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  • Requirements • Programming experience in statistical tools/languages – Python & R • Familiarity with relational databases and intermediate level knowledge of SQL • Ability to work in a global collaborative team environment • Superior problem-solving, analytical, and quantitative skills to creatively solve real world business problems • Candidates for this role should be entrepreneurial and self-starters who enjoy ...

  • - Selecting features, building and optimizing classifiers using machine learning techniques - Data mining using state-of-the-art methods - Enhancing data collection procedures to include information that is relevant for building analytic systems - Processing, cleansing, and verifying

  • - Selecting features, building and optimizing classifiers using machine learning techniques - Data mining using state-of-the-art methods - Enhancing data collection procedures to include information that is relevant for building analytic systems - Processing, cleansing, and verifying

  • decisions should take less time, allocate resources more effectively, incorporate more sources of information, make decisions more transparent, and more explicitly consider alternative courses of action. - Work with business intelligence and product analysts to translate regular work processes like

  • requirements - Provide timely communications on significant issues or developments - Communicate results, findings and observations in clear and concise documents (presentations, reports, technical articles) to peers and program leader in formal/informal reviews - Document technical data generated Qualifications/Requirements: • Candidates should hold a Bachelor's/Master's degree preferably in Statistics ...

  • responsibilities Develop machine learning and analytical techniques for intelligent information retrieval and classification system. Design, develop and deploy highly scalable machine learning models. Work along with software engineers for the model implementations and new feature creations Work closely

  • responsibilities Develop machine learning and analytical techniques for intelligent information retrieval and classification system. Design, develop and deploy highly scalable machine learning models. Work along with software engineers for the model implementations and new feature creations Work closely

  • You have a MS in Statistics, Machine Learning, or Predictive Analytics You have 8+ years creating predictive models using advance machine learning techniques You have proven work examples of turning significant amounts of data into informative/insightful actions through various statistical

  • the implementation and rollout of our data analytics platform to the $186B Direct Selling Industry. You will be responsible for developing and leading a team of data scientists, and/or analysts, to deliver our data analytics platform. We are seeking the very best talent to create an exceptional environment. We

  • ·Personal Effectiveness: Listen, take ownership, be a role model, grow and learn ·Decide: Be courageous, contribute, provide/solicit input, take actionMisc Information ·This is an Individual contributor role with no management responsibility ·Performance metrics: Deliver 100% Customer Satisfaction (CE ...

  • proposed projects from Research analyst group (500+ members) will be queued to get implemented by the team. We are looking for a data scientist to lead the research and analytics effort for these financial projects, which is key to their success. Examples of such projects include Moody’s rating

  • coherent valueExceptional attention to details and organizational skills Inside this Business Group Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data

  • or training programs or classes, and teaching or instructing others. • Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. • Execute the analysis / evaluation of projects (around Qualifications/Requirements: • Master’s Degree in Statistics or Equivalent • Minimum of 8 years of experience ...

  • prevention/detection scores Source data and apply feature engineering for model development and deployment Provide requirements and assist Information Technology for model deployment Document model solutions and address questions/concerns from model risk and control partners PhD./ Master's degree in Mathematics ...

  • prevention/detection scores Source data and apply feature engineering for model development and deployment Provide requirements and assist Information Technology for model deployment Document model solutions and address questions/concerns from model risk and control partners PhD/Master's degree in Mathematics ...

  • technical documentationCreate and maintain service information in the company enterprise database.Timely and professionally handle field service calls and issues arising from the field service visits, triage with field applications scientists as appropriate. Andheri East, Mumbai

  • Visit Niche Sigment f Saloon and Create Brand Awareness, Providing the demo, Collecting Information Booking Order, Bring in Innovation, Collect Regular Feed Backs, Bring Long Term Relationship With Client With Good Product Knowledge. Industry Pharma / Biotech / Clinical Research functional

  • and across the industry. Essential Responsibilities: As a Data Engineer, you will be part of a data engineering or cross-disciplinary team, typically involving disparate, complex data sets. These teams typically include marketers, computer scientists, software developers, engineers, product managers, Sales Qualifications/Requirements: Bachelor's degree from an accredited university or college (or a high ...

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