I did my part and supported the Regular Toilet
Data Scientist
I did my part and supported the Regular Toilet, Boston, Massachusetts, us, 02298
At John Hancock, data scientists collaborate with engineers, IT, and experts to build analytical models and data architectures for solving business problems within a modern MLOps framework!
The Data Scientist is accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team. The Data Scientist is responsible for crafting, building, and deploying business interpretable and performant analytics solutions and applications. Collaborates with data and ML engineers to build scalable self-service tools for the analytics team. The Data Scientist leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics practices and methods. The Data Scientist helps others to improve their knowledge and understanding of the use of data and technology.
Position Responsibilities:
Bridging between data assets, technology, and business expertise
Collaborate shoulder-to-shoulder with business experts.
Understand the business, the associated processes, systems & data environment.
Research, explore, and experiment with data driven business ideas.
Research & leverage published material to gain a comprehensive understanding of data science practices and methods.
Crafting and building business interpretable and performant analytics solutions Develop and implement data analytics enabled solutions to improve and re-imagine business process, to generate insights, and support strategy development.
Work on problems of diverse scope and complexity requiring the in-depth analysis of data.
Quickly develop enough business insight to connect data sources across multiple diverse and complex systems.
Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and making appropriate recommendations to business partners.
Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis.
Deploy rich data and analytics content in business applications.
Understand how the analysis of data impacts a broader business strategy, including the core drivers of business value.
Prepare cases on the benefits of the analytics work.
Elevate data and analytics skills in the business Help business partners better understand the use of data, drawing on a detailed understanding of data analytics and predictive modeling.
Identify and guide natural data champions to improve the profitable use of data.
Learn salient business concepts from data champions and enable them to creatively use data assets.
Required Qualifications: Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field)
Knowledge and expertise with SQL with Oracle, MySQL, and Relational Databases
Skilled with Python or similar languages
2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles. Can relax this requirement for PhD or equivalent experience.
Preferred Qualifications: A PhD or equivalent experience in a quantitative field (such as Computer Science, Mathematics, Physics, Machine Learning, Bioinformatics AI, Statistics, or equivalent)
Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systems
Knowledge and experience in network and graph based analytics techniques including graph databases
Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory
Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Outstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-experts
Passionate about working in a diverse group and contributing to an inclusive culture
When you join our team: Well empower you to learn and grow the career you want.
Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our distributed team, well support you in crafting the future you want to see.
#LI-Hybrid Acerca de Manulife y John Hancock Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera ms fcil y a vivir mejor. Para obtener ms informacin acerca de nosotros, visite http://www.manulife.com . Manulife es un empleador que ofrece igualdad de oportunidades En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retencin de talento, el ascenso y la remuneracin, y administramos todas nuestras prcticas y programas sin discriminacin por motivos de raza, ascendencia, lugar de origen, color, origen tnico, ciudadana, religin o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientacin sexual, caractersticas genticas, condicin de veterano, identidad de gnero, expresin de gnero, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente. Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajar con los solicitantes que requieran una adaptacin razonable durante el proceso de solicitud. Toda la informacin que se haya compartido durante el proceso de solicitud de adaptacin se almacenar y utilizar de manera congruente con las leyes y las polticas de Manulife/John Hancock correspondientes. Para solicitar una adaptacin razonable en el proceso de solicitud, envenos un mensaje a recruitment@manulife.com . Ubicacin principal Boston, Massachusetts Modalidades de Trabajo Hbrido Se prev que el rango salarial est entre $87,990.00 USD - $163,410.00 USD Si se est postulando para este puesto fuera de la ubicacin principal, pngase en contacto con recruitment@manulife.com para conocer el rango salarial de su ubicacin. El salario real variar segn las condiciones locales del mercado, la geografa y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educacin/capacitacin. Los empleados tambin tienen la oportunidad de participar en programas de incentivos y obtener una compensacin de incentivos vinculada al desempeo comercial e individual. Manulife/John Hancock ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontolgicos, de salud mental, oftalmolgicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopcin/subrogacin y bienestar, y planes de asistencia al empleado/familiar. Tambin ofrecemos a los empleados admisibles varios planes de ahorro para la jubilacin (incluidos planes de ahorro 401(k) o de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educacin financiera. Nuestro generoso programa de das libres pagos en EE. UU. contempla hasta 11 das festivos, 3 das personales, 150 horas de vacaciones y 40 horas de licencia por enfermedad (o ms cuando lo exija la ley) por ao, y ofrecemos todos los tipos de licencias contempladas por la ley. Conozca sus derechos (https://www.dol.gov/agencies/ofccp/posters) Permiso Familiar y Mdico Ley de Proteccin del Empleado contra el Examen Poligrfico (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf) Derecho al Trabajo Verificacin Electrnica (E-
Verify
) Transparencia Salarial (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) Company: John Hancock Life Insurance Company (U.S.A.) #J-18808-Ljbffr
Understand the business, the associated processes, systems & data environment.
Research, explore, and experiment with data driven business ideas.
Research & leverage published material to gain a comprehensive understanding of data science practices and methods.
Crafting and building business interpretable and performant analytics solutions Develop and implement data analytics enabled solutions to improve and re-imagine business process, to generate insights, and support strategy development.
Work on problems of diverse scope and complexity requiring the in-depth analysis of data.
Quickly develop enough business insight to connect data sources across multiple diverse and complex systems.
Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and making appropriate recommendations to business partners.
Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis.
Deploy rich data and analytics content in business applications.
Understand how the analysis of data impacts a broader business strategy, including the core drivers of business value.
Prepare cases on the benefits of the analytics work.
Elevate data and analytics skills in the business Help business partners better understand the use of data, drawing on a detailed understanding of data analytics and predictive modeling.
Identify and guide natural data champions to improve the profitable use of data.
Learn salient business concepts from data champions and enable them to creatively use data assets.
Required Qualifications: Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field)
Knowledge and expertise with SQL with Oracle, MySQL, and Relational Databases
Skilled with Python or similar languages
2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles. Can relax this requirement for PhD or equivalent experience.
Preferred Qualifications: A PhD or equivalent experience in a quantitative field (such as Computer Science, Mathematics, Physics, Machine Learning, Bioinformatics AI, Statistics, or equivalent)
Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systems
Knowledge and experience in network and graph based analytics techniques including graph databases
Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory
Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Outstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-experts
Passionate about working in a diverse group and contributing to an inclusive culture
When you join our team: Well empower you to learn and grow the career you want.
Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our distributed team, well support you in crafting the future you want to see.
#LI-Hybrid Acerca de Manulife y John Hancock Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera ms fcil y a vivir mejor. Para obtener ms informacin acerca de nosotros, visite http://www.manulife.com . Manulife es un empleador que ofrece igualdad de oportunidades En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retencin de talento, el ascenso y la remuneracin, y administramos todas nuestras prcticas y programas sin discriminacin por motivos de raza, ascendencia, lugar de origen, color, origen tnico, ciudadana, religin o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientacin sexual, caractersticas genticas, condicin de veterano, identidad de gnero, expresin de gnero, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente. Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajar con los solicitantes que requieran una adaptacin razonable durante el proceso de solicitud. Toda la informacin que se haya compartido durante el proceso de solicitud de adaptacin se almacenar y utilizar de manera congruente con las leyes y las polticas de Manulife/John Hancock correspondientes. Para solicitar una adaptacin razonable en el proceso de solicitud, envenos un mensaje a recruitment@manulife.com . Ubicacin principal Boston, Massachusetts Modalidades de Trabajo Hbrido Se prev que el rango salarial est entre $87,990.00 USD - $163,410.00 USD Si se est postulando para este puesto fuera de la ubicacin principal, pngase en contacto con recruitment@manulife.com para conocer el rango salarial de su ubicacin. El salario real variar segn las condiciones locales del mercado, la geografa y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educacin/capacitacin. Los empleados tambin tienen la oportunidad de participar en programas de incentivos y obtener una compensacin de incentivos vinculada al desempeo comercial e individual. Manulife/John Hancock ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontolgicos, de salud mental, oftalmolgicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopcin/subrogacin y bienestar, y planes de asistencia al empleado/familiar. Tambin ofrecemos a los empleados admisibles varios planes de ahorro para la jubilacin (incluidos planes de ahorro 401(k) o de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educacin financiera. Nuestro generoso programa de das libres pagos en EE. UU. contempla hasta 11 das festivos, 3 das personales, 150 horas de vacaciones y 40 horas de licencia por enfermedad (o ms cuando lo exija la ley) por ao, y ofrecemos todos los tipos de licencias contempladas por la ley. Conozca sus derechos (https://www.dol.gov/agencies/ofccp/posters) Permiso Familiar y Mdico Ley de Proteccin del Empleado contra el Examen Poligrfico (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf) Derecho al Trabajo Verificacin Electrnica (E-
Verify
) Transparencia Salarial (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) Company: John Hancock Life Insurance Company (U.S.A.) #J-18808-Ljbffr