Senior Data Science Engineer

Company Overview

[Company overview was not provided in the original description.]

Job Summary

We are looking for a Senior Data Science Engineer to join our Advanced Analytics and Big Data Team. The main purpose of this role is to generate insights that enable data-driven decision making within the finance and financial services domain.

Responsibilities

• Problem Definition: Collaborate with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics.
• Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring data quality and consistency, while engineering features to enhance model performance.
• Exploratory Data Analysis (EDA): Utilize statistical methods and visualization techniques to uncover trends and validate assumptions, summarizing key insights for business alignment.
• Model Building and Evaluation: Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions.
• Deployment and Monitoring: Work alongside engineering teams to deploy models, establish performance monitoring, retrain models as necessary, and incorporate feedback to improve accuracy.

Qualifications

• Educational Background: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Experience: Minimum of 4-7 years of relevant experience focusing on advanced analytics and big data.
• Model Development: Proven experience in end-to-end model development to deployment and performance monitoring.
• Technical Skills:
  • Strong knowledge of Applied AI, Machine Learning (ML), and Deep Learning techniques.
  • Proficient in at least one programming language, preferably Python or PySpark.
  • Deep knowledge of machine learning algorithms including tree-based methods, clustering, regression, and classification techniques.
  • In-depth understanding of statistical concepts such as probability distributions, statistical tests, correlation analysis, and descriptive statistics.
• Communication Skills: Excellent communication skills to convey insights clearly to both technical and non-technical audiences.
• Stakeholder Management: Ability to manage different stakeholders and handle multiple projects simultaneously.
• Problem Solving: Strong analytical skills to transform business problems into data science problems.

Preferred Skills

• Advanced experience with Spark, Databricks, or the Azure technical stack.
• Experience with model deployment to cloud or on-premises environments.
• Good communication and presentation skills.

Experience

• Minimum of 4-7 years of relevant experience in data science, focusing on end-to-end data analysis and model building.

Environment

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Salary

[Salary information was not provided in the original description.]

Growth Opportunities

[Information regarding growth opportunities was not provided in the original description.]

Benefits

[Information regarding benefits offered was not provided in the original description.]