Senior Data Scientist - Time Series Forecasting

Description :

Time Series, Forecasting, ML is important.

Key Responsibilities :

- Develop deep learning frameworks for time series data.

- Work with identity domain experts to refactor heuristic logic into an algorithmic framework.

- Articulate trade-offs in model interpretability, generalization, and operational complexity, justifying the use of algorithmic models from both performance and deployment perspectives.

- Demonstrate where and why learned representations outperform the heuristic approach (e.in edge case detection, false-positive reduction, adaptive behavior over time).

- Architect and implement end-to-end machine learning solutions for digital identity resolution.

- Collaborate with engineering teams to ensure model scalability, reliability, and performance in production environments.

- Partner with product and operations teams to define success metrics and monitor model impact.

Qualifications :

- 5+ years of experience in data science or machine learning roles.

- Proven experience in coding and delivering deep learning solutions for time series data.

- Strong proficiency in Python and SQL; experience with ML libraries such as TensorFlow/Keras, PyTorch/NeuralForecast, or aeon.

- Experience with cloud platforms (preferably AWS) and distributed computing frameworks.

- Experience working with large datasets using EMR and/or Snowflake.

- Proven experience building and deploying deep learning models in production environments.

- Excellent communication skills and the ability to influence technical and non-technical stakeholders.

- Bachelors degree in computer science & engineering.

Preferred Qualifications :

- Experience with Snowflake Cortex.

- Familiarity with MLOps practices and tools (e., MLflow, SageMaker, Airflow).