Data Science/Analytics Recruitment

  • Placing mid- to senior-level executives in data science jobs, big data analytics jobs, advanced analytics, statistical modeling, web and digital analytics careers, decision sciences, forecasting, incentive compensation, sales force optimization, risk management, actuarial science and predictive modeling positions
  • Our clients come from such diverse industries as retail, consumer packaged goods, insurance, automotive, advertising, telecommunications, marketing, consulting, energy, pharmaceutical, biotechnology, medical devices, and financial services including banks, credit card companies and mortgage lenders.
  • To understand more about how we partner with our clients read Our Recruiting Relationship
  • Contact Paul Chatlos at 203.319-4304 or pchatlos@smithhanley.com for all your data science and big data analytics hiring needs.

Data Science/Analytics Jobs

  • Data Scientist
  • Actuary
  • Chief Risk Officer
  • VP/Director/Manager, Advanced Analytics/Decision Sciences
  • VP/Director/Manager, Statistical Modeling
  • VP/Director/Manager, Risk Modeling
  • Risk Analyst/Market Analyst/Modeler
  • Analytical Consultant/Statistical Consulting/Pricing Consultant
  • Business Analyst/Digital or Web Analyst

Please Contact Us

Nancy Darian, Midwest/Southeast/Southwest

One of Nancy’s favorite hobbies is cooking for family and friends. And when she’s at the office, she does soup to nuts recruiting as team leader and executive recruiter for the marketing analytics and data science practice in the Midwest and South regions. She believes that the recipe for success involves working closely with both clients and candidates. Nancy knows that her clients have a lot on their plates and need recruiting assistance from a professional, so she focuses on serving up a menu of qualified candidates that fit her clients’ technical, industry and soft skill requirements. In her broad recruiting area, she hunts down cream of the crop candidates at all levels, from small potatoes to big enchiladas. Her overall assessment of her career at Smith Hanley? It’s been a fun way to bring home the bacon.

If you want to know what Nancy has been cooking up lately at Smith Hanley, send her a message at ndarian@smithhanley.com

Areas of Expertise:
A/B testing, acquisition and loyalty analytics, ANOVA, Bayesian, big data, Business Objects, campaign analysis, CHAID, CART, churn analysis, cluster analysis, CPG analytics, CRM analytics, customer lifetime value, data mining, decision trees, demand planning, design of experiments, digital (web) analysis, discrete choice, DOE, factor analysis, forecasting, fraud detection analysis, Google Analytics, Hadoop, Hive, JMP, linear regression, logistic regression, machine learning, MANOVA, market mix modeling, marketing analytics, model validation, multivariate analysis, neural networks, Omniture, optimization, Pig, pricing analysis, predictive modeling, predictive analytics, POS data, promotion response analysis, propensity analysis, Python, R, ROI analysis, regression analysis, retention analysis, SAS, SPSS, SQL, segmentation analysis, scoring, site selection, statistical modeling, statistical analysis, survey analysis, time series analysis

Nikki Quist, East and West Coasts

Nikki concentrates her efforts on the nationwide placement of quantitative marketing and data science professionals. Building relationships is her highest priority, allowing her to help candidates identify the career goal that best suits them, and help clients align their needs with the marketplace.

Nikki brings her clients 20+ years of recruiting industry experience, having sourced and recruited across a variety of industries, disciplines, and levels, predominantly specializing in technology.

Areas of Expertise:
Analyst, Analytics, Analysis, Big Data, Business Analysis, Business Analyst, Data Analysis, Data Analyst Digital Analytics, Database Management, Data Mining, Data Scientist, Decision Science, Digital Analytics, Econometrician, Econometric Modeling, Forecasting, Machine Learning, Marketing Analytics, Market Research, Market Mix Modeling, Media Mix Modeling, Modeling, Pricing, Programming, Promotion Response, Sampling, Statistics, Statistical Analysis, Statistician, Survey Methodology, Web Analytics, R, SAS, Python, SQL,: Classification Methods including Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forest; Regression methods including Linear, Nonlinear, Boosted Regression Trees; Clustering methods such as K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling; Time-series Modeling using AR, ARMA, GARCH, Exponential Smoothing, also, Hypothesis Testing, Experiment Design, Hierarchical Modeling, Bayesian Inference, Java, Matlab, Octave, R, VBA, Linux, Shell Scripting, Map-Reduce, Hadoop, Hive, NoSQL ,: cognos, Informatica, OLAP, Oracle, Qlikview, Sybase, Spotfire, Teradata, MS-Access, Relational Databases, XML, JSON, PLSQL, NOSQL, Oracle 11g, MongoDB, Omniture, Google Analytics, and Spring Metrics.

 

Paul Chatlos, East and West Coasts

Paul specializes in the recruitment of quantitative marketing and data science professionals. He prides himself in building excellent relationships with both clients and candidates in order to best address their hiring needs and career goals.

Paul has spent the majority of his professional career in the recruitment industry. He has recruited sales and marketing professionals in the pharmaceutical, medical device and biotechnology industries as well has worked in physician recruitment. He holds a BS in psychology from James Madison University.

Areas of Expertise:
Analyst, Analytics, Analysis, Big Data, Business Analysis, Business Analyst, Data Analysis, Data Analyst Digital Analytics, Database Management, Data Mining, Data Scientist, Decision Science, Digital Analytics, Econometrician, Econometric Modeling, Forecasting, Machine Learning, Marketing Analytics, Market Research, Market Mix Modeling, Media Mix Modeling, Modeling, Pricing, Programming, Promotion Response, Sampling, Statistics, Statistical Analysis, Statistician, Survey Methodology, Web Analytics, R, SAS, Python, SQL,: Classification Methods including Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forest; Regression methods including Linear, Nonlinear, Boosted Regression Trees; Clustering methods such as K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling; Time-series Modeling using AR, ARMA, GARCH, Exponential Smoothing, also, Hypothesis Testing, Experiment Design, Hierarchical Modeling, Bayesian Inference, Java, Matlab, Octave, R, VBA, Linux, Shell Scripting, Map-Reduce, Hadoop, Hive, NoSQL ,: cognos, Informatica, OLAP, Oracle, Qlikview, Sybase, Spotfire, Teradata, MS-Access, Relational Databases, XML, JSON, PLSQL, NOSQL, Oracle 11g, MongoDB, Omniture, Google Analytics, and Spring Metrics.

Sean Murphy, Credit

Sean-Murphy_IMG_4810 copy SMurphy@smithhanley.com

312-629-2400

Since joining Smith Hanley in January 2011, Sean has developed a deep knowledge of the financial services space, especially within consumer/commercial lending, credit cards, sub-prime, risk management and regulatory concepts such as CCAR and stress testing. In working with both large and small financial institutions for the past 7 years, Sean has proven his ability to understand clients needs and provide top talent. A strong believer in quality over quantity, Sean can provide exceptional service as well as a positive experience for both the client and the candidate.

Sean received a BFA in theatre performance from the University of Illinois Chicago. His ability to ask to ask the right questions, think outside the box and apply creative strategies to meet his goals have not only made him a successful recruiter, but a true business partner to his clients and candidates alike. In his spare time, Sean still enjoys playing a host of fictional characters on Chicago’s stages as well as baking, team fitness competitions and soccer.

 

Areas of Expertise:
Consulting, Statistical Analysis, Credit Scoring, Quantitative Marketing, Portfolio Management, Risk Analysis, Pricing, Fraud, Credit Policy, Loss Forecasting, Risk Management, Basel II Modeling, Behavioral Modeling, Targeting / Segmentation, Predictive Modeling, Database Management, Data Warehousing, CRM, Data Mining, SAS Programming, Web Analytics, Business Development, Direct Mail, Campaign Management, Direct Marketing, Credit Risk Modeling, Regulatory Compliance, CCAR/DFAST, Stress Testing, Decision Sciences, ALLL, PD, LGD, EAD modeling, Economic Capital, Model Validation, Model Risk Management, Digital Analytics, Data Science

 

Rory Hauser, Actuarial Science

Rory-Hauser_IMG_3988IMG_3988 RHauser@smithhanley.com

203-319-4300 x220

Specializing in the placement of actuaries and statistical analytics candidates nationwide. Our clients are looking for experienced professionals with the following skill set:

– Society of Actuaries (ASA, FSA, CERA, ERM) Casualty Actuarial Society          (ACAS, FCAS)
– Extensive knowledge and understanding of underwriting guidelines and concepts
– Understanding of insurance products, pricing, rates and industry trends
– Experience performing statistical/actuarial analysis and data forecasting and  modeling techniques
– Bachelor/Masters degree in Actuarial Science, Mathematics, Statistics,  Economics or other relevant quantitative fields.

Technical Skills: SAS, SQL, VBA, R, GGY-AXIS, MG-ALFA, Proval, Prophet, MoSes, TAS

Who we represent
• Multinational & Domestic Insurers/Reinsurers
• Top tier Consulting Firms (Global & Boutique)
• Large banks and other financial institutions
• Healthcare providers

Areas of Specialization:

Life & Annuities
• Universal and Traditional Life Products, Group Insurance, LTC
• Pricing, Valuation, and Product Development, Underwriting
• GAAP & Financial reporting, VA Hedging
• Modeling (GGY-AXIS, MG-ALFA, MoSes, TAS, SAS, SQL, etc.)

Health
• Product development / pricing / underwriting / rate filing
• Actuarial valuation, reserve development and financial reporting
• Medicare & Medicare bid pricing analysis
• Affordable Care Act, 3 R’s, Provider & Vendor selection

Employee Benefits & Retirement
• Funding, valuation, cost management, tax
• FAS 87, 106, 112, and 158 analysis and valuations
• Small Plan Design, Cash Balance plans
• M&A Structure, Retiree medical

Risk Management
• CERA, ERM, ORM, FRM
• Quantitative/analytical models
• Underwriting, ALM, Hedging

Property and Casualty
• Personal, Commercial, Specialty Insurance
• Catastrophic modeling
• Product Management, Claim Analytics and Business Analytics
• Rate Plans, Forecasting, Benchmarking, Special Projects

 

Eda Zullo, Pharmaceutical

Eda joined Smith Hanley Associates in 2000. Her relationships with her clients and candidates is one of personalized, knowledgeable service. Helping companies develop and build groups, and working with candidates throughout their careers, are the hallmarks of her recruiting practice.

Eda’s expertise is in the recruitment of pharmaceutical and biotech healthcare professionals in the quantitative and statistical area. Her practice is within the marketing analytics space that concentrates in marketing science, sales analytics, forecasting and promotion response.

Before joining Smith Hanley Associates, Eda spent more than 20 years in the nonprofit sector with the Muscular Dystrophy Association (MDA). She had regional sales and marketing responsibilities in metropolitan New York. With expertise in membership development, special events and promotions, Eda fostered strong business relationships with corporations through strategic alliances and partnerships throughout her tenure. She holds a BA in sociology from Rosemont College.

Areas of Expertise:
Pharma, Biotech, Healthcare, Medical Device, Management Science, Marketing Science, Sales and Marketing Analytics, Forecasting, Call Planning and Targeting, Sales and Commercial Effectiveness, Promotion Response Analysis, Territory Alignment, Sales Force Size and Structure, Marketing Mix Analysis, Statistical Analysis, Big Data, SAS, R, Hadoop, SQAL, SPSS, Spotfire, Microsoft Access, Microsoft Office.

Stefan Lehtis, Midwest/Southeast/Southwest

Stefan joined Smith Hanley in March 2015. Previously, Stefan worked as a Benefits Advisor at Aon Hewitt specializing in benefits consulting, and participated in the large-scale medical benefits transition for former employees of several Fortune 100 companies. In this capacity, Stefan was a licensed broker in a number of states and developed expertise in a variety of insurance matters. This experience, along with his human resources concentration as an undergraduate, gives Stefan unique perspective on a broad range of data science and statistical topics. He started by supporting the Credit group working directly with financial services clients and analytics professionals. Moving into the Statistics Group in 2017, He has already developed strong communication and advisory skills, and is keenly interested in facilitating organizational development. Stefan holds a bachelor’s degree in business administration, human resource management/personnel administration from the Tippie School of Business at the University of Iowa.

Areas of Expertise:
Statistical Analysis, Machine Learning, Quantitative Research, Pricing Analytics, Behavioral Modeling, Targeting / Segmentation, Predictive Modeling, Database Management, Data Warehousing, CRM, Data Mining, SAS Programming, Web Analytics, Digital Marketing