Ibm Data Scientist

7 months ago

مصر, Egypt IBM Full time

Introduction

IBM Systems Expert Labs is a Professional Services Team under IBM Technology Expert Labs.

IBM Technology Expert Labs has the proven expertise to help leaders plan, design and implement the essential IT infrastructure for what comes next. We offer a wide range of IT infrastructure services for IBM Power Systems, IBM Z® and IBM LinuxONE systems, and IBM Storage & Software Defined Infrastructure. Technology Expert Labs - Systems’ consultants perform IT infrastructure services for clients on site, helping them solve business challenges, gain new skills and discover best practices. Expert Lab has a global presence and can deploy its consultants around the world.
- As a Storage Consultant, the role involves providing specialised storage services around the world. The Expert Labs specialist is a highly skilled expert with a deep knowledge of IBM's Storage Software portfolio and hardware products
- The Expert Labs consultant assume overall technical responsibility for the success of solution construction, implementation and system integration in a technology, industry or business specialty
- You deliver new and complex high-quality solutions to clients in response to varying business requirements
- Exposure to Containers and Kubernetes technology
- Should be ready to travel (once or twice a month)

Your Role and Responsibilities

As an IBM Data Scientist, you will play a crucial role in leveraging data to drive business insights, develop machine learning models, and create data-driven solutions. You will work closely with cross-functional teams to understand business needs, design analytical solutions, and deliver actionable recommendations. Your expertise in data analysis, statistical modeling, and machine learning algorithms will be essential in solving complex problems and driving innovation.

Key Responsibilities:
1. Data Exploration and Analysis:

- Collect, clean, and preprocess data from various sources.
- Perform exploratory data analysis to understand patterns, trends, and relationships.
- Identify data quality issues and implement solutions for data integrity.

2. Statistical Modeling and Machine Learning:

- Develop predictive models using statistical techniques and machine learning algorithms.
- Evaluate model performance, tune hyperparameters, and optimize algorithms.
- Implement and deploy models into production systems for real-time decision-making.

3. Business Insights and Visualization:

- Collaborate with stakeholders to define business problems and objectives.
- Translate data insights into actionable recommendations and strategic initiatives.
- Create visualizations and dashboards to communicate findings effectively.

4. Experimentation and Innovation:

- Conduct A/B testing and experimentation to measure the impact of data-driven solutions.
- Explore new technologies, tools, and methodologies to improve analytical capabilities.
- Drive innovation by proposing and implementing data science projects that add value.

5. Cross-functional Collaboration:

- Work closely with data engineers, software developers, and business analysts to integrate data solutions.
- Communicate findings and insights to non-technical stakeholders in a clear and understandable manner.
- Collaborate with teams across the organization to drive data-driven decision-making and business growth.

Required Technical and Professional Expertise
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience in data analysis, statistical modeling, and machine learning techniques.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with data manipulation tools (e.g., SQL, Pandas, NumPy) and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills with the ability to work with large and complex datasets.
- Excellent communication skills and the ability to collaborate effectively in a team environment.
- Experience with cloud platforms (e.g., IBM Cloud, AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus.

Joining IBM as a Data Scientist offers a unique opportunity to work on cutting-edge projects, collaborate with diverse teams, and drive innovation through data-driven solutions. If you are passionate about leveraging data to solve complex problems and make an impact, we welcome you to join our dynamic team.

Preferred Technical and Professional Expertise


About Business UnitIBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company’s Global Markets organization is a strategic sales business unit that manages IBM’s global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients’ gr

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