ETIC Senior Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Line of Service
AdvisoryIndustry/Sector
TechnologySpecialism
Advisory OtherManagement Level
Senior AssociateJob Description & Summary
Data Science Engineer leverages machine learning data science and AI technologies to tackle complex business problems and provide datadriven insights across diverse industries. This role involves developing predictive models conducting data analysis and optimizing business processes through intelligent systems in areas such as classification forecasting customer segmentation anomaly detection and generative AI applications like RetrievalAugmented Generation (RAG).Key Responsibilities:
Design develop and deploy machine learning models and datadriven solutions for various applications such as predictive analytics business forecasting customer insights and generative AI applications.
Build and maintain endtoend data science and machine learning pipelines for scalable model development training and deployment in production environments.
Conduct exploratory data analysis (EDA) and feature engineering to derive actionable insights from structured and unstructured data.
Develop and implement retrievalaugmented generation (RAG) models combining searchbased retrieval with generative models to enhance the performance of NLP tasks like document generation question answering and knowledge retrieval.
Collaborate with stakeholders to understand business challenges and translate them into data science and machine learning problems.
Continuously evaluate and refine models and algorithms ensuring accuracy robustness and relevance as business needs evolve.
Stay uptodate with the latest trends and advancements in machine learning AI data science and generative models to integrate cuttingedge techniques into solutions.
Required Skills & Experience:
4 years of experience in AI/ML engineering data science with a strong focus on building deploying and scaling datadriven solutions.
Experience in data science fundamentals such as statistical analysis hypothesis testing data cleaning and visualization.
Proficiency in Python and essential libraries for data science including pandas NumPy Matplotlib seaborn and scikitlearn for model building and data analysis.
Strong experience with machine learning algorithms and techniques including supervised and unsupervised learning (e.g. regression classification clustering PCA).
Handson experience with deep learning techniques and frameworks such as TensorFlow PyTorch and Keras for neural networks.
Familiarity with Natural Language Processing (NLP) using tools such as spaCy NLTK Hugging Face Transformers and knowledge of models like BERT GPT and T5 for text analysis sentiment analysis and language modeling.
Experience with retrievalaugmented generation (RAG) models including combining information retrieval and generative models for tasks like document generation question answering and knowledgebased dialogue systems.
Familiarity with generative AI technologies including GANs (Generative Adversarial Networks) VAE (Variational Autoencoders) and transformerbased models for various generative tasks such as content generation and image synthesis.
Experience with model evaluation techniques like crossvalidation A/B testing and hyperparameter tuning to ensure model robustness and reliability.
Knowledge of cloud platforms for deploying models at scale such as AWS SageMaker Google Cloud AI or Azure Machine Learning.
Strong ability to perform exploratory data analysis (EDA) identifying trends correlations and outliers to drive actionable insights.
Experience in data visualization to communicate findings effectively using tools like Matplotlib Seaborn Tableau or Power BI.
Solid understanding of data preprocessing including feature engineering normalization and handling missing data to prepare datasets for analysis and model training.
Strong analytical thinking and the ability to work with large complex datasets to derive actionable insights and support business decisions.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline Data Quality Data Transformation Data Validation 18 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
