Neudesic is seeking a Senior Consultant - Data Scientist to help clients drive business value through technology, specifically in data management, real-time analytics, predictive analytics, and data visualization.
Requirements
- 3+ years of hands-on experience in building and deploying machine learning and/or generative AI solutions in a business environment
- Proven expertise with Databricks and Microsoft Fabric for data engineering and ML workflows
- Proficient in Python (including ML/AI libraries such as scikit-learn, PyTorch, TensorFlow) and SQL
- Strong understanding of statistical modeling, machine learning, MLOps, and large language models (LLMs)
- Experience with cloud platforms, especially Microsoft Azure (Azure Machine Learning, Azure Data Lake, etc.)
- Familiarity with modern data engineering tools and orchestration frameworks (e.g., dbt, Apache Airflow, Delta Live Tables)
- Experience with data visualization and BI tools (e.g., Power BI, Tableau)
Responsibilities
- Architect solutions by mapping client business problems to end-to-end technology solutions
- Engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization
- Deliver ML/DL projects to successful completion
- Partner with solution architects to drive client success
- Partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results
- Assist in creating sales assets that clearly communicate our value proposition to technical decision makers
- Operationalize ML models and pipelines in production environments
Other
- Bachelors degree in a quantitative field (e.g., Computer Science, Engineering, Business Analytics, Statistics, Mathematics); advanced degree preferred
- Demonstrated ability to work with large, complex datasets and relational/cloud-based databases
- Ability to communicate complex analytical and technical concepts to both technical and non-technical audiences
- Strong data storytelling skills and ability to drive insights from exploratory and visual analysis
- Intellectual curiosity, strong problem-solving skills, and a collaborative, team-oriented mindset
