Senior Data Scientist

Responsibilities:

• Seek opportunities for understanding clients' challenges and actively pitch custom or existing data science capabilities with business impact
• Ability to provide recommendations and actionable outcomes from the outputs generated and create a narrative to be shared with the market.
• Should be able to visualise the outputs easily understood by stakeholders and stitch a story linking to other media aspects being presented.
• Drive growth of generalised capabilities over MiQ's or open-source data sources.
• Able to identify, infer and evaluate capabilities to enhance current solutions or create new ones.
• Scale strategic accounts by improving existing solutions or building on existing capabilities.
• Drive new initiatives for operational excellence within the team within data science, coding, product and tech.
• Work with local leads to align with respective regional strategies.
• Identify opportunities and provide updates on the team's capabilities and support on account where needed.
• Able to generalise capabilities and workflows, increasing the team's efficiency.
• Initiatives to research and come up with new ideas to experiment with, leading to new capabilities creating business impact.
• Research new developments across data science and educate team members by trying new POCs.
• Should be able to mentor and guide new hires or interns.
• Active participation in recruitment, designing and managing assignments and interviews.
• Committed to delivering the best towards the organisation's goals and values.
• Provide constructive feedback to counterparts and work on received feedback.
• Drive brainstorming sessions/ Hackathons/sharing best cases within the team or externally.

Requirements:

• Experienced coder in Python/R.
• Strong understanding of ML algos and applications.
• Experienced in SQL and good hands-on Excel.
• Experience working in cloud environments, preferably AWS.
• Ability to write and productionize data pipelines and ML models in a cloud-based environment.
• Experience working at scale using (Pyspark/Rspark).
• Strong hands-on experience applying ML techniques to business problems.
• Should have a good understanding of statistics.
• Good measurement-minded frame for measuring the impact of ML models.
• 4+ years of experience in applying machine learning, statistical pattern recognition, and data mining algorithms to prediction problems.
• Maintaining code versions and experience working in an agile mode.
• A can-do attitude, with a dream to grow alongside us.