Senior Data Scientist
About The Position
Seeking a Senior Machine Learning Engineer with 5+ years of experience developing, deploying, and maintaining Machine Learning solutions in production environments. The role requires strong expertise in Machine Learning, Python, Snowflake, and MLOps, along with hands-on experience building end-to-end ML pipelines, predictive models, feature engineering, forecasting, and data-driven solutions. The ideal candidate will design and deploy scalable ML models, analyze large datasets to generate business insights, collaborate with engineering teams, monitor model performance, and deliver production-ready solutions. Experience with Scikit-learn, Pandas, NumPy, SQL, and cloud data platforms is required. Experience: 5+ years (Band 4).
Requirements
- 5+ years of experience developing, deploying, and maintaining machine learning solutions in production environments.
- Strong expertise in machine learning, Python, Snowflake, and MLOps.
- Hands-on experience building end-to-end ML pipelines, predictive models, feature engineering, and forecasting solutions.
- Experience with Scikit-learn, Pandas, NumPy, SQL, and cloud data platforms.
Responsibilities
- Design and deploy scalable machine learning models.
- Analyze large datasets to generate business insights.
- Collaborate with engineering teams.
- Monitor model performance.
- Deliver production-ready solutions.
- Develop, deploy, and maintain machine learning solutions in production environments.
- Build end-to-end machine learning pipelines, predictive models, feature engineering solutions, and forecasting solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
