Senior Data Scientist - NLP/Generative AI

Job Summary

We are seeking a highly skilled and experienced Senior Data Scientist with a strong focus on Generative AI and Natural Language Processing (NLP) to join our growing team.

You will play a crucial role in developing and implementing cutting-edge AI/ML solutions, leveraging your expertise in generative models, NLP, and deep learning to solve complex business challenges.

This role requires a deep understanding of advanced statistical and machine learning techniques, excellent communication skills, and the ability to collaborate effectively with product development and leadership teams.

Experience in a startup environment is a plus.

Key Responsibilities

• Data Acquisition & Automation : Identify relevant data sources and build automated data collection processes.
• Data Preprocessing : Preprocess structured and unstructured data to prepare it for model training and analysis.
• Model Development : Develop and innovate machine learning and deep learning algorithms, including generative AI models, NLP models, forecasting models, and network graphs.
• Model Building : Build predictive models, machine learning algorithms, and data pipelines for end-to-end solutions.
• Problem Solving : Propose data-driven solutions and strategies to address business challenges.
• Collaboration & Communication : Collaborate effectively with product development teams and communicate technical information clearly to senior leadership teams.
• Problem-Solving Sessions : Participate actively in problem-solving sessions, contributing your expertise and insights.
  
  

Required Technical Skills

• Generative AI : Extensive background in generative AI algorithms and deep understanding of generative models.
• NLP : Deep understanding of NLP algorithms, techniques, and applications.
• Deep Learning : Strong knowledge of deep learning architectures and frameworks.
• Machine Learning : Solid foundation in machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Statistical Modeling : Strong mathematical and statistical skills, including algebra and statistical modeling.
• Programming Languages : Fluency in at least one data science/analytics programming language (Python, R, Julia).
• Python is highly preferred.
• Data Pipeline Development : Experience building data pipelines for end-to-end solutions.
  
  

Preferred Skills

• Cloud Computing : Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Data Visualization : Experience with data visualization tools (i., Tableau, Power BI).
• Big Data Technologies : Knowledge of big data technologies (i., Spark, Hadoop).
  
  

Required Experience & Qualifications

• Education : Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research, or equivalent experience).
  
  

Experience

• 5-6years of advanced analytics experience, preferably in startups or marquee companies.
• Startup experience is a plus.
  
  

Personal Attributes

• Strong problem-solving and analytical skills.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly.
• Ability to work independently and as part of a team.
• Proactive, self-motivated, and results-oriented.
• Passion for AI/ML and its potential to solve real-world problems
  
  

(ref:hirist.tech)