Lead Data Scientist
- Posted 2 days ago
- Be among the first 10 applicants
Job Description
- Bachelor's or higher degree in Computer Science, Electrical Engineering or a quantitative field, with a strong research orientation and at least 7 years of relevant experience in data science
- Deep expertise in modern machine learning techniques, mathematical foundations, and hands-on experience with leading ML frameworks (such as scikit-learn, Keras, TensorFlow, PySpark, MLlib, etc.)
- Extensive experience with distributed computing platforms and scalable data processing (e.g. Spark)
- Advanced programming skills, preferably in Python, Scala, or similar languages, with a track record of delivering robust, production-grade solutions
- Proven ability to lead and deliver large-scale machine learning projects end-to-end—from problem definition, data exploration, and modeling, to deployment and production monitoring
- Demonstrated experience in mentoring junior data scientists, including setting technical direction and driving best practices
- Strong business acumen and the ability to translate complex data-driven insights into actionable strategies that create significant business impact
- Skilled in designing, executing, and scaling A/B or multivariate experiments to validate and optimize data science solutions
- Excellent communication and stakeholder management skills, with experience collaborating across business, product, and engineering functions
- Proven track record of driving innovation and staying current with the latest advancements in machine learning and data science
More Info
About Company
Skills:
Sql, Tensorflow, Pytorch, Python, Predictive Analytics, Cnn, Power Bi, Tableau, Nlp, Rnn, Data Visualization, Clustering, Generative AI, machine learning frameworks, Hugging Face, Digital Marketing Strategies, Classification, deep neural network models, conversational AI solutions, Regression, Transformers, performance optimization, classical analytics tools, NLP models, OpenAI, customer acquisition analytics
Skills:
Nlp, Git, Pytorch, Docker, Statistical Analysis, Kubernetes, PEFT, pgvector, scikit-learn, Huggingface transformers, vLLM, Containerisation, LangGraph, dvc, spaCy, LoRA fine-tuning, Large Language Models
Skills:
data engineering , Advanced Analytics, Advanced Excel, Sql, Predictive Modelling, Data Modelling, Python, Model governance, Explainability principles, scenario analysis, AI-driven analytics, ETL processes, Credit risk analytics, Relational Databases, Data quality best practices
Skills:
Databricks, Tensorflow, Github, Pandas, Numpy, Azure Machine Learning, Machine Learning, MLops, Azure Functions, Pytorch, Python, Kubernetes, Docker, XGBoost, Azure DevOps, Azure Monitor, Application Insights, MLflow, scikit-learn, Azure Container Apps, LightGBM
Skills:
Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Pca, Sql, Random Forest, Nosql, Neural Network, Pandas, Gcp, Numpy, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT