job description - Lead/Senior Data Scientist
Education & Experience:
- 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
Roles and 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
Behaviour Competency:
- Self-motivated, proactive and results-oriented
- Strong analytical and problem-solving skills
- Ability to work in a fast-paced, dynamic and collaborative environment
- Comfortable with ambiguity and able to adapt to change
- Ability to work independently and as part of a team
- Passion for learning new technologies and staying up to date with the latest trends in data science and machine learning
- Excellent written and verbal communication and collaboration skills
- Shows promising leadership abilities
- Strong business acumen
Report
About the company
0 followers
Follow
DVT develops business software and provides consulting and IT support for companies.