What are the responsibilities and job description for the Data Scientist position at IBM?
Introduction
The Weather Company, an IBM Business, is seeking a Data Scientist to join the IBM Watson Advertising division. The IBM Watson Advertising division builds solutions that allow users to optimize their advertising effort and make automated decisions in regards to targeting, spend, visual elements, and more in order to drive better performances for your advertising. We are looking for a Data scientist who has worked with complex data who can work with us on our Data Strategy initiative. You will be able to work with various data sources and help derive insights that help us drive our business forward. You will enjoy working with a group of engineers on new product innovation and development.
If you would like your ideas and innovations to turn into ideas, this is the job for you.
You will be part of a group developing state of the art cognitive solutions across multiple verticals. This position provides endless career growth opportunities within many emerging technologies in artificial intelligence, machine learning, natural language generation and natural language processing. Our organization operates within a challenging, modern, and fun work setting, with a good work-life balance.
Your Role and Responsibilities
Data Scientist is a role for quantitatively adept people with accompanying business skills. A solid foundation typically in statistics, modeling, operations research, computer science and applications, and math. What sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organization. A data scientist is effective at deploying an analytics solution, thereby realizing business value. Whereas a traditional data analyst may look only at data from a single source – a CRM system, for example – a data scientist will most likely explore and examine data from multiple disparate sources. The data scientist will extract, transform, and combine all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. A data scientist does not simply collect and report on data, but also builds statistical models, determines what it means, then recommends ways to apply the data. Data scientists are inquisitive: exploring, asking questions, doing ""what if"" analysis, questioning existing assumptions and processes. Armed with data, modeling expertise, and analytical results, a top-tier data scientist will then communicate informed conclusions and recommendations across an organization's leadership structure. The employee guides functional objectives or technologies.
Skills:
Environment:
Professional knowledge related to incumbent's function/business unit and its processes.
Communication/Negotiation:
Advise other professionals. Effectively utilize group dynamics. Negotiate to define approaches and goals.
Problem Solving:
Recognize complex problems related to functional objectives. Analyze situations and implement solutions, or develop new system elements, procedures or processes. Creativity and judgment applied to developmental work on different projects within the business environment.
Contribution/Leadership:
Provides ongoing technical /operational guidance to lead professional work teams, conducts special projects, or manages department(s) (national or international). Understand department/ functional mission and vision. Defines and decides objectives within specified business concept or project and may have responsibility for tools and assigned resources. Utilizes expertise to directly influence people outside department or function. Sometimes no precedent exists.
Impact on Business/Scope:
Accountable for department results and for activities and/or projects involving multi-functional teams. Regularly participates in overall functional program planning. Activities are subject to business measurements, impact customer satisfaction, and impact project costs or expenses.
Required Technical and Professional Expertise
The data scientist will extract, transform, and combine all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. A data scientist does not simply collect and report on data, but also builds statistical models, determines what it means, then recommends ways to apply the data. Data scientists are inquisitive: exploring, asking questions, doing ""what if"" analysis, questioning existing assumptions and processes. Armed with data, modeling expertise, and analytical results, a top-tier data scientist will then communicate informed conclusions and recommendations across an organization's leadership structure. The employee guides functional objectives or technologies.
Preferred Technical and Professional Expertise
Experience with research teams will be beneficial but not required.
The Weather Company, an IBM Business, is seeking a Data Scientist to join the IBM Watson Advertising division. The IBM Watson Advertising division builds solutions that allow users to optimize their advertising effort and make automated decisions in regards to targeting, spend, visual elements, and more in order to drive better performances for your advertising. We are looking for a Data scientist who has worked with complex data who can work with us on our Data Strategy initiative. You will be able to work with various data sources and help derive insights that help us drive our business forward. You will enjoy working with a group of engineers on new product innovation and development.
If you would like your ideas and innovations to turn into ideas, this is the job for you.
You will be part of a group developing state of the art cognitive solutions across multiple verticals. This position provides endless career growth opportunities within many emerging technologies in artificial intelligence, machine learning, natural language generation and natural language processing. Our organization operates within a challenging, modern, and fun work setting, with a good work-life balance.
Your Role and Responsibilities
Data Scientist is a role for quantitatively adept people with accompanying business skills. A solid foundation typically in statistics, modeling, operations research, computer science and applications, and math. What sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organization. A data scientist is effective at deploying an analytics solution, thereby realizing business value. Whereas a traditional data analyst may look only at data from a single source – a CRM system, for example – a data scientist will most likely explore and examine data from multiple disparate sources. The data scientist will extract, transform, and combine all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. A data scientist does not simply collect and report on data, but also builds statistical models, determines what it means, then recommends ways to apply the data. Data scientists are inquisitive: exploring, asking questions, doing ""what if"" analysis, questioning existing assumptions and processes. Armed with data, modeling expertise, and analytical results, a top-tier data scientist will then communicate informed conclusions and recommendations across an organization's leadership structure. The employee guides functional objectives or technologies.
Skills:
Environment:
Professional knowledge related to incumbent's function/business unit and its processes.
Communication/Negotiation:
Advise other professionals. Effectively utilize group dynamics. Negotiate to define approaches and goals.
Problem Solving:
Recognize complex problems related to functional objectives. Analyze situations and implement solutions, or develop new system elements, procedures or processes. Creativity and judgment applied to developmental work on different projects within the business environment.
Contribution/Leadership:
Provides ongoing technical /operational guidance to lead professional work teams, conducts special projects, or manages department(s) (national or international). Understand department/ functional mission and vision. Defines and decides objectives within specified business concept or project and may have responsibility for tools and assigned resources. Utilizes expertise to directly influence people outside department or function. Sometimes no precedent exists.
Impact on Business/Scope:
Accountable for department results and for activities and/or projects involving multi-functional teams. Regularly participates in overall functional program planning. Activities are subject to business measurements, impact customer satisfaction, and impact project costs or expenses.
Required Technical and Professional Expertise
The data scientist will extract, transform, and combine all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. A data scientist does not simply collect and report on data, but also builds statistical models, determines what it means, then recommends ways to apply the data. Data scientists are inquisitive: exploring, asking questions, doing ""what if"" analysis, questioning existing assumptions and processes. Armed with data, modeling expertise, and analytical results, a top-tier data scientist will then communicate informed conclusions and recommendations across an organization's leadership structure. The employee guides functional objectives or technologies.
Preferred Technical and Professional Expertise
Experience with research teams will be beneficial but not required.
Salary : $1 - $1,000,000
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