Data Scientist-Advanced Analytics – (Remoto)

Key Skills

Aartificial intelligence, Apache Hadoop, Apache Kafka, AWS, Azure, C++, Data Analytics, Data science techniques, Deep Learning, Effective communication skills, Git, Google Cloud Platform (GCP), IT, Keras software library, Looker, Machine learning techniques, Mathematical modeling, Natural Language Processing (NLP), PowerBI, Python Programming, PyTorch, R Programming, SAS, Scala Programming, SPARK Programming, SPSS Statistics, SQL, Tableau, TensorFlow

Job Description

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

Professionals in this specialty focus on identifying key business challenges that can be solved and measured through the application of cognitive applications and artificial intelligence.

Responsibilities include translating mathematical formulas into code, building proof-of-concept models and algorithms, as well as researching, designing, and developing predictive mathematical models using

artificial intelligence. Required skills include knowledge of advanced analytics solutions, mathematical optimization (linear, mixed integer, constraint programming), discrete event simulation, rule programming, and predictive analysis.

Required Technical and Professional Expertise

• Education: Statistics, Mathematics, Engineering, IT, physics or
• related areas.
• Solid knowledge of Statistics (Descriptive Statistics, Correlation,
• Hypothesis Testing, Probability Distributions).
• Business Intelligence, mining and database concepts.
• Data preparation methods, predictive modeling.
• Application and concepts of Machine Learning.
• Programming skills in Python and/or R.
• Communication skills.

All vacancies are eligible for people with disabilities or rehabilitated people.

Preferred Technical and Professional Expertise

• Databricks, Hadoop, Spark, Scala, Kafka, SQL, Java and/or C++
• Version control (Git)
• Personal project portfolio (e.g. Github, personal blog)
• SPSS, SAS or Knime
• Tableau, PowerBI, Looker
• Time Series, Text Mining and NLP
• Neural networks and Deep Learning (libraries such as Keras, PyTorch, TensorFlow, H2O)
• Visual Recognition Techniques
• Experience in mathematical programming (CPLEX, Gurobi, Matlab)
• Ability to work with cloud platforms (Azure, IBM Cloud, Google Cloud or AWS)