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Senior Data Scientist
Job Description
We are looking for a Senior Data Scientist to deliver impactful AI solutions using statistics, machine learning, and NLP across real-world constraints. You will own work end-to-end from data prep through deployment, partnering with cross-functional teams to ship scalable outcomes.
Responsibilities
Responsibilities
- Deliver AI solutions including classification, clustering, anomaly detection, and NLP
- Apply statistical methods and machine learning algorithms to solve complex problems
- Write production-ready code and conduct data analysis using Python and SQL
- Design model development workflows and implement feature engineering methods
- Leverage Azure AI Search to improve business access to data and models
- Collaborate with developers and project managers while using GitLab and Jira
- Enhance data pipelines and optimize model performance for real-world use cases
- Communicate technical concepts clearly to audiences with different levels of expertise
- Apply emerging technologies to project work and demonstrate strong problem-solving skills
- Contribute to Agile workflows and handle UNIX command line tasks as needed
- Proven track record with 5+ years of professional experience in Data Science
- Deep understanding of statistical data analysis, machine learning, and NLP with practical trade-offs in mind
- Hands-on experience with Python programming and SQL, including data analysis libraries used in practice
- Solid background in AI solution development such as classification, clustering, or NLP
- Working knowledge of ML Ops and feature engineering approaches for model workflows
- Practical ability to use Azure AI Search to deliver business-oriented model access
- Strong familiarity with software development methodologies and version control tools like GitLab
- Experience with project tracking tools like Jira and Agile workflows
- Comfort with UNIX command line usage and applying innovative technology solutions
- B2 level of English (Upper-Intermediate) or higher with strong technical communication ability
- Familiarity with Cloud Computing, Big Data tools, and containerization solutions
- Ability to use data visualization tools to present insights clearly
More Info
Key Skills
UNIX command line
Feature engineering
ML Ops
Agile workflows
Azure AI Search
About Company
Skills:
data preparation , model development , Machine Learning, Qlik Sense, Power Bi, Git, MLops, Gcp, Data Visualization, Python, Feature Engineering, Deployment, CI CD, Llm, Training, Cloud Platforms, Agentic AI
Skills:
Machine Learning, Clustering, Sql, Deep Learning, Neural Networks, Predictive Modeling, Python, Decision Trees, Ai, Ensemble methods, Model training, Feature engineering, Data ingestion, Responsible AI, Explainable AI
Skills:
Pyspark, Sql, Nlp, Pytorch, Databricks, Python, MLops, LangChain, Generative AI, MLflow, LangGraph, Agentic AI, LLM APIs, Azure AI services, LLMs, AI governance frameworks, Medical text analytics, Knowledge graphs, clinical decision support, Multimodal AI, CI/CD for ML
Skills:
Hypothesis Testing, Sql, Pandas, Gcp, Docker, Azure, Python, AWS, Logistic Regression, Shiny, scikit-learn, APIs in R, mixed-effects models, R, Bayesian Methods, Statistical Modeling, data.table, tidyverse, time-series analysis
Skills:
Machine Learning, Power Bi, Databricks, Tableau, SageMaker, Vertex AI, CI CD pipelines, MLOps frameworks, cloud AI platforms, LLM orchestration