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About Meytier Premier Employers
Premier Employers are industry leaders that have forged exclusive partnerships with Meytier to forward our shared mission to offset bias in hiring, and are only visible to members of the Meytier community.
Our Enterprise Data & Analytics organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies
Master’s degree in operations research, computer science, mathematics, statistics, economics, or related quantitative field and 8+ years of experience delivering quantitative decision tools for business applications (or PhD and 5+ years of experience)
Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques
Proficient in Python with 5+ years of applied experience
Proficient with one or more optimization modeling package and solver (e.
CPLEX, SCIP, Pyomo, SciPy)
A deep understanding of the theory and application of a variety of statistical and machine learning methods and algorithms, including optimization under uncertainty, forecasting, time series analysis, and Bayesian methods
Excellent communication skills with both technical and non-technical audiences
Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects
Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker.
A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment
Commitment to intellectual rigor and observance of compliance and data privacy controls
A disciplined approach to making decisions and setting expectations
Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data
Experience working with financial datasets (preferred).
Design and build advanced decision support systems that facilitate robust scenario planning for various business decisions, including constrained optimization solutions for deposit interest rates, portfolio outcomes, and acquisition strategies
Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes
Develop relationships with other data scientists as well as partners in Finance, Pricing & Profitability, Product, Data, and Technology Services, to collaboratively deliver transformational optimization capabilities
Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions.
Compensation Range: Upto $180k
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more.
Our organization provides equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws.
We are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism.
Employment decisions are based solely on merit, qualifications, performance and capability
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acquisition strategies</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Master’s degree in operations research, computer science, mathematics, statistics, economics, or related quantitative field and 8+ years of experience delivering quantitative decision tools for business applications (or PhD and 5+ years of experience)</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Proficient in Python with 5+ years of applied experience </span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Proficient with one or more optimization modeling package and solver (e.g. CPLEX, SCIP, Pyomo, SciPy)</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">A deep understanding of the theory and application of a variety of statistical and machine learning methods and algorithms, including optimization under uncertainty, forecasting, time series analysis, and Bayesian methods </span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Excellent communication skills with both technical and non-technical audiences</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects </span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Commitment to intellectual rigor and observance of compliance and data privacy controls</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">A disciplined approach to making decisions and setting expectations</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Experience working with financial datasets (preferred)</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Design and build advanced decision support systems that facilitate robust scenario planning for various business decisions, including constrained optimization solutions for deposit interest rates, portfolio outcomes, and acquisition strategies</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Develop relationships with other data scientists as well as partners in Finance, Pricing & Profitability, Product, Data, and Technology Services, to collaboratively deliver transformational optimization capabilities</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions.</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Upto $180k</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more.</span></p><p class=\"ql-align-justify\"><span style=\"color: rgb(34, 34, 34);\">Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other 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