Senior Data Scientist

1 month ago

Johannesburg, South Africa DVT Full time

DVT is one of the top software development and testing companies on the continent. 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.

**Education & Experience**:

- 5+ years of experience as a data scientist, with a focus on machine learning and predictive modelling
- 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:

- Programming Languages such as Python, R, Scala, and SQL.
- Data Processing and Analysis tools such as NumPy, SciPy, and Pandas.
- Big Data technologies such as Hadoop, Spark, and Hive
- ML frameworks and Libraries such as: Scikit-learn, TensorFlow, Keras, PyTorch
- Experiment Management Tools such as: MLFlow, DVC, and TensorBoard
- Data Visualization tools such as Tableau, PowerBI, Matplotlib, and Seaborn
- Cloud technologies such as AWS, Azure, GCP, or Databricks

**Strong knowledge and understanding of**:

- Various Supervised Learning Algorithm such Regression, Decision Trees, Random Forests, Support Vector Machines, K-Nearest Neighbours
- Various Unsupervised Learning Algorithms: K-Means, Principal Component Analysis

**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

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