Principal Data Scientist

IBM
Apply Now

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

  • Spearhead the design, development, and deployment of ML and NLP models, ensuring they align with product objectives and goals.
  • Collaborate with cross-functional teams, particularly product managers and engineers, to integrate models into product offerings and optimize their performance post-deployment.
  • Translate complex datasets into actionable insights, using advanced statistical methodologies to improve product features and drive user engagement.
  • Provide expertise in data exploration, feature engineering, and model validation, ensuring the highest standards of accuracy and efficiency.
  • Utilize cloud platforms and tooling to facilitate seamless data integration, model training, and analysis at scale.
  • Mentor and guide junior data scientists and analysts, establishing best practices and promoting continuous learning within the team.

Required Technical and Professional Expertise

  • Master’s Degree in Computer Science, Data Science, Statistics, or related field.
  • 7+ years of hands-on experience in ML and NLP model development, deployment, and post-deployment optimization.
  • Demonstrable proficiency in key statistical methods and their practical application to real-world product challenges.
  • Proficient in Python and its associated data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn, NLTK, spaCy).
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data analysis tools (e.g., BigQuery, Redshift, Data Lake).
  • Proven ability to work in tandem with product teams, translating data insights into actionable product enhancements.

Preferred Technical and Professional Expertise

  • Ph.D. in a related field.
  • 10+ years of applied data science experience, with a significant focus on product-centric roles.
  • Comprehensive understanding of cloud tooling and architectures specifically tailored for data analysis and ML workloads.
  • Hands-on experience with deploying ML and NLP models at scale, ensuring their robustness and efficiency in a product environment.
  • Familiarity with CI/CD practices, especially as they pertain to the deployment and updating of ML models.
  • Strong communication skills, with the ability to convey complex data-driven insights to non-technical stakeholders.
  • Demonstrated leadership qualities, with prior experience in mentoring or leading data science teams.
  • Proactive in staying updated with the latest advancements in ML, NLP, and cloud technologies, ensuring their effective adoption within the team and products.

Company Info.

IBM

IBM is a leading cloud platform and cognitive solutions company. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 290,000 employees serving clients in 177 countries. IBM Research provides unparalleled insight into business, industry and society by leveraging advanced computing architectures and methodologies to solve some of the world’s most pressing challenges.

  • Industry
    Information Technology,Computer software,Computer hardware
  • No. of Employees
    292,500
  • Location
    New Orchard Road, Armonk, New York, NY 10504, USA
  • Website
  • Jobs Posted

Get Similar Jobs In Your Inbox

IBM is currently hiring Principal Data Scientist Jobs in Bangalore, Karnataka, India with average base salary of ₹90,000 - ₹250,000 / Month.

Similar Jobs View More