Job Description: Data Science Consultant
At Deloitte Data Science & Machine Learning is one of the key drivers for our successful business growth. We are fully committed to delivering best class products and solution strategies. One such solution is People Prism, a family of solutions designed to solve challenges related to unique population identification, community activation and outreach, resource allocation, and policy and program efficacy.
We are looking for a Data Science Consultant with 2+ years of machine-learning modeling experience. The ideal candidate will have direct, hands-on experience working with a team of data scientists to wrangle and visualize data, perform statistical analyses, and build predictive machine-learning models using supervised, unsupervised, and semi-supervised techniques. The candidate should be a self-starter with and be capable of preparing scripts for model automation.
Responsibilities:
- Develop models using techniques such as gradient boosting, logistic regression, multivariate analysis, k-means and DBSCAN clustering, PCA, and topic modeling powered by LLMs.
- Use data visualization to understand data distributions and patterns and communicate findings to project lead.
- Apply analytical thinking and solve multiple challenges like data imbalance, overfitting, accuracy improvement etc. to improve model performance.
- Conduct entity resolution and data matching on large datasets to ensure data integrity and accuracy.
- Work on complex datasets, apply various statistical and data mining techniques for data exploration.
- Use data visualization to understand data distributions and patterns and communicate findings to project lead.
- Write near production-ready code that is efficient and scalable over large datasets.
- Ensure good code documentation practices to facilitate collaboration and future development.
- Work closely with product managers, engineers, and other stakeholders to translate business needs into data-driven solutions.
- Take initiative in exploring new data science techniques and tools to continuously improve our modeling capabilities.
- Contribute to the growth and success of the team by being a proactive and collaborative team member.
Skills & Qualifications:
Required:
- Strong mathematical and fundamental knowledge of Statistical and Machine Learning algorithms
- Strong programming skills in Python (Numpy, Pandas, Scikit, Matplotlib, Seaborn, Plotly, etc.) and SQL for data analysis, data wrangling, and database management.
- Strong understanding of gradient boosting, logistic regression and other classification algorithms.
- Experience in explainable AI, particularly SHAP.
- Deep knowledge of advanced analytics, data wrangling and Machine Learning Algorithms.
- Strong problem-solving skills with emphasis on product development.
- Ability to manage multiple projects at a time.
- Strong communication skills with the ability to convey complex concepts clearly.
- Should have Bachelor’s or Master’s degree in Engineering, Computer Science, Statistics, Mathematics or other quantitative field.
- Self-starter with the ability to take initiative and work independently in a small team environment.
Preferred:
- Experience working in Google Cloud Platform 
- Experience with entity resolution and data matching techniques.
- Knowledge of ML model deployment in any of the cloud services is appreciated
- Hands-on experience with prompt engineering and other GenAI or LLM-based applications like RAG, etc. 
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