Data Scientist

About the Position

We are looking for a Senior Data Scientist to join our fintech team, focusing on pricing optimization for insurance companies using an ensemble of predictive models. The tech stack includes: pandas, numpy, PyTorch, SHAP, and scikit-learn.

Responsibilities

• Create statistical summaries to support hypothesis testing and data-driven decisions during EDA
• Implement data preparation and feature engineering pipelines for the models
• Plan and implement algorithms for predictive modeling
• Provide continuous improvement of models in production
• Lead the ML-driven Python coding for end-to-end model deliveries
• Support our ML-related libraries
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers, ML engineers, data analysts, and DevOps specialists
• Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning, and model improvement in general
• Generate detailed evaluation reports, summarizing key findings and presenting actionable insights to stakeholders
• Keep up with tight deadlines, agile environment of work with evolving objectives and KPIs, having the highest level of organization and self-management to provide full work clarity, extensive tracking, and documentation of your work

Requirements

• Experience with Time Series: Deep understanding of time series forecasting (Trend, Seasonality, Stationarity). Experience with ARIMA/SARIMA, Prophet, Exponential Smoothing models.
• Python Stack: Proficiency in Pandas, NumPy, Scikit-learn. Experience with deep learning frameworks (PyTorch or TensorFlow) for building recurrent networks (LSTM, GRU).
• Scoring & Classification: Ability to build scoring models, work with logistic regression, decision trees, and ensembles (XGBoost, CatBoost, LightGBM).
• Data Engineering: Skills in SQL (PostgreSQL/MySQL), handling large volumes of data, cleaning from "noise" and filling in missing values.
• MLOps: Understanding of the model lifecycle - from experiments in Jupyter to deployment in Production (Docker, FastAPI).

We Offer

• Competitive remuneration package
• Bonuses
• Professional mentorship and guidance from experienced team members
• Opportunities for professional growth and continuous learning
• A dynamic and collaborative work environment

About the Company

DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, Python engineers, DevOps, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency.

Our Values:

• Efficiency: We employ an agile approach to ensure timely delivery of high-quality solutions.
• Professionalism: Our commitment to excellence drives us to achieve success for our clients.
• Creativity: We utilize design thinking to develop innovative solutions that address complex business challenges.
• Care: We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.

Learn more about us