Principal Data Scientist at Western Digital

Short Description:

We are hiring a Principal Data Scientist in Bengaluru, India, for our Data Science team at the Bangalore Hallmark Office. The role involves collaborating with business partners to understand and address complex problems, conducting innovative research in AI/ML, and implementing cutting-edge analytics solutions. Responsibilities include data cleansing, feature engineering, and model development, working closely with cross-functional teams. Qualified candidates should possess a strong background in statistical analysis, AI/ML techniques, and proficiency in tools like Python, R, and Tensorflow. Preference will be given to those with experience in large language models, publishing research papers, and applying reinforcement learning techniques.

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Position: Principal Data Scientist

Location: Bengaluru, India 

Employment Type: Full-time 

Business Function: Data Science 

Work Location: Bangalore Hallmark Office (IBS)--LOC_WDT_IBS

About Us: We are in search of a dynamic and accomplished Data Scientist to join our innovative team. In this role, you will collaborate closely with Analytics Business Partners (ABP) and AI-product managers, understanding problem statements, data intricacies, and analytics insights essential for addressing business challenges. Your primary responsibility will involve developing and implementing cutting-edge analytics solutions, fostering fresh insights, and enhancing overall business value.

Responsibilities:

• Spearhead innovation by researching and implementing state-of-the-art AI/ML techniques, constructing proof-of-concepts (POCs), and consistently exploring novel methods to enhance our analytics capabilities.
• Collaborate with Subject Matter Experts (SMEs) to establish a comprehensive understanding of data and address any associated quality issues.
• Conduct data cleansing, feature engineering, and exploratory data analysis to prepare data for modeling purposes.
• Collaborate with fellow data scientists in AAO and Asia factories to construct advanced statistical, AI, and ML models aligned with the specific problem at hand, optimizing for performance.
• Smoothly operationalize models from notebooks to customer pilot to production with the assistance of ML Engineers and Solution Architects in AAO.
• Present findings and recommendations to project stakeholders in a compelling manner, effectively communicating complex data and analytics insights.
• Lead and manage two or more ML projects with diverse cross-functional teams.

Qualifications:

• Bachelor's/Master's/PhD in a quantitative discipline (e.g., Computer Science, Data Science, Applied Sciences, or Engineering).
• Bachelor's/Master's with 8+ years or PhD with 3+ years of experience in data science and machine learning.
• Solid theoretical understanding and hands-on experience in statistical data analysis, AI & ML techniques (e.g., generative text techniques, NLP/NLU/NLG, supervised and unsupervised modeling, Deep Learning, CNN, NLP, Time-series analysis), and common data analytics tools (e.g., Python, R, Tensorflow, etc.).
• Proficiency in Database Technologies (SQL, NoSQL), Big Data Technologies (Hadoop, Hive, Spark), and Cloud Technologies (AWS, GCP).
• Strong problem-solving and critical thinking skills.
• Positive attitude towards learning on-the-job and thriving in a rapidly changing environment.

Additional Information: Preference will be given to candidates with:

• Experience in rigorous experimentation with large language models.
• Track record of publishing research papers and patents to establish thought leadership in the industry.
• Proven experience in applying reinforcement learning techniques to solve real-world problems.
• Inclination for self-learning, literature research, and active participation in relevant conferences to stay up-to-date with the latest technological advancements in the AI/ML space.

Please click here to apply.