Data Scientist

M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. M Science is revolutionizing research, discovering new data sets, and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data, and technology to create a truly unique value proposition for both financial services firms and major corporations.

Introduction

M Science is seeking a highly skilled Data Scientist to design and develop pipelines and AI/ML models and workflows on our 50+ alternative data panels. The ideal candidate will have deep expertise in mathematical and statistical modeling and will have experience building data pipelines and models using Python, SQL, and PySpark.

Responsibilities

• Solve complex data science problems using appropriate statistical and/or ML models; present results to stakeholders.
• Process, cleanse, and verify the integrity of data used for analysis.
• Create automated alerting and notification systems for deviations in data quality, validation failures, or unusual patterns.
• Evaluate new datasets for the firm.
• Contribute to the firm’s documented, unit-tested analytics library.
• Design, develop, and optimize scalable and fault-tolerant data pipelines using Databricks, Airflow, Python, and Spark.
• Build resilient data pipelines that handle vendor-related issues such as delayed deliveries, schema changes, incomplete records, and data corruption.
• Utilize agentic workflows to automate redundant work.

Requirements

• Advanced Python for data processing, scripting, and automation.
• Fluency in PySpark/Spark or SQL.
• Bachelor's or higher degree, or significant experience in Statistics, Mathematics, Computer Science, Information Science, or a similar quantitative discipline.
• Excellent knowledge of multivariate statistical analysis, including but not limited to ordinary least squares, principal component analysis, factor analysis, LDA, and panel methods.
• Excellent knowledge of other ML methods including additive modeling and ensemble modeling.
• Experience using Gen-AI tools for workflow improvement.
• Familiarity with cloud data platforms (AWS) and cloud-based storage solutions.
• Strong troubleshooting skills to diagnose and resolve performance bottlenecks in data pipelines.

Nice to Have

• Experience with named entity resolution methods a strong plus.

Benefits

In addition to salary, M Science offers, for eligible employees, an annual discretionary incentive bonus, competitive employee benefits, including: medical, dental, & vision coverage; 401(k); life, accident, disability insurance; and wellness programs including discounted and flexible gym memberships; and a robust employee discount program. M Science also offers paid time off packages that include planned time off (vacation), unplanned time off (sick leave), paid holidays and paid parental leave.

About Company

M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. M Science is revolutionizing research, discovering new data sets, and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data, and technology to create a truly unique value proposition for both financial services firms and major corporations.

How to Apply

Apply via the employer's career page.