Role Description. Position of a Data Scientist Machine Learning at Fractal Analytics

Transcription

1 Opportunity to work with leading analytics firm that creates Insights, Impact and Innovation. Role Description Position of a Data Scientist Machine Learning at Fractal Analytics March 2014

2 About the Company Overview Fractal Analytics Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. We are growing quickly around the globe to meet the fastpaced demand for analytics with offices in San Mateo, New Jersey, Toronto, UK, Rome, Singapore, Dubai, Mumbai, and Delhi. Our mission is to help companies move toward higher levels of sophisticated and institutionalized use of analytics. We solve problems, operationalize solutions to drive results, and drive organizations toward fact-based decisioning including. Our analytics solutions are delivered as Global Analytics Partnerships (GAP) or customized analytics programs: 1) Customer Insights and Analytics, 2) Marketing Effectiveness, 3) Business Intelligence, and 4) Pricing Analytics Industry & Clients Recognition Our large enterprise clients are household names in consumer goods, retail, financial services, insurance, technology and telecommunications, and are breaking into entertainment, media, and life sciences. In June 2013, global private equity firm TA Associates acquired a minority stake in Fractal for an investment of $25 million. We ve been on the INC 5000 list twice and USPAACC named us among the fastest 50 growing Indian-American owned private businesses. Our teammates won the innovation analytics award at the 2013 DMA. Information technology and research advisor Gartner named Fractal as one of the top five "Cool Vendors in Analytics, 2013, featured in UK-based analyst, Ovum On the Radar, and other analyst reports by ValueNotes, HFS Research, CIOL and Wikibon. We ve been covered in key business publications including: The Wall Street Journal, Forbes US and India, San Francisco Business Times, Economic Times, Times of India, Hindustan Times, Business Standard, CFO India Magazine, LiveMint, DataInformed, Datanami, CMS Wire, and more. Learn more

3 The Position Position Title Reporting to Location Travel required Associate Director/Senior Consultant Sr. Vice President Mumbai None Position Expectations We are currently hiring Data Scientists Machine Learning at Fractal Sciences. Fractal Sciences is the Big Data management and technology arm at Fractal where we are building proprietary algorithms and analytics consumption platforms. Fractal Sciences also collaborates with the analytics consulting teams to provide analytical solutions to complex business problems. We are building a team of Data Scientists proficient in designing and developing solutions across domains applying machine learning and data mining techniques. Delivering Insight, Impact, Innovation Mentor teams to develop expertise in core ML techniques and create streamlined ML processes and workflows Contribute to Fractal Academy of Analytics & other business-centric or firm-centric initiatives Exhibit thought-leadership internally and externally by publishing academic and white papers, contributing to Fractal s IP, participating in discussion forums and seminars Exhibit Fractal values & contribute by building a positive work environment Contribute to the hiring process by interviewing and structuring data science teams Client Value Creation a. Results orientation Should be able to translate business questions into analytical problems, build focused models, ensure solutions address the question, have tangible impact and are actionable b. Drive service transformation Enhance productivity and efficiencies in data science teams, meet/exceed SLAs, enhance the delivery processes and deployment platforms

4 A strong theoretical and applied background in ML is essential Strong mathematical background with grounding in theoretical frameworks: PAC, VC, Bayesian inferential, decision-theoretic Deep expertise in core ML techniques: data-preprocessing and feature engineering; supervised (classification, regression, regularization for cross-section, time series and spatial data), semi-supervised and unsupervised (clustering, linear methods including adaptive and nonparametric methods; model performance metrics, loss functions and generalization error; ability to adapt models to class imbalance, outliers and other data issues Expertise in at least one current research area in ML: reinforcement learning, deep learning, active learning, kernel methods, online learning, ensemble methods, learning to rank, graph algorithms, probabilistic graphical models, Gaussian processes and functional data analysis, approximate inference, natural language processing or sequential data mining Familiarity with optimization and numerical computing methods Demonstrable interest in large-scale learning, and distributed/parallel implementations of algorithms The Person Qualification & Experience Lead analytics engagements guiding overall analytical sophistication, validating and improving methodology in predictive statistical modeling activities that deliver value to our clients Develop and implement analytical/ml methodologies, processes and solutions that integrate diverse techniques, tools and technologies to generate deeper analytical insights Guide Big Data engineers in implementing PoC solutions in production with due emphasis on scalability, validation, reliability and maintainability, and make appropriate design changes to accommodate these factors Identify and create business opportunities for the development and redesign of data-driven products and solutions Present and project the analytical capability of Fractal to help clients improve their business performance and

5 solve challenging problems Expert-level proficiency in at least one data analysis language: R, Python, Octave/Matlab. Familiarity with lower-level languages such as C/C++ (preferred), Java, F#; the Linux environment and command-line tools; and SQL Familiarity with tools in the Big Data stack, such as Hadoop (especially the MapReduce algorithmic framework), Pig/Hive, HBase/Cassandra; tools for largescale learning such as Mahout, Pattern, Blaze, Neo4j, or Vowpal Wabbit Education MS/PhD in Machine Learning, Artificial Intelligence, Data Mining, Computer Science, Statistics, Applied Mathematics, Operations Research or related quantitative field