Sr Data Scientist Consultant

Client Description:

The largest global TMT strategy firm is looking for a Sr Data Scientist Consultant that is focused on developing a suite of advanced analytics products and supporting business strategy consulting teams to meet the evolving needs of our clients.

Candidate Profile:

• Experience working with GCP, AWS, Azure or other cloud platforms.
• Experience using a distributed compute solution such as Spark.
• Deep knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques.
• Experience with delivering solutions using LLM’s including embedding, RAG, prompt engineering including (DSPpy) Fine Tuning for LLMs and SLMs.
• Expert at model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches.
• Experience in mathematical modeling and optimization using tools that include linear, mixed-integer, and constraint programming.
• 3 years of experience in predictive analytics using statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Scala, and/or Spark.
• 1-3 year of experience in data science in a consulting environment.

Responsabilities:

• Experience with applying statistics and data science tools on large datasets.
• Experience with supervised and unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques.
• Experience with delivering solutions using LLM’s including embedding, RAG, prompt engineering including (DSPpy) Fine Tuning for LLMs and SLMs.
• Experience with Python and/or R machine learning libraries.  Extensive experience with data preparation (normalization, scaling, etc.) for modelling.
• SQL mastery, including techniques for writing efficient code over large datasets.
• Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models.
• Balances desire for quantitative rigor with realities of inconsistent business data.
• Attention to detail and time management delivering high quality work while meeting deadlines.
• Ability to excel as an individual contributor as well as communicate effectively with project teams.
• 2-4 years’ experience specializing in data science and machine learning or comparable work experience.