IBM Data Science Engineer in Atlanta, Georgia

Job Description

We are in a data science renaissance. Companies that embrace data science will lead and those who do not will fall behind. To help IBM's clients lead, we are building an elite team of data science practitioners to help them learn how to succeed with data science. The team will include data science engineers, machine learning engineers, operations research / optimization engineers and data journalists.

The team will engage directly in solving real-world data science problems in a wide array of industries around the globe with IBM clients and internally to IBM. This elite team of data professionals will work with other IBMers and client data science teams to solve problems in banking, insurance, health care, manufacturing, oil & gas and automotive industries, to name a few. We will teach our client data science teams how to execute on key responsibilities.

Responsibilities:

  • Develop subject-matter expertise with clients we work with

  • Be a trusted partner to the analytics team, engineering team and enable them to use data to run analytics at scale and integrate analytics with product platforms

  • Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data

  • Enable analytics by building robust data sets that can power various ML techniques like regression, classification, clustering etc….

Who you are:

  • You share our passion for producing high quality work and continuously improving the ways we use data

  • You have a passion for intuitive data model and you are an expert in distributed data processing patterns.

  • You have experience in engineering data pipelines using big data technologies on large scale unstructured data sets

  • You have programming expertise: functional, scripting or object oriented

  • You excel at taking vague requirements and crystallizing them into scalable data solutions

  • You have demonstrated communication skills

  • Independent, self-starter, with demonstrated communication, collaboration and willing to learn passionately

  • Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment.

Key skills:

  • Independent, self-starter, with demonstrated communication, collaboration and willing to learn passionately

  • Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment.

  • Excellent problem-solving and analytical skills

Preferred Work Locations: Austin, TX, RTP, NC, NY & SVL

Required Technical and Professional Expertise

  • At least 3 years experience with relational SQL and NoSQL databases, including Postgres, DB2 event store, Cassandra, Neo4j. Familiarity with file formats such as Avro and Parquet is a plus

  • At least 3 years experience in: Python, Scala, Java, R

  • At least 3 years experience with big data compute: M/R, Spark, Beam, Flink etc.

  • At least 3 years experience with streaming ETL and analytics using Kafka

  • At least 1 years experience in orchestration and containerization technologies to instrument infrastructure as code: Kubernetes, Docker, Ansible.

Preferred Tech and Prof Experience

  • At least 1 years experience in team leadership and ownership

  • At least 2 years experience working on Agile team

EO Statement

IBM 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, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.