Guardian Life
Senior Data Scientist (Experimental Design), Data Science Lab
Guardian Life, New York, New York, us, 10261
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 created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.
Guardian is seeking an experienced individual contributor with a strong background in experimentation and causal inferencing. Your responsibilities will include developing 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 senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
You Will:
Develop Enterprise Test and Learn Capabilities
Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques identifying opportunities for upscaling the methodology best practicesDevelop and execute advanced data-driven experiments to optimize various aspects of Guardian’s businessCreation of test hypothesis, experiment design including KPI selection, and collection and analysis of dataDevelop statistical and AI/ML models to analyze experimental data and derive actionable insightsApplying statistical methods to assess the reliability and significance of experimental resultsConduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectivesOrganizing and managing data to extract insights that can be further incorporated into solution/model
Support and help build the Data Science Lab (DSL)
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/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 MLOps
Develop Deep Learning/Large Language Model/Generative AI capabilities
Mapping and mining unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logsAI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing
Contribute to the overall Data Science organization
Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groupsContribute 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 field3+ years of hands-on ML modeling/development experienceStrong theoretical foundations in probability & statistics, and causal inferencing techniquesProven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying testsStrong programming skills in Python including PyTorch and/or TensorflowSolid background in algorithms and a range of ML modelsExcellent communication skills and ability to work and collaborate 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 successLocation:
Hybrid Remote - 2 days a week at our offices in New York, NY, Bethlehem, PA, Holmdel, NJ, or Stamford, CT. and 3 days remote.Salary Range:
$114,080.00 - $187,415.00The 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.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’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 created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions.
Guardian is seeking an experienced individual contributor with a strong background in experimentation and causal inferencing. Your responsibilities will include developing 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 senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction.
You Will:
Develop Enterprise Test and Learn Capabilities
Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques identifying opportunities for upscaling the methodology best practicesDevelop and execute advanced data-driven experiments to optimize various aspects of Guardian’s businessCreation of test hypothesis, experiment design including KPI selection, and collection and analysis of dataDevelop statistical and AI/ML models to analyze experimental data and derive actionable insightsApplying statistical methods to assess the reliability and significance of experimental resultsConduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectivesOrganizing and managing data to extract insights that can be further incorporated into solution/model
Support and help build the Data Science Lab (DSL)
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/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 MLOps
Develop Deep Learning/Large Language Model/Generative AI capabilities
Mapping and mining unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logsAI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing
Contribute to the overall Data Science organization
Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groupsContribute 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 field3+ years of hands-on ML modeling/development experienceStrong theoretical foundations in probability & statistics, and causal inferencing techniquesProven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying testsStrong programming skills in Python including PyTorch and/or TensorflowSolid background in algorithms and a range of ML modelsExcellent communication skills and ability to work and collaborate 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 successLocation:
Hybrid Remote - 2 days a week at our offices in New York, NY, Bethlehem, PA, Holmdel, NJ, or Stamford, CT. and 3 days remote.Salary Range:
$114,080.00 - $187,415.00The 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.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