Verified Job
IT / Software / Data Analyst
Senior Data Scientist_
IT / Software / Data Analyst
#590553
Remote / WFH
Job Description
Roles and Responsibilities:
As a, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes.
• Engage with clients to understand current and future business goals and translate business problems into analytical frameworks
• Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies
Qualification:
Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
5+ years of experience in data science, building hands-on ML models
Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain)
Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning
Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models
Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.
Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.
Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
Advanced SQL skills with SQL Server and Spark experience.
Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment
Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
Experience with cloud platforms such as Azure, AWS is preferred but not required.
As a, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes.
• Engage with clients to understand current and future business goals and translate business problems into analytical frameworks
• Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies
Qualification:
Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
5+ years of experience in data science, building hands-on ML models
Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain)
Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning
Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models
Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.
Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.
Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
Advanced SQL skills with SQL Server and Spark experience.
Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment
Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
Experience with cloud platforms such as Azure, AWS is preferred but not required.
