needsIdentification of source data and data quality checks both in model/solution development and in productionPackaging of model/solution and deployment in cooperation with Data Engineers and MLOpsImplement 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 visualizationWork 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 anomaliesConsistent accuracy and thoroughness in performing work assignmentsAttend industry conferences to stay current on industry trends, challenges, and potential market opportunitiesContribute 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 fieldExperience in Insurance Industry Required3+ years of hands-on ML modeling/development experienceSolid 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 executionsHands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutionsStrong programming skills in PythonSolid background in algorithms and a range of ML modelsExcellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on levelExcellent analytical and problem-solving abilities with superb attention to detailProven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
Location:
Hybrid Remote, 2 days a week at our offices in NYC, Holmdel, NJ, Stamford, CT or Bethlehem. PA. and 3 days a week remote.
#GuardianIT
Salary Range
$114,080.00 - $187,415.00
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.
Health Care
Choice of [high deductible/copay] medical plans* with prescription drugs, including coverage for fertility and transgender inclusive benefitsDental planVision planHealth care accounts – flexible spending, health reimbursement, and health savings accountsCritical illness insurance
Life and Disability Insurance
Company-paid Life and Disability insurance plus voluntary supplemental coverageAccident insurance
Retirement and Financial
401(k) retirement plan with a company match, plus an annual age/service-based Company contribution and an annual profit-sharing contribution, if applicableComplimentary 1:1 financial guidance with a licensed Fidelity representative
Time Off and Remote Work
Flexible work arrangements (part in-person/part remote)Unlimited paid time off for most roles plus time off for volunteering, jury duty, voting, and bereavementPersonal holidays for colleagues to use in recognition of religious, cultural, or civic daysPaid parental leave and paid family and medical leave policies
Emotional Well-being and Work-Life
Emotional well-being, mental health, and work/life resources powered by Spring HealthWellness programs, including fitness program and equipment reimbursementChild, adult, and elder back-up care support through Bright HorizonsAdoption assistanceCollege planningTuition reimbursementStudent loan assistanceCommuter benefits in select metropolitan areas
Justice, Equity, Diversity & Inclusion (J.E.D.I.)
Employee Resource Groups that advocate for inclusion and diversityJ.E.D.I. certification and training programsMatching gifts/volunteering
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.#J-18808-Ljbffr
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. We've recently onboarded a Chief Data & Analytics Officer (CDAO) to guide this transformation and lead the Enterprise Data and Analytic Office (EDAO). This role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian’s ongoing evolution.
Guardian’s EDAO spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data engineers, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian’s revenue growth, risk management and 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:
Lead use case/workstream with junior data scientistsSupport 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/presentationData wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasetsUtilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needsIdentification of source data and data quality checks both in model/solution development and in productionPackaging of model/solution and deployment in cooperation with Data Engineers and MLOpsImplement 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 visualizationWork 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 anomaliesConsistent accuracy and thoroughness in performing work assignmentsAttend industry conferences to stay current on industry trends, challenges, and potential market opportunitiesContribute 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 fieldExperience in Insurance Industry Required3+ years of hands-on ML modeling/development experienceSolid 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 executionsHands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutionsStrong programming skills in PythonSolid background in algorithms and a range of ML modelsExcellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on levelExcellent analytical and problem-solving abilities with superb attention to detailProven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
Location:
Hybrid Remote, 2 days a week at our offices in NYC, Holmdel, NJ, Stamford, CT or Bethlehem. PA. and 3 days a week remote.
#GuardianIT
Salary Range
$114,080.00 - $187,415.00
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.
Health Care
Choice of [high deductible/copay] medical plans* with prescription drugs, including coverage for fertility and transgender inclusive benefitsDental planVision planHealth care accounts – flexible spending, health reimbursement, and health savings accountsCritical illness insurance
Life and Disability Insurance
Company-paid Life and Disability insurance plus voluntary supplemental coverageAccident insurance
Retirement and Financial
401(k) retirement plan with a company match, plus an annual age/service-based Company contribution and an annual profit-sharing contribution, if applicableComplimentary 1:1 financial guidance with a licensed Fidelity representative
Time Off and Remote Work
Flexible work arrangements (part in-person/part remote)Unlimited paid time off for most roles plus time off for volunteering, jury duty, voting, and bereavementPersonal holidays for colleagues to use in recognition of religious, cultural, or civic daysPaid parental leave and paid family and medical leave policies
Emotional Well-being and Work-Life
Emotional well-being, mental health, and work/life resources powered by Spring HealthWellness programs, including fitness program and equipment reimbursementChild, adult, and elder back-up care support through Bright HorizonsAdoption assistanceCollege planningTuition reimbursementStudent loan assistanceCommuter benefits in select metropolitan areas
Justice, Equity, Diversity & Inclusion (J.E.D.I.)
Employee Resource Groups that advocate for inclusion and diversityJ.E.D.I. certification and training programsMatching gifts/volunteering
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.#J-18808-Ljbffr