Founded in 2011, Altenar is a leading igaming software provider inspired by the vision of our customers. As our platform has scaled we have begun to generate high volumes of transactional data which can be potentially mined to generate additional insights. The Altenar Intelligence Platform (AIP) is the long term vision for unlocking this potential.
Altenar is interested in recruiting the services of a Data Scientist to work closely with various Product and Business stakeholders, as well as with Technology teams, to solve complex business questions using cutting-edge data science and NLP methodologies. The role requires outstanding communication skills, proven ability to build and manage large-scale modelling projects, identify data requirements, build methodology and tools that are well researched, and backed by strong documentation. The candidate will be expected to demonstrate familiarity with concepts such as ETL, machine learning and statistics.
The successful applicant should illustrate comfort working in a startup environment, possessing high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology that powers Alternar business objectives. We seek someone with a high degree of ownership that can consistently deliver superior quality results on-time. The successful candidate should be able to rapidly prototype analytical models with the goal of generating strategic business insights as per the needs of the AIP roadmap.
This position requires a candidate who can work independently, navigating through various programs and initiatives to uncover new opportunities. A deep understanding of data structures, and extensive experience in data analysis or programming are essential.
The activities of a Data Scientist include but are not limited to:
- Continuously refine skills in SQL, Python/R for complex mathematical analysis.
- Collaborate with cross-functional teams to define data collection and storage strategies, ensuring efficient data flow and integration.
- Develop and deploy analytical applications, utilizing various types of analytics (descriptive, diagnostic, predictive, prescriptive) to inform business decisions.
- Create and manage dashboards and reports with BI tools, catering to the needs of internal stakeholders.
- Contribute to software architecture discussions, emphasizing data handling and visualization.
- Engage in the design and testing of new data services tools, ensuring scalability and efficiency of data processing and analysis.
- Creating and maintaining documentation for the solutions provided
Qualifications
- Experience with Data Lab concepts with Hue, Zeppelin, Jupyterhub
- Experience working with python and pandas
- Demonstrated experience in building, testing and validating machine learning algorithms
- Strong SQL querying skills
- Knowledge of noSQL and ETL operations
- Strong math and statistics background (relevant Degree education required)
- Proven experience with one or more BI tools (Metabase, Apache Superset, Redash, PowerBI, Tableau, Qlikview)
- Strong research and validation skills
- Motivated and self-driven to work in an environment with minimal supervision
- Strong presentation skills
- Proficient in spoken and written English
- Experience in Data Analytics, Data Science, or Product Management roles
- Graduate-level education in Computer Science, Engineering, Math, Statistics, Economics, or other relevant field
Preferred
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch. This includes understanding neural networks, reinforcement learning, and natural language processing (NLP) techniques which are increasingly becoming important in data science.
- Experience in training, fine-tuning, and deploying Machine learning models especially neural networks
- Theoretical knowledge and proven experience in the application of large language models (LLMs) considered a plus
- Understanding of DevOps principles applied to data science, including continuous integration/continuous deployment (CI/CD) for machine learning models, containerization tools like Docker, and orchestration tools like Kubernetes. This ensures that data science projects are production-ready and scalable.
- Experience with Spark core functionality such as Spark SQL, Spark Structured Streaming is very desirable
- Experience in using Git version control in the context of documentation/source code management
- Knowledge of AutoML tools and platforms that automate the process of applying machine learning to real-world problems, reducing the time required to develop and tune models.
- Familiarity with project management tools (e.g., Jira, Trello) and experience working within agile development environments. This helps in ensuring that data science projects are aligned with business objectives and delivered efficiently.
- Understanding of data ethics, privacy laws, and regulations, including GDPR, CCPA, etc., is crucial in today's data-driven environment to ensure that data handling practices are compliant and ethical.
Benefits:
- Stable and flexible working environment
- Career Growth Opportunity
- Training and professional development events
- Health insurance
- Competitive Remuneration and Benefits
- Teamwork and Accountability
- Sense of Community and Defined Company Culture
- International Work Environment
- Diverse Workplace
- Modern comfortable office in the centre of St Julians
- Corporate parking near our office
- Relocation support (negotiable)
- Gym reimbursement