SR DATA SCIENTIST

The Microsoft Cloud and Enterprise Division is off to a great start since launch and is fast gaining momentum. The Azure Compute team designs and builds the software infrastructure that powers more than 100,000 servers across datacenters around the globe and provides core infrastructure services for a variety of online applications. There is a lot of excitement about Azure and we need additional strong talents in Azure Compute to drive our services to next level of success.

We are building the next generation highly scalable and fully automated infrastructure. We focus on utilizing the resources most efficiently in the data center, easing development and deployment of services, simplifying the monitoring, debugging, and troubleshooting of services, and optimizing reliability and performance. For example, autopilot dynamically allocates computing resources, automatically detects failures, repairs and recovers erroneous applications, manages the application deployment, and updates application data safely, quickly, and frequently. Azure Compute can schedule where to run application services and decides how many computing machines needed at a given time and given load. It furthermore provides foundational services such as messaging, queuing, storage, and caching services to enable rich application services.

We are looking for an enthusiastic data scientist to work on Azure Compute system to help advance the state of the art in data-driven engineering practice. The data scientist will partner with engineers on utilizing data mining and machine learning techniques to solve the hard problems in improving Azure compute service scalability, reliability, and performance, devops productivity, and customer satisfaction.

Focus areas in this charter include big data, analytics, machine learning, data exploration and visualization, simulation, instrumentation and service optimization.

This is a fun and fast paced environment, where the team has high desire to embrace data-driven methodologies and techniques. This is a great opportunity to work on something highly strategic to Microsoft.

Qualifications:

          5+ years of experience working on and analyzing big data

          Expertise in data mining or machine learning

          Strong problem solving and debugging skills

          Proficiency in C/C++, C# or Java programming

          MS./PH.D in Applied Math or Computer Science preferred or equivalent years of experience with BS in Computer Science

          Expertise in data visualization and presentation

          Experience in related areas such as Cosmos/Scope, Hadoop/MapReduce will be a plus

          Excellent communication and cross-team skills

Microsoft is an equal opportunity employer.   All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

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Data Scientist, Senior - Office - 895421

Join the excitement of being a part of one of the fastest growing services at Microsoft - Office 365! Do you want to use your data analysis and business strategy skills to derive insights about millions of users across the world and drive the innovation in marketing? Do you want to have an impact on the future of MS Office, a product loved and used by hundreds of millions of users around the world? If you excel quantitative analysis and want to influence the future of consumer marketing at Microsoft, then this position is for you.

We are a fast paced, fun Analytics team in the Office Marketing division driving the data-driven culture. We measure end to end business health of the business by defining and managing key business performance metrics. We develop and provide key customer insights and inform the business strategy and business model evolution. This is a highly visible role leading the transforming the organization’s pace to move forward through key insights about our business health and customer insights. In this role, you will define metrics touching various aspect of customer lifecycle. You will provide value by driving key business decisions for multiple stakeholders as well as a thought leader in building a data-driven culture.

The position will be responsible for devising analysis, reporting, and system capability solutions, and providing decision makers with actionable business intelligence. We are looking for an applied analyst who is passionate about data and deriving insights that drive our acquisition, utilization and retention programs. Someone who is driven, self-directed, entrepreneurial and focused on delivering the right results through data and applying. To be successful in this role, you must have strong skills in written and oral communications, a can-do attitude and the willingness to tackle hard problems in innovative ways.

Key Responsibilities

-Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques

--Deliver on ambiguous projects with multiple stakeholders

-Present findings and recommendations to key decision makers at various management levels

Requirements

  3+ years of industry experience solving analytical problems using quantitative approaches.

  Prior experience in BI, reporting, business analysis, and project management.

  Advanced Modeling and Excel skills and high proficiency in SQL

  Some knowledge of Statistics and statistical analysis tools like SAS, R, SPSS

  Manipulate large volumes of data, create new and improved techniques and/or solutions for data collection, management, and usage

  High attention to detail, action oriented, ability to work within stringent deadlines

  Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

  Attention to detail and data accuracy

  Strong interpersonal, communication and presentation communication skills.

  Customer focus and curiosity

  Prior experience in subscription services, telecom, financial services desired

Qualifications

• Masters or Ph.D. in Science, Mathematics, Applied Physics, Statistics, or Operations Research from a reputed institution

Microsoft is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

MBD&E THLAREQ   895421

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SR DATA SCIENTIST

Data is our next big engineering challenge. Our team is working to meet this challenge across OSG.   We are looking for Data Scientists to help us build the data asset that will be used to improve our products and benefits our partners and customers and build this organizational capability.

We are looking for Data Scientists with the skills to help us to Collect Data from our devices, clients, and services in a trustworthy way, Process the Data via a world class data pipelines turning raw data in to analysis-ready materials, and Analyze the Data through analytical rigor and statistical method with tools and applications to develop models and uncover deep insights and enable engineering teams to utilize the data effectively, develop insights, and turn the data into value for our customers.

In this role our Data Scientists will build our Data Assets into the competitive advantage they can be.   Working from the Hub Data Science team they will mentor the Spoke Data teams around flighting, collection, analysis, and utilizing our Data Assets.   A successful candidate should be able to identify new and interesting internal and external data sources and signals, gather the   data from these disparate sources with tools like Hadoop & HDInisght, work with our Services teams to process the data to the point that it can be analyzed.   Candidates should have experience analyzing big data with statistical rigor using R, MATLAB, SAS, or similar statistical modeling tools to build models to find interesting new insights to drive business outcomes.   Skills in C#, Python, Perl, or other scripting/programming language to help tie all of this together are important. Candidate should also have skills with SQL Server and SQL tools to build out cubes and data marts and enable additional self-serve analysis across Data Assets.   In addition to this we are looking for Data Scientists with strong creative visualization skills to help build out reports to be consumed by Engineers and Managers.  

Candidates should also have strong interpersonal and communications skills, great conceptual, analytical and problem solving abilities, ability to clearly communicating requirements, interest in working on hard ambiguous problems in a fast paced environment.

Technical Requirements:

  Experience with Large Scale Data "Big Data"

  Experience with   Azure, HDInsight, & Excel

  Experience with Machine Learning, Information Retrieval, Data Mining and Signal Processing

  Degree in Computer Science, Statistics, Mathematics, or related field

  At least 4 years (recent) analysis/programming experience in a production environment

  3-5+ years of experience working with big data & analytics

  Experience with Excel, R, MATLAB, AMPL, or SAS

  Proficiency in at least one language/scripting languages, such as C#, Python, PowerShell, or Perl

  Strong Mathematical background w emphasis in statistics

  Database experience (SQL), SSAS, SQLPower Pivot

  Experience with Hadoop, Map/Reduce runtimes.

  Data Visualization expertise

  Experience with Cosmos, Scope

  Understanding of how ETW, Watson, and SQM work

  Experience with WLI, Metron, or Telreports a plus

Microsoft is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

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SR DATA SCIENTIST

Data is our next big engineering challenge. Our team is working to meet this challenge across OSG.   We are looking for Data Scientists to help us build the data asset that will be used to improve our products and benefits our partners and customers and build this organizational capability.

We are looking for Data Scientists with the skills to help us to Collect Data from our devices, clients, and services in a trustworthy way, Process the Data via a world class data pipelines turning raw data in to analysis-ready materials, and Analyze the Data through analytical rigor and statistical method with tools and applications to develop models and uncover deep insights and enable engineering teams to utilize the data effectively, develop insights, and turn the data into value for our customers.

In this role our Data Scientists will build our Data Assets into the competitive advantage they can be.   Working from the Hub Data Science team they will mentor the Spoke Data teams around flighting, collection, analysis, and utilizing our Data Assets.   A successful candidate should be able to identify new and interesting internal and external data sources and signals, gather the   data from these disparate sources with tools like Hadoop & HDInisght, work with our Services teams to process the data to the point that it can be analyzed.   Candidates should have experience analyzing big data with statistical rigor using R, MATLAB, SAS, or similar statistical modeling tools to build models to find interesting new insights to drive business outcomes.   Skills in C#, Python, Perl, or other scripting/programming language to help tie all of this together are important. Candidate should also have skills with SQL Server and SQL tools to build out cubes and data marts and enable additional self-serve analysis across Data Assets.   In addition to this we are looking for Data Scientists with strong creative visualization skills to help build out reports to be consumed by Engineers and Managers.  

Candidates should also have strong interpersonal and communications skills, great conceptual, analytical and problem solving abilities, ability to clearly communicating requirements, interest in working on hard ambiguous problems in a fast paced environment.

Technical Requirements:

  Experience with Large Scale Data "Big Data"

  Experience with   Azure, HDInsight, & Excel

  Experience with Machine Learning, Information Retrieval, Data Mining and Signal Processing

  Degree in Computer Science, Statistics, Mathematics, or related field

  At least 4 years (recent) analysis/programming experience in a production environment

  3-5+ years of experience working with big data & analytics

  Experience with Excel, R, MATLAB, AMPL, or SAS

  Proficiency in at least one language/scripting languages, such as C#, Python, PowerShell, or Perl

  Strong Mathematical background w emphasis in statistics

  Database experience (SQL), SSAS, SQLPower Pivot

  Experience with Hadoop, Map/Reduce runtimes.

  Data Visualization expertise

  Experience with Cosmos, Scope

  Understanding of how ETW, Watson, and SQM work

  Experience with WLI, Metron, or Telreports a plus

Microsoft is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

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Sr Data Scientist

Data is our next big engineering challenge. Our team is working to meet this challenge across OSG.   We are looking for Data Scientists to help us build the data asset that will be used to improve our products and benefits our partners and customers and build this organizational capability.

We are looking for Data Scientists with the skills to help us to Collect Data from our devices, clients, and services in a trustworthy way, Process the Data via a world class data pipelines turning raw data in to analysis-ready materials, and Analyze the Data through analytical rigor and statistical method with tools and applications to develop models and uncover deep insights and enable engineering teams to utilize the data effectively, develop insights, and turn the data into value for our customers.

In this role our Data Scientists will build our Data Assets into the competitive advantage they can be.   Working from the Hub Data Science team they will mentor the Spoke Data teams around flighting, collection, analysis, and utilizing our Data Assets.   A successful candidate should be able to identify new and interesting internal and external data sources and signals, gather the   data from these disparate sources with tools like Hadoop & HDInisght, work with our Services teams to process the data to the point that it can be analyzed.   Candidates should have experience analyzing big data with statistical rigor using R, MATLAB, SAS, or similar statistical modeling tools to build models to find interesting new insights to drive business outcomes.   Skills in C#, Python, Perl, or other scripting/programming language to help tie all of this together are important. Candidate should also have skills with SQL Server and SQL tools to build out cubes and data marts and enable additional self-serve analysis across Data Assets.   In addition to this we are looking for Data Scientists with strong creative visualization skills to help build out reports to be consumed by Engineers and Managers.  

Candidates should also have strong interpersonal and communications skills, great conceptual, analytical and problem solving abilities, ability to clearly communicating requirements, interest in working on hard ambiguous problems in a fast paced environment.

Technical Requirements:

  Experience with Large Scale Data "Big Data"

  Experience with   Azure, HDInsight, & Excel

  Experience with Machine Learning, Information Retrieval, Data Mining and Signal Processing

  Degree in Computer Science, Statistics, Mathematics, or related field

  At least 4 years (recent) analysis/programming experience in a production environment

  3-5+ years of experience working with big data & analytics

  Experience with Excel, R, MATLAB, AMPL, or SAS

  Proficiency in at least one language/scripting languages, such as C#, Python, PowerShell, or Perl

  Strong Mathematical background w emphasis in statistics

  Database experience (SQL), SSAS, SQLPower Pivot

  Experience with Hadoop, Map/Reduce runtimes.

  Data Visualization expertise

  Experience with Cosmos, Scope

  Understanding of how ETW, Watson, and SQM work

  Experience with WLI, Metron, or Telreports a plus

Microsoft is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

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Data Scientist - 875454

Did you ever think that two pixels could result in millions of dollars of added revenue?

Want to be at the forefront of Big Data? Want to command hundreds of thousands of machines and process terabytes - nay, petabytes - of data in minutes using your favorite programming language? Want to be part of an organization where the first question is always “what does the data tell us?”

If so, come join the Application and Services Group’s (ASG) Analysis and Experimentation team. With new data sources and signals coming in daily, we need bright, intelligent people that can dive into the data, make sense of it, and use it to solve large-scale problems all around ASG and Microsoft. We are also the brains and analytical brawn behind the ASG Experimentation Platform, used by teams all across ASG and Microsoft.

Job responsibilities include:

* Handling large amounts of data using various tools, including your own. All programming languages welcome, especially R, Python, SQL, and C#.

* Understanding the data generated by experiments, and producing actionable, trustworthy conclusions from them.

* Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

* Building data manipulation, processing, and visualization tools and sharing these tools and your knowledge across the team, ASG, and Microsoft.

Qualifications:

* Bachelor’s or Master’s degree in a quantitative field, and at least 2 years of relevant work experience. PhD preferred.

* Superior verbal, visual and written communication skills.

* Fundamental knowledge in applied statistics and mathematics: p-values, confidence intervals, regression, classification, and optimization are core lingo.

* A willingness to learn, share, and improve.

* Data hacking skills and knowledge in various analytical programming languages: R, SQL, Python.

Microsoft is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

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Sr. Pharmacovigilance Scientist, Safety and Benefit Risk - Biogen Idec - Cambridge, MA

The PV Scientist assists and supports the ongoing aggregate review and analysis of product safety data to support the product life cycle for assigned molecules, both pre and post-marketing. Such tasks include preparation and authoring of aggregate safety data including signaling reports, PSURs (Periodic Safety Update Reports), Annual Safety Reports, and reports to support internal/external data safety monitoring boards. The PV Scientist will also support Risk Evaluation and Mitigation Strategy (REMS) plans, Pharmacovigilance Plans, EU Risk Management Plans, product recalls, and other safety surveillance activities. The PV Scientist will author and assist in signal evaluations and the management of responses to regulatory agencies related to the assigned product.

Location
US-MA-Cambridge

Job Category
Drug Safety

Requisition Number
20875BR

Qualifications
Ability to understand, interpret, analyze, and clearly present scientific and medical data in verbal and written format (including intermediate understanding and application of medical concepts and terminology.
Able to interact collaboratively and effectively in a team environment (including Safety, Clinical Development, Medical Affairs, Clinical Operations, and Regulatory), as well as with external colleagues for partnered
Develops and conducts, independently and/or collaboratively, all aspects of substantive projects such as signaling, authoring of aggregate data reports, and responses to regulatory agency requests.
Excellent written and verbal communication skills. Demonstrated presentation skills.
Extensive medical writing, editing, and source document review.
Clinical judgment, ability to interpret case information
Knowledge of drug development process.
Basic knowledge of applicable clinical trial safety regulations and postmarketing regulations.
Demonstrated ability to independently manage complex projects with multidisciplinary teams
Medical writing, editing, and source document review.
Clinical judgment, ability to interpret case information
Basic medical literature search skills.
Strong organizational skills, including the ability to prioritize independently with minimal supervision.
Ability to adapt to a rapidly changing environment
Proven ability to evaluate. clinical and epidemiologic data
Basic knowledge of common data processing software (EXCEL, PowerPoint, Microsoft Word, Business Objects).
Knowledge of common safety database systems
Minimum 3 years relevant experience (including industry experience) with familiarity with industry principles of drug safety, drug development, regulatory, pharmacology, and pharmacoepidemiology.

Education
Academic degree in biological or natural science or health care discipline (e.g. PhD, MPH, NP, Pharm D, MSc).
Biogen Idec - 4 days ago - save job - block

Biogen Idec (NASDAQ: BIIB) is a biotechnology leader that discovers, develops and delivers medecines to improve the lives of patients. As a...

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