Senior Data Science EngineerManulife Insurance Malaysia • Boston, MA, United States
Senior Data Science Engineer
Manulife Insurance Malaysia • Boston, MA, United States
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job_description.job_card.job_descriptionNous utilisons des pour fournir des statistiques qui nous aident à vous offrir la meilleure expérience sur note site. Vous y trouverez des renseignements sur les témoins, ou vous pouvez les désactiver si vous préférez. Toutefois, en continuant d’utiliser le site sans modifier les paramètres, vous consentez à notre utilisation de À propos de Manuvie et de John Hancock La Société Financière Manuvie est un chef de file mondial des services financiers qui aide les gens à prendre leurs décisions plus facilement et à vivre mieux. Pour en apprendre plus à notre sujet, rendez vous à l’adresse . Manuvie est un employeur qui souscrit au principe de l’égalité d’accès à l’emploi Chez Manulife / John Hancock nous valorisons notre diversité. Nous nous efforçons d’attirer, de perfectionner et de maintenir une main d'oeuvre qui est aussi diversifiée que nos clients, et de favoriser la création d’un milieu de travail inclusif qui met à profit la diversité de nos employés et les compétences de chacun. Nous nous engageons à assurer un recrutement, une fidélisation, une promotion et une rémunération équitables, et nous administrons toutes nos pratiques et tous nos programmes sans discrimination en raison de la race, de l’ascendance, du lieu d’origine, de la couleur, de l’origine ethnique, de la citoyenneté, de la religion ou des croyances ou des convictions religieuses, du genre (y compris grossesse et affection liée à une grossesse), de l’orientation sexuelle, des caractéristiques génétiques, du statut d’ancien combattant, de l’identité de genre, de l’expression de genre, de l’âge, de l’état matrimonial, de la situation de famille, d’une invalidité ou de tout autre motif protégé par la loi applicable.Nous nous sommes donné comme priorité d’éliminer les obstacles à l’accès égalitaire à l’emploi. C’est pourquoi un représentant des Ressources humaines collaborera avec les candidats qui demandent accommodement raisonnable pendant le recrutement. Tous les renseignements communiqués pendant le processus de demande d'accommodement seront stockés et utilisés conformément aux lois et aux politiques applicables de Manuvie. Pour demander une mesure d’accommodement raisonnable dans le cadre du recrutement, écrivez à recruitment@manulife.com. Referenced Salary Location Boston, Massachusetts Modalités de travail Hybride Salary range is expected to be between $104,860.00 USD - $194,740.00 USDSi vous posez votre candidature à ce poste en dehors de la région principale, veuillez écrire à recruitment@manulife.com pour obtenir l’échelle salariale correspondant à votre région. Le salaire varie en fonction des conditions du marché local, de la géographie et de facteurs pertinents liés au poste telles les connaissances, les compétences, les qualifications, l’expérience et l’éducation ou la formation. Les employés ont également la possibilité de participer à des programmes de motivation et de toucher une rémunération incitative liée au rendement de l’entreprise et au rendement individuel.Manulife / John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption / surrogacy and wellness benefits, and employee / family assistance plans. We also offer eligible employees various retirement savings plans (including pension / 401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence. Company : John Hancock Life Insurance Company (U.S.A.)The data science engineer is responsible for developing automated tools and data products to enhance AI capabilities and designing efficient, business-friendly analytics solutions. They focus on creating scalable, self-service systems to support the AI team's expansion. Additionally, they leverage their extensive knowledge in data analytics and technology to educate and improve the skills of others. Position Responsibilities : Provide data subject matter expertise Responsible for understanding the systems & data environment. Research, explore, and tinker with new data design ideas and related technologies. Collaborate with internal / external data experts. Research & leverage technical documentation to gain a holistic understanding of the data domain. Support Analytics projects Work with data scientists to transform business requests into value-add data products and capabilities. Work closely with business teams and data scientists to collaboratively assess, understand, improve, and deliver rich data content for analysis. Assist in the development the conceptual / logical data models or semantic layers with appropriate business contexts. Automate, re-build, and re-imagine data processes to increase efficiencies in business processes. Tactical support of project activities : data access, understanding, engineering, visualization, and decision making. Elevate data and analytics skills in the business Help businesspeople better understand the use of data and automation, drawing on a thorough understanding of and experience with technologies for intelligent automation, data modeling, data management, etc. Identify and guide natural data champions in the business to enhance the profitable use of data. Learn salient business concepts from data champions and enable them to creatively use data technologies. Required Qualifications : 7+ years’ of Data Science experience Advanced experience with databases. Advanced Experience in Python, SQL, Spark, C#, etc. Advanced Experience in automating data pipelines and working with data transformation tools. Advanced experience working with internal business contacts to develop analytical reports. Advanced experience with cloud technologies, particularly Azure, and Data as a Service (DaaS).University degree in quantitative based field (e.g. Mathematics, Physics, and Engineering). Preferred Qualifications : Experience providing data analysis to support management decisions. General knowledge of data analytics theory & application. Experience with analytics tools and visualization tools a plus. When you join our team : We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see.#LI-Hybrid
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Senior Data Engineer • Boston, MA, United States
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