Data Scientist

Title: Data Scientist

Location: New York, NY

About M Science:

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.

Job Overview:

We are 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. This person will test new data assets for the firm, solve complex data problems, contribute to the firm’s analytics library, and use traditional machine learning and statistical methods to improve panel data. M Science expects its data scientists to implement production code, so the ideal candidate will have experience writing well tested, performant, object-oriented code.

Responsibilities:

• Solve complex data science problems using appropriate statistical and/or ML models; present results to the 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
• Able to utilize agentic workflows to automate redundant work

Qualifications:

• 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
• Experience with named entity resolution methods a strong plus
• Familiarity with cloud data platforms (AWS) and cloud-based storage solutions
• Strong troubleshooting skills to diagnose and resolve performance bottlenecks in data pipelines

Primary Location: New York, NY

Salary Range: $90,000-$175,000 USD/Annual

The salary offered will take into consideration an individual’s experience level and qualifications. 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.