60 articles from the data science eBook

Part I - Data Science Recipes

1. New random number generator: simple, strong and fast
2. Lifetime value of an e-mail blast: much longer than you think
3. Two great ideas to create a much better search engine
4. Identifying the number of clusters: finally a solution
5. Online advertising: a solution to optimize ad relevancy
6. Example of architecture for AaaS (Analytics as a Service)
7. Why and how to build a data dictionary for big data sets
8. Hidden decision trees: a modern scoring methodology
9. Scorecards: Logistic, Ridge and Logic Regression
10. Iterative Algorithm for Linear Regression
11. Approximate Solutions to Linear Regression Problems
12. Theorems for Traders
13. Preserving metric and score consistency over time and across clients
14. Advertising: reach and frequency mathematical formulas
15. Real Life Example of Text Mining to Detect Fraudulent Buyers
16. Discount optimization problem in retail analytics
17. Sales forecasts: how to improve accuracy while simplifying models?
18. How could Amazon increase sales by redefining relevancy?
19. How to build simple, accurate, data-driven, model-free confidence i...
20. Comprehensive list of Excel errors, inaccuracies and use of non-sta...
21. 10+ Great Metrics and Strategies for Email Campaign Optimization
22. 10+ Great Metrics and Strategies for Fraud Detection
23. Case Study: Four different ways to solve a data science problem
24. Case Study: Email marketing -  analytic tips to boost performance b...
25. Optimize keyword campaigns on Google in 7 days: an 11-step procedure
26. How do you estimate the proportion of bogus accounts on Facebook?

Part II - Data Science Discussions

1. Statisticians Have Large Role to Play in Web Analytics (AMSTAT inte...
2. Future of Web Analytics: Interview with Dr. Vincent Granville
3. Connecting with the Social Analytics Experts
4. Interesting note and questions on mathematical patents
5. Big data versus smart data: who will win?
6. Creativity vs. Analytics: Are These Two Skills Incompatible?
7. Barriers to hiring analytic people
8. Salary report for selected analytical job titles
9. Are we detailed-oriented or do we think "big picture", or both?
10. Why you should stay away from the stock market
11. Gartner Executive Programs' Worldwide Survey of More Than 2,300 CIOs
12. Analysts Explore Cloud Analytics at Gartner Business Intelligence Summit 2012
13. One Third of Organizations Plan to Use Cloud Offerings to Augment BI Capabilities
14. Twenty Questions about Big Data and Data Sciences
15. Interview with Drew Rockwell, CEO of Lavastorm
16. Can we use data science to measure distances to stars?
17. Eighteen questions about real time analytics
18. Can any data structure be represented by one-dimensional arrays?
19. Data visualization: example of a great, interactive chart
20. Data science jobs not requiring human interactions
21. Featured Data Scientist: Vincent Granville, Analytic Entrepreneur
22. Healthcare fraud detection still uses cave-man data mining techniques
23. Why are spam detection algorithms so terrible?
24. What is a Data Scientist?
25. Twenty seven types of data scientists:  where do you fit?

Part III - Data Science Resources

1. Vincent’s list
2. History of 24 analytic companies over the last 30 years
3. Fifteen great data science articles from influential news outlets
4. List of publicly traded analytic companies
5. Thirty unusual applications of data sciences, analytics and big data
6. 50 unusual ways analytics are used to make our lives better
7. Berkeley course on Data Science

Advanced Analytics/Data Mining Consultant - Blacklight (Austin, TX)

Fast growing consulting company in Austin, Texas has an opening for a Senior Consultant to join the Advanced Analytics team. We work with customers to solve hard, data intensive problems. Our work includes predictive analytics, fraud detection, and optimization projects for a client base consisting of software companies and Fortune 1000 clients.

We are seeking a consultant who can join our team and work directly with our clients on active projects. The ideal candidate has the following qualifications and skills:

• Masters in Computer Science, Math, Statistics, or similar field of study
• Strong software development skills, BI experience and data architecture experience a huge plus
• Experience with software packages such as SAS, R, Rapid Miner, SPSS, etc
• Familiarity with CRISP-DM, PMML
• Machine learning experience
• Previous client facing consulting experience

http://www.datashaping.com/jobs18491x.shtml

Analytics Director, Market Research (Cincinnati, OH)

Base $125k -$140k + 24% bonus Reports to Group Director, Retail Analytics Local candidates only; must be US Citizen, PR or Green Card Holder

Corporation owns and operates the world's largest, transaction-level, shopper-data warehouse- powering media networks to intelligently connect CPG, health care, and retailer marketers with specific audiences. .

Summary

The Analytics Director is within Analytical Services - Consumer Insights/ Targeting/Testing and is responsible for managing analytical support within regional office, working closely with Sales VP's to provide support to key clients to acquire and maintain business and to identify key client issues and address them with analytical solutions. This role is 50% client facing (going on client sales calls with Acct Mgt); 50% hands-on data mining.

RESPONSIBILITIES: This position is responsible for conducting sophistical quantitative analyses of the impact of previous Marketing events as well as for identifying future opportunities to leverage the Corporation network and going on external client facing calls with Exec Dir of Business Development.

• Work with VP, Executive Directors, and Directors of Business Development to build relationships with Brand Management and Market Research.
• Coordinate the analysis of Firms' events by ensuring that third parties use the correct analytical methodology with the use of program information provided by Firm.
• Identify for external and internal customers the opportunities that exist on the Firm network of stores utilizing both store and household level data.
• Work with and train VP, Executive Directors, and Directors of Business Development on the benefits of proper program design and how it relates to volumetric impact in analysis. Train on how to present and position information in the sale of Firm promotions.
• Utilize data from firm's transactional and household databases to develop presentations for clients that provide business insights and evaluation of promotional events.
• Work with corporate technical staff in the development of new analytical products. Make recommendations for new ways of utilizing Firm's internal databases.
• Manage staff - hire, train, appraise performance, make salary recommendations as role evolves.

QUALIFICATIONS:

• Bachelor's degree required. Advanced degrees in relevant areas of focus a major plus.
• 7-10 yrs of experience with at least 3 years retail analytical experience or CRM in an analytical capacity including methods including linear regression, predictive modeling, cluster analysis, and the design and analysis of controlled experiments.
• Proficient in the use of IRI/ACNielsen data to analyze promotional events and product trends
• Strong presentation and client-facing skills.
• Expert hands-on experience in statistics, modeling and segmentation. Expertise in the professional use of at least 2 stat sw pkgs- SAS, SPSS, STATA. Advanced use of SAS highly preferred. Ability to extract data from a lg data warehouse using SQL. Experience in a large scale, big data environment. Proficient in Microsoft Office software.
• Customer Focus (customer orientation; responsiveness; relationship building; explain complex methods; maintain integrity while meeting customer needs)
• Retail/CPG experience in an analytical capacity required - marketing mix analysis, consumer behavior analysis, syndicated data sources, traditionally accepted measures
• Background Ck and drug screening conducted

http://www.datashaping.com/jobs18491x.shtml

Senior Biostatistician - StatWorks (Research Triangle Park, NC)

StatWorks, Inc. is a high quality specialty provider of biostatistical analysis and consulting, clinical data management, and report writing services focused exclusively on clinical trials and drug development. We are looking to grow our team of talented and experienced professionals by seeking a Senior Biostatistician.

The Senior Biostatistician will provide biostatistical and other technical support to the design and analysis of clinical studies.

Responsibilities:

• Assists the project team with designing clinical studies to evaluate the safety and effectiveness of health care products. Activities include protocol development, definitions of endpoints, sample size estimation, plans for data analysis, and case report form design.
• Assists with study implementation, which may include randomization scheme generation; and data base design through CRF design, variable name assignments and edit specifications.
• Develops detailed analysis plans, oversees or conducts these analyses, and provides statistical interpretation of results.
• Determines reporting requirements for clinical studies and, with the Programmer, designs appropriate reporting systems in SAS or other appropriate software. Writes programs, primarily in SAS, to produce these clinical reports. Reports include tables and graphs summarizing descriptive and inferential statistical analysis of clinical study results, or data management reports.
• Drafts text for inclusion in documents including protocols and study reports.
• Communicates with client and other project team members’ regarding project-related, technical matters.
• Assist with data base management, as required.
• Manage preparation of entire products – such as clinical protocols, clinical/statistical reports, or regulatory submissions – consistent with individual capabilities.
• Review documents for appropriateness of employed statistical methods.

Education / Experience Required:

Master's degree in biostatistics, statistics, epidemiology or in a life science with strong biostatistics background, or Bachelor’s degrees in biostatistics with a minimum of 5 years of applied statistics in clinical trials or equivalent combination of education and experience that provide the skills and knowledge necessary to perform the job. SAS programming experience is required. Experience in clinical data, health research, technical writing experience, data management and statistical analysis is a plus.

http://www.datashaping.com/jobs18490x.shtml

Sr SAS Programmer (Research Triangle Park, NC)

StatWorks, Inc is a high quality specialty provider of biostatistical analysis and consulting, clinical data management, and report writing services focused exclusively on clinical trials and drug development. We are looking to grow our team of talented and experienced professionals by seeking a Senior SAS Programmer.

The Senior SAS Programmer will provide computer programming and quality control support for data management and statistical analysis of clinical research data for a growing Clinical Research firm.

Responsibilities:

• Performs necessary quality control reviews of project results to verify accuracy prior to delivery to client.
• Performs quality control reviews of own work before forwarding on to other team members.
• Provide statistical programming support for projects. This includes data management programming, database manipulation such as analysis files construction and integrated databases, external file management, statistical summary tables and figures programming, data listing and patient profile production.
• Communicates with Project Lead and other team members regarding status and deadlines of programming tasks.
• Provides input from a programming perspective in planning for database design and/or analysis.
• Documents all programs and procedures to ensure an accurate historical record of work completed on assigned project.
• May write programming specifications for analysis files, tables, data listings, and patient profiles.
• Act as a technical resource for programming development.
• Write and maintain project macros to increase efficiency of project work.
• Provide programming and procedure training to less experienced employees.

Education / Experience Required:

Four-year degree in scientific discipline with related computer coursework. A minimum of 5 years of SAS programming experience in a professional environment is required or equivalent combination of education and experience that provide the skills and knowledge necessary to perform the job. General knowledge of computer hardware and software, quality control, and experience with clinical data or health research is required.

http://www.datashaping.com/jobs18489x.shtml

Business Intelligence Analyst - Burbery (NY, NY)

COMPANY: BURBERRY - LARGE LUXURY RETAIL COMPANY WITH HQ IN UK. POSITION: BUSINESS INTELLIGENCE ANALYST LOCATION: NEW YORK DEPARTMENT: STRATEGIC PLANNING

The Brand

Founded in 1856, Burberry is a luxury brand with a distinctive British sensibility and strong international recognition. Headquartered in London and listed on the London Stock Exchange Burberry continues to create new opportunities for growth and development. The Role

• Own & oversee all aspects of business intelligence (data collection, date integrity, systems, data analysis) relevant to business
• Provide useful insights gained from analytics to the decision making process, to drive execution and business optimization
• Develop expert knowledge of all internal data collection software & business intelligence solutions, issues & challenges
• Develop close working relationship with various functions handling business & customer data
• Using Statistical analysis & Data mining tools perform demographic analysis, customer information analysis and business information analysis to identify business patterns, market gaps & opportunities
• Create reports to provide valuable, relevant business insights and analytics to various departments
• Periodic presentations to senior management of analysis, insights and solutions

The Person

• Candidates must have 3-5 years experience with data mining / quantitative analysis in a corporate or professional (government, non-profit)
• Experience with some Statistical / Analytical Software (SPSS, STADA, SAS) is a must
• Ideal candidate would have intermediate to expert knowledge of ArcGIS Business Analyst, and some experience applying ArcGIS in a corporate or any professional setting
• Academic degrees in Statistics / Quantitative methods from top Universities is a plus
• Knowledge/experience with retail business (real estate, merchandising, finance, etc) is a major plus
• Self-starter with a lot of energy
• Strong communication skills
• Team player that can work with diverse groups of people
• Passion for new technologies & software
• Creative and analytical thinking abilities
• STATA and/or SPSS
• SAS
• ArcGIS Business Analyst
• Multivariate Analysis / Regression Analysis
• Microsoft Office
• Experience / comfort working with large sets of data

http://www.datashaping.com/jobs18481x.shtml

Senior Statistician - AstraZeneca (Waltham, MA)

AstraZeneca is a major international healthcare business engaged in the research, development, manufacture and marketing of prescription pharmaceuticals and the supply of healthcare services. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we’re proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives - and are made to feel valued, energized and rewarded for their ideas and creativity.

AstraZeneca is currently recruiting for a Senior Statistician in our Waltham, MA R&D location.

This position will be joining AstraZeneca's Discovery Statistics group, which works through partnership with a diverse global customer base. The group is actively focused on delivering significant scientific and business benefit through creative statistical solutions to a wide range of problems. Our statistical input helps to exploit the maximum value from research experiments by improving the quality of data generated and the interpretation of results, whilst reducing costs, saving time and contributing to portfolio diversity.

We have initiated a major strategic investment and are now driving forward to build this capability by recruiting ten statisticians globally over 2009 and 2010. We believe we are unparalleled amongst our competitors in developing Discovery Statistics to this level. This, combined with our long-term commitment to the area and our proactive approach to customers, makes these roles industry leading, offering new and varied challenges and opportunities to work both independently and collaboratively across a wide variety of disciplines.

We are currently recruiting to fill one key position at our US site in Boston. We are searching for qualified statisticians with strong technical capability and experience in delivering statistical impact. Well-developed communication, consultancy and influencing skills are considered an additional qualification for these roles.

You will work closely with the Bioscience Department which is responsible for identifying, validating and proposing new drug targets followed by carrying out all the relevant in vitro and in vivo testing of drug substances up to candidate drug nomination in cancer and infection disease.

Responsibilities

Reporting to an Associate Director for Discovery Statistics, successful candidates will have primary responsibility for the delivery of statistical input into project teams, identifying and addressing key issues, opportunities and priorities for statistical input, and influencing the implementation of statistical approaches within project workflows. You will also be responsible for the delivery and roll-out of key Discovery Statistics initiatives.

Highly developed communication and influencing skills will be key as the role will involve frequent interactions with other scientists and managers at all levels within the business, e.g. around planning of scientific experiments and statistical analysis of data from both in vivo and in vitro studies.

You will be an important part of a global statistics network, sharing experiences and best practice, working with a global resourcing model and potentially coaching more junior statisticians. An ability to work both independently and as an integral part of the wider statistics team is key to success.

Requirements

• MS in Statistics.
• Subsequent experience in a relevant role.
• Proven technical capability.
• Proven track record in providing statistical input to deliver business impact.
• Experienced user of at least one mainstream statistical package (eg SAS, R or S-Plus).

http://www.datashaping.com/jobs18474x.shtml

Staff Risk Analyst, Forecasting - CashEdge (Sunnyvale, CA)

Company: CashEdge Inc. is a leading provider of technology infrastructure for financial institutions ranging from the largest global Financial Institutions to smaller credit unions and investment advisors. CashEdge’s technology enables inter-institution money movement, person to person email payments, instant online account opening and funding and risk management services, processing $50 billion a year. CashEdge also provides account aggregation for both retail end users and investment advisors. CashEdge supports both fully hosted ASP applications and tightly integrated XML API implementations.

CashEdge serves over 175 financial institutions in North America including such leading institutions as Citibank, Royal Bank of Canada and The Vanguard Group. Our POP product allows the transfer of money from your cell phone or email to third parties. Among financial companies, we rank as the sixth largest by the number of web pages served per day.

CashEdge is an exciting, profitable company with offices in California, New York City and India. It is a private company funded by leading venture firms and financial institutions. You may visit our website at www.cashedge.com.

Location: Sunnyvale, California

Reporting To: Director of Risk Analytics and Policy (Greg Makowski)

http://www.datashaping.com/jobs18473x.shtml

Analytics Consultant - Marketing Analytics (Evanston, IL)

Marketing Analytics, Inc. seeks Analytics Consultants for Evanston, IL location. Master’s req’d. Education or exp must include: predictive modeling, marketing optimization, regression analysis, SAS, CPLEX.

Marketing Analytics Inc. is a leader in marketing effectiveness consulting and tools. For 19 years, we’ve helped clients improve their business through data-based marketing. Our Consulting Services group has an open, full-time position in the northern Chicago suburbs for a Consultant. Will develop marketing mix and other statistical models, and consult to Fortune 500 senior and mid-level management on their use and interpretation to quantify what drives sales and use the results to increase market share, revenue, and profit. Responsibilities:

• Understand client needs for quantitative analysis of marketing effectiveness
• Develop and test model specifications to meet client needs
• Write SAS code to read input data and present results in business meaningful formats
• Develop PowerPoint decks that report results and provide advice, and present to client
• Use library of company code and presentation templates to assist with all phases of project (data readers, model specifications, automated modeling tools, websites, etc.)
• Advise Software Engineering on refinement of software and web services tools

http://www.datashaping.com/jobs18472x.shtml

Advanced Analytics Engineer - Netezza (Cambridge, MA)

Primary Objective:

Provide pre-sales technical expertise and product knowledge in the area of advanced analytics (products including SAS, R, SPSS, S+, and others) to assist in Netezza sales efforts and partnering activities.

Accountability/Scope (range of responsibilities):

Specialist would support field sales in engagements where advanced analytics will be utilized or is a key to the sales cycle. Also would provide corporate based resources with hands-on knowledge of customer requirements and current technology trends.

Essential Functions/Major Responsibilities:

Work with various Netezza account teams to provide technical sales support in sales/product presentations, product positioning, product demonstration, and implementation. Serve as the corporate product specialist and functional expert for a wide range of analytic tools that interoperate with Netezza. Build proof-of-concept analytic applications based on customer requirements to demonstrate feasibility of the application, often requiring rapid prototyping. Provide advanced analytics product evaluation support, product installation, application prototyping and benchmarks, often times in conjunction with a technology partner.

Skills Required:

• Knowledge of leading-edge statistical and quantitative analytical methods and experience with statistical analysis tools such as SAS, SPSS, S+, and R...

http://www.datashaping.com/jobs18466x.shtml

Data Mining Expert, Online Advertising - Resonate Networks (Reston, VA)

Resonate Networks, a data driven and rapidly growing online advertising company, is seeking a highly talented, creative and motivated Data Mining expert. This person will be responsible for analyzing Resonate’s many data sources that include online browsing behavior, search terms, online and offline purchasing, campaign performance and survey responses, in order to enhance Resonate’s unique online ad targeting algorithms. We are looking for someone who enjoys the challenge of a fast-paced start-up environment, likes to break innovative new ground, and possesses a proven ability to balance theory with pragmatic problem solving skills.

Key Responsibilities

• Build predictive models from Resonate’s multiple data sources, develop advanced algorithms that extract and classify information from large, noisy, unstructured datasets
• Create adaptive models that generate high-value data elements (e.g., performance predictions, behavior classifiers) for inclusion in Resonate’s online display and video campaigns
• Design and Implement a platform for cleansing, harmonizing, classifying, matching and merging data sources
• Develop information extraction and text classification algorithms for extracting data from unstructured text
• ...

http://www.datashaping.com/jobs18465x.shtml

Risk Management, Risk Analysis - Citi (NY, New York)

Get the inside track with a global, industry-leading organization! Citi is now looking to pre-identify people whose skills and experiences may be a strong fit for positions we may potentially look to open in the near future. We'd like to get to know you and start building that relationship now.

At Citi, we offer the challenge, responsibility, and global perspective of a career in financial services. With industry-leading advanced technology and a strong worldwide presence we have a comprehensive global infrastructure that none of our competitors can match. And the depth of our experience across geographies and markets allows us to develop complex, innovative solutions that our customers just can't get anyplace else.

Business and Technical Requirements:

• 5+ years of experience in project management or business/functional role involving significant project management responsibility.
• With 3+ years hands-on quantitative analysis & statistical modeling experience.
• Degree in Quantitative Fields such as Statistics, Econometrics, Business Finance, Or Mathematics (Masters or PHD preferred).
• First-hand knowledge and experience working with segmentation, optimization and similar data driven business solutions...

http://www.datashaping.com/jobs18464x.shtml

Statistical Professionals - Takeda (US, US)

Takeda has built a solid foundation on successful products, principles, people, and research. We currently have the following positions available:

• Statistician/Senior Statistician
• Statistician/Senior Statistician – Safety Statistics
• Senior Statistician/Project Statistician
• Manager, Statistics/Senior Manager, Statistics

At minimum these roles require:

• Ph.D. in statistics or biostatistics or equivalent or MS in statistics or biostatistics or equivalent with minimum of 2 years of relevant experience.
• Knowledge of clinical study designs, common analysis methods, descriptive and differential statistics, summarization of data and presentation practices...

http://www.datashaping.com/jobs18463x.shtml

Director, Decision Science - E Trade (Jersey City, NJ)

Professional Area: Marketing Internal Code: IRC27058

Company Overview

In 1983, the first online trade was placed using early E*TRADE technology. Today, E*TRADE FINANCIAL is a global financial leader, delivering value and innovation to millions of customers in more than 40 countries worldwide.

We are looking for highly energized, dynamic professionals who are ready to join a fast-paced, world leader in the financial services industry. We move at the speed of the Internet. Our work culture fosters an incredible exposure to innovative ideas and challenges that create experience and opportunity. Many have risen through the organization to become industry leaders, in both the financial services world and in the community at large. E*TRADE is made up of some of the brightest and most talented people in the industry - are you ready to join the industry leader?

Job Description

The Director, Decision Science is responsible for managing a team in developing and operationalizing analytical strategies for customer acquisition, retention and engagement. Implementation of these strategies will include, but not be limited to, online display, paid search, direct mail, email, etrade.com, customer service and sales. Team leverages complex predictive models using cutting edge techniques in statistics, econometrics and/or computer science to forecast product preference, response behavior, and usage pattern of existing and prospective customers as well as creating metrics to track and measure effectiveness of predictive models.

http://www.datashaping.com/jobs18453x.shtml

Director of Analytics - KnowledgeBase Marketing (Richardson, TX)

General Description: The position of Director of Analytics is responsible for the management of large and complex analytics accounts. Management of these accounts may be done either through individual effort or through the management of other personnel and resources. The Director of Analytics will have some responsibility for business development, most often as a contributing team member or through the growth of existing relationships.

Essential Functions / Responsibilities:

In this role s/he will perform and manage extensive and highly sophisticated analysis of client data using multivariate statistical techniques or digital analytics to build analytic solutions for predicting and optimizing customer behavior and business profitability. Manage significant client interaction

• Mentor statistical consultants/digital analysts/business analysts
• Develop project plans, including scope definition, timelines, and deliverables
• Manage expectations of both internal and external personnel
• Serve as project lead on multiple engagements
• Consult with clients and internal account teams on analytical issues, such as predictive modeling, segmentation, experimental design, LTV, web analytics/optimization and program evaluation...

http://www.datashaping.com/jobs18451x.shtml

Executive Director, Hotel Revenue Analytics - MGM Resorts International (Las Vegas, NV)

JOB DESCRIPTION:

It is the primary responsibility of the Executive Director of Business Insights – Revenue Management to contribute to the success of the Company by providing critical strategic, tactical and operational recommendations that support the Company’s decision making process as it relates to revenue management initiatives. Specifically, he/she is responsible for directing and managing the reporting, analytics and predictive modeling for the revenue management team, and executes the strategy defined by the executive leadership team. All duties are to be performed in accordance with departmental and MGM Resorts International policies, practices, and procedures.

Specific Job Functions:

• Direct a staff of two or more revenue analysts.
• Provide analytical data insights and recommendations for revenue management strategies that enable strong financial growth.
• Establish metrics and processes for the tracking, measurement, reporting and analyses of all critical market information....

http://www.datashaping.com/jobs18446x.shtml

Sr SAS Programmer / Sr Data Analyst - Synchrony Solutions (Los Angeles, CA)

Description Position will support the development of databases which support complex market research studies conducted on behalf of our clients. We are looking for a candidate who has a passion for data development and data integrity. We are looking for someone who has the following characteristics:

• Strong project management and communication skills
• Strong experience working with large databases
• Responsible, accountable and detail-oriented
• Feels comfortable working in a small, fast-growing and innovative environment
• Has an interest in marketing, market research and marketing data
• Has a long-term interest in development as a database developer or marketing analytics professional

Role: This position will report to the ETL Manager and will work with a team of database developers in the Data Department. On project, the senior data analyst will work with a senior project manager, statisticians and other database developers...

http://www.datashaping.com/jobs18443x.shtml

Sr Research Analyst - Wellpoint (Wilmington, DE)

HealthCore, Inc., a health services research firm headquartered in Wilmington, DE, is seeking a Research Analyst or Senior Research Analyst with experience in epidemiology and biostatistics to join our dynamic company. Founded in 1996, and now an independently-operating subsidiary of WellPoint, Inc., HealthCore provides the health care system, biopharmaceutical industry, academia, and the Federal Government with "real-world" data to improve the quality, safety, and affordability of healthcare. HealthCores projects range from retrospective to large-scale, prospective studies in the areas of drug, vaccine, and medical device safety surveillance, risk management, pharmacoepidemiology, health outcomes, pharmaeconomics, and comparative effectiveness research. We are currently seeking a Research Analyst or Senior Research Analyst for the Safety and Epidemiology Service Team to work in our Wilmington, DE or Andover, MA or new in autumn in Washington DC area.. The Research Analyst or Senior Research Analyst will collaborate with the research team, including clinicians, epidemiologists, biostatisticians, programmers, and others to conduct safety and risk management research projects for the pharmaceutical, biotech and device manufacturers line of business. Responsibilities vary with the positions and include:

• Performing safety surveillance, risk management, and pharmacoepidemiology research activities under the direction of senior staff;
• Supporting research activities in statistical analyses, statistical expertise, reporting and communication of results;
• Contributing to the development of proposals, protocols, and statistical analysis plans;
• Conducting review of administrative claims data and statistical output to ensure accuracy of results;
• Performing project management, with a focus on timeline and budget adherence;
• Mentoring Research Analysts on service team.

Qualifications This position requires a masters or doctoral level degree or relevant education and/or equivalent training in health services research, epidemiology, biostatistics, or a related field. Experience with advanced statistical techniques, such as propensity score matching, marginal structural models, spatial analysis, survival analysis, and/or signal detection techniques preferred. Strong study design, analytic skills, and proficiency in programming with one or more statistical applications (SAS, Stata) are required. Experience with health plan administrative databases (pharmacy and medical claims) is a plus. In addition to a dynamic work environment, HealthCore offers...

http://www.datashaping.com/jobs18424x.shtml

Manager, Program Management Statistical Analysis - Asurion (Nashville, TN)

This role will lead the detailed statistical analysis of subscriber claims behavior. The insight from this analysis will be used to drive decisions on pricing, program design and financial planning. In order to do this, the position will create and statistically analyze large data sets of internal and external data and communicate the results across the organization in a way that drives the organization to action.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Develop analytic programming and manipulate and analyze large datasets using advanced statistical software packages and advanced analytic features of Access and Excel
• Work across various business units to build large-scale, multi-variable databases
• Identify statistical analysis techniques (e.g. cluster analysis, time series, multi-variable regression, etc.) required to deliver insight on key strategic questions
• Support interpretation of statistical data in order to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research. Report results of statistical analyses in the form of graphs, charts, and tables.
• Summarize written findings, publicize results, and participate and share with senior leadership as appropriate
• Advance the use of complex analytical techniques and statistical thinking across Program Management
• Execute project plans/ timelines, identify resource requirements and manage project to deliver high quality output
• Own and optimize existing statistical models (e.g., incidence rate forecast) to drive meaningful increases in program profitability
• Serve as an active participant on cross-functional project teams and provide guidance and training to teams in asking appropriate questions, interpreting data, and translating into action
• Anticipate data and information needs and integrate into operational programs/plans.
• Provide leadership in the identification and description of data elements and data files/tables required to complete assigned projects and make recommendations regarding the creation of analytical reports to achieve client, program, and business objectives

PROFESSIONAL COMPENTENCIES:

• Strong quantitative and analytical skills
• Demonstrated ability to build complex statistical models needed to understand issues at a detail level and forecast impacts of change
• Ability to communicate complex statistical concepts and output to non-experts in both a written and verbal manner
• Exceptional business insight and strategic orientation
• Critical thinking skills in formulating hypotheses, interpreting results, and being able to make educated guesses when data may be sparse or unavailable
• Intellectual curiosity and ability to handle high levels of ambiguity
• Ability to work under pressure and within tight deadlines
• Ability to anticipate problems and opportunities and the initiative to pursue solutions
• Attention to detail

QUALIFICATIONS

EDUCATION AND EXPERIENCE:

A Bachelor’s Degree in a mathematical field such as Statistics, Operations Research, Actuarial Science or Applied Mathematics is required for this position. A Masters Degree or PhD is preferred. It is also required to have 3 to 7 years of related experiences.

TECHNICAL SKILLS:...

http://www.datashaping.com/jobs18426x.shtml

Lead SAS Analyst, Credit/Fraud & ScoreCard (Telecommute, US)

Headquartered in Wichita Kansas, Client is a rapidly growing provider of consumer financial services. Since opening their first store in 1997 in Riverside, California, they have successfully expanded to nine states and eighty-two retail locations. Client is currently the leading small short term lender in the brick and mortar store market place in terms of top line revenue and bottom line profitability. In the last 12 months Client has also developed and is rapidly expanding an online loan businesses with intentions of achieving superior market share in this space in the next 24 months.

This role will assist the Director Analyst developing, implementing and monitoring loan approval models that will result in increased acceptance rates and lower default rates of our various consumer loan products. The objective of the role will ensure development, implementation, monitoring of client’s credit risk strategies to help manage and grow the loan portfolio by optimizing values of each loan application and customer. The business operates in “test and learn” culture, where for each of our key credit risk decisions you will assist the new Director Analyst to help develop challenger strategies, rolling out successful strategies to champion status, pulling unsuccessful ones quickly and helping develop new challengers.

To help realize the client’s objectives, this Lead Analyst role will have a vital part to play. The role will be challenging on the Credit side of scorecard development, but also, rewarding from being mentored by the Director Analyst to fully support deliverables to individual business units’ Risk Data Management teams, with the aim to make all risks transparent and understood. Various responsibilities starting in Business and Finance and ending in Information Technology. Assist in the Start Up, Launch, and, Enhancements of new product development to meet loan regulatory and compliance requirements for new Internet Lending Practice. Web originated loan underwriting will be an eLoan / Web 2.0 consumer lending product. Work extensively with client’s Lead Credit Analyst, to assist in their own critical Credit ScoreCard development - From Chief Internet Officer’s desk : ...

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Systems Engineer Analytics, SAS, S+, R, SPSS (Boston, MA)

Provide pre-sales technical expertise and product knowledge in the area of advanced analytics (products including SAS, R, SPSS, S+, and others) to assist sales efforts and partnering activities.

Responsibilities:

• Specialist would support field sales in engagements where advanced analytics will be utilized or is a key to the sales cycle. Also would provide corporate based resources with hands-on knowledge of customer requirements and current technology trends.
• Work with various account teams to provide technical sales support in sales/product presentations, product positioning, product demonstration, and implementation. Serve as the corporate product specialist and functional
• Expert for a wide range of analytic tools that interoperate with our product. Build proof-of-concept analytic applications based on customer requirements to demonstrate feasibility of the application, often requiring rapid prototyping. Provide advanced analytics product evaluation support, product installation, application prototyping and benchmarks, often times in conjunction with a technology partner.

Skills:

• Excellent communication skills and ability to speak to technical and business stakeholders and users
• Solid understanding of support/sales/account management workflow
• Detail-oriented; passion for getting involved with many different products, as well as understanding their form and functionality at a detailed level
• Proven track record of excellent presentation, documentation, and customer interaction skills
• Demonstrated experience in successfully advocating customer needs
• Knowledge of leading-edge statistical and quantitative analytical methods and experience with statistical analysis tools such as SAS, SPSS, S+, and R
• Ability to partner with customers, technology partners, and internal teams to define implementation strategies, review best practices, prototypes, and deliver initial solution implementations
• Experience with parallel database technologies helpful
• Experience implementing advanced analytic applications in a customer and partner environment.

http://www.datashaping.com/jobs18436x.shtml