Data Scientist

M Science; United States; On-site; USD 90,000 - 175,000; Full time

Benefits offered by this job

Annual discretionary incentive bonus

Medical coverage

Dental coverage

Vision coverage

401(k)

Life insurance

Disability insurance

Wellness programs

Employee discount program

Paid time off packages

Job summary

M Science, a data-driven research and analytics firm in New York, seeks a Data Scientist to design and develop pipelines and AI/ML models across 50+ alternative data panels. You will build production‑grade code in Python, SQL, PySpark, and cloud environments, testing new data assets and contributing to the analytics library.

The role emphasizes statistical modeling, data quality, and scalable data pipelines with Databricks, Airflow, and Spark, plus strong problem-solving and testing practices.

Qualifications

• Advanced Python for data processing, scripting, and automation.
• Fluency in PySpark/Spark or SQL.
• Bachelor's or higher degree in Statistics, Mathematics, Computer Science, Information Science, or a similar quantitative discipline.
• Excellent knowledge of multivariate statistical analysis and panel methods (e.g., OLS, PCA, factor analysis, LDA).
• Experience with gen-AI tools for workflow improvement.

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 and schema changes.
• Utilize agentic workflows to automate redundant work.

Skills

Advanced Python

PySpark/Spark or SQL

Troubleshooting data pipelines

Gen-AI workflow tools

Education

Bachelor's or higher in a quantitative field

Tools

Databricks

Airflow

Spark

Python

SQL

Job description

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

For eligible employees, the following benefits are offered:

• Annual discretionary incentive bonus
• Medical coverage
• Dental coverage
• Vision coverage
• 401(k)
• Life insurance
• Accident insurance
• 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