Company Description

We are seeking an innovative and accomplished Data Scientist to join our team. As a Data Scientist, you will collaborate with Analytics Business Partners (ABP)/AI-product managers to understand the problem statement, data, and analytics insights needed to solve a given business problem. You will be responsible for developing and implementing cutting-edge analytics solutions that generate new insights and drive business value.

Job Description

• Drive innovation by researching and implementing state-of-the-art AI/ML techniques, build POCs, and constantly exploring new ways to improve our analytics capabilities.
• Work with SMEs to establish data understanding and address data quality issues.
• Perform data cleansing, feature engineering, and exploratory data analysis to prepare data required for modelling.
• Partner with other data scientists in AAO and Asia factories to build advanced statistical, AI, and ML models that are congruent with the problem being solved and optimize for performance.
• Seamlessly operationalize models developed from notebooks to customer pilot to production with the help of ML Engineers and Solution Architects in AAO.
• Present findings and recommendations to project stakeholders in a compelling manner that communicates complex data and analytics insights effectively.
• Lead and manage two or more ML projects with diverse cross-functional teams.

Qualifications

• BE/BS/MS/PhD in a quantitative discipline (e.g., Computer Science, Data Science, Applied Sciences or Engineering).
• BE/BS & 8+ years or MS & 4+ years or PhD & 3+ year of experience in data science and machine learning.
• Strong theoretical understanding & hands-on experience in statistical data analysis, AI & ML techniques (e.g., generative text techniques, NLP/NLU/NLG, supervised and unsupervised modelling, Deep Learning, CNN, NLP, Time-series analysis) and common data analytics tools (e.g., Python, R, Tensorflow etc).
• Experience with 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:

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