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Monday, October 29, 2012
Friday, June 15, 2012
60 articles from the data science eBook
- New random number generator: simple, strong and fast
- Lifetime value of an e-mail blast: much longer than you think
- Two great ideas to create a much better search engine
- Identifying the number of clusters: finally a solution
- Online advertising: a solution to optimize ad relevancy
- Example of architecture for AaaS (Analytics as a Service)
- Why and how to build a data dictionary for big data sets
- Hidden decision trees: a modern scoring methodology
- Scorecards: Logistic, Ridge and Logic Regression
- Iterative Algorithm for Linear Regression
- Approximate Solutions to Linear Regression Problems
- Theorems for Traders
- Preserving metric and score consistency over time and across clients
- Advertising: reach and frequency mathematical formulas
- Real Life Example of Text Mining to Detect Fraudulent Buyers
- Discount optimization problem in retail analytics
- Sales forecasts: how to improve accuracy while simplifying models?
- How could Amazon increase sales by redefining relevancy?
- How to build simple, accurate, data-driven, model-free confidence i...
- Comprehensive list of Excel errors, inaccuracies and use of non-sta...
- 10+ Great Metrics and Strategies for Email Campaign Optimization
- 10+ Great Metrics and Strategies for Fraud Detection
- Case Study: Four different ways to solve a data science problem
- Case Study: Email marketing - analytic tips to boost performance b...
- Optimize keyword campaigns on Google in 7 days: an 11-step procedure
- How do you estimate the proportion of bogus accounts on Facebook?
- Statisticians Have Large Role to Play in Web Analytics (AMSTAT inte...
- Future of Web Analytics: Interview with Dr. Vincent Granville
- Connecting with the Social Analytics Experts
- Interesting note and questions on mathematical patents
- Big data versus smart data: who will win?
- Creativity vs. Analytics: Are These Two Skills Incompatible?
- Barriers to hiring analytic people
- Salary report for selected analytical job titles
- Are we detailed-oriented or do we think "big picture", or both?
- Why you should stay away from the stock market
- Gartner Executive Programs' Worldwide Survey of More Than 2,300 CIOs
- Analysts Explore Cloud Analytics at Gartner Business Intelligence Summit 2012
- One Third of Organizations Plan to Use Cloud Offerings to Augment BI Capabilities
- Twenty Questions about Big Data and Data Sciences
- Interview with Drew Rockwell, CEO of Lavastorm
- Can we use data science to measure distances to stars?
- Eighteen questions about real time analytics
- Can any data structure be represented by one-dimensional arrays?
- Data visualization: example of a great, interactive chart
- Data science jobs not requiring human interactions
- Featured Data Scientist: Vincent Granville, Analytic Entrepreneur
- Healthcare fraud detection still uses cave-man data mining techniques
- Why are spam detection algorithms so terrible?
- What is a Data Scientist?
- Twenty seven types of data scientists: where do you fit?
- Vincent’s list
- History of 24 analytic companies over the last 30 years
- Fifteen great data science articles from influential news outlets
- List of publicly traded analytic companies
- Thirty unusual applications of data sciences, analytics and big data
- 50 unusual ways analytics are used to make our lives better
- Berkeley course on Data Science
Sunday, October 24, 2010
System of interrelated methods in advanced statistics (Palm Beach, FL)
I am working on a personal project that involves machine learning for prediction. I am at a stage that I need to refine the model. I am not a statistician nor do I have a strong background in math. I am however becoming versed in the language very quickly and I am also a master of the data set that I am dealing with. This seems to be a plus in the process so far. The following would be very helpful.
- What software do you have in your possession for these methods
- What certification do you have for the software of choice
- How many years of experience do you have with these methods
- What experience do you have in using these methods to refine predictability
- How efficient are you with your time
- How many other projects are you currently working on
- Would you be able to devote several weeks to this project
- What is you hourly, weekly, monthly rate
Advanced Analytics/Data Mining Consultant - Blacklight (Austin, TX)
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
Analytics Director, Market Research (Cincinnati, OH)
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.
Senior Biostatistician - StatWorks (Research Triangle Park, NC)
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.
Sr SAS Programmer (Research Triangle Park, NC)
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.
Senior Quantitative Research Analyst (Dublin, Ireland)
Irish Life Investment Managers (ILIM), the investment management company within the Irish Life & Permanent Group manages assets of circa €30bn and provides fund management services to a large domestic and multi-national client base. We provide investment products to both institutional and retail clients, offering a full range of products from our value driven active and indexed fund management processes.
We are seeking a Senior Quantitative Research Analyst to support and develop quantitative equity stock selection models.
The Job
He/she will work within the Quantitative Research team and also with portfolio managers in building long/short as well as high frequency equity selection models.
This is a highly exciting and challenging opportunity for the right individual and will be based in Dublin. The ideal candidate will be given the opportunity to help build a range of new active equity models, generate new research ideas, and get involved in portfolio management with the objective of fine tuning models and enhancing performance. There will be further opportunities to develop new strategies across products.
Business Intelligence Analyst - Burbery (NY, NY)
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
Senior Statistician - AstraZeneca (Waltham, MA)
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.
Staff Risk Analyst, Forecasting - CashEdge (Sunnyvale, CA)
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
http://www.datashaping.com/jobs18473x.shtml
Analytics Consultant - Marketing Analytics (Evanston, IL)
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
Data Mining Engineer - RiotGames (Culver City, CA)
The Data Mining Engineer is responsible to the organization for the integrity, availability, and confidentiality of the persistence systems, data, and supporting services. The Data Mining Engineer is the focal point and technical lead for all data stores, databases, database infrastructure, and supporting services.
Requirements
- Experience in designing, implementing, and managing persistent data stores for high-traffic transactional systems.
- Previous experience with "NoSQL" data stores desired
- In-depth knowledge of MySQL, including high-availability design/operation, performance tuning, capacity planning, automated backup and recovery.
- Strong DB schema design, query construction and optimization knowledge
- Demonstrated knowledge of object / relational mapping systems
- Experience horizontally scaling datastores
- Ability to work with and support a team of game development professionals, and design engineers.
- Conceptual knowledge of service-oriented architectures.
- Positive, team-oriented attitude.
- B.S. degree in Computer Science or equivalent experience. Must be legally authorized to work in the US.
- Minimum 6 years experience
Saturday, October 02, 2010
Business Solution Architect, Advanced Analytics - Netezza (Cambridge, MA)
Primary Objective:
Netezza’s Advanced Analytics business unit has plans to accelerate its rapid revenue growth over the next several years through the creation of industry leading and compelling analytic and optimization solutions via partnerships, in-house development and/or acquisition. In order to achieve these objectives we must grow our team with experienced analytics solution strategy, development and field deployment expertise.
Accountability/Scope (range of responsibilities):
This role is responsible for assisting Netezza’s GM & VP of Advanced Analytics in the business strategy, design, development, delivery and management of solutions and sales enablement tools for Netezza’s Advanced Analytics global business unit in order to help rapidly grow this business unit.
Essential Functions/Major Responsibilities:
- Solution strategy, market analysis, revenue planning and competitive analysis
- Solution partner identification, solution packaging, value proposition and messaging...
Advanced Analytics Engineer - Netezza (Cambridge, 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 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....
http://www.datashaping.com/jobs18466x.shtml
Data Mining Expert, Online Advertising - Resonate Networks (Reston, VA)
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..
Risk Management, Risk Analysis - Citi (NY, New York)
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)....
Statistical Professionals - Takeda (US, US)
- Statistician/Senior Statistician
- Statistician/Senior Statistician – Safety Statistics
- Senior Statistician/Project Statistician
- Manager, Statistics/Senior Manager, Statistics
- Ph.D. in statistics or biostatistics or equivalent or MS in statistics or biostatistics or equivalent with minimum of 2 years of relevant experience...
Mathematical, Statistical Engineer - Corning (Corning, NY)
Improving manufacturing capability (e.g. efficiencies, yields, cycle time, and/or material utilization) by identifying and eliminating root cause(s) of variability * Problem solving and/or process improvement using a structured methodical approach and appropriate application of statistics (e.g. Six Sigma) * Evaluating impact on the product/process from new or existing: raw materials, processes, and/or equipment parameters * Evaluating measurement systems to improve quality and/or reduce inspection costs * Designing experiments to identify key process inputs/interactions and impact on product
Day to Day Responsibilities:...
Research Mathematical Statistician - CDC (Atlanta, GA)
The Centers for Disease Control & Prevention (CDC) is the agency Americans trust with their lives. As a global leader in public health, CDC is the nati...
Quantitative Analyst - Waterfront International (Toronto, CA)
Primary Responsibilities:
- Developing, testing and implementing quantitative trading models.
- Models will be based on quantitative data analysis rather than qualitative analysis.
- Research strategies in equities and other markets.
- Perform historical backtesting to determine optimal strategy parameters.
- Generate new indicator ideas...
Data Mining Analyst - Waterfront International (Toronto, CA)
Primary Responsibilities:
- Perform financial market data research and analysis to identify and resolve data issues using advanced data mining techniques.
- Develop proprietary data mining tools and applications.
- Develop predictive models.
Director, Decision Science - E Trade (Jersey City, NJ)
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
Chief Statistician (Huntington, NY)
- Apply/build statistic techniques and models to provide practical and actionable insights into consumer’s purchase and attitudinal behavior.
- Direct the overall operations of a key statistical functional area and provide technical/academic expertise critical to the continuous improvement of an ongoing statistical survey of consumers.
- Lead, direct, and coach a small team of technical professionals
- Manage Key Performance metrics for sample maintenance and resolve all variances through root cause analysis
Executive Director, Hotel Revenue Analytics - MGM Resorts International (Las Vegas, NV)
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:...
Medical Informatics Project Manager, Clinical Systems (New Hyde Park, NY)
You will plan, manage and coordinate activities including the design of predictive analytics and forecasting models in support of data-driven healthcare delivery for departmental processes, clinical outcomes and health policy analysis. You will also drive implementation of clinical and operational workflow plans, and ensure that goals and objectives are met within prescribed time frames and funding parameters.
Requires a Bachelor's Degree in Computer Science, Statistics or related technical field and at least 5 years of progressively responsible experience in statistics, data analysis, statistical computing and programming. Strong project management skills and experience with Microsoft Business Intelligence Suite including SQL Server 2005/2008, IIS, SharePoint and .NET are also required. A Master's degree and knowledge of Radiation Oncology clinical and operational disciplines are preferred.
This is a full time position loca...
Quantitative Analyst - D.E. Shaw (NYC, NY)
“Quants" at the D. E. Shaw group apply mathematical techniques and write software to develop, analyze, and implement statistical models for our computerized financial trading strategies. Keen insight and innovation are imperative for creating solutions for trading profitably in markets around the globe. Specific responsibilities range from examining trading data in an effort to increase profitability, decrease risk, and reduce transaction costs to conceiving new trading ideas and devising the simulations needed to test them.
Successful quant candidates have traditionally been exceptionally talented students at the top of their respective math, physics, engineering, and computer science programs; a considerable number have also competed successfully in the United States and International Math Olympiads as well as the Putnam Competition....
Sr SAS Programmer / Sr Data Analyst - Synchrony Solutions (Los Angeles, CA)
- 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
Research Engineer - Chomp (San Francisco, CA)
We're currently applying topic modeling to app meta data to build a better search experience for users finding apps. That is, being able to search for apps by functionality or topic area as opposed to keyword based on the app title or description. Check out our recent press on MobileBeat.
The company is backed by a number of top tier VCs with a small and exceptional team that consists of folks from successful companies such as Google, YouTube and AdMob. We're looking for the early members of our research engineering team to build a team (rivaling that of Aardvark whom Ben Keighran , Chomp CEO advised, and was subsequently acquired by Google early in 2010) to help develop our recommendation and search engine that would allow consumers to discover apps on these various platforms.
Who we're looking for:...