Senior Data Scientist

In this role, you can expect to be responsible for:

• Opportunity Identification and value assessment:
• Help to identify opportunities for machine learning and automated data-driven services in our products.
• Assess potential value, risks and costs of new solutions
• Architect solutions derived from functional and non functional requirements


• Data Extraction and Analysis:
• Using a mastery of SQL, Query our petabyte-scale data warehouse to extract and work with data
• Conduct exploratory data analysis, statistical testing, and feature engineering
• Work with data engineers to form requirements for data pipelines and feature stores
• Review work from other team members to assess for accuracy and completeness 


• Machine Learning System Ownership:
• Develop and own end-to-end machine learning system(s) 
• Work with engineers to deploy models in a cloud environment (batch/real-time predictions, microservices, and monitoring).
• Assist junior members of the team with additional data systems
• Be a recognised expert in specific areas of machine learning within the business


• Statistical testing and experimental design:
• Work with stakeholders to design experiments and analyse results 
• Contribute to our Bayesian A/B testing platform 
• Communicate technical results clearly to non-technical audiences
• Promote a statistically driven approach to problem solving within the company


• Communication and Collaboration:
• Communicate project goals, progress, and outcomes with production, design, and engineering teams.
• Excellent presentational and data visualization skills
• Work closely with senior members of stakeholder teams to understand their future requirements

To be successful in this role, your background includes:

• Master's Degree in a STEM discipline, preferably thesis-based
• 4+ years of industry experience in data science, preferably in large scale client-facing software/web/application companies
• Expert level Python programming skills 
• Deep knowledge of machine learning libraries such as scikit-learn and PyTorch
• Experience deploying machine learning models into production
• Expert SQL skills and appreciation for data engineering principles
• Strong data visualization skills, preferably with Tableau
• Comfortable in cloud environments, particularly GCP and databricks
• Can drive projects independently, maneuver through imperfect data or experimentation, and pivot goals or targets with ease
• Ability to mentor and guide junior team members
• Communicates in a clear, concise, and professional manner with staff at all levels; justifies decisions, and achieves peer consent

Our success is due to the hard work of our people. We share our success with our people through flexible benefits and reward programs, sweet swag, snacks, and more. Here’s a look at some of the support we provide our people:

• Extended Health Coverage: effective day one, no waiting period! Our benefits cover health, dental, life, and disability, and extended paramedical services such as vision care, mental health practitioners, massage, physiotherapy, acupuncture, and much more.
• Flexible Spending Accounts: our benefits include commuter benefits, additional healthcare spending, and dependent care.
• 401K Matching: everyone retires eventually, and we help our people save for their futures with a contribution matching program for their 401K.
• PTO and Parental Leave: we offer paid parental leave, unlimited paid time off, paid time off for volunteering, sick leave, and holiday closures.
• Employee and Family Assistance Program: this program provides crisis management support, immediate mental health care, and generalized support for emotional, mental, and financial well-being.
• Learning and growth: we encourage people to grow both personally and professionally, and support this through regular lunch & learns and a stipend to a LifeBalanced account, which can be applied to learning as well as other personal expenses.
• Pay transparency: we share with employees the pay range their role falls within and clear career maps to determine how they can grow within their role or level-up to a promotion. 
• Cool spaces: our offices are in San Francisco, Los Angeles, Vancouver, Montreal, Prince Edward Island, and Seoul. Whether it’s trying new local eats while enjoying the view in downtown SF or DTLA - we want our people to feel like their time spent in office is worthwhile!
• Giving back: Kabammers have a dedicated paid day off every year to volunteer to a cause close to their hearts. Some teams even band together for group volunteer days off-site!
• Hybrid Work: Kabammers typically spend at least three days per week in office. We believe in blending in-office collaboration with the freedom of remote work, and want everyone to have flexibility while fostering strong connections.