Associate Manager - Senior Data Scientist

About the job

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.

Requirements

• AI
• ML
• Python
• SQL
• Data Science

Qualifications

• Bachelor's or Master's degree in a quantitative field
• CS
• Mathematics
• Statistics

Preferred Technologies

• AI
• ML
• Python
• SQL
• Data Science