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.
EXCLUSIVELY ON MEYTIER
You're in luck. This opportunity exclusively available through Meytier.
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.
Citizens’ Enterprise Data & Analytics (ED&A) organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies.
Key Responsibilities:
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
Desired Profile:
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.g. 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).
Compensation Range: Upto $180k
Is this job not quite the right fit? No worries, Meytier has hundreds of active, open jobs. Browse more opportunities here. If you’d like to connect with a Meytier champion for help in your job search, create an account here.
{"group":"Organization","title":"Data Science Lead- Optimization","skills":"<ul><li>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)</li><li>Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques</li><li>Proficient in Python with 5+ years of applied experience </li><li>Proficient with one or more optimization modeling package and solver (e.g. CPLEX, SCIP, Pyomo, SciPy)</li><li>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 </li><li>Excellent communication skills with both technical and non-technical audiences</li><li>Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects </li><li>Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker</li><li>A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment</li><li>Commitment to intellectual rigor and observance of compliance and data privacy controls</li><li>A disciplined approach to making decisions and setting expectations</li><li>Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data</li><li>Experience working with financial datasets (preferred)</li></ul> ","zohoId":"","endDate":"2025-06-05T18:30:00.000Z","isDraft":false,"jobType":"Full Time","job_url":"3136-citizens-data-science-lead-optimization","agencyId":1,"benefits":"<p><span style=\"color: rgb(35, 31, 32);\">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> ","clientId":"35","location":[{"lat":39.9625112,"lon":-83.0032218,"zip":"","city":"Columbus","text":"Columbus, OH, USA","state":"Ohio","country":"United States","is_city":true,"is_state":false,"is_country":false,"state_code":"OH","countryCode":"US","isLocationSet":true,"nearByHexCodes":["842a957ffffffff","842a955ffffffff","842a90bffffffff","842a91dffffffff","842a919ffffffff","842a953ffffffff","842a951ffffffff"],"loc_h3_hex_res4":"842a957ffffffff","isLocationResolved":true}],"eeocFound":true,"maxSalary":"","minSalary":"","questions":[],"startDate":"2025-05-21T18:30:00.000Z","hiringSPOC":["Kingston Pereira"],"hiringTags":[],"onBehalfOf":"49","companyName":"Meytier","description":"<p>Citizens’ Enterprise Data & Analytics (ED&A) organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies. </p><p>In this role, you will:</p><ul><li>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</li><li>Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes</li><li>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</li><li>Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions </li></ul><p>A successful incumbent will have:</p><ul><li>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)</li><li>Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and advanced technical & statistical programming techniques</li><li>Proficient in Python with 5+ years of applied experience </li><li>Proficient with one or more optimization modeling package and solver (e.g. CPLEX, SCIP, Pyomo, SciPy)</li><li>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 </li><li>Excellent communication skills with both technical and non-technical audiences</li><li>Strong leadership and team management skills, including the ability to effectively lead both direct reports and complex, multi-team projects </li><li>Experience with cloud computing platforms (preferably AWS) and ML-related services such as Amazon Sagemaker</li><li>A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment</li><li>Commitment to intellectual rigor and observance of compliance and data privacy controls</li><li>A disciplined approach to making decisions and setting expectations</li><li>Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data</li><li>Experience working with financial datasets (preferred)</li></ul><p><br></p> ","isHybridJob":false,"isRemoteJob":false,"salaryRange":"<p>Upto $180k</p> ","titleSkills":[{"keyword":"data science","node_id":"i10017","removed":false,"node_ptr":[["meytier_root","information technology","data science"]],"priority":-1,"alignedTF":true,"must_have":false,"node_name":"data science","extractedTF":true,"not_a_skill":false,"nice_to_have":false,"nodeAlignedWt":14,"is_industry_term":false,"gender_threshold_yn":"balanced","final_node_fft_weights":{"information technology":1},"final_node_skarea_basetype":""}],"otherCohorts":[],"benefitsFound":true,"hiringManager":["User / Info not available"],"maxExperience":12,"minExperience":8,"type_of_slate":"job","hiringFunction":["Technology & IT Delivery"],"isOnPremiseJob":true,"onBehalfOfName":"Citizens","otherlocations":[],"blindHiringMode":true,"experienceLevel":"Mid / Senior","numberOfOpenings":"1","otherCohortsName":"","otherInformation":" ~","responsibilities":"<ul><li>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</li><li>Serve as the lead modeler for machine learning models and analytic products, from design phase to development, deployment, and integration into larger business processes</li><li>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</li><li>Invest in developing deep knowledge of business decision frameworks, operational processes, and data in order to successfully design & develop practicable solutions.</li></ul> ","extractedSkillIds":["i10017"],"maxSeniorityLevel":6,"minSeniorityLevel":3,"otherJobReference":"","sharpenedJobTitle":"Data Science Lead- Optimization","job_category_group":"2","growthOppurtunities":[],"educationQualification":"Masters Degree","skillSenNormalizedTitle":"5__2__i10017","extractSkillsFromHereToo":true,"normalizedTitleSkillsObj":{"normalizeTitle":"Data Science Lead Optimization","allAlignedSkills":{"i10017":3},"detected_keywords":[{"keyword":"data science","node_id":"i10017","node_ptr":[["meytier_root","information technology","data science"]],"end_index":11,"node_name":"data science","is_license":false,"node_trunk":"data science","node_ptr_wt":"0.9","parent_node":"information technology","start_index":0,"is_role_node":false,"ptr_to_trunk":[["data science"]],"skill_in_use":true,"skill_source":"IMPOSED","source_table":"imposed","detected_term":"data science","is_trunk_node":false,"ecosystem_type":[],"expanded_terms":{"ptr":[["data science"]],"child":["ai / ml","algorithms","analytics","classification","cluster analysis","data mining","expert systems","forecasting","recommender systems","regression","simulation","statistics","graph analysis","data science - certifications","pattern matching","predictive analytics","sas"]},"level_from_root":2,"neighbor_scores":{"data science":1,"meytier_root":0.4,"information technology":0.6},"node_trunk_type":"information technology","ecosystem_values":[],"gender_ss_skills":{"norm_counts":{"6":32,"13":55,"X":56},"counts_gt_threshold_yn":true,"gender_ssk_gt_threshold_yn":"unbalanced"},"input_text_index":0,"is_certification":false,"is_industry_term":false,"node_display_name":"data science","avg_dist_from_leaf":3,"final_node_basetype":["IT AREA"],"gender_title_skills":{"norm_counts":{"6":38,"13":65,"X":67},"counts_gt_threshold_yn":true,"gender_tsfs_gt_threshold_yn":"balanced"},"is_org_function_term":false,"levelsum_count_ratio":3,"is_base_title_keyword":false,"neighbor_scores_by_id":{},"final_node_fft_weights":{"information technology":1},"is_artificial_pseudonode":false,"final_node_skarea_basetype":"","is_executive_title_keyword":false,"skill_norm_name_kp_get_or_ext":"ext"}],"extractedSkillIds":["i10017"],"maxSeniorityLevel":5,"detectedIndustries":{},"detectedOrgFunctions":{},"normalized_field_name":"title","detectedCertifications":{},"sortedAlignedSkillsObj":{"i10017":{"value":3.62,"node_ptr":[["meytier_root","information technology","data science"]],"node_name":"data science","final_node_fft_weights":{"information technology":1}}},"skillSenNormalizedTitle":"5__2__i10017","diversityMappedDescriptionSkillsByTitleFiltered":[]},"companyTeamJobIntroduction":"<p>Citizens’ Enterprise Data & Analytics (ED&A) organization is seeking a Lead Data Scientist with strong analytical and algorithmic skills to optimize interest rates, portfolio outcomes, and acquisition strategies</p> ","normalized_title_object_new":{"in_use":true,"skills":["data science"],"industry":["ALL INDUSTRIES"],"root_role":"data scientist","is_root_role":false,"matched_with":"data science lead","department_team":"data science","normalized_title":"lead data scientist","reason_for_match":"BTM","frequently_found_skills":[],"inormalized_titles_master_new":"205","match_inside_length_threshold":false,"normalized_title_display_name":"Lead Data Scientist"},"dNIEEOCTextFocusOtherControl":"<p><span style=\"color: rgb(35, 31, 32);\">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 category protected by federal, state and/or local laws. At Citizens, 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</span></p> ","expertise_coreskill_or_product":["python"],"displayJobDescriptionSimpleForm":true,"expertise_coreskill_or_product_id":["ie10132"],"job_id":"3136"}