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Introducción
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.
Su función y responsabilidades
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.
Educación requerida
Licenciatura
Educación preferida
Maestría
Experiencia profesional y técnica requerida
  • 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.

Acerca de la Unidad de Negocios

IBM tiene presencia global y opera en más de 175 países con una amplia distribución geográfica de ingresos. IBM Global Sales es la unidad de negocio encargada de ventas estratégicas marcando la huella global de IBM, trabajando en estrecha colaboración con unidades operativas dedicadas en los distintos países donde se atienden clientes localmente. Nuestros equipos están liderados por gerentes de relaciones quienes dirigen grupos integrados de consultores, especialistas en soluciones y expertos en implementación. Su objetivo es impulsar el crecimiento y la innovación de los clientes. Al combinar el conocimiento local con la experiencia global y las capacidades digitales, IBM forja relaciones sólidas y duraderas con sus clientes.Este enfoque de gestión local fomenta la rapidez en el apoyo a los clientes, abordando nuevos mercados y realizando inversiones en oportunidades emergentes. Además, la organización Global Sales presta servicios a clientes con experiencia en su industria, así como a través de los productos y servicios que IBM y sus socios suministran. IBM también está ampliando su alcance a clientes nuevos y existentes a través de mercados digitales.

SU VIDA @ 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?

Acerca de 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.

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

Otros detalles relevantes del empleo

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