Lead Data Scientist

Role & responsibilities

As a Lead Data Scientist, you will be responsible for identifying, scoping, and delivering data science projects with a strong emphasis on causal inference. The ability to take large, scientifically complex projects and break them down into manageable hypotheses and experiments to inform functional specifications, and then deliver features in a successful and timely manner, is expected. Maturity, high judgment, negotiation skills, ability to influence are essential to success in this role. We will rely on your experience in successfully delivering projects that significantly, positively, and measurably affect the business. You should also have experience in large-scale data science projects.

Work closely with the Tech team to convert those POC into fully scalable products. • Actively identify existing and new features which could benefit from predictive modelling and productionization of predictive models • Actively identify and resolve strategic issues that may impair the teams ability to meet strategic, scientific, and technical goals • Contribute to research and development of AI/ML techniques and technology that fuels the business innovation and growth of Mareana • Work closely with engineers to deploy models in production both in real time and in batch process and systematically track model performance • Encourage team building, best practices sharing especially with more junior team members

Preferred candidate profile

Strong problem solving skills with an emphasis on product development • Masters or PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field • More than 8 years of experience in practicing machine learning and data science in business or a related field, with a focus on statistical analysis • Strong background in statistics and causal inference. • Proficient in statistical programming languages such as Python or R, and data visualization tools (e.g., Tableau, Power BI). • Strong experience with machine learning algorithms and statistical modeling techniques • Strong computing/programming skills; Proficient in Python, Spark, SQL, Linux shell script. • Proven ability to work with large datasets and familiarity with big data technologies (e.g., Hadoop, Spark, SQL) is a plus. • Experience with end to end feature development (owning feature definition, roadmap development and experimentation • Effective leadership and communication skills, with the ability to inspire and guide a team. • Excellent problem solving and critical thinking capabilities. • Strong experience in Cloud technology.