Remote Senior Data Scientist

Description:

• Tala is on a mission to unleash the economic power of the Global Majority, serving millions of customers across three continents.
• The company has raised nearly half a billion dollars from equity and debt and has been recognized by various prestigious lists including Fortune Impact 20 and CNBC’s Disruptor 50.
• Tala provides a unique platform that enables lending and other financial services, helping people in emerging markets start and expand small businesses and manage their financial goals.
• The role of Senior Causal Inference Data Scientist involves leading data science initiatives focused on financial inclusion.
• Responsibilities include embedding with business stakeholders to identify and implement data science solutions, owning the full cycle of machine learning products, proposing and analyzing large-scale online experiments, and mentoring junior team members.

Requirements:

• Candidates must have 4+ years of experience in a data science role or equivalent position.
• A minimum of 2+ years in a senior or lead position executing end-to-end machine learning solutions for business stakeholders is required.
• Fluency with Python and related machine learning packages is essential.
• Comfort with SQL is necessary for this role.
• Experience with the full modeling cycle, including scoping, development, deployment, after-sale, and monitoring, is required, along with demonstrated business value in previous roles.
• Competency with statistics and knowledge of experimental design and analysis, as well as previous experience with causal machine learning, is needed.

Benefits:

• Tala offers a remote-first work environment with offices in multiple countries, promoting flexibility and work-life balance.
• The company values diversity and inclusion, hiring talented individuals from various backgrounds and experiences.
• Employees have the opportunity to make a significant impact on financial inclusion and contribute to a mission-driven organization.
• Mentorship and professional development opportunities are available, fostering growth within the data science team.