DVT is a global custom software development and data engineering company. With our remote and hybrid options, our vision is to be South Africa's favourite custom software solutions & services company, with a global footprint. You will have the opportunity to work alongside some of the most established developers in the country with the latest technologies. DVT is committed to continuously training our staff and we are very proud of our culture of learning, from internal speaking and training to sponsoring a variety of technical events from DevConf to GDG.
DVT is looking for a Lead Data Scientist to assist on a complex and intricate project in the renewable energy sector.
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 learn, 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 demonstrable 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.
Interview Process:
Recruiter call.
Online Assessment / Take Home assessment.
Technical Interview.
Decision & Feedback.
Who we are:
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