SM

Software Development Engineer (121889)

Are you excited by the opportunity to change the world? Do you enjoy developing software that will be used by millions of people? Does the idea of bringing advanced technology into the hands of everyfolk motivate you? If so, and you are an experienced software development engineer with a strong background in math, statistics, or data mining we have the place for you.
The SQL Server Data Mining team is looking for the perfect developer to join our team and help us free the power of predictive analytics from the white coats and deliver it to the masses. We are continuing to develop the data mining platform enabling every developer to embed machine learning functionality into their applications, enabling every DBA to leverage data mining to enhance their data assets, and enabling business decision makers to extract knowledge from data without expensive proprietary tools and hard-to-find skill sets.
The developer we are looking for has an advanced degree or equivalent) in mathematics, statistics, or a related field and at least seven years of experience shipping products. Experience with databases, developing API's, and data mining software is a plus.

Akoya, Inc

Job Title: Statistician
FLSA Status: Exempt
Prepared Date: 2005

Position may be located in either the Peoria, IL or Chicago, IL area.

Summary: We are seeking a Statistician who will apply data discovery techniques to large sets of feature, process and purchasing trend data for fortune 100 companies. The analysis will lead to the development of analytical modules that will define relationships which optimize the cost of a family of similar parts.

Akoya is a venture funded, business intelligence software company that delivers packaged analytical applications to large manufactures. The Akoya software enables its customers to better understand their internal information and gain a competitive advantage in their markets. Akoya has been developed as a joint commercialization effort between Arch Development (a Chicago-based venture capital firm), Caterpillar, Inc., and the management team. Akoya's initial product, CostPoint, is a web-based, decision support tool for cost management of direct material parts. The tool was initially developed and tested at Caterpillar and includes world-class, business intelligence technology from one of the premiere Midwest universities.

Essential Duties and Responsibilities include the following:

Investigate appropriate methods and computational algorithms.
Develop methods for modeling and analyzing quantitative data collected during client engagements.
Develop and implement techniques for visualizing and presenting above data and analysis results.
Develop and implement research approaches and methodologies for client’s engagements.
Evolve and validate new and existing research tools.
Apply quantitative and relatively advanced statistical concepts to large datasets.
Design and implement software for the analytic models.
Document methodologies, models and software.
Keep abreast of recent statistical and data mining innovations and trends developed at leading universities.
Publish research for periodicals or press.
Create data extraction and cleaning tools.
Interact with Akoya’s senior management team (COO, CTO, and CSO) on a regular basis. May prepare weekly status report for management highlighting accomplishments and progress as well as issues and concerns that may jeopardize project schedules.

KNOWLEDGE, SKILLS AND ABILITIES:
Excellent verbal and written communication skills.
Confidence and ability to relate professionally to a wide range of individuals.
Strong analysis and decision making ability.
Punctual, responsive, reliable and responsible. Self-motivated and enthusiastic. Rigorous, independent thinker. Strong initiative.
Able to work with minimal supervision and in both an independent and team environment.
Exceptional proficiency with Excel (graphical functions and VBA) a plus.
Able to multi-task and demonstrate strong organizational skills. Possess a commitment to taking tasks through to completion.
Strong background in data analysis a must.
Knowledge of regression and modeling techniques, nonlinear models, optimization algorithms.
Knowledge of multi-dimensional visualization techniques.
Experience with large data analysis project. Experience working with large data sets.
Exposure to predictive models preferred.
Proficiency with mathematical and statistical packages such as R(S+), SAS, Stata, Matlab, or SPSS a must.
Experience using non-commercial data discovery tools developed at universities.
Experience with Java, J2EE, SQL a plus.
Excellent computer programming and data manipulation skills.

Education and/or Experience:

Master's degree in statistics or related field or BS degree statistics or related field and 3-5 years experience.
· Demonstrated ability to manage multiple projects or multiple facets of a large project. Ability to meet stated deadlines.
Past experience in the fields of procurement and engineering is highly desired.
Experience in statistical analysis, data discovery, data mining, and statistical modeling with large data sets.
Proven ability to turn research into working software algorithms.

iProspect.com

Founded in 1996, iProspect® is the Original® Search Engine Marketing Firm, providing highly-customized search engine marketing services to many of the world’s most successful brands. iProspect's mission is to maximize the online marketing return on investment of large organizations — or organizations with extremely large or complex websites — through our suite of full-service search engine marketing solutions. These include natural (or "organic") search engine optimization, paid inclusion management via direct XML feeds, pay per click advertising management via our patent-pending iSEBA™ bidding tool and Web analytics via our customized configuration of WebTrends™ software.We currently have one immediate opening for a Senior Data Miner. This candidate is responsible for researching and developing new data mining algorithms, and extending or adapting existing algorithms, for autonomous agent bidding in on-line auctions. This candidate will be involved with applying data mining techniques and analysis to large datasets. Experience applying and interpreting statistical inference methodologies, decision trees, and other traditional data mining techniques is a must. Experience with large databases, SQL Server or Oracle is a must. The candidate should be able to develop robust and mathematically well-defined solutions to high stakes business problems. The candidate will provide technical leadership in the areas of data analysis, data mining, and statistics and will present results at domestic and international conferences. The candidate will provide an on-going technology assessment of the use of data mining/statistical data analysis and process automation.Qualified candidates will have at least 5+ years of experience applying data mining techniques to real world data and a MS in Computer Science, or another quantitative discipline, with a concentration in data mining. Alternatively, 1 year of experience and a PhD. in Computer Science, or another quantitative discipline, with a concentration in data miningThe candidate must have a proven ability to handle multiple projects or assignments simultaneously and strong communication, logical problem solving skills, and technical writing skills. Self motivated team player.Requirements:• Data mining/ analytical skills •Quantitative analysis in a business environment •Scripting and programming experience such as Java or C#•Database design and interface experience •Matlab or other statistical package. iProspect is the home of powerful and innovative minds who create a supportive and fun environment. We're looking for trailblazers to join iProspect as we pave the way to new frontiers in Internet search, marketing, and technology. When you join iProspect, you join the leader of a cutting-edge industry who is committed to helping you build a dynamic, exciting, and successful future. We respect our employees, and we reward hard work and dedication generously. iProspect offers a competitive base salary commensurate with experience, a generous benefits package, and an enthusiastic and rewarding corporate culture. Please forward a cover letter and resume to jobsiprospect@iprospect.com Resumes without cover letters will not be reviewed. Phone calls will not be accepted.

Appian

Data Analyst Seeking data analyst to join the Data Analysis service group. You will participate in data analysis activities in support of projects conducted in Banking, Manufacturing, and Retail. Typical responsibilities include preparation and quality control of databases; developing, modifying and documenting analytical routines; performing data analysis using spreadsheets and databases; creating graph and report formats, working closely with and under the direction of a Senior Analyst, and other staff; and assisting with interpretation and communication of results.
Experience in the Banking, Manufacturing, or Retail Industries highly beneficial. Experience using software including Excel and Access a must. Experience with SQL, Crystal Reports, SPSS, and SAS very helpful. Requires a Bachelor's or Master's Degree for consideration. Candidates with a degree in Finance, Economics, Statistics, Mathematics, or Computer Science preferred.
Qualified Candidates please forward your resume as text in the email. NO PHONE CALLS! HR@AppianAnalytics.com

Amazon.com

Amazon.com is seeking statistical and data mining analysts at variouslevels. We are interested in recent graduates (at BS, MS, or PhDlevels), and candidates with significant experience. There are anumber of potential positions (particularly at the more junior level),both in the data mining group and the experimental design groups.If you know of strong students who are about to graduate, please letthem know of our positions. Summer internships are also possible. (Read the following as appropriate to your level. A recent BS willnot have many of these skills). In the Data Mining group we are looking for candidates who are strongin S-Plus, SAS, or statistical programming in C or C++. Prowess inexploratory data analysis, sampling, transformations and manipulation,SQL, experimental design, multivariate statistics, and data miningtool suites (suitable examples might include Clementine, Datasage,Enterprise Miner, Intelligent Miner, Neovista, or SPSSNeural Connections) will significantly increase likelihood ofacceptance. Focus on satisfaction of both external and internalcustomers, ability to work as part of a dynamic and highly visibleteam, and enthusiasm for teaching statistical concepts tononstatisticians are absolutely required. B.S. in stronglyquantitative field is required. Compensation includes stock options. In the first instance, please send your resume and cover letter in thebody of an e-mail message in plain ASCII-text format, to MichaelMeyer, meyer@amazon.com. (No Word documents, please) The designed experiments group has a position (advertised on the ASAJob pages) for .... The Statistical Analyst will lead the effective use of statisticalmethods to improve customer experience at Amazon.com. Strongbackground and experience in applied statistics and experimentaldesign are required. SAS, Perl, UNIX, and database experience arehighly preferred. Strong communication skills, individual initiativeand adaptability to change are a must. Compensation includes stockoptions. Email resumes to Peter Morse at pmorse@amazon.com or fax to206.266.1804

Yahoo!

Position: Software Engineer/ Sr. Software Engineer- Data Mining (req# *1033) Location: Sunnyvale, CA Web: www.yahoo.com
Each day Yahoo! collects approximately ten terabytes of data- more than the entire Library of Congress. We analyze this data and act on it to constantly better our user experience, while building the world’s best consumer-centric data platform.
Strategic Data Solutions (SDS) is looking for outstanding individuals for a variety of positions. SDS’ mission is to create value to consumers and marketers by delivering a consumer-centric data platform and insights services that maximize user engagement and enable innovative marketing solutions.
Software Engineer/ Sr. Software Engineer- Data Mining (req# *1033)
Candidates should have:
Strong CS/Software Development background
Good grasp of S/W product architecture
Most important skills:
C++ and scripting language abilities
Expertise in large-scale data processing, DB development, or high-performance computing
Some previous experience with data mining, scientific computing, algorithm development, or similar field is most helpful.
Contact:
Please send resumes with req# *1033 to Tina Duccini, tduccini@yahoo-inc.com

Yahoo!

Position: Data Mining Engineer (req# *9055) Location: Sunnyvale, CA Web: www.yahoo.com
Each day Yahoo! collects approximately ten terabytes of data- more than the entire Library of Congress. We analyze this data and act on it to constantly better our user experience, while building the world’s best consumer-centric data platform.
Strategic Data Solutions (SDS) is looking for outstanding individuals for a variety of positions. SDS’ mission is to create value to consumers and marketers by delivering a consumer-centric data platform and insights services that maximize user engagement and enable innovative marketing solutions.
Data Mining Engineer (req # *9055)
We are looking for a highly motivated and experienced Data Mining engineer to help develop algorithms and software systems to unveil the value of Yahoo's tremendous amount of data (> trillion bytes).
The candidate should have:
Excellent Data Mining and Machine Learning background; Ph.D. in Computer Science/Data Mining/Artificial Intelligence/Statistics or related field;
Two references from well established Data Mining professionals reflecting on candidate's abilities;
Desire to work with data (vs. to research machine learning algorithms);
Research track or proven record of doing industrial Data Mining;
Ability to develop software systems;
Creativity (this is a must).
The following skills are pluses for the position:
Experiences with Data Mining Tools (SAS, WEKA, SPSS, etc.) and Data Base;
Strong understanding of business;
Ability to present & publish;
WEB Analytics;
Statistics, math, algorithms.
Contact:
Please send resumes with req# 9055 to Tina Duccini, tduccini@yahoo-inc.com

Accenture

Position: Predictive Analytics Manager, Accenture Technology Labs Location: Chicago, IL Web: www.accenture.com/techlabs
Position Summary: Accenture Technology Labs, the technology research and development (R&D) organization within Accenture, turns technology innovation into business results. The Labs create a vision of how technology will shape the future and invent the next wave of cutting-edge business solutions. Working closely with Accenture's global network of specialists, Accenture Technology Labs helps clients innovate for competitive advantage. Accenture Technology Labs are located in Chicago, Illinois and Palo Alto, California.
Accenture Technology Labs is looking for managers to lead consulting engagements and R&D projects that apply predictive analytics technologies to solve our clients' business problems. You will work with individuals from Technology Labs to envision and create applications that use these emerging technologies. You will also work with individuals from Technology Labs and Accenture's consulting practice in proposing and delivering innovative work to our clients. Responsibilities of this position include:
Delivering innovative analytics solutions to clients
Maintaining and expanding client relationships
Spearheading and developing new R&D assets; being a technology evangelist
Leading, coaching, managing and educating junior team members
Applying predictive analytics technologies in new business areas
Job Requirements:
Masters of Science or higher preferred in Mathematics, Statistics, Computer Science, Engineering or related fields
4+ years of experience with data mining, predictive modeling and statistical analysis
Experience with direct application of predictive analytics technologies (machine learning, modeling / simulation, optimization) to implement client-facing solutions. Experience with solutions in supply chain optimization, fraud detection, customer profitability, cost reduction or optimization, demand planning, etc. preferred.
Knowledge of data warehousing and data mining tools, technologies and techniques Experience in designing, building and deploying custom solutions for clients.
Experience in explaining and proposing solutions that involve analytic technologies to customers. Previous sales and delivery experience preferred.
Travel may be required during customer-facing projects. Minimal travel during internal R&D projects.
Contact For consideration, please send a copy of your resume to laura.uselton@accenture.com.

Syncata, a ProQuest Company

Position: Text Mining Positions Available Location: Los Angeles, CA or New Delhi, India Web: www.syncata.com
Syncata is looking for a Software Scientist to join our team and take on the following responsibilities:
Contribute towards development of ProQuest Syncata’s technology in distributed data-mining.
Support deployment of data-mining technology in Automotive and Information and Learning applications
Publish scientific papers based on the conducted research.
The ideal candidate will have the following qualifications:
Self-motivated, team player.
Strong communication and inter-personal skills.
Masters or Doctorate degree in Computer Science, Mathematics, Physics or Statistics with emphasis in Text Mining and Artificial Intelligence
Text mining modeling experience, preferably for real-world business problems in manufacturing/industrial production, like diagnostic procedures, transportation, forecasting, scheduling etc.
Strong conceptual understanding of a range of data mining technologies, including neural networks, decision trees, support vector machines, genetic programming etc.
Algorithm design experience and familiarity with probabilistic machine learning methods.
Proven ability in delivering data mining solutions for real world applications with Automotive experience a plus.
Passion to create and implement solutions that are practical and which can extrapolate research into solutions that make money
Proficiency in Java/C++ , VB, Perl and applications development experience under Windows/Linux environments. MATLAB experience a big plus
Experience with SQL, Oracle and other relational data base methodologies would be a plus.
Founded in 1990, Syncata (a ProQuest Business Solutions company, publicly traded on the NYSE as PQE) is a business consulting and systems integration firm that helps automotive, financial services and healthcare companies improve operational performance and profitability. For over 15 years, Syncata has helped companies achieve results through practical business and technology consulting. Syncata*s global delivery model for systems development and maintenance help companies increase project quality, reduce project cost and speed time to market. Join our growing company today and become part of the ProQuest family of companies. Read more about Syncata at http://www.syncata.com or learn more about ProQuest Business Solutions by visiting http://www.pbs.ProQuest.com/ .
Syncata offers competitive salaries and comprehensive benefits that include 401K matching, Education and Training allowances and above-standard vacation allotments, floating holidays and personal time off.
Contact for more information:
Syncata 2101 Rosecrans Ste#5250 El Segundo, CA 90245
E-mail: recruit@syncata.com

a private, rapidly growing company

Position: Senior Statistician / Data Mining Analyst Location: Seattle, WA
Position Description A private, rapidly growing Seattle-based company has an immediate opening for a senior statistician / data mining analyst. Our company contacts millions of consumers a month and is accumulating vast quantities of rich behavioral response data. In this position, you will be part of an analytics team tasked with mining this store of behavioral data, creating predictive models, and designing and building a data warehouse in support of same. This position will interact with the company's Product Management, Development, Professional Services, Operations, Sales and other groups.
The successful candidate will conduct data mining analyses, build predictive models, and assist in the development of a real-time production scoring capability. Experience in prototyping and implementation of the latest data mining/machine learning/prediction algorithms as well as strong database programming skills are a must.
Primary Responsibilities
Develop, prototype and enhance data mining and predictive modeling algorithms.
Implement and maintain code to support data mining and predictive modeling efforts.
Implement and maintain code for transforming raw transaction data into household/customer level representations (ETL).
Assist in the creation of infrastructure for efficient transfer off-line models to real-time scoring systems.
Monitor live production applications for quality and effectiveness.
Requirements (Experience / Skills) Required:
Advanced degree (PhD preferred) in quantitative field (i.e., Statistics, Engineering, Computer Science, etc.).
Strong scientific programming skills (Java experience a plus).
Strong experience in higher level programming languages and statistics packages (e.g. Matlab, R, S-Plus, SAS).
Strong SQL skills, preferably Oracle.
2-4 years of relevant work experience.
The ability to take initiative and work autonomously while at the same time contributing to team objectives.
Strong written and verbal communication skills.
Preferred:
Experience working with massive data sets
Familiarity with Java
Experience with Design of Experiments
Duration: Full Time or Contract to Hire
Contact: kathythib@gmail.com .

eBay

Position: Statistician Location: San Jose, CA Web: www.ebay.com
Primary Job Responsibilities:
The Statistician, Risk Analytics will report to the International Manager of Risk Analytics, and be dedicated to the conception, design, implementation of data models and reports that predict and prevent prohibited activity on eBay’s website, including fraud and other violations of eBay’s user agreement. These predictive models and reports will become a primary tool used by eBay’s Trust & Safety Investigators in preventing violations, and in disciplining violators (including legal prosecution in some cases). Successful execution of this role will require that the Statistician be an expert in database record manipulation (mainly SAS/SQL) and statistical modeling techniques (logit, decision-tree, neural networks, cluster analysis, etc. using SAS).
The key measure of success will be the degree to which Trust & Safety Investigators are able to reduce fraud and other violations of eBay’s user agreement as a result of better and more proactive data and monitoring.
Summary of responsibilities:
1. Use statistical techniques to design and code predictive models that detect fraud, etc. Iteratively test, refine, and improve the models. In this role, the Statistician will be required to be expert in building predictive, statistically valid models.
2. Generate reporting on performance of models.
3. Manage the day-to-day aspects of systems (SAS, data sources, workflow systems, etc.) to ensure that the modeling and production infrastructure is optimized. In this role, the Statistician will work closely with IT and other data/systems providers (internal and external) to enhance systems, trouble-shoot data issues, etc. The Statistician will focus on international projects and work closely with the Trust and Safety personnel around the global. Candidate fluent in a second language is a plus.
Job Requirements:
Education and/or Relevant Experience Master’s degree in Statistics (PhD a plus) and a minimum of 3-5 years’ work experience in a relevant field, preferably within the Data-Mining, Quantitative Research, or Risk Management Department of a financial institution. Proven ability to build statistical models using SAS, and manage junior SAS modelers/statisticians. Additionally, the candidate must demonstrate high energy/creativity, a passion for analyzing highly complex data sets, a relentless customer-focus, an entrepreneurial spirit, strong interpersonal and communication skills, a deep practical understanding of quantitative methods, and superb attention to detail.
Contact: Meredith Russell, mrussell@ebay.com .

Syncata, a ProQuest Company

Position: Data Mining Software Scientist Location: Los Angeles, CA or New Delhi, India Web: www.syncata.com
Syncata is looking for a Software Scientist to join our team and take on the following responsibilities:
Contribute towards development of ProQuest Syncata’s technology in distributed data-mining.
Support deployment of data-mining technology in Automotive and Information and Learning applications
Publish scientific papers based on the conducted research.
The ideal candidate will have the following qualifications:
Self-motivated, team player.
Strong communication and inter-personal skills.
Masters or Doctorate degree in Computer Science, Mathematics, Physics or Statistics with emphasis in Text Mining and Artificial Intelligence
Text mining modeling experience, preferably for real-world business problems in manufacturing/industrial production, like diagnostic procedures, transportation, forecasting, scheduling etc.
Strong conceptual understanding of a range of data mining technologies, including neural networks, decision trees, support vector machines, genetic programming etc.
Algorithm design experience and familiarity with probabilistic machine learning methods.
Proven ability in delivering data mining solutions for real world applications with Automotive experience a plus.
Passion to create and implement solutions that are practical and which can extrapolate research into solutions that make money
Proficiency in Java/C++ , VB, Perl and applications development experience under Windows/Linux environments. MATLAB experience a big plus
Experience with SQL, Oracle and other relational data base methodologies would be a plus.
Founded in 1990, Syncata (a ProQuest Business Solutions company, publicly traded on the NYSE as PQE) is a business consulting and systems integration firm that helps automotive, financial services and healthcare companies improve operational performance and profitability. For over 15 years, Syncata has helped companies achieve results through practical business and technology consulting. Syncata*s global delivery model for systems development and maintenance help companies increase project quality, reduce project cost and speed time to market. Join our growing company today and become part of the ProQuest family of companies. Read more about Syncata at http://www.syncata.com or learn more about ProQuest Business Solutions by visiting http://www.pbs.ProQuest.com/ .
Syncata offers competitive salaries and comprehensive benefits that include 401K matching, Education and Training allowances and above-standard vacation allotments, floating holidays and personal time off.
Contact for more information:
Syncata 2101 Rosecrans Ste#5250 El Segundo, CA 90245
E-mail: recruit@syncata.com

Dieselpoint, Inc

Position: Software Engineer, Text Mining and Information Retrieval Location: Chicago, Illinois Web: www.dieselpoint.com
Dieselpoint is a Chicago company that develops cutting-edge enterprise search and navigation technology.
Requirements:
Masters in Computer Science, PhD preferred
2+ years non-academic software development experience
Solid knowledge and experience in information retrieval and/or text mining technologies
Solid knowledge of Java and J2EE technologies Individuals who fill this role will have the opportunity to work on a wide variety of search-engine-related technologies.
Information retrieval algorithms for relevance ranking. Develop metrics for measuring relevancy and implement benchmarks. Research, develop, and test new algorithms for discovering a user’s intent.
Text mining and computational linguistics. Research and develop new ways of understanding the structure of text, and how it can improve search results.
Data mining, machine learning, and recommender systems. Develop new ways to exploit the data available in logs and e-commerce system, use it to understand user behavior, and develop new methods of suggesting items of interest.
Spell correction. Research, measure and develop new algorithms for correcting user spelling errors.
Content analysis. Understand the structure of documents and data, and develop lexers, tokenizers, and analyzers for exploiting it.
Classification/categorization. Develop software for classifying documents and data and for performing entity extraction.
Distributed search/distributed algorithms. Develop and implement ways of distributing the computational load when processing very large databases (VLDB).
Faceted navigation. Develop user interfaces to improve the search experience by exploiting the structure inherent in data items. Successful candidates will have experience in more than one, and ideally several, of the areas above.
Contact:
Send resumes to info@dieselpoint.com

Oracle

Position: Data Mining Research Developer Location: Burlington, MA Web: Oracle Data Mining
The Oracle Data Mining Technologies group is responsible for investigating both new and existing data mining techniques and integrating this functionality within the Oracle database engine.DescriptionThis position involves database development incorporating data mining technologies and processes as well as creation of new algorithms and techniques. Work is non-routine and very complex, involving the application of advanced technical/business skills to a variety of problems. Leading contributor individually and as a team member, providing direction and mentoring to others. The position requires solving challenging problems in different domains, more specifically:
Provide technical and scientific expertise in core Data Mining and Knowledge Discovery technologies: Machine Learning, Artificial Intelligence, Multivariate Statistics, and High Performance Computing.
Design, specify, and develop state-of-the-art machine learning/analytical modules for scalable Data Mining engine and applications.
Collaborate with software engineers to integrate these analytical modules into different Oracle products and architectures including the database server.
Represent the company in relevant conferences, workshops, or standard's forums and follow the literature and trends in the academic and commercial communities Some previous projects included:
Creation and implementation of new clustering and classification algorithms as native database technology
Adaptation of existing algorithms (e.g., support vector machines, BLAST, and decision trees) as native database technology
Mining structured, semi-structured (e.g., graphs), and unstructured data
Addressing scalability and parallelization requirements to handle massive datasets
Automation of the data mining process
Expanding the SQL language to natively support data mining
Qualifications
Machine learning or related field background is a MUST
Ph.D. or MS degree in machine learning or related field
Solid software development skills
Experience with time-series, sequence and graph mining is a plus
Experience with bioinformatics is a plus
Ability to adapt to different problem domains and quickly learn new techniques
Competency with C and SQL is desirable
Good communication skills
Self-motivated
How to apply
Applications accepted online only at: irecruitment.oracle.comUse keyword: IRC245959

Quantum Leap Innovations

Position: Knowledge Discovery & Data Mining Software Scientist Location: Newark, DE Web: www.quantumleap.us
Contact: Please send cover letter, resume and salary requirements to: Careers@QuantumLeap.us
Quantum Leap Innovations is looking for a Software Scientist to join our team and take on the following responsibilities:
Contribute towards development of Quantum Leap's technology in distributed data-mining.
Support deployment of data-mining technology in enterprise and government applications.
Publish scientific papers based on the conducted research. The ideal candidate will have the following qualifications:
Advanced degree in Computer Science, Mathematics, Physics, Statistics or related field.
Strong conceptual understanding of a range of data mining technologies, including neural networks, decision trees, support vector machines, genetic programming etc.
Proven ability in delivering data mining solutions for real world applications.
Algorithm design experience and familiarity with probabilistic machine learning methods.
Passion to create and implement new distributed data mining algorithms/architectures that can deal with scalability, missing data, "needles in haystacks", extrapolation and other critical, large scale issues.
Proficiency in Java/C++ and applications development experience under Windows/Linux environments.
Experience with SQL, Oracle and other relational data base methodologies would be a plus.
Self-motivated, team player.
Strong communication and inter-personal skills.
Must be willing to relocate to the Delaware region.
US Citizenship preferred Quantum Leap Innovations: Quantum Leap Innovations is a pioneer in the emerging field of intelligent software. Our software solutions enhance people's ability to make decisions, develop and assemble knowledge. These solutions use AI technologies such as data mining, probabilistic reasoning, optimization, knowledge representation and multi-agent systems to solve the most complex and high value problems facing the Fortune 500 and government agencies -- problems ranging from scheduling, planning, and product definition, to resource allocation and biological discovery.
Quantum Leap provides top of the line benefits including fully funded medical and dental coverage; 401K; stock options; and other benefits such as onsite massage therapy, free soft drinks, juices, etc.; and foosball, bubble hockey and other games in the cafeteria for when you need to recharge. We are located in the Delaware Technology Park adjacent to the University of Delaware, enabling access to teaching, co-authoring and education opportunities. The culture at Quantum Leap is casual and the lines of communication are wide open, from the CEO to the newest intern. Our company has been recognized in the state as one of the best places to work. Quantum Leap is an Equal Opportunity Employer.

Akoya

Position: Statistician Location: Peoria or Chicago, IL Web: http://www.akoyainc.com/

SUMMARY: We are seeking a Statistician who will apply data discovery techniques to large sets of feature, process and purchasing trend data for fortune 100 companies. The analysis will lead to the development of analytical modules that will define relationships which optimize the cost of a family of similar parts.
FLSA Status: Exempt Prepared Date: 2005
Akoya is a venture funded, business intelligence software company that delivers packaged analytical applications to large manufactures. The Akoya software enables its customers to better understand their internal information and gain a competitive advantage in their markets. Akoya has been developed as a joint commercialization effort between Arch Development (a Chicago-based venture capital firm), Caterpillar, Inc., and the management team. Akoya's initial product, CostPoint, is a web-based, decision support tool for cost management of direct material parts. The tool was initially developed and tested at Caterpillar and includes world-class, business intelligence technology from one of the premiere Midwest universities.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:
Investigate appropriate methods and computational algorithms.
Develop methods for modeling and analyzing quantitative data collected during client engagements.
Develop and implement techniques for visualizing and presenting above data and analysis results.
Develop and implement research approaches and methodologies for client's engagements.
Evolve and validate new and existing research tools.
Apply quantitative and relatively advanced statistical concepts to large datasets.
Design and implement software for the analytic models.
Document methodologies, models and software.
Keep abreast of recent statistical and data mining innovations and trends developed at leading universities.
Publish research for periodicals or press.
Create data extraction and cleaning tools.
Interact with Akoya's senior management team (COO, CTO, and CSO) on a regular basis. May prepare weekly status report for management highlighting accomplishments and progress as well as issues and concerns that may jeopardize project schedules.

KNOWLEDGE, SKILLS AND ABILITIES:
Excellent verbal and written communication skills.
Confidence and ability to relate professionally to a wide range of individuals.
Strong analysis and decision making ability.
Punctual, responsive, reliable and responsible. Self-motivated and enthusiastic. Rigorous, independent thinker. Strong initiative.
Able to work with minimal supervision and in both an independent and team environment.
Exceptional proficiency with Excel (graphical functions and VBA) a plus.
Able to multi-task and demonstrate strong organizational skills. Possess a commitment to taking tasks through to completion.
Strong background in data analysis a must.
Knowledge of regression and modeling techniques, nonlinear models, optimization algorithms.
Knowledge of multi-dimensional visualization techniques.
Experience with large data analysis project. Experience working with large data sets.
Exposure to predictive models preferred.
Proficiency with mathematical and statistical packages such as R(S+), SAS, Stata, Matlab, or SPSS a must.
Experience using non-commercial data discovery tools developed at universities.
Experience with Java, J2EE, SQL a plus.
Excellent computer programming and data manipulation skills. EDUCATION AND/OR EXPERIENCE:
Master's degree in statistics or related field or BS degree statistics or related field and 3-5 years experience.
Demonstrated ability to manage multiple projects or multiple facets of a large project. Ability to meet stated deadlines.
Past experience in the fields of procurement and engineering is highly desired.
Experience in statistical analysis, data discovery, data mining, and statistical modeling with large data sets.
Proven ability to turn research into working software algorithms. This position description is intended to be dynamic and subject to change. Position requirements and essential functions may be altered from time to time based upon the needs of the organization and department. This position may be required to execute special projects or other related duties on occasion.
Contact: Denise Kestner, dkestner@sbcglobal.net