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IBM Data Scientist in Quezon City, Philippines

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

  • Develop models and perform statistical analysis to identify key areas across a range of Quote to Cash functions

  • Design and implement users tracking and feedback mechanisms to capture actions and analyse the impact on business outcomes, following implementation and deployment of analytics and cognitive solutions

  • Identify new data sources for generating meaningful insights from multiple sources; interpret and communicate insights and findings from analysis and experiments to IBM teams and stakeholders

  • You will be designing and developing systems and processes to consolidate and analyse both structured and unstructured data from diverse data sources to generate actionable insights

  • Collaborate with shared services team and subject matter experts (SMEs) to drive and operationalize analytical and cognitive prototypes

Required Technical and Professional Expertise

  • A Degree in a quantitative field (Statistics, Mathematics, Operations Research, Economics, Computer Science, etc) or a related technical field with 4+ years hands-on experience working in Machine Learning Lifecycle environment.

  • 4+ years of experience in working with data sets to build statistical models

  • Strong statistical skills such as in probability theories, descriptive statistics, hypothesis testing, regression, etc

  • Excellent understanding of machine learning techniques and algorithms such as Logistic Regression, Decision Trees, Random Forrest, Support Vector Machines, and Clustering etc.

  • Expertise in various data science methods (i.e. CRISP-DM, data understanding & preparation, feature engineering, as well as model training, evaluation and validation)

  • 4+ years of experience with Python (Datalab, NumPy, Pandas, Scikit)

  • Experience with common data science languages and libraries such as R, SQL, noSQL, Scala, Weka, MatLab, etc

  • Experience with data visualization techniques

  • Familiarity with data science and cloud platforms

  • Knowledge in data mining and data engineering techniques

  • Great communication (oral and written) skills and strong team player

  • Ability to learn new techniques and thrive in fast-changing environment

  • Ability to translate complex and abstract problems into technical requirements

Preferred Technical and Professional Expertise

  • A Degree in a quantitative field (Statistics, Mathematics, Operations Research, Economics, Computer Science, etc) or a related technical field with 4+ years hands-on experience working in Machine Learning Lifecycle environment.

  • 4+ years of experience in working with data sets to build statistical models

  • Strong statistical skills such as in probability theories, descriptive statistics, hypothesis testing, regression, etc

  • Excellent understanding of machine learning techniques and algorithms such as Logistic Regression, Decision Trees, Random Forrest, Support Vector Machines, and Clustering etc.

  • Expertise in various data science methods (i.e. CRISP-DM, data understanding & preparation, feature engineering, as well as model training, evaluation and validation)

  • 4+ years of experience with Python (Datalab, NumPy, Pandas, Scikit)

  • Experience with common data science languages and libraries such as R, SQL, noSQL, Scala, Weka, MatLab, etc

  • Experience with data visualization techniques

  • Familiarity with data science and cloud platforms

  • Knowledge in data mining and data engineering techniques

  • Great communication (oral and written) skills and strong team player

  • Ability to learn new techniques and thrive in fast-changing environment

  • Ability to translate complex and abstract problems into technical requirements

About Business UnitThe IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM's financial strategy, developing new business models, and mitigating enterprise risk. Do you have a passion for creating business value? Join our team in accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing.

Your Life @ IBMAre you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It's time to define your career.

About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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