Lead/Senior Data Scientist
closed
DVT
📍Remote - South Africa
Summary
Join DVT, a global custom software development and data engineering company, as a Lead Data Scientist to assist on a complex project in the renewable energy sector. With remote and hybrid options, you'll work alongside established developers with the latest technologies.
Requirements
- 8+ years of experience working on Data Science projects and ideally having led some of them
- Bachelor’s, Master's or PhD in Computer Science, Statistics, Mathematics, or a related field. A Master’s degree is preferred
- Certifications in data science, machine learning, or related fields are a plus
- Strong knowledge and extensive experience in: Knowledge of tools such SQL, Sci-Kit lean, Pandas, Numpy, jupyter notebook
- Exceptional knowledge of Machine Learning techniques on both the supervised and unsupervised learning fronts
- Exceptional knowledge of time series forecasting
- Track record and demonstratable knowledge of using the above algorithms to solve problems at client or at their employer
- Well versed and good understanding on MLOps best practices and has been a part of a team that has taken models to prod, ideally at scale
- Knowledgeable of MLOps tools like MLFlow, DVC, Airflow or cloud MLOps environments like Sagemaker, Azure ML studio of GCP’s vertex AI (Nice to have if they have practical experience)
- Databricks experience is advantageous
Responsibilities
- Work independently on complex projects
- Design and implement complex predictive models or algorithms to drive business growth and improve customer experiences
- Identify patterns and trends in data to drive insights and recommendations for business decisions
- Design experiments and A/B testing to validate hypotheses and assess impact of data-driven solutions
- Mentor and provide guidance to junior and intermediate data scientists
- Be involved in project management and strategic decision-making
- Be involved in data pipeline architecture design and implementation Collaborate with cross-functional teams to gather requirements, design solutions, and implement models
- Communicate findings and recommendations to non-technical stakeholders in a clear and concise manner
This job is filled or no longer available