Principal Data Scientist

1 month ago

Bengaluru, India IBM Full time

Introduction

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.
- 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.

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?

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