Jobs and Careers
IB
Entry Level - Data Scientist
IBMUnited Statesfull_timeVerifiedPosted 28 Nov 2024
💰 $70,000/yr($60,000/yr – $70,000/yr)
About the role
Introduction
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
As an Associate Data Scientist at IBM, you will work to solve business problems using leading-edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:
• Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data and incorporating machine learning techniques in your projects
• Writing programs to cleanse and integrate data in an efficient and reusable manner
• Working in an Agile, collaborative environment, partnering with other data scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
• Communicating with internal and external clients to understand and define business needs and appropriate modeling techniques to provide analytical solutions
• Evaluating modeling results and communicating the results to technical and non-technical audiences
Required Technical and Professional Expertise
• Strong fundamentals in Mathematics and Computer Science (algorithms)
• You’re proficient in least one of the statistical programming languages, such as R, Python, Scala, SAS, SPSS, or Matlab
• You have a basic understanding of or experience with predictive/prescriptive modeling skills
• You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python
• You’re great at solving problems by looking at things differently, debugging, troubleshooting, and designing and implementing solutions to complex technical issues
Key Job Details
Role:Entry Level – Data Scientist Location:Buffalo, US Category:Data & Analytics Employment Type:Full-Time Travel Required:Up to 60% or 3 days a week (home on weekends – based on project requirements) Contract Type:Regular Company:(0147) International Business Machines Corporation Req ID:740830BR
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
As an Associate Data Scientist at IBM, you will work to solve business problems using leading-edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:
• Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data and incorporating machine learning techniques in your projects
• Writing programs to cleanse and integrate data in an efficient and reusable manner
• Working in an Agile, collaborative environment, partnering with other data scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
• Communicating with internal and external clients to understand and define business needs and appropriate modeling techniques to provide analytical solutions
• Evaluating modeling results and communicating the results to technical and non-technical audiences
Required Technical and Professional Expertise
• Strong fundamentals in Mathematics and Computer Science (algorithms)
• You’re proficient in least one of the statistical programming languages, such as R, Python, Scala, SAS, SPSS, or Matlab
• You have a basic understanding of or experience with predictive/prescriptive modeling skills
• You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python
• You’re great at solving problems by looking at things differently, debugging, troubleshooting, and designing and implementing solutions to complex technical issues
- US Citizenship required. Candidates must be able to get Federal clearance for client work.
- Candidates must be local to or able to relocate to Buffalo, NY, and able to work onsite 3 days a week.
Preferred Technical and Professional Expertise
• You thrive on teamwork and have excellent verbal and written communication skills
• You have a basic understanding of Cloud (AWS, Azure, etc.)
• Familiarity with constructing usable data sets from multiple structured and unstructured data sources
Key Job Details
Role:Entry Level – Data Scientist Location:Buffalo, US Category:Data & Analytics Employment Type:Full-Time Travel Required:Up to 60% or 3 days a week (home on weekends – based on project requirements) Contract Type:Regular Company:(0147) International Business Machines Corporation Req ID:740830BR
Projected Minimum Salary:$60,000 per year Projected Maximum Salary:$60,000-$70,000/year per year Date Posted:November 27, 2024
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