Position SummaryAs an experienced Data Scientist, you will be responsible for applying modern Advanced Analytics methods (i.e. Machine Learning) to examine business questions and uncover novel insights. You will work closely with application architects to integrate results into operational platforms, including SAS, Hadoop, Tableau and SQL architectures. The position includes: analytic computing, data analytics, Machine Learning/predictive modeling and communication of solutions and results.You Are:You are analytically driven, intellectually curious, and like to create data science solutions applying Machine Learning algorithms to solve ambitious business problems. Solutions enable business team members to leverage data and actionable insights to make better decisions across value chain.You are fueled by collaboration and are able to transform conceptual thinking into executable insights.You enjoy collaborating with multi-disciplinary team including data engineers, business analysts, software developers and functional business authorities and leaders.You also have gained enough experience to supervise more junior data scientists and lead core components of high-impact projects.You Will:Collaborate with cross-functional teams to identify the highest value activities for Advanced Data and Analytics groupWork closely with Data Architecture Lead to understand systems opportunities and constraints for maximally monetizing the Guardian Enterprise Data InfrastructureDevelop relationships with business team members by being proactive, displaying an increasing understanding of the business processes and by recommending innovative solutionsProvide data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needsCommunicate project output in terms of customer value, business objectives, and product opportunityMentor data analytics associates on project delivery and solutioning directionAttend industry conferences to stay ahead of on industry trends, challenges, and potential market opportunitiesPromote data science methods and processes across functionsYou Have:Master's degree with 7+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related fieldExperience with parallelism in applying machine learningExtensive Experience in SQL query and optimization7+ years of Modeling/Development experienceExperience leading key analytics / ML modeling solutionsFamiliarity with at least 2 of the following modeling software packages: R, Python, SPSS, SASExperience bringing prototypes to production on Hadoop and/or NoSQL platforms; familiarity with Machine Learning Ops beneficialExperience with visualization software (Tableau, DOMO, Spotfire, Qlikview)Familiar with a range of machine learning models; for example: Random Forest, GBM, XGboost, GLM/glmnet, Deep learning convolutional models, recurrent models, and dimensionality reduction methods, including PCA, SVD , IsomapFamiliar with a range of machine learning related tools, for example: including Python scikit-learn, Pandas, numpy, R caret, H2O, Tensorflow, KerasResults driven with a positive can do attitudeIndividual with curiosity to find stories hidden in a large repository of dataEffective communication skills to work with partners to identify business questions and work through their data to search for answers. Tell relevant story with data and explain complex solutions in a simple way.Expected to actively participate in defining and governing our analytics strategyStrong in implementing data science driven projects as we build out capabilities and our technical architecture.Strong eye for business, with ability to draw clear connections between data modeling activities and business challenges/opportunitiesDemonstrable ability to organize, prioritize and handle time constraints and manage shifting priorities.Consistent accuracy and thoroughness in performing work assignmentsAbility to work collaboratively with development/implementation staff through the design and build of new business processes and systemsUnderstanding of best-in-class model and data configuration and development processesUnderstanding of data science trends and potential future state technologiesLocation & Travel:2 Days a week at our offices in New York, NY, or Holmdel, NJ or Bethlehem, Pa and 3 days a week remote.#GuardianITSalary 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 PromiseAt Guardian, youll 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-BeingAs part of Guardians Purpose to inspire well-being we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.Health CareChoice 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 insuranceLife and Disability InsuranceCompany-paid Life and Disability insurance plus voluntary supplemental coverageAccident insuranceRetirement and Financial401(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 representativeTime Off and Remote WorkFlexible 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 policiesEmotional Well-being and Work-LifeEmotional 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 areasBenefits apply to full-time eligible employees. Interns are not eligible for most Company benefits.Equal Employment OpportunityGuardian 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.AccommodationsGuardian 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-Ljbffrby Jobble

Position Summary As an experienced Data Scientist, you will be responsible for applying modern Advanced Analytics methods (i.e. Machine Learning) to examine business questions and uncover novel insights. You will work closely with application architects to integrate results into operational platforms, including SAS, Hadoop, Tableau and SQL architectures. The position includes: analytic computing, data analytics, Machine Learning/predictive modeling and communication of solutions and results. You Are: <ul><li>You are analytically driven, intellectually curious, and like to create data science solutions applying Machine Learning algorithms to solve ambitious business problems. Solutions enable business team members to leverage data and actionable insights to make better decisions across value chain.</li><li>You are fueled by collaboration and are able to transform conceptual thinking into executable insights.</li><li>You enjoy collaborating with multi-disciplinary team including data engineers, business analysts, software developers and functional business authorities and leaders.</li><li>You also have gained enough experience to supervise more junior data scientists and lead core components of high-impact projects.</li></ul> You Will: <ul><li>Collaborate with cross-functional teams to identify the highest value activities for Advanced Data and Analytics group</li><li>Work closely with Data Architecture Lead to understand systems opportunities and constraints for maximally monetizing the Guardian Enterprise Data Infrastructure</li><li>Develop relationships with business team members by being proactive, displaying an increasing understanding of the business processes and by recommending innovative solutions</li><li>Provide data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs</li><li>Communicate project output in terms of customer value, business objectives, and product opportunity</li><li>Mentor data analytics associates on project delivery and solutioning direction</li><li>Attend industry conferences to stay ahead of on industry trends, challenges, and potential market opportunities</li><li>Promote data science methods and processes across functions</li></ul> You Have: <ul><li>Master's degree with 7+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field</li><li>Experience with parallelism in applying machine learning</li><li>Extensive Experience in SQL query and optimization</li><li>7+ years of Modeling/Development experience</li><li>Experience leading key analytics / ML modeling solutions</li><li>Familiarity with at least 2 of the following modeling software packages: R, Python, SPSS, SAS</li><li>Experience bringing prototypes to production on Hadoop and/or NoSQL platforms; familiarity with Machine Learning Ops beneficial</li><li>Experience with visualization software (Tableau, DOMO, Spotfire, Qlikview)</li><li>Familiar with a range of machine learning models; for example: Random Forest, GBM, XGboost, GLM/glmnet, Deep learning convolutional models, recurrent models, and dimensionality reduction methods, including PCA, SVD , Isomap</li><li>Familiar with a range of machine learning related tools, for example: including Python scikit-learn, Pandas, numpy, R caret, H2O, Tensorflow, Keras</li><li>Results driven with a positive can do attitude</li><li>Individual with curiosity to find stories hidden in a large repository of data</li><li>Effective communication skills to work with partners to identify business questions and work through their data to search for answers. Tell relevant story with data and explain complex solutions in a simple way.</li><li>Expected to actively participate in defining and governing our analytics strategy</li><li>Strong in implementing data science driven projects as we build out capabilities and our technical architecture.</li><li>Strong eye for business, with ability to draw clear connections between data modeling activities and business challenges/opportunities</li><li>Demonstrable ability to organize, prioritize and handle time constraints and manage shifting priorities.</li><li>Consistent accuracy and thoroughness in performing work assignments</li><li>Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems</li><li>Understanding of best-in-class model and data configuration and development processes</li><li>Understanding of data science trends and potential future state technologies</li></ul> Location & Travel: <ul><li>2 Days a week at our offices in New York, NY, or Holmdel, NJ or Bethlehem, Pa and 3 days a week remote.</li></ul> #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 <ul><li>Choice of [high deductible/copay] medical plans* with prescription drugs, including coverage for fertility and transgender inclusive benefits</li><li>Dental plan</li><li>Vision plan</li><li>Health care accounts - flexible spending, health reimbursement, and health savings accounts</li><li>Critical illness insurance</li></ul> Life and Disability Insurance <ul><li>Company-paid Life and Disability insurance plus voluntary supplemental coverage</li><li>Accident insurance</li></ul> Retirement and Financial <ul><li>401(k) retirement plan with a company match, plus an annual age/service-based Company contribution and an annual profit-sharing contribution, if applicable</li><li>Complimentary 1:1 financial guidance with a licensed Fidelity representative</li></ul> Time Off and Remote Work <ul><li>Flexible work arrangements (part in-person/part remote)</li><li>Unlimited paid time off for most roles plus time off for volunteering, jury duty, voting, and bereavement</li><li>Personal holidays for colleagues to use in recognition of religious, cultural, or civic days</li><li>Paid parental leave and paid family and medical leave policies</li></ul> Emotional Well-being and Work-Life <ul><li>Emotional well-being, mental health, and work/life resources powered by Spring Health</li><li>Wellness programs, including fitness program and equipment reimbursement</li><li>Child, adult, and elder back-up care support through Bright Horizons</li><li>Adoption assistance</li><li>College planning</li><li>Tuition reimbursement</li><li>Student loan assistance</li><li>Commuter benefits in select metropolitan areas</li></ul> 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.

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