Senior Data Scientist

Role and responsibilities:

• Design, implement, and deploy predictive and prescriptive models using Python and Data-bricks.
• Define and implement best practices for data ingestion, cleaning, and feature engineering.
• Optimize Spark jobs and workflows for scalability and cost-efficiency.
• Lead A/B testing and statistical validation of models.
• Implement robust pipelines for model deployment and monitoring.
• Work closely with business stakeholders to identify opportunities and deliver data-driven so-lutions.
• Coach junior team members and contribute to knowledge-sharing sessions.
• Stay updated on emerging trends in AI/ML and propose innovative solutions.

Technical Skills & Expertise:

• Advanced proficiency in Python (pandas, NumPy, scikit-learn, PySpark).
• Strong experience with Databricks and distributed data processing using Apache Spark.
• Solid understanding of SQL for data manipulation and query optimization.
• Expertise in building, tuning, and deploying ML models (classification, regression, clustering).
• Familiarity with MLflow for experiment tracking and model lifecycle management.
• Knowledge of deep learning frameworks (TensorFlow, PyTorch) is a plus.
• Hands-on experience with Azure Data Lake, AWS S3, or similar cloud storage.
• Understanding of Delta Lake and data versioning.
• Strong skills in data storytelling using tools like Power BI or Plotly.
• Experience with CI/CD pipelines for ML models and containerization (Docker).
• Ability to optimize Spark jobs and handle large-scale datasets efficiently.

Qualifications/Requirements:

• Education: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 5+ years in data science roles, with at least 2 years in a senior or lead capacity.
• Proven track record of delivering end-to-end ML solutions in production.
• Strong problem-solving and analytical thinking.
• Excellent communication skills for cross-functional collaboration.
• Languages: Fluent in English (written and spoken).

Desired Characteristics:

• Strong communication (both verbally and in writing) and interpersonal skills
• Fast learner, energetic, enthusiastic and ability to multi-task
• Business-focused, customer- & service-minded
• Flexible to work across time zones and with cross-functional teams.
• Results-oriented & work ethic to always deliver on-time and in-scope.
• Able to work under pressure and manage stressful situations confidently & effectively.
• Open-minded, positive attitude
• Self-motivated to work independently.
• Good team player, actively participating and contributing toward achieving our mission suc-cessfully.

Required skills:

• Python
• Apache Spark
• cross-functional
• Scikit-Learn
• AWS S3
• Docker
• ML Models
• Databricks
• MLFlow
• PySpark
• CI/CD
• Spark
• Delta lake
• Power BI
• SQL
• pytorch
• Deep Learning
• Analytical
• Azure Data Lake
• TensorFlow
• Pandas
• Production
• Ploty
• NumPy
• Problem Solving

Languages:

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