Entry Data Science Specialist Job in Bengaluru at CDM Smith

• AI Model Development: Design, develop, and implement cutting-edge machine learning algorithms and models, focusing on NLP, Generative AI, and other AI technologies.
• Research and Innovation: Stay up to date with the latest advancements in machine learning and artificial intelligence. Conduct research to identify new techniques and approaches to improve our AI solutions.
• Data Analysis: Analyze large and complex datasets to extract meaningful insights. Apply statistical analysis and machine learning techniques to gain a deeper understanding of the data.
• Collaboration: Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning models into applications and systems effectively.
• Algorithm Optimization: Optimize machine learning algorithms for performance, scalability, and efficiency. Identify and resolve bottlenecks to ensure smooth and fast execution.
• Ability to conduct cost/benefit analysis, Business case development etc. Prioritize requirements and create conceptual prototypes and mock-ups.
• Master strategic business process modeling, traceability, and quality management techniques.
• Strong verbal and written communication and presentation skills.
• Experience identifying and communicating analytical outcomes, verbally and in writing, to both business and technical teams.

Requirements:

• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
• Proven Familiarity of Finance & Accounting principles and/or project accounting.
• Proven experience in developing and implementing machine learning models, particularly in areas like NLP and Generative AI.
• Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks.
• Strong understanding of deep learning architectures, algorithms, and frameworks.
• Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks.
• Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
• Bachelor’s degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines.
• Master’s Degree in Statistics, Business Administration or related disciplines is a plus.
• Certifications in Data Analytics & Data Science is a plus.
• Must have 1+ years of experience working on ML algorithms and related products.
•  Must have 1+ years of experience working with relational databases (Oracle), query authoring (SQL).
• Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus.
• Experience on creating the Dashboards, Scorecards, Ad-hoc Reports.
• Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules)