Data Scientist

Data Scientist will be responsible for planning, executing and delivering machine learning-based projects. The bulk of the work will be in AI/machine learning modelling, management and problem analysis, data exploration and preparation, data collection and integration, operationalization

Duties & Responsibilities

What you'll do:

- Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
- Problem Analysis - Identify data-driven/ML business opportunities
- Collaborate across the business to understand business constraints
- Scope and manage data science projects
- Understand new data sources and process pipelines, and catalog/document them
- Work with various databases, and other source systems such as SQL or graph databases.
- (Help to) create data pipelines for more efficient and repeatable data science projects
- Generate hypotheses about the underlying mechanics of the business process
- Test hypotheses using various quantitative methods
- Display drive and curiosity to understand the business process to its core
- Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
- Testing of AI/ML models, such as cross-validation, A/B testing, bias and fairness
- Collaborate with other engineers, and IT to evaluate and implement AI/ML deployment options
- Establish best practices around AI/ML production infrastructure
- Upskill yourself (through conferences, publications, courses, local academia and meetups).
- Promote collaboration with other data science teams within the organization. Encourage reuse of artifacts.

The Individual

What you'll definitely need:

- A bachelor’s or master’s degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field such as, economics, engineering and physics is preferred. Experience in more than one area is strongly preferred.
- Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
- Must have basic coding knowledge and experience in several languages: for example, [C/C++, Python, R, Java, JavaScript, MATLAB, etc.]
- Experience with image analysis, including object detection, classification, and tracking from video or other 2D or 3D imagery a plus.
- Basic expertise in solving problems with: vision, text analytics, credit scoring, failure prediction, propensity to buy problems is preferable.
- They must demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment.
- Should be confident, energetic self-starters, with strong moderation and communication skills.

**Join us for a great career and competitive compensation & benefits whilst keeping the world a safer place.**

**Diversity & Inclusion**:
We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.

Smiths