Lead Data Science
The goal of our data science team is to advance the field by integrating AI features into management software. We focus on enhancing functionality, user experience, and recreating workflows to take full advantage of AI technology.
Role Overview:
We are seeking a highly skilled and experienced Senior Data Scientist with strong background in developing machine learning models, preferably in finance and accounting sector. The ideal candidate will play a pivotal role in advancing our data science capabilities by building robust models that enhance decision-making processes and drive business intelligence.
Responsibilities:
* Design, develop, and implement machine learning models tailored for finance and accounting applications.
* Work closely with cross-functional teams to identify and define business problems that can be solved through advanced analytics.
Machine Learning Model Development:
* Collaborate with software engineers and data engineers to integrate machine learning solutions into existing systems.
* Demonstrate an interest in and familiarity with MLOps tools and practices to streamline deployment, monitoring, and management of machine learning models.
Generative AI:
* Explore and develop generative AI models to address challenges and opportunities in finance and accounting domain.
* Collaborate with research and development teams to stay at the forefront of generative AI technologies.
Cross-Functional Collaboration:
* Work collaboratively with finance and accounting experts, software engineers, and data engineers to leverage machine learning solutions.
Research and Innovation:
* Stay informed about latest advancements in data science, machine learning, and generative AI.
* Contribute to development of new methodologies and approaches to address unique challenges in finance and accounting industry.
Requirements:
* Advanced degree (MSc or PhD) in quantitative field such as Computer Science, Statistics, Mathematics, or related discipline.
* Proven experience (3+ years) in developing and deploying machine learning models, preferably in finance and accounting domain.
* Strong programming skills in languages such as Python or R.
* Experience with generative AI models and/or NLP is a plus.
* Familiarity with MLOps tools and practices.
* Excellent communication skills with ability to convey complex technical concepts to both technical and non-technical stakeholders.
Benefits:
* Annual bonus based on achievement of goals;
* Flexible work model;
* 25 days of vacation per year;
* Health insurance;
* Access to online learning platforms and in-house academy;
* Opportunities for training and certifications;
* Integration into dynamic, enthusiastic, and growing team.