Data Scientist

Job description

Data Scientist

As a data scientist within our delivery team, you will be leveraging a multitude of big data, ML and statistical methods to help our customers realize the potential of modern data science and data-driven approaches. You will be working from an end-to-end basis by building the data pipelines needed for your models, building/optimizing the models and enabling your data driven outputs to be leveraged by both stakeholders and downstream applications. We work across several public sector and commercial clients, thus allowing your data expertise to help facilitate positive outcomes across a broad range of sectors.

 Why Join Us?

Join our team of leading data engineers, machine learning researchers, and data scientists who are building the next generation of AI Customer Assisted Analytics technology. Syntasa leverages proven streaming, machine learning, visualization, and big data technologies to process billions of records in real-time, resulting in actionable intelligence that improves acquisition, conversion, and retention. This provides a unique opportunity to be a part of a growing team in a fast-paced and evolving environment that delivers business impacts from data-driven recommendations.

 Required Qualification

• At least 2 years’ experience in an analytical role as a data scientist, analyst or machine learning engineer
• An ability to work with data using SQL and tools for statistical analysis (eg. Python, R)
• Solid knowledge of statistics and probability, with demonstrated experience applying these techniques to commercial use cases such as ML models and A/B tests
• Demonstrated experience of developing, deploying and maintaining ML models and data pipelines within a commercial setting.
• Demonstrated experience of translating business and/or project requirements into insights, models and data products that generated tangible business value.
• An ability to work effectively in a team setting and familiarity with commercial collaboration tools such as JIRA, Confluence,
• A strong communicator able to present data driven insights to non-technical stakeholders while also having fruitful conversations with engineering teams
• Curiosity and attention to detail with regards to data quality, distributions, biases and governance.
• An ability to work effectively within a fast paced and dynamic environment.
• An awareness and keen interest in the latest trends / techniques within data, machine learning and AI.

Skills

• Fluent in Python/Scala/R as well as SQL/NOSQL with demonstrable experience.
• Experience with Apache Spark
• or other Big Data tools like Apache Flink/MapReduce
• Familiar with Big Data tools such as EMR/ Dataproc /Cloudera/Hortonworks
• Familiar with orchestration tools such as Airflow/DBT/NiFi
• Experience with LLM’s and GPT models a plus.

 Preferred qualifications

• Experience with cloud solution providers such as GCP, AWS and Azure

• Prior experience building robust and reusable code

• Prior experience using notebooking technologies such as Jupyter/Colab notebooks.

• Knowledge of NLP and Image processing algorithms.

• Prior experience with REST APIs

• An understanding of version control, modularity and maintaining code within a production setting.

• An understanding of the web analytics and digital marketing ecosystem (eg. Adobe, Salesforce, Google)

• Prior experience working with DMPs and CDPs

• Prior consulting experience