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.

Your role and responsibilities

Key Responsibilities:

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.
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.
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.
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.
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 education

Bachelor's Degree

Preferred education

Master's Degree

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.

ABOUT BUSINESS UNIT

IBM 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’ growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’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.

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