What You'll do
Lead and execute complex data science initiatives that support high-impact business decisions.
Responsible for the development, deployment, and communication of advanced analytical models.
Provides technical guidance to junior data scientists and partners closely with cross-functional teams to drive data-driven outcomes
Responsibilities
- Designs and implements advanced statistical and machine learning models to solve complex business problems.
- Leads full-cycle analytics projects, including problem definition, data exploration, model development, evaluation, and deployment.
- Collaborates with stakeholders to align data science solutions with business goals and priorities.
- Provides technical mentorship to junior team members and contributes to knowledge sharing across the team.
- Translates complex modeling outputs into actionable insights and presents findings to senior leadership.
- Stays current on industry best practices and emerging trends in AI, machine learning, and data science tools.
- Contributes to continuous improvement in analytical workflows, code standards, and data governance.
- Applies sound judgment to navigate ambiguous problems and propose scalable solutions.
- Performs other duties as required in support of the data science team and organizational goals.
Required Qualification and skills
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master’s preferred.Minimum of 4 years of experience in data science, machine learning, or advanced analytics.Advanced proficiency in Python or R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).Strong grasp of statistical analysis, experimental design, and model evaluation techniques.Excellent written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders.Demonstrated experience in leading complex data projects and driving measurable business outcomes.Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus.Benefits & Perks :
Not only will you be joining a highly skilled and tight-knit team where every engineer makes a significant impact on the product; we also strive for good work / life balance and to make our environment welcoming and fun.
Equity Rewards (RSUs)Employee Stock Purchase Plan (ESPP)Insurance plans with Outpatient coverNational Pension Scheme (NPS)Flexible work policyChildcare support