Data Scientist

M Science is a data-driven research and analytics firm that uncovers new insights for leading financial institutions and corporations. The company revolutionizes research by discovering new data sets and pioneering methodologies to provide actionable intelligence. Their research teams leverage decades of experience with massive amounts of unstructured data in near real-time to discern critical insights, helping clients make smarter, more informed decisions. M Science combines finance, data, and technology to create a 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 possess deep expertise in mathematical and statistical modeling and will be proficient in building data pipelines and models using Python, SQL, and PySpark.

Responsibilities

• Solve complex data science problems using appropriate statistical and/or ML models and 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 generative 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 is a strong plus.

Benefits

In addition to salary, M Science offers eligible employees:

• Annual discretionary incentive bonus.
• Competitive employee benefits, including: medical, dental, & vision coverage.
• 401(k).
• Life, accident, and disability insurance.
• Wellness programs including discounted and flexible gym memberships.
• Robust employee discount program.
• 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 that uncovers new insights for leading financial institutions and corporations. The company revolutionizes research by discovering new data sets and pioneering methodologies to provide actionable intelligence. Their research teams leverage decades of experience with massive amounts of unstructured data in near real-time to discern critical insights, helping clients make smarter, more informed decisions. M Science combines finance, data, and technology to create a unique value proposition for both financial services firms and major corporations.

How to Apply

Apply directly through the provided job board link.