Senior Data Scientist

Our SaaS revolutionizes financial operations for eCommerce businesses! Our cutting-edge SaaS solution blends automation, AI, and human expertise to deliver real-time bookkeeping services. We empower our customers to make data-driven decisions by transforming their financial information into actionable insights.

We tackles the complexities of eCommerce financial data. Our Data team is at the forefront, solving intricate problems like transaction classification and data reconciliation. If you thrive on analytical challenges and want to see your solutions make a real-world difference, this is the place for you.

What you'll do:

• Research and develop machine learning projects up to deployment in production.
• Model, design and implement solutions that do not have an off-the-shelf solution.
• Be responsible and own features - design, implement, monitor, measure, iterate
• Interact with domain experts, developers and data team
• Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems.

Some about our infra: Airflow, Airbyte, K8S, Superset, Snowflake, PostgreSQL, Athena

What you'll bring:

• 5+ years of proven experience in machine learning, data science, or statistical/probabilistic modeling.
• Academic degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or a related quantitative field.
• Demonstrated ability to translate business requirements into production-ready technical solutions.
• Proficiency in Python or another general-purpose programming language.
• Naturally curious, independent, and results-driven.
• Strong collaborative and team-oriented mindset.
• Advantage - Prior experience with Spark for large-scale data processing.