Senior Data Scientist

Role & responsibilities

As a Senior Data scientist in our data science department, youll have the chance to: • Be accountable for end-to-end project delivery. Able to independently own and pitch/execute new analytics capabilities. Have a continuous communication with Solutions Engineering, Sales Engineering on accounts, deliverable timelines and progress of tasks. • Seek opportunities for understanding clients challenges and actively pitching custom or existing data science capabilities having 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 visualize 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 over existing solutions or able to build over existing capabilities • Drive new initiatives for operational excellence within the team within data science, coding, product and tech • Working with local leads to align to respective regional strategies. Identify opportunities and provide updates on teams capabilities and support on account where needed • Able to generalize capabilities and workflows increasing team’s efficiency • Initiatives to research and come up with new ideas to experiment and leading up 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 delivers the best towards organization'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

Preferred candidate profile

• 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 with working at scale using (Pyspark/Rspark) • Strong hands on experience of applying ML techniques to business problems. Should have a good understanding of statistics. • Good measurement mind frame for measuring 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. We’ve highlighted some key skills, experience and requirements for this role. But please don’t worry if you don’t meet every single one. Our talent team strives to find the best people. They might see something in your background that’s a fit for this role, or another opportunity at MiQ.