At Mitratech, the business problem is to develop Artificial Intelligence products that simplify operations in the Legal, Risk, Compliance, and HR functions of companies worldwide.
Requirements
- Familiarity with vector databases, retrieval-augmented generation (RAG), or embedding pipelines.
- Knowledgeable in privacy-preserving ML, federated learning, or reinforcement learning.
- Experience with large-scale models (LLMs, foundation models) or multi-modal AI systems.
- Experience with experiment design and causal inference.
- Familiarity with big data tools (Spark, Hive, or Snowflake).
- Background in NLP, time series forecasting, or recommender systems.
- Proficiency in Python and Data Science libraries (pandas, NumPy, scikit-learn, statsmodels, etc.) or R.
Responsibilities
- Data Analysis & Exploration: Collect, clean, and explore structured and unstructured datasets to uncover patterns and insights.
- Model Development: Build, evaluate, and deploy predictive models and statistical algorithms.
- Experimentation: Design and analyze A/B tests and controlled experiments to assess product and feature performance.
- Business Insights: Translate analytical findings into actionable recommendations that influence business and product decisions.
- Collaboration: Partner with data engineers, product managers, and software engineers to integrate ML models and analytical pipelines into production systems.
- Continuous Learning: Stay up to date on new methods in machine learning, statistics, and data science tools, and apply them to improve workflows.
- Data Quality & Governance: Establish best practices for data validation, schema management, and observability to ensure data consistency and reproducibility.
Other
- Excellent communication, cross-functional collaboration, and documentation skills.
- Bachelor’s or Master’s in Computer Science, Machine Learning, Applied Mathematics, or related field
- 3+ years of experience as a data scientist developing models for enterprise applications.
- Experience with source code management tools such as Git
- We are an equal opportunity employer that values diversity at all levels.
